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Review

Role of 18F-FDG PET/CT in Head and Neck Squamous Cell Carcinoma: Current Evidence and Innovative Applications

by
Carmelo Caldarella
1,
Marina De Risi
1,
Mariangela Massaccesi
2,
Francesco Miccichè
3,
Francesco Bussu
4,5,
Jacopo Galli
6,7,
Vittoria Rufini
1,8,* and
Lucia Leccisotti
1,8
1
Nuclear Medicine Unit, Department of Radiology and Oncologic Radiotherapy, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
2
Radiation Oncology Unit, Department of Radiology and Oncologic Radiotherapy, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
3
Radiation Oncology Unit, Ospedale Isola Tiberina—Gemelli Isola, 00186 Rome, Italy
4
Otorhinolaryngology Operative Unit, Azienda Ospedaliero Universitaria Sassari, 07100 Sassari, Italy
5
Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy
6
Otorhinolaryngology Unit, Department of Neurosciences, Sensory Organs and Thorax, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
7
Section of Otolaryngology, Department of Head-Neck and Sensory Organs, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
8
Section of Nuclear Medicine, Department of Radiological Sciences and Hematology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
*
Author to whom correspondence should be addressed.
Cancers 2024, 16(10), 1905; https://doi.org/10.3390/cancers16101905
Submission received: 5 April 2024 / Revised: 8 May 2024 / Accepted: 13 May 2024 / Published: 16 May 2024
(This article belongs to the Special Issue Clinical and Translational Research in Head and Neck Cancer)

Abstract

:

Simple Summary

Among head–neck tumors, squamous cell carcinoma is the most frequent histotype and includes a range of malignancies with different sites of origin as well as different therapeutic strategies and clinical outcomes. In daily practice, patients with head–neck squamous cell carcinoma are seen in various clinical settings, requiring a multidisciplinary approach to therapeutic decisions and clinical care. 18F-FDG PET/CT plays a well-defined role in the management of these tumors for pre-treatment staging and radiotherapy planning as well as treatment-response assessment and post-therapy follow-up. This paper is an overview of the standard use of 18F-FDG PET/CT in the various clinical scenarios of head–neck squamous cell carcinoma. Also, emerging applications will be reviewed, including the use of radiopharmaceuticals other than 18F-FDG, PET/MRI implementation in clinical practice, and the use of radiomics and machine learning.

Abstract

This article provides an overview of the use of 18F-FDG PET/CT in various clinical scenarios of head–neck squamous cell carcinoma, ranging from initial staging to treatment-response assessment, and post-therapy follow-up, with a focus on the current evidence, debated issues, and innovative applications. Methodological aspects and the most frequent pitfalls in head–neck imaging interpretation are described. In the initial work-up, 18F-FDG PET/CT is recommended in patients with metastatic cervical lymphadenectomy and occult primary tumor; moreover, it is a well-established imaging tool for detecting cervical nodal involvement, distant metastases, and synchronous primary tumors. Various 18F-FDG pre-treatment parameters show prognostic value in terms of disease progression and overall survival. In this scenario, an emerging role is played by radiomics and machine learning. For radiation-treatment planning, 18F-FDG PET/CT provides an accurate delineation of target volumes and treatment adaptation. Due to its high negative predictive value, 18F-FDG PET/CT, performed at least 12 weeks after the completion of chemoradiotherapy, can prevent unnecessary neck dissections. In addition to radiomics and machine learning, emerging applications include PET/MRI, which combines the high soft-tissue contrast of MRI with the metabolic information of PET, and the use of PET radiopharmaceuticals other than 18F-FDG, which can answer specific clinical needs.

1. Introduction

Head–neck (HN) cancer, which is the seventh most common malignancy worldwide [1] refers to a heterogeneous group of tumors. Squamous cell carcinoma (SCC) is the most frequent histotype (up to 90% of all HN cancers), including a range of malignancies with different sites of origin as well as different therapeutic strategies and clinical outcomes [2,3]. Less common types of HN tumors are lymphomas, thyroid, or salivary gland tumors, paragangliomas, and skin cancers, each with a specific clinical behavior and treatment [4,5].
Different imaging techniques are available with specific distinctive features that make their use complementary in the diagnostic work-up of patients with HN tumors. Ultrasonography is useful to detect cervical lymph nodes (LNs) and guide fine needle aspiration [6]. Due to the high spatial resolution and tissue contrast, contrast-enhanced computed tomography (ceCT) and magnetic resonance imaging (MRI) are the techniques of choice for primary tumor evaluation and loco-regional staging, with preferential indications for each of them (for example, MRI is preferred over CT to assess skull-base invasion and perineural spread) [2,7]. However, their role in detecting lymph nodes and distant metastases is suboptimal, except for lung metastases that are better detected by chest CT [2,8,9]. 18F-fluorodeoxy-D-glucose positron emission tomography/computed tomography (18F-FDG PET/CT) is a well-established imaging tool in the management of HNSCC. The National Comprehensive Cancer Network (NCCN) guidelines support the use of 18F-FDG PET/CT in patients with advanced-stage disease in different clinical settings [2,3,10,11,12,13]. Various clinical scenarios confirm the versatility and importance of 18F-FDG PET/CT for the initial work-up (treatment planning) and treatment-response assessment, as well as for prognostic evaluation of HNSCC [10,11,12,14,15]. Among these is its ability to identify the occult primary tumor in cases of metastatic cervical involvement, thus guiding biopsy on the suspected site and allowing direct radiotherapy on the selected target only with relevant therapeutic advantages [16,17]. Moreover, due to its high negative predictive value, 18F-FDG PET/CT performed 3 months after the completion of chemoradiotherapy, can prevent unnecessary neck dissections, with fewer complications and adverse effects, an approach that is cost effective [14,18]. Radiopharmaceuticals other than 18F-FDG are available; they target specific biological features of HN tumors, such as hypoxia, protein synthesis, cell proliferation, somatostatin receptor expression, and others, with a potential added value in specific clinical settings [19,20,21,22,23,24,25].
In recent years, PET/CT scanners, which allow the correlation of anatomical with functional information, have gained important technological innovations resulting from advances in detector hardware, such as digital systems, and improvements in image reconstruction algorithms, such as time of flight, providing quick and high-resolution imaging with increased image quality [26,27,28,29]. Most recently, long-axial field of view (LAFOV) PET/CT systems allow for the simultaneous scanning of a large portion of the body (between 106 and 194 cm, according to the PET/CT scanner), with higher physical sensitivity and spatial resolution and reduced acquisition time than standard PET/CT devices [30,31,32,33,34]. Moreover, since the last decade, the integrated functional–anatomic imaging of HN cancers has been taking advantage of the development of PET/MRI technology, which combines the high soft-tissue contrast of MRI with the metabolic information on a patient’s disease status of PET [35]. Finally, the application of radiomics and machine learning is gaining more and more interest in oncologic imaging, including HN cancer imaging [36,37]. This article provides a comprehensive overview of the standard use of 18F-FDG PET/CT in the various clinical scenarios of HNSCC. Other topics that deserve to be addressed are the use of PET radiopharmaceuticals other than 18F-FDG in specific clinical settings of HNSCC or different histotypes, as well as PET/MRI implementation in clinical practice and the new perspectives offered by radiomics and machine learning.

2. Methodological Aspects and Pitfalls in Imaging Interpretation

Patient preparation and image acquisition are essential to optimize PET/CT imaging and interpretation and are performed according to international guidelines [38]. Patients are advised to fast 4–6 h prior to tracer injection to avoid an increase in glucose levels and the consequent reduction of 18F-FDG uptake by tumor cells due to the saturation of glucose transporters on the cell membrane [4]. For routine clinical studies, a plasma glucose level lower than 200 mg/dL is recommended [38]. When blood glucose levels are >200 mg/dL, the administration of rapid-acting insulin may be considered. However, an interval of ≥4 h between insulin injection and 18F-FDG administration must be respected to avoid the increased 18F-FDG muscle uptake induced by insulin [38]. For this reason, in clinical routine, this solution is rarely feasible. In our unit, we have adopted the following operative procedure:
Blood SamplingSerum Glucose LevelPrescription
Basal≤200 mg/dL18F-FDG injection
200–300 mg/dLInvite the patient to hydrate and walk for at least 30 min and recheck serum glucose levels
>300 mg/dLReschedule
After hydration and walking≤200 mg/dL18F-FDG injection
↓ but still >200 mg/dLDecision of rescheduling or injecting 18F-FDG made by nuclear medicine physician
Further ↑Reschedule
↓ : decrease; ↑ : increase.
After the 18F-FDG injection, patients are invited to rest and stay calm to minimize skeletal muscle uptake. To avoid brown fat activation in the HN region, a warm temperature in the injection room and a blanket put to cover the neck and thorax are advised [4]. Standard PET/CT imaging extends from the skull base to the upper thighs and is usually performed by acquiring low-dose unenhanced CT, providing high diagnostic performance for tumor staging. In selected cases, the use of intravenous contrast media may add diagnostic information [39,40]. To reduce artifacts on the CT (beam-hardening artifacts) or those due to attenuation correction on PET images in the HN region, the patient’s arms should be placed down. The use of dedicated acquisition protocols (e.g., a standard imaging from the skull base to mid thighs with the patient’s arms above the head followed by a PET/CT study of the neck with the patient’s arm placed down), as well as reducing artifacts, may improve the detectability of small lymph nodes [41,42,43] (Figure 1). PET/CT requires patient cooperation. To avoid misregistration artifacts and pitfalls in the interpretation of fused images, HN positioning as well as lack of motion of the HN during image acquisition are of critical importance. In selected cases, e.g., when the PET/CT study is performed for radiation planning, a neck immobilization device should be used [28].
In addition to image artifacts, PET/CT image interpretation may be hampered by the complex anatomy and the small size of the anatomical structures of the HN region, as well as the physiological and widely variable uptake of 18F-FDG in normal tissues, including vocal cords, salivary glands, cervical muscles, lymphoid tissue, and brown fat [43,44]. Various benign tumors, such as Warthin’s tumor, show increased 18F-FDG uptake [45]. Also, inflammatory processes can cause false-positive results due to 18F-FDG uptake by activated inflammatory cells, particularly those occurring in patients submitted to biopsy, surgery, or radiotherapy. Additionally, the presence of high-density material, such as metal dental prostheses or a chemotherapy port, or the presence of calcified lymph nodes, may further compromise the interpretation of PET/CT images, thus requiring non-attenuation corrected PET data evaluation. Also, standardized uptake value (SUV) measurements may be impaired [44]. A potential pitfall in image interpretation is the presence of perineural spread of HN cancer, as nuclear medicine physicians could be not familiar with this finding, which is usually characterized by a linear or curvilinear FDG uptake along the distribution of a certain cranial nerve [46]. Finally, knowledge of the patient’s medical history, including oncological history and relevant comorbidities (especially infection/inflammation), as well as the results of other imaging tests, is of utmost importance for the appropriate interpretation of PET/CT images. All relevant findings at PET/CT should be reviewed and discussed by a multidisciplinary team [1,38].

3. Pre-Treatment Staging

For HN tumors, the diagnostic process usually starts with a clinical examination by the specialist physician followed by an endoscopy and biopsies to assess the correct histological diagnosis. The next step is the accurate staging of the disease, which is necessary to reach the most appropriate treatment plan and obtain prognostic information.

3.1. Primary Tumor Assessment

Even though 18F-FDG PET/CT is highly sensitive in detecting primary HNSCC (>95% sensitivity), primary tumor assessment is usually performed with CT and/or MRI [47]. The main limitation of PET/CT, especially when performed with low-dose unenhanced CT, is its low spatial resolution, which does not allow for assessing tumor extension, as well as invasion, of adjacent structures. Conversely, ceCT and MRI have higher spatial resolution and tissue contrast, with preferred locations for one or another of these modalities [47]. Indeed, MRI is the preferred imaging modality in nasopharynx, oropharynx, and oral cavity tumors, as well as for perineural spread and bone marrow involvement, while ceCT is preferred for larynx tumors and bone cortex invasion [7,8]. Preoperative MRI is also considered the most useful method for evaluating mandibular invasion, an important issue in surgical treatment planning, which can be excluded due to the high negative predictive value (92.3%) of MRI in this setting [7]. The acquisition of ceCT as part of the combined PET/CT study, in addition to patient convenience, provides precise anatomic localization and delineation of the primary tumor when compared to non-enhanced PET/CT. In this context, iodinated contrast material has been shown to give only minor alterations in SUV measurement [47]. However, discordant results are reported with respect to nodal staging so that the clear diagnostic improvements of using PET/ceCT could not be demonstrated [39,40,48,49]. According to the ASCO guideline on “Diagnosis and management of squamous cell carcinoma of unknown primary in the head and neck”, 18F-FDG PET/CT is recommended in patients with metastatic cervical lymphadenectomy when the primary tumor is not evident on clinical examination and ceCT (strength of recommendation: strong) [16]. Indeed, less than 5% of patients with HNSCC present with cervical lymph node metastases, without clear evidence of the primary tumor at clinical examination, morphologic imaging, and panendoscopy [16]. Importantly, for this indication, PET/CT should be best performed prior to endoscopy, with the double benefit of reducing false-positive results and guiding biopsy [16,50]. In patients with metastatic cervical lymphadenectomy and unknown primary tumor at imaging, the detection rate of PET/CT is up to 42.5% [51,52,53]. According to a recent meta-analysis, the pooled detection rate was 40% (95% CI 31–49%) and the pooled false-positive rate was 9% (95% CI 5–13%) [17]. The most common sites of both true-positive and false-positive cases were the palatine tonsil and the base of the tongue, with false-positive results caused by high physiologic 18F-FDG activity at sites prone to inflammatory processes, such as the Waldeyer ring in the oropharynx [17,47]. In patients with an occult primary tumor, PET/CT results can impact therapeutic management, both by guiding surgical planning or directing individual changes in radiation-treatment volumes, which will cover only primary tumor sites instead of more extensive irradiation in case of an unknown primary [16]. Less frequently, a change in management in patients with an unknown primary is given by PET/CT through the detection of synchronous primary tumors or distant metastases (Figure 2).

3.2. Cervical Lymph Node Assessment

In patients with HNSCC, cervical LN involvement is one of the most important prognostic factors, as the presence of nodal metastases at initial diagnosis is the strongest predictor for nodal recurrence and the eventual development of distant metastases [54]. Survival is reduced by 50%, even with occult nodal involvement [55]. When LN metastases are documented, the disease is upstaged to stage III, even with T1/T2 primary lesions, thus requiring a multimodality therapeutic approach, i.e., surgery followed by adjuvant concurrent chemotherapy and radiotherapy or exclusive chemoradiotherapy [54]. HNSCC patients who are node negative can be spared from neck dissection, a surgical intervention that is associated with morbidity, particularly with damage to cranial nerves and shoulder dysfunction [56,57].
To detect nodal involvement in clinically negative patients (cN0), various imaging modalities can be used, including ultrasonography, ceCT, MRI, and 18F-FDG PET/CT, all showing suboptimal sensitivity and ranging between 52 and 71% [9]. In this setting, the role of sentinel node biopsy (SNB) in the clinically negative neck is more and more recognized. When compared with standard imaging modalities, SNB is the best-performing diagnostic tool for staging patients with cN0 HNSCC [58,59], with a negative predictive value of 96% [60] and a specificity of up to 99% [61]. Two large phase III randomized controlled trials confirmed that neck dissection can be safely avoided when SNB is negative, without affecting survival [62,63]. Despite these positive results, the widespread application of this procedure comes up against several limitations for its routine use in HN oncology, including the need for appropriate equipment and trained personnel; moreover, a multidisciplinary team including surgeons, nuclear medicine physicians, and pathologists is required [59].
The literature data support the superiority of 18F-FDG PET/CT over ceCT and MRI in detecting LN involvement and defining its extent, with an overall sensitivity and specificity of 79–89% and 86%, respectively [56,64]. A clear advantage of functional imaging is that the size and structural criteria for LN involvement, which are applied for morphologic imaging are not required to visualize lesions by PET/CT, which detects metabolic changes in tumor cells. Due to its higher sensitivity in small nodal disease, 18F-FDG PET/CT allows for a better definition of the clinical target volume when primary exclusive chemoradiotherapy is indicated, with a higher dose on the involved nodal echelon. When the primary treatment is going to be surgery, nodal staging by 18F-FDG PET/CT allows for avoiding undertreatment and modifying the surgical planning, for example, by detecting positive LN(s) contralateral to the primary tumor in oral cavity SCC, thus leading to bilateral neck dissection (Figure 3), or occult retropharyngeal nodes in patients with oropharyngeal SCC, which would be missed by conventional neck dissection [56,65].
Another situation when 18F-FDG PET/CT can be particularly useful for nodal staging is malignancies with an “intermediate” propensity to neck metastasis (regional relapse rate between 10 and 20% if the cN0 neck is not dissected) as SCC arising in the nasal vestibule. In these cases, the high sensitivity of 18F-FDG PET/CT would increase the reliability of nodal clinical staging. Moreover, when negative, it would allow a safer indication to observation, avoiding at the same time unnecessary neck dissections, which carry a risk of high morbidity due to the close anatomic relationship of the marginalis mandibulae nerve to the elective metastatic echelon (level IIB) [66,67]. However, both false-positive results in the case of inflammatory nodes and false-negative results in the case of necrotic or microscopic LNs are encountered. Indeed, necrotic LNs can escape from visualization at non-enhanced PET/CT as central necrosis, which is considered a reliable sign of metastatic LN and is clearly defined by ceCT, does not show FDG uptake [40,68] (Figure 4).
Therefore, in selected cases, particularly human papillomavirus (HPV)-associated HNSCCs (most commonly oropharyngeal) or metastasis from an unknown primary in whom necrotic LNs are more frequently present, the acquisition of cePET/CT may be useful [40,68]. Also, microscopic LNs may be missed by PET/CT, [69] due to the finite spatial resolution of PET/CT scanners (2–4 mm with last-generation scanners) [26]. Indeed, in cN0 patients, the reported sensitivity of PET/CT in detecting LN involvement decreases to 50–71%, with significantly better results than ceCT or MRI in a few series only [56,63]. In the prospective, nonrandomized, multicenter trial of the American College of Radiology Imaging Network (ACRIN) 6685, in T2–T4 HNSCC, a high negative predictive value (about 87% for visual analysis and about 94% for SUV analysis) was shown, with a change in surgical planning in 22% of cases, thus suggesting that PET/CT results may help the clinician in deciding on the best therapeutic approach for cN0 HNSCC patients [70,71]. With a more widespread use of LAFOV systems, which are characterized by higher physical sensitivity and spatial resolution than standard scanners, a higher detection rate for micro-metastatic LNs in various tumors, including HNSCC, is expected [34,72].

3.3. Distant Metastasis Assessment

In HNSCC, the overall incidence of distant metastases at initial diagnosis is low, ranging from 2% to 18% [56]. Screening for distant metastases is critical in patients with advanced disease, particularly those with nodal involvement, in naso- and hypopharyngeal carcinomas, since the detection of distant metastasis prevents unnecessary aggressive surgery, and in recurrent disease. The most common sites are the lungs, bone, and liver. In this setting, according to the NCCN guidelines, 18F-FDG PET/CT is the preferred technique for patients with locoregionally advanced cancer (i.e., T3–T4 primary tumor and ≥N1 nodal staging) [2]. In this context, 18F-FDG PET/CT shows a high accuracy, particularly in detecting those bone metastases that can escape from CT detection. Exceptions are small lung lesions, which are better detected by a chest CT [2]. Also, brain metastases cannot be evaluated by 18F-FDG PET/CT due to the intense physiologic tracer uptake in the brain. However, they are a rare occurrence in HNSCC (less than 1%) [73]. In those cases, in whom these lesions are suspected (i.e., mucosal melanoma, neuroendocrine carcinoma, or adenocarcinoma), contrast-enhanced brain MRI should be performed [2].

3.4. Second Primary Tumor Assessment

Second primary tumors, which can arise simultaneously (synchronous tumors) or subsequently (metachronous tumors), occur in 5–10% of HNSCC patients, mainly those who are smokers and HPV negative [74,75]. The most frequent sites of origin are the HN region, esophagus, and lungs (Figure 5); the less frequently reported sites are the thyroid, colon, breast, bile duct, and prostate [76]. The detection of a second primary tumor does impact patient treatment and management and requires a well-coordinated multidisciplinary approach. 18F-FDG PET/CT is an accurate method to detect second primary tumors, with a high negative predictive value of up to 100% [77].
As previously reported, to evaluate lung lesions, the standard workup of primary HNSCC includes a chest CT. However, differentiating second lung primaries from metastatic pulmonary nodules can be a challenge. Multiple lung nodules in the absence of advanced/recurrent nodal disease should be considered in the first instance as metastasis from another primary rather than from the known HNSCC. This is not an uncommon clinical scenario, one for which 18F-FDG PET/CT offers the incomparable advantage of detecting the second primary malignancy that, in these cases, is mostly located in the gastroenteric tract, namely the esophagus and colon. However, false-positive PET/CT findings are possible, such as inflammation and benign hyperplasia in the HN region or other sites that can concentrate 18F-FDG [10].

3.5. Prognostic Significance of Pre-Treatment PET/CT

Despite the recent advances in therapeutic strategies, the prognosis of patients with HNSCC remains poor, with a high recurrence rate (30–40%) [15]. Therefore, the identification of factors holding prognostic or predictive significance is of critical importance in guiding patient management. Patients with unfavorable prognostic factors may require more aggressive treatment, and patients with predictive biological markers may benefit from specific therapeutic strategies [78]. Traditionally recognized prognostic and/or predictive factors include tumor site and size, tumor grade and differentiation, depth of invasion, lympho-vascular and perineural invasion, and LN metastases [78]. More recently, biological markers, such as HPV detection in oropharyngeal SCC and Epstein–Barr virus detection in nasopharyngeal carcinomas, as well as specific genetic changes, have been applied (see below Section 3.6) [78]. In this context, the prognostic and predictive value of various 18F-FDG pre-treatment parameters in patients with HNSCC has been extensively investigated. Indeed, it is well known that 18F-FDG uptake into tumor cells is determined by many factors, such as the up-regulation of glucose transporters and hexokinase enzymes, neo-angiogenesis, and other factors, that reflect tumor aggressiveness and proliferative activity [79]. Among conventional imaging parameters, such as maximum, mean, peak standardized uptake values (SUVmax, SUVmean, and SUVpeak, respectively), metabolically active tumor volume (MTV), and total lesion glycolysis (TLG), the volumetric parameters MTV and TLG showed to be independent prognostic factors in most of the studies, with a higher prognostic value than SUVmax in terms of disease progression and overall survival [15]. In this scenario, an emerging role is played by radiomics, i.e., the extraction and analysis of various quantitative features from medical images including PET, which reflect tumor FDG distribution and, therefore, its heterogeneity. This topic is separately discussed in this review (see “Application of radiomics and machine learning”).

3.6. Proper Clinical Assessment and the Issue of HPV Involvement

Despite the histological homogeneity, HNSCCs are an extremely heterogeneous group of malignancies from a clinical point of view. Such heterogeneity must be taken into full account when interpreting PET/CT findings. Therefore, the more accurate the clinical staging, the more reliable will be the PET/CT report. In this context, the most relevant aspects are the primary site (for example, the retropharyngeal nodal metastasis as peculiar to the pharyngeal primaries, therefore, in these cases, an 18F-FDG uptake at that level should be always considered) and the virus-induced carcinogenesis. As previously mentioned, HPV-positive oropharyngeal SCC is characterized by a series of features that can deeply influence the interpretation of PET findings, in particular:
  • the high rate of cystic/necrotic neck metastasis with a typical low 18F-FDG uptake [68];
  • the low rate of second primary tumors (mainly lung and esophagus) [75];
  • the slow response with a longer persistence of increased SUV, particularly in neck nodes, even in case of complete response after chemoradiotherapy [14].
Therefore, the correct definition of HPV-driven carcinogenesis as part of the work-up is of paramount importance, and the possibility of false-positive findings at sole p16-immunohistochemistry should not be underestimated [80,81]. In populations with a rate of HPV-driven SCC in the oropharynx below 40%, p16 overexpression should be integrated with nucleic acid detection to confirm HPV-driven carcinogenesis and draw proper clinical considerations [82,83].

4. Radiotherapy Planning

PET/CT imaging, particularly with 18F-FDG, has emerged as a cornerstone in enhancing radiation-treatment planning in locally advanced HN cancers by defining patient selection and the goal of radiation treatment, as well as through accurate delineation of target volumes and treatment adaptation, facilitating intended management and dose escalation, and potentially reducing treatment-related toxicity (Table 1) [84].
As described above, a well-known distinctive advantage of 18F-FDG PET/CT is its ability to detect hidden primary tumors in patients with metastatic cervical LNs from unknown primaries. This reduces the radiotherapy target volume, minimizing treatment side effects [16,17]. Moreover, technological innovations, with the development of PET/CT devices with higher physical sensitivity and spatial resolution, can lead to increased detection rates of small nodal metastases, altering tumor load in the target volumes and impacting radiotherapy dosing with the inclusion of low-volume disease in high-dose volumes [85]. In clinical routine, visual analysis with manual contouring is the most used segmentation method, even though its use is hampered by display windowing and the subjective nature of the analysis. Other methods include the use of quantitative parameters derived from 18F-FDG PET/CT, such as SUVmax, MTV, and TLG [85,86]. These parameters can be considered in the choice of personalized doses and volumes in radiotherapy treatment planning, as demonstrated in “dose painting” by numbers studies, in which the dose delivered to each voxel of the target is based on the signal intensity of that voxel on the PET image [87]. PET/CT can potentially modify initial radiotherapy planning in a considerable fraction of patients due to its enhanced accuracy in delineating gross tumor volumes (GTV), sometimes offering a more defined GTV compared to those obtained from ceCT or MRI [88,89,90,91]. However, the primary limitation of this approach arises from the absence of standardized methods for segmenting functional volumes, significantly impacting the resulting GTV and shape [88,89]. International consortia have been established to define shared contouring guidelines, identifying and distinguishing—by the co-registration of PET/CT images with CT images for radiation-treatment planning—a high-risk volume, an intermediate-risk volume, and a low-risk volume with different prescription doses [88,89]. Furthermore, 18F-FDG PET/CT may not reliably detect small superficial tumor deposits or nodal micrometastases, emphasizing the importance of clinical assessment and the need for further improvements in imaging technologies for radiation-treatment planning in HNSCC [92].
Loco-regional failure is a common event in locally advanced HN cancer, with up to 50% of patients having a poor prognosis [93]. Most of the loco-regional failures in patients undergoing intensity-modulated radiation therapy (IMRT) occur within areas receiving the highest prescribed radiation dose [94]. While an increased radiation dosage can enhance local control due to a dose–response relationship, intensified treatment targeting the entire GTV may increase toxicity, necessitating cautious consideration [95]. Tumor sub-volumes with increased metabolism and hypoxia often exhibit increased radio resistance, making them more resistant to standard treatment approaches, as documented in several studies where PET/CT with specific hypoxia tracers was used to personalize radiotherapy doses [96,97,98]. Boosting radiotherapy to specific tumor sub-volumes, such as hypoxic or resistant areas, may lead to improved local control and patient outcomes. The FiGaRO trial evaluated the safety and feasibility of using 18F-FDG PET/CT-based dose painting with intensity-modulated radiotherapy to administer a boost to the 18F-FDG-avid primary tumor in locally advanced high- and intermediate-risk oropharyngeal cancers, showing comparable late toxicity rates to standard-dose chemo-IMRT and suggesting improved 3-year survival rates for high-risk patients [99]. 18F-FDG PET-guided dose escalation has been investigated in multiple phase 1 trials and a recently published phase 3 trial [100]. The latter study, performed in a mixed population with locally advanced HNSCC showed no significant improvement in locoregional control, progression-free survival, or overall survival. A comparable two-year toxicity rate with respect to conventional treatment was observed. However, the sub-group analysis of patients with oropharyngeal and stage N0–1 cancer treated with 18F-FDG PET-guided dose redistribution showed improved locoregional control compared to the control group. These preliminary results should be further investigated by analyzing treatment efficacy and outcome after 18F-FDG PET-guided dose-escalation according to different tumor sites and stages [100].
Tracers like 18F-fluoromisonidazole (18F-FMISO) and 18F-fluoroazomycin-arabinofluranoside (18F-FAZA) are under investigation for their ability to provide quantitative evaluations of tissue hypoxia [101]. This topic is separately discussed in this review (see “PET radiopharmaceuticals other than 18F-FDG”).
PET/CT can play a central role in the complex topic of replanning in radiotherapy. Indeed, radiotherapy adaptation through replanning is a useful procedure for correcting patient anatomical changes related to possible weight loss during therapy, or it could be necessary when target volumes need to be redefined due to a relevant clinical response of the disease. In these cases, PET/CT imaging during treatment can lead to personalized care by considering the clinical behavior of the tumor. The mid-treatment metabolic imaging can guide strategies of dose and volume modulation to propose treatment personalization through a new radiotherapy plan that considers the biological response of the tumor; the reduction of GTV revealed by 18F-FDG PET/CT at mid-treatment evaluation potentially leads to changes in the radiation dose with decreased toxicity and improved local control [102]. Moreover, mid-treatment assessments using 18F-FDG PET/CT scans offer valuable insights into treatment-response prediction, shaping the blueprint for adaptive clinical trials [103]. A recent randomized phase II trial demonstrated the efficacy of a PET-based adapted dose escalation approach in enhancing local control of HN cancer over traditional IMRT, supporting the need for further exploration in larger phase III trials [104].

5. Treatment-Response Assessment

Current international guidelines support the use of imaging 3–6 months after the primary treatment in patients with locally advanced HN cancer to assess treatment response, identify residual tumors, and have a baseline post-treatment imaging examination [1,2,105]. Because of its high negative predictive value (94–97%) with optimal performance approximately 3 months after the end of the treatment, 18F-FDG PET/CT can reduce the number of unnecessary invasive procedures or therapeutic interventions [1,18,106,107,108]. A prospective, randomized, controlled trial in more than 550 patients with HNSCC and N2 or N3 disease found that 18F-FDG PET/CT after primary chemoradiotherapy was associated with a reduction in neck dissections, fewer surgical complications, and adverse effects and, finally, with lower treatment costs [14]. Currently, neck dissection is not recommended in cases of negative 18F-FDG PET/CT and normal-size LNs 3 months after chemoradiotherapy [1]. 18F-FDG PET/CT performed 3–6 months after the primary treatment is also correlated with overall and disease-free survival [105,109,110]. Early 18F-FDG PET/CT, 3 months after the end of radiotherapy, is associated with significant false-positive rates and is not recommended in the absence of signs of recurrence or progression [2]. Early after chemoradiotherapy, the positive predictive value and specificity are lower, possibly due to the increased vascularity, edema, and inflammatory changes related to treatment. However, diffuse 18F-FDG uptake at the primary site and in the neck is more consistent with inflammation related to post-therapy changes, whereas intense and focal 18F-FDG uptake is more likely related to residual disease (Figure 6). Several criteria have been proposed to evaluate treatment response to 18F-FDG PET/CT in patients with HN cancer, including the Hopkins and the Head and Neck Imaging Reporting and Data System criteria (NI-RADS) [111,112] (Table 2). According to the Hopkins criteria, the lesions are classified according to a five-point scale relative to physiologic 18F-FDG avidity in reference structures, the internal jugular vein, and the liver. In NI-RADS, the 18F-FDG PET/CT results are combined with anatomical imaging findings, and the scores range from zero to four. However, NI-RADS demonstrated many indeterminate cases, most likely due to the absence of a reference standard for 18F-FDG uptake, which may lead to poor inter-reader reproducibility [113]. Treatment response can be assessed qualitatively or semi-quantitatively by the calculation of several PET metrics (e.g., SUV, MTV, and TLG). Both methods can be used to interpret PET scans with a reliable degree of accuracy [87,107].
Quantitative evaluation allows a more objective comparison of metabolic activity in the same lesion over time and is commonly used in clinical trials to predict outcomes. Quantitative analysis has typically been used to evaluate the ability of 18F-FDG PET/CT to predict early response during chemoradiotherapy or radiotherapy to intensify treatment in case of non-response or to reduce the intensity of the remaining therapy in patients who achieve a complete response [104,114]. At interim PET, reduction of SUVmax or an MTV higher than 50% in the primary tumor was associated with higher 2-year overall survival and locoregional control [103,115], and an SUVmax reduction ratio < 0.64 resulted in lower 2-year overall survival and disease-free survival [116]. However, larger sample-sized studies and external validation of metabolic parameters are needed to implement adaptative treatment guided by functional imaging.
Table 2. Standardized reporting systems for 18F-FDG PET/CT: Hopkins criteria and Neck Imaging Reporting and Data System [111,112].
Table 2. Standardized reporting systems for 18F-FDG PET/CT: Hopkins criteria and Neck Imaging Reporting and Data System [111,112].
Criteria
HOPKINS18F-FDG uptake pattern at the primary site and nodesResponse category
1focal uptake less than IJVComplete metabolic response
2focal uptake, greater than IJV but less than liverLikely complete metabolic response
3diffuse uptake greater than IJV or liverLikely inflammatory changes
4focal uptake greater than liverLikely residual tumour
5focal and intense uptakeResidual disease
NI-RADSPrimary site responseManagement recommendations
0Incomplete and baseline imaging not availableAssign score after availability of prior scan
1No evidence of recurrenceRoutine surveillance, CECT
2Questionable recurrence:
a.
Superficial abnormality (skin, mucosal surface, etc.)
b.
Deep abnormality < 1 cm with mild/intermediate 18F-FDG
c.
Deep abnormality > 1 cm with mild/intermediate 18F-FDG
Direct visual inspection
Short interval follow-up PET/CECT
Short interval follow-up or biopsy if clinically indicated
3High suspicion of recurrence: new discrete nodule or mass, 18F-FDG avidBiopsy if clinically needed
4Known recurrence, biopsy provenClinical management
Node response
1No evidence of nodal disease recurrenceRoutine surveillance
2Questionable nodal recurrence or residual nodal disease:
a.
<1.5 cm with mild/intermediate 18F-FDG
b.
>1.5 cm with mild/intermediate 18F-FDG
Surveillance
Biopsy or short-interval follow-up
3High suspicion of recurrence (new, enlarging, FDG avid)Biopsy if clinically needed
4Known recurrence, biopsy provenClinical management
IJV: internal jugular vein; NI-RADS: Neck Imaging Reporting and Data System.18F-FDG PET/CT is effective for detecting early asymptomatic lesions generally occurring at distant sites [117]. Whether earlier detection leads to improved disease-specific survival is not established. In patients with negative 18F-FDG PET/CT at 3 months post-treatment, subsequent surveillance should be tailored according to tumor type, stage, prognostic factors, symptoms, and physical exam changes.

6. Long-Term Follow-Up (≥6 Months to 5 Years Post-Treatment)

Approximately 50% of patients with locally advanced HNSCC relapse after primary treatment with distant metastases and/or local or regional disease in the first 2 years [118]. Post-treatment imaging is recommended if symptoms appear, if there are abnormalities on clinical examination, or if detection of the tumor may be difficult by clinical examination or direct inspection only [2]. There are no consensus guidelines on the frequency and modality of routine post-treatment imaging in asymptomatic patients. The literature data show that 18F-FDG PET/CT performed 1 year after treatment can reveal recurrent or second primary cancers in approximately 10% of patients, and 2-years 18F-FDG reveals these findings in approximately 5% of treated patients [105].

7. Cost-Effectiveness Analysis

As previously described, current guidelines support the adoption of a PET/CT-guided approach into routine clinical practice for HN cancer patients treated with chemoradiotherapy, i.e., avoidance of neck dissection in patients with negative PET/CT performed at 3 months after completion of chemoradiotherapy [2]. This approach, in addition to showing clinical utility in terms of outcome, also has economic implications. Initial non-randomized studies—one performed according to Australian health care [119] and three according to United States health care [120,121,122]—found that 18F-FDG PET/CT is a cost-effective alternative to neck dissection. These observations were confirmed by the large United Kingdom clinical trial PET-Neck, a phase III prospective, randomized, controlled trial performed on patients with loco-regionally advanced HN cancer (oropharyngeal, laryngeal, oral, hypopharyngeal, or occult, with stage N2 or N3 and M0 disease) who received chemoradiotherapy for primary treatment. This study demonstrated that PET/CT-guided surveillance, when compared to neck dissection, was cost-effective over a short-term period (at least 2 years follow-up post-randomization), resulting in far fewer operations (about 80% of patients were spared from surgery) and in saving GBP 1492 (approximately USD 2190) per person [14]. The quality of life was similar in the two groups. Comparable results were subsequently reported by extrapolating the data over a long-term period (additional follow-up up to 5 years) [123].

8. PET Radiopharmaceuticals Other Than 18F-FDG

In the last years, more tumor-targeted PET radiopharmaceuticals, which reflect biologic characteristics of HN tumors have been proposed, either in specific clinical settings or in different histotypes (Table 3) [19]. These radiopharmaceuticals may overcome the most relevant drawbacks of 18F-FDG, like non-specific uptake due to inflammation, which could hamper its diagnostic worth in terms of specificity and positive predictive value (especially after radiotherapy), or high physiological uptake by anatomical structures usually harboring HN cancer, which leads to a reduced tumor-to-background ratio. This is of clinical significance in patients with an unknown primary neoplasm or for detecting skull-base invasion or brain/skull metastases. 18F-FDG also suffers from very low uptake in some well-differentiated histotypes, including their metastases and, therefore, is not suitable for staging, restaging, and treatment efficacy evaluation in these patients.
Hypoxia is a common event and the main cause of local failure after radiotherapy in HN cancer [124,125]. Hypoxic volumes measured using 18F-FMISO and 18F-FAZA PET/CT at staging are more prone to loco-regional recurrence regardless of primary tumor grading, and also in HPV-positive patients. Non-invasive detection of hypoxia is useful for tumor “dose painting”, that is, dose escalation to the PET-depicted hypoxic volumes, without an increased risk of damage to neighboring critical structures [20,101,126,127,128] and possibly carrying a lower risk of loco-regional recurrence in comparison with standard protocols [20]. Indeed, hypoxic sub-volumes may be unevenly distributed throughout the gross tumor volume visible on a CT or an MRI. Therefore, the extent of the disease amenable to receive a dose boost may be much lower, and with a completely different distribution, than the anatomical lesion. This makes it possible to spare sensitive structures (e.g., nerves, vessels…) anatomically enclosed by the tissue. However, variations in tumor size and geographical distribution of hypoxic volumes during radiotherapy, coupled with radiation-induced inflammation or edema, and re-oxygenation phenomena, may reduce the effectiveness of dose escalation protocols on local and/or distant disease control [101,129,130]. In this view, performing serial PET/CT scans during radiotherapy may identify patients with worse local control who exhibit persistent hypoxia just 2 weeks after radiotherapy started [131]; also, tumor sub-volumes at higher risk of recurrence are identified, which are persistently hypoxic across baseline and during-treatment PET/CT imaging [129]. Interestingly, in most HN cancer lesions, hypoxic volumes depicted using 18F-FMISO are not correlated spatially to the areas with the highest 18F-FDG uptake. Therefore, 18F-FDG should not be used as a surrogate to predict hypoxia [132].
A clear advantage of fibroblast-activating protein inhibitors (FAPi) over 18F-FDG is their high tumor-to-background contrast that allows an exceptionally clear tumor delimitation in districts with high 18F-FDG background uptake (e.g., brain, liver, spleen, bowel, and tonsils) [133]. As reported in a recent systematic review and meta-analysis [134], FAPi PET/CT is very useful for detecting unknown primary HN tumors in patients with cervical LN metastases, thanks to higher uptake than surrounding healthy tissue, and is better than 18F-FDG in assessing skull-base invasion due to negligible brain uptake (superior performance than MRI in patients with nasopharyngeal carcinoma) [135]. Moreover, FAPi PET/CT is helpful for detecting cervical LN metastases from HN cancer, with acceptable sensitivity (80–90%, false-negative findings in lesions < 5 mm) and higher specificity than 18F-FDG (93.3% vs. 81.3%) due to less inflammatory false-positive nodes [21,136]. FAPi PET/CT is superior to 18F-FDG in detecting distant metastases, especially in the bone and brain [133,135].
Methionine is an essential amino acid incorporated into proteins; when labeled with carbon-11 (C-MET), it may be used as a radiopharmaceutical for detecting protein synthesis in malignant and benign conditions. Its ability to detect response to conventional radiotherapy and carbon-ion therapy in adenocarcinomas, adenoid cystic carcinomas, and even more uncommon histologies (e.g., mucosal melanoma) has been confirmed in the last 30 years [22,137,138]. In patients undergoing radiotherapy or carbon-ion therapy, higher residual C-MET uptake at post-treatment PET/CT predicts an increased risk of local recurrence and, in patients with mucosal melanoma, also of distant metastases [137,138,139]. Moreover, patients with suspected HN cancer recurrence may benefit from the higher specificity of C-MET (76% vs. 56%) after equivocal 18F-FDG PET/CT, thus reducing the need for targeted biopsies [23].
Fluorine-18 labeled amino acid-based radiopharmaceuticals have been proposed, particularly, O-2-fluoro-18(F)-ethyl-L-tyrosine (18F-FET), which enters tumoral cells using an over-expressed trans-membrane transport system. However, since its first reported use in 2006 [140], it has demonstrated lower sensitivity than 18F-FDG and is, therefore, not suitable as an alternative to 18F-FDG in the evaluation of HN cancer patients [141]. Also, 18F-FDG detects more primary tumors than 18F-FET, as well as more distant metastases and second primitive lesions than 18F-FET. On the other hand, 18F-FET has higher specificity, especially in lymph nodes, due to negligible uptake in inflammation sites [140,141,142].
A labeled modified thymidine-derived nucleoside, 3′-deoxy-3′-18F-fluorothymidine (18F-FLT), may be used as an in vivo marker of cell proliferation. The 18F-FLT uptake intensity within the lesion is associated with a worse prognosis and, therefore, may impact on patients’ treatment [124]. In agreement with this finding, HPV-negative patients exhibit higher SUVmax on 18F-FLT PET/CT and have worse prognosis [143]. Moreover, baseline 18F-FLT uptake and metabolic volume predict local and distant disease control after chemoradiotherapy [144] and are better predictors of overall survival than 18F-FDG [144] thanks to the negligible inflammatory uptake [145]. 18F-FLT PET/CT may also be used for monitoring the early response to radiotherapy in HN cancer, allowing dose escalation in sites of residual 18F-FLT uptake after the first treatment, with the achievement of complete tumor regression [24].
PET/CT imaging specifically designed for investigating HN neuroendocrine tumors includes somatostatin analogs against over-expressed somatostatin receptors (SSTR), like 68Ga-DOTATOC, 68Ga-DOTANOC, and 68Ga-DOTATATE, or norepinephrine precursors such as 18F-DOPA. Particularly, PET/CT with SSTR ligands exhibits higher accuracy in detecting HN paragangliomas and their metastases over morphological imaging, particularly very small lesions [25,146,147,148]. Loss of SSTR expression because of tissue de-differentiation explains most false-negative findings and is associated with a worse prognosis; these lesions are amenable to detection using 18F-FDG. The NCCN guidelines recommend PET/CT with SSTR ligands to exclude distant metastases in patients with HN paraganglioma, while EANM guidelines consider PET/CT with SSTR ligands as the first-choice functional imaging in sporadic and hereditary HN paragangliomas and, as the second choice, PET/CT using 18F-DOPA or 18F-FDG [149,150,151].

9. The Role of PET/MRI

PET/MRI scanners combine the high accuracy of MRI in the evaluation of the primary tumor (local extent, perfusion, and structural characteristics) with the high sensitivity of PET for distant metastases, nevertheless with lower radiation exposure (only from the PET component). In the evaluation of a primary tumor, 18F-FDG PET/MRI using gadolinium-enhanced T1-weighted sequence has a clear advantage over PET/CT in detecting the infiltration of neighboring structures and peri-neural spread [152,153,154,155,156], especially in pharyngeal and oral lesions, whereas MRI is less prone to artifacts from dental hardware than PET/CT [157,158]. Moreover, gadolinium contrast-enhanced PET/MRI has been demonstrated to perform better than cePET/CT in early detection of peri-neural spread [157], which is a well-known negative prognostic factor for disease progression. PET/MRI also has the ability to better distinguish tumor uptake from sites of physiological accumulation compared to PET/CT, due to a clearer definition of anatomic structures [159,160], especially when PET and MRI are acquired simultaneously (fewer misregistration artifacts) [161].
The diagnostic advantage of PET/MRI over PET/CT or MRI alone in the nodal staging of patients with nasopharyngeal and hypopharyngeal cancer is not fully established [162,163,164], despite fewer false-positive findings in assessing N2–3 status being reported using PET/MRI over the standard diagnostic work-up [165]. In some papers, including mixed HN cancer histology, PET/MRI results are as accurate as cePET/CT in N-staging [166,167,168,169,170,171] and can be considered a valid tool in patients with allergy, renal failure, or other contraindications to iodinated contrast medium [157]. PET/MRI performs well in detecting distant metastases (mostly in the lungs), possible second primary tumors, or an otherwise occult primary lesion in the head and neck. Particularly, the very high NPV of PET in lung nodules overcomes the well-known limitations of MRI in studying lung parenchyma, therefore excluding lung metastases with high reliability. In addition, new MRI sequences designed for studying pulmonary parenchyma may detect nodules even smaller than 4 mm [172,173,174]. 18F-FDG PET/MRI is more sensitive and specific than PET/CT in patients with cervical unknown primary [175,176]. In this setting, there is interest in applying PET/MRI for the delineation of the radiotherapy field by using PET-derived (e.g., SUVmax % threshold or SUVmax absolute value) and MRI-derived (GTV from contrast-enhanced T1 and T2 sequences, or from T1-weighted VIBE or Dixon sequences) volumes, with better soft-tissue contrast and lower radiation exposure [177,178]. However, despite technological advances, PET/MRI still overestimates, or sometimes partially misses, pathological GTV, especially in patients with smaller lesions [179]. PET/MRI is useful for the detection of tumor persistence or recurrence after treatment thanks to the high soft-tissue contrast of MRI, which discriminates pathological tissue from post-treatment alterations, and the high NPV of PET. Moreover, PET/MRI exhibits a significantly higher diagnostic accuracy than MRI alone in detecting the recurrence of low-FDG uptake malignancies, such as adenoid cystic carcinoma, especially in detecting peri-neural spread and metastases in small lymph nodes which were deemed reactive on an MRI [180].
Although “functional” MRI techniques (diffusion weighted, dynamic contrast enhanced, or spectroscopy) may provide additional information for tissue characterization, response prediction, and outcome, the real usefulness in the clinical practice is questionable, since PET already provides much of this information [181,182]; moreover, spectroscopy is time-consuming and needs a specialized team [183]. The main drawback of widely using PET/MRI in clinical practice is the need for an alternative technique for PET photon attenuation correction (MRI is not a measure of tissue density unlike CT). Therefore, an attenuation map should be obtained from MRI sequences (as T1-weighted DIXON) to segment the patient’s tissues into air, lungs, soft tissue, and fat. Then, an anatomic atlas is applied to add bone segmentation. Moreover, an MRI is time-consuming, and at least attenuation-correction MRI sequences should be acquired simultaneously with PET images to avoid exceedingly long-lasting examinations. Additional diagnostic MRI sequences of the head and neck should be performed at the end of PET acquisition, therefore taking more time away, and it is difficult to apply them systematically when facing a busy patient list. In addition, performing PET/MRI is more expensive than PET/CT, and a two-hand reporting (nuclear medicine physician and radiologist) is needed for all patients undergoing PET/MRI [165].

10. Application of Radiomics and Machine Learning

Although semi-quantitative parameters consider the volumetric extent of active areas, like MTV or TLG, and adequately mirror the tumor heterogeneity, which is a well-known negative prognostic factor in HN cancer, their effectiveness and reproducibility for predicting a clinical outcome may be hampered by the need for an “a priori” established SUV threshold for lesion contour [184]. Radiomics is an advanced “data mining” technique able to extract information from high-resolution images by measuring the transitions of intensity between adjacent voxel values and their mutual relationships not visible to the naked eye. By this, radiomics detect a subtle heterogeneity in uptake distribution across the lesion, exploring non-invasively its complex structure and biological characteristics in detail [185]. Moreover, the ever-increasing computational performances achieved in recent years have led to the development of informatic systems able to imitate human intelligence, so that they may learn from provided data, build up artificial neural networks, and perform their tasks without further man-initiated instructions. This is how machine-learning models work, and, when applied to radiomics, they can analyze quickly the usually high number of extracted features and find possible relationships among them or specific patterns for prognosis prediction [36,186,187].
Recent studies and meta-analyses have demonstrated a reasonable performance for outcome models obtained from radiomics analysis in HNC [19], confirming that more homogeneous tumors have a better prognosis [188,189,190,191] and that the combination of radiomics and clinical information excellently predicts PFS and OS [192]. Moreover, in patients with ongoing radiotherapy, baseline to post-treatment differences in PET/CT radiomics may predict PFS and OS, irrespective of clinical parameters and T and N stage [193]. Radiomics analysis also performs better than clinicopathological factors in predicting cervical lymph node metastases [194]. Several studies have explored the ability of 18F-FDG PET/CT radiomics-based machine-learning analysis for predicting treatment outcomes in HN cancer [190,195,196,197,198,199,200,201,202], reporting a good performance of the radiomic features (alone or combined with genomic data and T and N stage) in predicting loco-regional progression, PFS, 3-year OS, or recurrence-free survival [196,203,204], with higher accuracy than SUV and TLG in distinguishing local recurrence from post-treatment inflammation and predicting local failure [196,205,206]. Deep learning applied to PET/CT in HN cancer has demonstrated high diagnostic accuracy, sensitivity, and PPV in differentiating treatment control and failure, better reflecting the disease-free survival rate than T stage, clinical stage, SUVmax, SUVmean, MTV, and TLG [37,207]. In addition, in the view of delivering more dose to the radio-resistant part of the tumor (“dose painting”), the feasibility of applying radiomics analysis to 18F-FDG PET/CT scans at baseline and during/after chemo-radiation in HN cancer patients has been explored, finding it is clinically suitable to distinguish radio-resistant and radio-sensitive volumes within the same lesion [208]. The main limitations to the widespread application of radiomics and machine learning in evaluating patients with HN cancer rely on the lack of standardized acquisition and reconstruction parameters, which may vary when using different scanners and, therefore, potentially reducing their clinical reliability and lowering intra- and inter-institutional reproducibility [209]. Moreover, the use of non-standardized segmentation techniques for the lesions and organs at risk may interfere with the subsequent features extraction and the selection phase (this is of particular relevance in patients amenable to radiotherapy) [210]. Finally, specific training for the clinical personnel is required to ensure adequate management and interpretation of the results [211].

11. Conclusions

18F-FDG PET/CT is the standard of care for patients with advanced stage head–neck squamous cell carcinoma, having a significant impact on patient management and outcome. Current international evidence-based guidelines support its use in various clinical settings of this tumor, ranging from initial staging and radiotherapy planning to treatment-response assessment and detection of recurrence, due to its higher sensitivity over clinical examination and conventional morphologic imaging. The use of standardized methods for reporting therapy response and the excellent negative predictive value of post-therapy 18F-FDG PET/CT further contribute to the significant impact of this imaging modality on clinical practice. A wider diffusion of PET/MRI and the technological innovations by LAFOV PET/CT systems, as well as the use of PET radiopharmaceuticals other than 18F-FDG and the implementation of radiomics and machine learning, will answer specific clinical needs, further improving patient management and outcome.

Author Contributions

Conceptualization, V.R. and L.L.; methodology, V.R. and L.L.; writing—original draft preparation, V.R., L.L., C.C., M.D.R., M.M., F.M., F.B. and J.G.; writing—review and editing, V.R., L.L., C.C., M.D.R., M.M., F.M., F.B. and J.G.; visualization, V.R. and L.L.; supervision, V.R. and L.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Machiels, J.P.; René Leemans, C.; Golusinski, W.; Grau, C.; Licitra, L.; Gregoire, V.; on behalf of the EHNS Executive Board, ESMO Guidelines Committee and ESTRO Executive Board. Squamous cell carcinoma of the oral cavity, larynx, oropharynx and hypopharynx: EHNS-ESMO-ESTRO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann. Oncol. 2020, 31, 1462–1475. [Google Scholar] [CrossRef]
  2. National Comprehensive Cancer Network. NCCN Clinical Practice Guidelines in Oncology: Head and Neck Cancers (Version 3.2024). Available online: https://www.nccn.org/professionals/physician_gls/pdf/head-and-neck.pdf (accessed on 25 March 2024).
  3. Arboleda, L.P.A.; de Carvalho, G.B.; Santos-Silva, A.R.; Fernandes, G.A.; Vartanian, J.G.; Conway, D.I.; Virani, S.; Brennan, P.; Kowalski, L.P.; Curado, M.P. Squamous Cell Carcinoma of the Oral Cavity, Oropharynx, and Larynx: A Scoping Review of Treatment Guidelines Worldwide. Cancers 2023, 15, 4405. [Google Scholar] [CrossRef] [PubMed]
  4. Eyassu, E.; Young, M. Nuclear Medicine PET/CT Head and Neck Cancer Assessment, Protocols, and Interpretation. In StatPearls [Internet]; StatPearls Publishing: Treasure Island, FL, USA, 2024. [Google Scholar]
  5. Richter, S.; Qiu, B.; Ghering, M.; Kunath, C.; Constantinescu, G.; Luths, C.; Pamporaki, C.; Bechmann, N.; Meuter, L.; Kwapiszewska, A.; et al. Head/neck paragangliomas: Focus on tumor location, mutational status and plasma methoxytyramine. Endocr. Relat. Cancer 2022, 29, 213–224. [Google Scholar] [CrossRef] [PubMed]
  6. Fleischman, G.M.; Thorp, B.D.; Difurio, M.; Hackman, T.G. Accuracy of Ultrasonography-Guided Fine-Needle Aspiration in Detecting Persistent Nodal Disease After Chemoradiotherapy. JAMA Otolaryngol. Head Neck Surg. 2016, 142, 377–382. [Google Scholar] [CrossRef]
  7. Kouketsu, A.; Miyashita, H.; Kojima, I.; Sakamoto, M.; Murata, T.; Mori, S.; Nogami, S.; Yamauchi, K.; Nagai, H.; Kumamoto, H.; et al. Comparison of different diagnostic imaging techniques for the detection of bone invasion in oral cancers. Oral Oncol. 2021, 120, 105453. [Google Scholar] [CrossRef]
  8. Tantiwongkosi, B.; Yu, F.; Kanard, A.; Miller, F.R. Role of 18F-FDG PET/CT in pre and post treatment evaluation in head and neck carcinoma. World J. Radiol. 2014, 6, 177–191. [Google Scholar] [CrossRef]
  9. Liao, L.J.; Lo, W.C.; Hsu, W.L.; Wang, C.T.; Lai, M.S. Detection of cervical lymph node metastasis in head and neck cancer patients with clinically N0 neck-a meta-analysis comparing different imaging modalities. BMC Cancer 2012, 12, 236. [Google Scholar] [CrossRef]
  10. Castaldi, P.; Leccisotti, L.; Bussu, F.; Miccichè, F.; Rufini, V. Role of 18F-FDG PET-CT in head and neck squamous cell carcinoma. Acta Otorhinolaryngol. Ital. 2013, 33, 1–8. [Google Scholar]
  11. Sanli, Y.; Zukotynski, K.; Mittra, E.; Chen, D.L.; Nadel, H.; Niederkohr, R.D.; Subramaniam, R.M. Update 2018: 18F-FDG PET/CT and PET/MRI in Head and Neck Cancer. Clin. Nucl. Med. 2018, 43, e439–e452. [Google Scholar] [CrossRef] [PubMed]
  12. Wong, W.L. PET-CT for Staging and Detection of Recurrence of Head and Neck Cancer. Semin. Nucl. Med. 2021, 51, 13–25. [Google Scholar] [CrossRef]
  13. Subramaniam, R.M. Quarter Century Positron Emission Tomography/Computed Tomography Transformation of Oncology: Head and Neck Cancer. PET Clin. 2024, 19, 125–129. [Google Scholar] [CrossRef] [PubMed]
  14. Mehanna, H.; Wong, W.L.; McConkey, C.C.; Rahman, J.K.; Robinson, M.; Hartley, A.G.; Nutting, C.; Powell, N.; Al-Booz, H.; Robinson, M.; et al. PET-NECK Trial Management Group. PET-CT Surveillance versus Neck Dissection in Advanced Head and Neck Cancer. N. Engl. J. Med. 2016, 374, 1444–1454. [Google Scholar] [CrossRef] [PubMed]
  15. Creff, G.; Devillers, A.; Depeursinge, A.; Palard-Novello, X.; Acosta, O.; Jegoux, F.; Castelli, J. Evaluation of the Prognostic Value of FDG PET/CT Parameters for Patients with Surgically Treated Head and Neck Cancer: A Systematic Review. JAMA Otolaryngol. Head Neck Surg. 2020, 146, 471–479. [Google Scholar] [CrossRef] [PubMed]
  16. Maghami, E.; Ismaila, N.; Alvarez, A.; Chernock, R.; Duvvuri, U.; Geiger, J.; Gross, N.; Haughey, B.; Paul, D.; Rodriguez, C.; et al. Diagnosis and Management of Squamous Cell Carcinoma of Unknown Primary in the Head and Neck: ASCO Guideline. J. Clin. Oncol. 2020, 38, 2570–2596. [Google Scholar] [CrossRef] [PubMed]
  17. Huasong, H.; Shurui, S.; Shi, G.; Bin, J. Performance of 18F-FDG-PET/CT as a next step in the search of occult primary tumors for patients with head and neck squamous cell carcinoma of unknown primary: A systematic review and meta-analysis. Clin. Transl. Imaging 2021, 9, 361–371. [Google Scholar] [CrossRef]
  18. Helsen, N.; Van den Wyngaert, T.; Carp, L.; Stroobants, S. FDG-PET/CT for treatment response assessment in head and neck squamous cell carcinoma: A systematic review and meta-analysis of diagnostic performance. Eur. J. Nucl. Med. Mol. Imaging 2018, 45, 1063–1071. [Google Scholar] [CrossRef] [PubMed]
  19. Marcus, C.; Subramaniam, R.M. Role of Non-FDG-PET/CT in Head and Neck Cancer. Semin. Nucl. Med. 2021, 51, 68–78. [Google Scholar] [CrossRef] [PubMed]
  20. Welz, S.; Paulsen, F.; Pfannenberg, C.; Reimold, M.; Reischl, G.; Nikolaou, K.; La Fougère, C.; Alber, M.; Belka, C.; Zips, D.; et al. Dose escalation to hypoxic subvolumes in head and neck cancer: A randomized phase II study using dynamic [18F]FMISO PET/CT. Radiother. Oncol. 2022, 171, 30–36. [Google Scholar] [CrossRef] [PubMed]
  21. Promteangtrong, C.; Siripongsatian, D.; Jantarato, A.; Kunawudhi, A.; Kiatkittikul, P.; Yaset, S.; Boonkawin, N.; Chotipanich, C. Head-to-Head Comparison of 68Ga-FAPI-46 and 18F-FDG PET/CT for Evaluation of Head and Neck Squamous Cell Carcinoma: A Single-Center Exploratory Study. J. Nucl. Med. 2022, 63, 1155–1161. [Google Scholar] [CrossRef]
  22. Lindholm, P.; Leskinen-Kallio, S.; Grénman, R.; Lehikoinen, P.; Någren, K.; Teräs, M.; Ruotsalainen, U.; Joensuu, H. Evaluation of response to radiotherapy in head and neck cancer by positron emission tomography and [11C]methionine. Int. J. Radiat. Oncol. Biol. Phys. 1995, 32, 787–794. [Google Scholar] [CrossRef]
  23. Wedman, J.; Pruim, J.; van der Putten, L.; Hoekstra, O.S.; de Bree, R.; van Dijk, B.A.C.; van der Laan, B.F.A.M. Is C-11 Methionine PET an alternative to 18-F FDG-PET for identifying recurrent laryngeal cancer after radiotherapy? Clin. Otolaryngol. 2019, 44, 124–130. [Google Scholar] [CrossRef] [PubMed]
  24. Baxa, J.; Ferda, J.; Ferdova, E.; Vojtisek, R.; Topolcan, O.; Finek, J. Hybrid Imaging PET/CT with Application of 18F-Fluorothymidine in Patients with Head and Neck Carcinoma Undergoing Radiotherapy. Anticancer Res. 2018, 38, 4153–4157. [Google Scholar] [CrossRef] [PubMed]
  25. Janssen, I.; Chen, C.C.; Taieb, D.; Patronas, N.J.; Millo, C.M.; Adams, K.T.; Nambuba, J.; Herscovitch, P.; Sadowski, S.M.; Fojo, A.T.; et al. 68Ga-DOTATATE PET/CT in the localization of head and neck paragangliomas compared with other functional imaging modalities and CT/MRI. J. Nucl. Med. 2016, 57, 186–191. [Google Scholar] [CrossRef] [PubMed]
  26. Surti, S.; Viswanath, V.; Daube-Witherspoom, M.E.; Conti, M.; Casey, M.E.; Karp, J.S. Benefit of improved performance with state-of-the art digital PET/CT for lesion detection in oncology. J. Nucl. Med. 2020, 61, 1684–1690. [Google Scholar] [CrossRef]
  27. Surti, S.; Karp, J.S. Update on latest advances in time-of-flight PET. Phys. Med. 2020, 80, 251–258. [Google Scholar] [CrossRef]
  28. Van den Wyngaert, T.; De Schepper, S.; Carp, L. Quality Assessment in FDG-PET/CT Imaging of Head-and-Neck Cancer: One Home Run Is Better Than Two Doubles. Front. Oncol. 2020, 10, 1458. [Google Scholar] [CrossRef]
  29. López-Mora, D.A.; Carrió, I.; Flotats, A. Digital PET vs Analog PET: Clinical Implications? Semin. Nucl. Med. 2022, 52, 302–311. [Google Scholar] [CrossRef] [PubMed]
  30. Cherry, S.R.; Jones, T.; Karp, J.S.; Qi, J.; Moses, W.W.; Badawi, R.D. Total-body PET: Maximizing sensitivity to create new opportunities for clinical research and patient care. J. Nucl. Med. 2018, 59, 3–12. [Google Scholar] [CrossRef]
  31. Badawi, R.D.; Shi, H.; Hu, P.; Chen, S.; Xu, T.; Price, P.M.; Ding, Y.; Spencer, B.A.; Nardo, L.; Liu, W.; et al. First human imaging studies with the EXPLORER total-body PET scanner. J. Nucl. Med. 2019, 60, 299–303. [Google Scholar] [CrossRef]
  32. Slart, R.H.J.A.; Tsoumpas, C.; Glaudemans, A.W.J.M.; Noordzij, W.; Willemsen, A.T.M.; Borra, R.J.H.; Dierckx, R.A.J.O.; Lammertsma, A.A. Long axial field of view PET scanners: A road map to implementation and new possibilities. Eur. J. Nucl. Med. Mol. Imaging 2021, 48, 4236–4245. [Google Scholar] [CrossRef]
  33. Roya, M.; Mostafapour, S.; Mohr, P.; Providência, L.; Li, Z.; van Snick, J.H.; Brouwers, A.H.; Noordzij, W.; Willemsen, A.T.M.; Dierckx, R.A.J.O.; et al. Current and Future Use of Long Axial Field-of-View Positron Emission Tomography/Computed Tomography Scanners in Clinical Oncology. Cancers 2023, 15, 5173. [Google Scholar] [CrossRef]
  34. Mei, R.; Pyka, T.; Sari, H.; Fanti, S.; Afshar-Oromieh, A.; Giger, R.; Caobelli, F.; Rominger, A.; Alberts, I. The clinical acceptability of short versus long duration acquisitions for head and neck cancer using long-axial field-of-view PET/CT: A retrospective evaluation. Eur. J. Nucl. Med. Mol. Imaging 2024, 51, 1436–1443. [Google Scholar] [CrossRef] [PubMed]
  35. Mukherjee, S.; Fischbein, N.J.; Baugnon, K.L.; Policeni, B.A.; Raghavan, P. Contemporary Imaging and Reporting Strategies for Head and Neck Cancer: MRI, FDG PET/MRI, NI-RADS, and Carcinoma of Unknown Primary-AJR Expert Panel Narrative Review. AJR Am. J. Roentgenol. 2023, 220, 160–172. [Google Scholar] [CrossRef] [PubMed]
  36. Philip, M.M.; Welch, A.; McKiddie, F.; Nath, M. A systematic review and meta-analysis of predictive and prognostic models for outcome prediction using positron emission tomography radiomics in head and neck squamous cell carcinoma patients. Cancer Med. 2023, 12, 16181–16194. [Google Scholar] [CrossRef] [PubMed]
  37. Illimoottil, M.; Ginat, D. Recent Advances in Deep Learning and Medical Imaging for Head and Neck Cancer Treatment: MRI, CT, and PET Scans. Cancers 2023, 15, 3267. [Google Scholar] [CrossRef] [PubMed]
  38. Boellaard, R.; Delgado-Bolton, R.; Oyen, W.J.; Giammarile, F.; Tatsch, K.; Eschner, W.; Verzijlbergen, F.J.; Barrington, S.F.; Pike, L.C.; Weber, W.A.; et al. European Association of Nuclear Medicine (EANM). FDG PET/CT: EANM procedure guidelines for tumour imaging: Version 2.0. Eur. J. Nucl. Med. Mol. Imaging 2015, 42, 328–354. [Google Scholar] [CrossRef] [PubMed]
  39. Yoshida, K.; Suzuki, A.; Nagashima, T.; Lee, J.; Horiuchi, C.; Tsukuda, M.; Inoue, T. Staging primary head and neck cancers with 18F-FDG PET/CT: Is intravenous contrast administration really necessary? Eur. J. Nucl. Med. Mol. Imaging 2009, 36, 1417–1424. [Google Scholar] [CrossRef]
  40. Morbelli, S.; Conzi, R.; Campus, C.; Cittadini, G.; Bossert, I.; Massollo, M.; Fornarini, G.; Calamia, I.; Marini, C.; Fiz, F.; et al. Contrast-enhanced [18 F] fluorodeoxyglucose-positron emission tomography/computed tomography in clinical oncology: Tumor-, site-, and question-based comparison with standard positron emission tomography/computed tomography. Cancer Imaging 2014, 14, 10. [Google Scholar] [CrossRef] [PubMed]
  41. Beyer, T.; Antoch, G.; Müller, S.; Egelhof, T.; Freudenberg, L.S.; Debatin, J.; Bockisch, A. Acquisition protocol considerations for combined PET/CT imaging. J. Nucl. Med. 2004, 45 (Suppl. 1), 25S–35S. [Google Scholar]
  42. Yamamoto, Y.; Wong, T.Z.; Turkington, T.G.; Hawk, T.C.; Coleman, R.E. Head and neck cancer: Dedicated FDG PET/CT protocol for detection-phantom and initial clinical studies. Radiology 2007, 244, 263–272. [Google Scholar] [CrossRef]
  43. Guzmán Pérez-Carrillo, G.J.; Ivanidze, J. PET/CT and PET/MR Imaging of the Post-treatment Head and Neck: Traps and Tips. Neuroimaging Clin. N. Am. 2022, 32, 111–132. [Google Scholar] [CrossRef] [PubMed]
  44. Mihailovic, J.; Killeen, R.P.; Duignan, J.A. PET/CT Variants and Pitfalls in Head and Neck Cancers Including Thyroid Cancer. Semin. Nucl. Med. 2021, 51, 419–440. [Google Scholar] [CrossRef] [PubMed]
  45. Rassekh, C.H.; Cost, J.L.; Hogg, J.P.; Hurst, M.K.; Marano, G.D.; Ducatman, B.S. Positron emission tomography in Warthin’s tumor mimicking malignancy impacts the evaluation of head and neck patients. Am. J. Otolaryngol. 2015, 36, 259–263. [Google Scholar] [CrossRef]
  46. Lee, H.; Lazor, J.W.; Assadsangabi, R.; Shah, J. An Imager’s Guide to Perineural Tumor Spread in Head and Neck Cancers: Radiologic Footprints on 18F-FDG PET, with CT and MRI Correlates. J. Nucl. Med. 2019, 60, 304–311. [Google Scholar] [CrossRef] [PubMed]
  47. Goel, R.; Moore, W.; Sumer, B.; Khan, S.; Sher, D.; Subramaniam, R.M. Clinical Practice in PET/CT for the Management of Head and Neck Squamous Cell Cancer. AJR Am. J. Roentgenol. 2017, 209, 289–303. [Google Scholar] [CrossRef] [PubMed]
  48. Suenaga, Y.; Kitajima, K.; Ishihara, T.; Sasaki, R.; Otsuki, N.; Nibu, K.; Minamikawa, T.; Kiyota, N.; Sugimura, K. FDG-PET/contrast-enhanced CT as a post-treatment tool in head and neck squamous cell carcinoma: Comparison with FDG-PET/non-contrast-enhanced CT and contrast-enhanced CT. Eur. Radiol. 2016, 26, 1018–1030. [Google Scholar] [CrossRef]
  49. Barai, S.; Ora, M.; Gambhir, S.; Singh, A. Does Intravenous Contrast Improve the Diagnostic Yield of Fluorodeoxyglucose Positron-emission Tomography/Computed Tomography in Patients with Head-and-neck Malignancy. Indian J. Nucl. Med. 2020, 35, 13–16. [Google Scholar] [CrossRef]
  50. Johansen, J.; Buus, S.; Loft, A.; Keiding, S.; Overgaard, M.; Hansen, H.S.; Grau, C.; Bundgaard, T.; Kirkegaard, J.; Overgaard, J. Prospective study of 18FDG-PET in the detection and management of patients with lymph node metastases to the neck from an unknown primary tumor. Results from the DAHANCA-13 study. Head Neck 2008, 30, 471–478. [Google Scholar] [CrossRef] [PubMed]
  51. Han, A.; Xue, J.; Hu, M.; Zheng, J.; Wang, X. Clinical value of 18F-FDG PET-CT in detecting primary tumor for patients with carcinoma of unknown primary. Cancer Epidemiol. 2012, 3, 470–475. [Google Scholar] [CrossRef]
  52. Barbosa, M.; Duarte, H.; Breda, E.; Monteiro, E. PET/CT in the management of metastatic cervical lymphadenopathy from unknown primary site: A seven years retrospective study. Rev. Laryngol. Otol. Rhinol. 2013, 134, 89–94. [Google Scholar]
  53. Deonarine, P.; Han, S.; Poon, F.W.; de Wet, C. The role of 18F-fluoro-2-deoxyglucose positron emission tomography/computed tomography in the management of patients with carcinoma of unknown primary. Scott. Med. J. 2013, 5, 154–162. [Google Scholar] [CrossRef] [PubMed]
  54. Bhattacharya, K.; Mahajan, A.; Vaish, R.; Rane, S.; Shukla, S.; D’Cruz, A.K. Imaging of Neck Nodes in Head and Neck Cancers—A Comprehensive Update. Clin. Oncol. 2023, 35, 429–445. [Google Scholar] [CrossRef]
  55. Gourin, C.G.; Conger, B.T.; Porubsky, E.S.; Sheils, W.C.; Bilodeau, P.A.; Coleman, T.A. The effect of occult nodal metastases on survival and regional control in patients with head and neck squamous cell carcinoma. Laryngoscope 2008, 118, e1191–e1194. [Google Scholar] [CrossRef]
  56. Strohl, M.P.; Ha, P.K.; Flavell, R.R.; Yom, S.S. PET/CT in Surgical Planning for Head and Neck Cancer. Semin. Nucl. Med. 2021, 51, 50–58. [Google Scholar] [CrossRef]
  57. Murer, K.; Huber, G.F.; Haile, S.R.; Stoeckli, S.J. Comparison of morbidity between sentinel node biopsy and elective neck dissection for treatment of the N0 neck in patients with oral squamous cell carcinoma. Head Neck 2011, 33, 1260–1264. [Google Scholar] [CrossRef]
  58. Vaish, R.; Mittal, N.; Mahajan, A.; Rane, S.U.; Agrawal, A.; D’Cruz, A.K. Sentinel node biopsy in node negative early oral cancers: Solution to the conundrum! Oral Oncol. 2022, 134, 106070. [Google Scholar] [CrossRef] [PubMed]
  59. Stoeckli, S.J.; Pfaltz, M.; Ross, G.L.; Steinert, H.C.; MacDonald, D.G.; Wittekind, C.; Soutar, D.S. The second international conference on sentinel node biopsy in mucosal head and neck cancer. Ann. Surg. Oncol. 2005, 12, 919–924. [Google Scholar] [CrossRef]
  60. Mallo Magariños, M.; Suárez Ajuria, M.; Marichalar Mendía, X.; Álvarez-Calderón Iglesias, Ó.; Chamorro Petronacci, C.M.; García García, A.; Pérez Sayáns, M. Diagnostic yield of sentinel lymph node biopsy in oral squamous cell carcinoma T1/T2-N0: Systematic review and meta-analysis. Int. J. Oral Maxillofac. Surg. 2021, 50, 1271–1279. [Google Scholar] [CrossRef] [PubMed]
  61. Garrel, R.; Poissonnet, G.; Moyà Plana, A.; Fakhry, N.; Dolivet, G.; Lallemant, B.; Sarini, J.; Vergez, S.; Guelfucci, B.; Choussy, O.; et al. Equivalence Randomized Trial to Compare Treatment on the Basis of Sentinel Node Biopsy Versus Neck Node Dissection in Operable T1-T2N0. Oral and Oropharyngeal Cancer. J. Clin. Oncol. 2020, 38, 4010–4018. [Google Scholar] [CrossRef]
  62. Hasegawa, Y.; Tsukahara, K.; Yoshimoto, S.; Miura, K.; Yokoyama, J.; Hirano, S.; Uemura, H.; Sugasawa, M.; Yoshizaki, T.; Homma, A.; et al. HNCMM Research Group. Neck Dissections Based on Sentinel Lymph Node Navigation Versus Elective Neck Dissections in Early Oral Cancers: A Randomized, Multicenter, and Noninferiority Trial. J. Clin. Oncol. 2021, 39, 2025–2036. [Google Scholar] [CrossRef]
  63. Kyzas, P.A.; Evangelou, E.; Denaxa-Kyza, D.; Ioannidis, J.P. 18F-Fluorodeoxyglucose positron emission tomography to evaluate cervical node metastases in patients with head and neck squamous cell carcinoma: A meta-analysis. J. Natl. Cancer Inst. 2008, 100, 712–720. [Google Scholar] [CrossRef] [PubMed]
  64. Park, J.T.; Roh, J.L.; Kim, J.S.; Lee, J.H.; Cho, K.J.; Choi, S.H.; Nam, S.Y.; Kim, S.Y. 18F FDG PET/CT versus CT/MR Imaging and the Prognostic Value of Contralateral Neck Metastases in Patients with Head and Neck Squamous Cell Carcinoma. Radiology 2016, 279, 481–491. [Google Scholar] [CrossRef] [PubMed]
  65. Tauzin, M.; Rabalais, A.; Hagan, J.L.; Wood, C.G.; Ferris, R.L.; Walvekar, R.R. PET-CT staging of the neck in cancers of the oropharynx: Patterns of regional and retropharyngeal nodal metastasis. Laryngoscope 2010, 120 (Suppl. 4), S186. [Google Scholar] [CrossRef] [PubMed]
  66. Bussu, F.; Tagliaferri, L.; Crescio, C.; Rizzo, D.; Gallus, R.; Parrilla, C.; Fionda, B.; Lancellotta, V.; Mattiucci, G.C.; Galli, J. New standards for the management of nose vestibule malignancies. Acta Otolaryngol. 2023, 143, 215–222. [Google Scholar] [CrossRef] [PubMed]
  67. Bussu, F.; Tagliaferri, L.; Corbisiero, M.F.; Lotto, C.; Pellini, R.; Guarino, P.; Mercante, G.; Galuppi, A.; Cariti, F.; Almadori, G.; et al. Management of nasal vestibule carcinomas: Recommendations by the Oncological Committee of the Italian Society of Otorhinolaryngology—Head and Neck Surgery. Acta Otorhinolaryngol. Ital. 2024, 44, 13–20. [Google Scholar] [CrossRef] [PubMed]
  68. Haerle, S.K.; Strobel, K.; Ahmad, N.; Soltermann, A.; Schmid, D.T.; Stoeckli, S.J. Contrast-enhanced 18F-FDG-PET/CT for the assessment of necrotic lymph node metastases. Head Neck 2011, 33, 324–329. [Google Scholar] [CrossRef] [PubMed]
  69. Roh, J.L.; Park, J.P.; Kim, J.S.; Lee, J.H.; Cho, K.J.; Choi, S.H.; Nam, S.Y.; Kim, S.Y. 18F fluorodeoxyglucose PET/CT in head and neck squamous cell carcinoma with negative neck palpation findings: A prospective study. Radiology 2014, 271, 153–161. [Google Scholar] [CrossRef] [PubMed]
  70. Lowe, V.J.; Duan, F.; Subramaniam, R.M.; Sicks, J.D.; Romanoff, J.; Bartel, T.; Yu, J.Q.M.; Nussenbaum, B.; Richmon, J.; Arnold, C.D.; et al. Multicenter Trial of [18F]fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Staging of Head and Neck Cancer and Negative Predictive Value and Surgical Impact in the N0 Neck: Results From ACRIN 6685. J. Clin. Oncol. 2019, 37, 1704–1712. [Google Scholar] [CrossRef] [PubMed]
  71. Stack, B.C., Jr.; Duan, F.; Subramaniam, R.M.; Romanoff, J.; Sicks, J.D.; Bartel, T.; Chen, C.; Lowe, V.J. FDG-PET/CT and Pathology in Newly Diagnosed Head and Neck Cancer: ACRIN 6685 Trial, FDG-PET/CT cN0. Otolaryngol. Head Neck Surg. 2021, 164, 1230–1239. [Google Scholar] [CrossRef]
  72. Price, P.M.; Badawi, R.D.; Cherry, S.R.; Jones, T. Ultra staging to unmask the prescribing of adjuvant therapy in cancer patients: The future opportunity to image micrometastases using total-body 18F-FDG PET scanning. J. Nucl. Med. 2014, 55, 696–697. [Google Scholar] [CrossRef]
  73. Barrett, T.F.; Gill, C.M.; Miles, B.A.; Iloreta, A.M.C.; Bakst, R.L.; Fowkes, M.; Brastianos, P.K.; Bederson, J.B.; Shrivastava, R.K. Brain metastasis from squamous cell carcinoma of the head and neck: A review of the literature in the genomic era. Neurosurg. Focus 2018, 44, E11. [Google Scholar] [CrossRef] [PubMed]
  74. Wang, X.; Zeng, M.; Ju, X.; Lin, A.; Zhou, C.; Shen, J.; Liu, Z.; Tang, B.; Cheng, Q.; Wang, Y.; et al. Correlation between second and first primary cancer: Systematic review and meta-analysis of 9 million cancer patients. Br. J. Surg. 2024, 111, znad377. [Google Scholar] [CrossRef]
  75. Peck, B.W.; Dahlstrom, K.R.; Gan, S.J.; Caywood, W.; Li, G.; Wei, Q.; Zafereo, M.E.; Sturgis, E.M. Low risk of second primary malignancies among never smokers with human papillomavirus-associated index oropharyngeal cancers. Head Neck 2013, 35, 794–799. [Google Scholar] [CrossRef] [PubMed]
  76. Ishimori, T.; Patel, P.V.; Wahl, R.L. Detection of unexpected additional primary malignancies with PET/CT. J. Nucl. Med. 2005, 46, 752–757. [Google Scholar] [PubMed]
  77. Haerle, S.K.; Strobel, K.; Hany, T.F.; Sidler, D.; Stoeckli, S.J. 18F-FDG-PET/CT versus panendoscopy for the detection of synchronous second primary tumors in patients with head and neck squamous cell carcinoma. Head Neck 2010, 32, 319–325. [Google Scholar] [CrossRef]
  78. Balgobind, S.; Cheung, V.K.Y.; Luk, P.; Low, T.H.; Wykes, J.; Wu, R.; Lee, J.; Ch’ng, S.; Palme, C.E.; Clark, J.R.; et al. Prognostic and predictive biomarkers in head and neck cancer: Something old, something new, something borrowed, something blue and a sixpence in your shoe. Pathology 2024, 56, 170–185. [Google Scholar] [CrossRef] [PubMed]
  79. Kwee, T.C.; Basu, S.; Saboury, B.; Ambrosini, V.; Torigian, D.A.; Alavi, A. A new dimension of FDG-PET interpretation: Assessment of tumor biology. Eur. J. Nucl. Med. Mol. Imaging 2011, 38, 1158–1170. [Google Scholar] [CrossRef] [PubMed]
  80. Bussu, F.; Ragin, C.; Boscolo-Rizzo, P.; Rizzo, D.; Gallus, R.; Delogu, G.; Morbini, P.; Tommasino, M. HPV as a marker for molecular characterization in head and neck oncology: Looking for a standardization of clinical use and of detection method(s) in clinical practice. Head Neck 2019, 41, 1104–1111. [Google Scholar] [CrossRef]
  81. Bussu, F.; Sali, M.; Gallus, R.; Petrone, G.; Zannoni, G.F.; Autorino, R.; Dinapoli, N.; Santangelo, R.; Vellone, V.G.; Graziani, C.; et al. Human papillomavirus (HPV) infection in squamous cell carcinomas arising from the oropharynx: Detection of HPV DNA and p16 immunohistochemistry as diagnostic and prognostic indicators—A pilot study. Int. J. Radiat. Oncol. Biol. Phys. 2014, 89, 1115–1120. [Google Scholar] [CrossRef] [PubMed]
  82. Bussu, F.; Muresu, N.; Crescio, C.; Gallus, R.; Rizzo, D.; Cossu, A.; Sechi, I.; Fedeli, M.; Cossu, A.; Delogu, G.; et al. Low Prevalence of HPV Related Oropharyngeal Carcinogenesis in Northern Sardinia. Cancers 2022, 14, 4205. [Google Scholar] [CrossRef]
  83. Gallus, R.; Nauta, I.H.; Marklund, L.; Rizzo, D.; Crescio, C.; Mureddu, L.; Tropiano, P.; Delogu, G.; Bussu, F. Accuracy of p16 IHC in Classifying HPV-Driven OPSCC in Different Populations. Cancers 2023, 15, 656. [Google Scholar] [CrossRef]
  84. Thureau, S.; Briens, A.; Decazes, P.; Castelli, J.; Barateau, A.; Garcia, R.; Thariat, J.; de Crevoisier, R. PET and MRI guided adaptive radiotherapy: Rational, feasibility and benefit. Cancer Radiother. 2020, 24, 635–644. [Google Scholar] [CrossRef]
  85. van den Bosch, S.; Vogel, W.V.; Raaijmakers, C.P.; Dijkema, T.; Terhaard, C.H.J.; Al-Mamgani, A.; Kaanders, J.H.A.M. Implications of improved diagnostic imaging of small nodal metastases in head and neck cancer: Radiotherapy target volume transformation and dose de-escalation. Radiother. Oncol. 2018, 128, 472–478. [Google Scholar] [CrossRef]
  86. van den Bosch, S.; Dijkema, T.; Kunze-Busch, M.C.; Terhaard, C.H.; Raaijmakers, C.P.; Doornaert, P.A.; Hoebers, F.J.; Vergeer, M.R.; Kreike, B.; Wijers, O.B.; et al. Uniform FDG-PET guided GRAdient Dose prEscription to reduce late Radiation Toxicity (UPGRADE-RT): Study protocol for a randomized clinical trial with dose reduction to the elective neck in head and neck squamous cell carcinoma. BMC Cancer 2017, 17, 208. [Google Scholar] [CrossRef]
  87. Manca, G.; Vanzi, E.; Rubello, D.; Giammarile, F.; Grassetto, G.; Wong, K.K.; Perkins, A.C.; Colletti, P.M.; Volterrani, D. 18F-FDG PET/CT quantification in head and neck squamous cell cancer: Principles, technical issues and clinical applications. Eur. J. Nucl. Med. Mol. Imaging 2016, 43, 1360–1375. [Google Scholar] [CrossRef]
  88. Daisne, J.F.; Duprez, T.; Weynand, B.; Lonneux, M.; Hamoir, M.; Reychler, H.; Grégoire, V. Tumour volume in pharyngolaryngeal squamous cell carcinoma: Comparison at CT, MR imaging, and FDG PET and validation with surgical specimen. Radiology 2004, 233, 93–100. [Google Scholar] [CrossRef]
  89. Chatterjee, S.; Frew, J.; Mott, J.; McCallum, H.; Stevenson, P.; Maxwell, R.; Wilsdon, J.; Kelly, C. Variation in Radiotherapy Target Volume Definition, Dose to Organs at Risk and Clinical Target Volumes using Anatomic (Computed Tomography) versus Combined Anatomic and Molecular Imaging (Positron Emission Tomography/Computed Tomography): Intensity-modulated Radiotherapy Delivered using a Tomotherapy Hi Art Machine: Final Results of the VortigERN Study. Clin. Oncol. 2012, 24, e173–e179. [Google Scholar]
  90. Geets, X.; Tomsej, M.; Lee, J.A.; Duprez, T.; Coche, E.; Cosnard, G.; Lonneux, M.; Grégoire, V. Adaptive biological image-guided IMRT with anatomic and functional imaging in pharyngo-laryngeal tumors: Impact on target volume delineation and dose distribution using helical tomotherapy. Radiother. Oncol. 2007, 85, 105–115. [Google Scholar] [CrossRef]
  91. Guido, A.; Fuccio, L.; Rombi, B.; Castellucci, P.; Cecconi, A.; Bunkheila, F.; Fuccio, C.; Spezi, E.; Angelini, A.L.; Barbieri, E. Combined 18F-FDG-PET/CT Imaging in Radiotherapy Target Delineation for Head-and-Neck Cancer. Int. J. Radiat. Oncol. 2009, 73, 759–763. [Google Scholar] [CrossRef] [PubMed]
  92. Lapa, C.; Nestle, U.; Albert, N.L.; Baues, C.; Beer, A.; Buck, A.; Budach, V.; Bütof, R.; Combs, S.E.; Derlin, T.; et al. Arbeitsgemeinschaft Nuklearmedizin und Strahlentherapie der DEGRO und DGN. Value of PET imaging for radiation therapy. Strahlenther. Onkol. 2021, 197, 1–23, Erratum in: Strahlenther. Onkol. 2022, 198, 80–82. [Google Scholar] [CrossRef] [PubMed]
  93. Pignon, J.P.; le Maître, A.; Maillard, E.; Bourhis, J.; MACH-NC Collaborative Group. Meta-analysis of chemotherapy in head and neck cancer (MACH-NC): An update on 93 randomised trials and 17,346 patients. Radiother. Oncol. 2009, 92, 4–14. [Google Scholar] [CrossRef]
  94. Studer, G.; Luetolf, U.M.; Glanzmann, C. Locoregional failure analysis in head-and-neck cancer patients treated with IMRT. Strahlenther. Onkol. 2007, 183, 417–423, discussion 424–425. [Google Scholar] [CrossRef]
  95. Horiot, J.C.; Bontemps, P.; van den Bogaert, W.; Le Fur, R.; van den Weijngaert, D.; Bolla, M.; Bernier, J.; Lusinchi, A.; Stuschke, M.; Lopez-Torrecilla, J.; et al. Accelerated fractionation (AF) compared to conventional fractionation (CF) improves loco-regional control in the radiotherapy of advanced head and neck cancers: Results of the EORTC 22851 randomized trial. Radiother. Oncol. 1997, 44, 111–121. [Google Scholar] [CrossRef]
  96. Servagi-Vernat, S.; Differding, S.; Sterpin, E.; Hanin, F.X.; Labar, D.; Bol, A.; Lee, J.A.; Grégoire, V. Hypoxia-guided adaptive radiation dose escalation in head and neck carcinoma: A planning study. Acta Oncol. 2015, 54, 1008–1016. [Google Scholar] [CrossRef]
  97. Saksø, M.; Mortensen, L.S.; Primdahl, H.; Johansen, J.; Kallehauge, J.; Hansen, C.R.; Overgaard, J. Influence of FAZA PET hypoxia and HPV-status for the outcome of head and neck squamous cell carcinoma (HNSCC) treated with radiotherapy: Long-term results from the DAHANCA 24 trial (NCT01017224). Radiother. Oncol. 2020, 151, 126–133. [Google Scholar]
  98. Bouleftour, W.; Rowinski, E.; Louati, S.; Sotton, S.; Wozny, A.S.; Moreno-Acosta, P.; Mery, B.; Rodriguez-Lafrasse, C.; Magne, N.A. Review of the Role of Hypoxia in Radioresistance in Cancer Therapy. Med. Sci. Monit. 2021, 27, e934116. [Google Scholar] [CrossRef]
  99. Michaelidou, A.; Adjogatse, D.; Suh, Y.; Pike, L.; Thomas, C.; Woodley, O.; Rackely, T.; Palaniappan, N.; Jayaprakasam, V.; Sanchez-Nieto, B.; et al. 18F-FDG-PET in guided dose-painting with intensity modulated radiotherapy in oropharyngeal tumours: A phase I study (FiGaRO). Radiother. Oncol. 2021, 155, 261–268. [Google Scholar] [CrossRef]
  100. de Leeuw, A.L.M.P.; Giralt, J.; Tao, Y.; Benavente, S.; France Nguyen, T.V.; Hoebers, F.J.P.; Hoeben, A.; Terhaard, C.H.J.; Wai Lee, L.; Friesland, S.; et al. A multicentric randomized controlled phase III trial of adaptive and 18F-FDG-PET-guided dose-redistribution in locally advanced head and neck squamous cell carcinoma (ARTFORCE). Radiother. Oncol. 2024, 196, 110281. [Google Scholar] [CrossRef]
  101. Dolezel, M.; Slavik, M.; Blazek, T.; Kazda, T.; Koranda, P.; Veverkova, L.; Burkon, P.; Cvek, J. FMISO-Based Adaptive Radiotherapy in Head and Neck Cancer. J. Pers. Med. 2022, 12, 1245. [Google Scholar] [CrossRef]
  102. Flaus, A.; Nevesny, S.; Guy, J.B.; Sotton, S.; Magné, N.; Prévot, N. Positron emission tomography for radiotherapy planning in head and neck cancer: What impact? Nucl. Med. Commun. 2021, 42, 234–243. [Google Scholar] [CrossRef]
  103. Trada, Y.; Keall, P.; Jameson, M.; Moses, D.; Lin, P.; Chlap, P.; Holloway, L.; Min, M.; Forstner, D.; Fowler, A.; et al. Changes in serial multiparametric MRI and FDG-PET/CT functional imaging during radiation therapy can predict treatment response in patients with head and neck cancer. Eur. Radiol. 2023, 33, 8788–8799. [Google Scholar] [CrossRef]
  104. De Bruycker, A.; De Neve, W.; Daisne, J.F.; Vercauteren, T.; De Gersem, W.; Olteanu, L.; Berwouts, D.; Deheneffe, S.; Madani, I.; Goethals, I.; et al. Disease control and late toxicity in Adaptive Dose Painting by Numbers vs. non-adaptive radiotherapy for head and neck cancer: A randomized controlled phase II trial. Int. J. Radiat. Oncol. Biol. Phys. 2024. [Google Scholar] [CrossRef]
  105. Heineman, T.E.; Kuan, E.C.; St John, M.A. When should surveillance imaging be performed after treatment for head and neck cancer? Laryngoscope 2017, 127, 533–534. [Google Scholar] [CrossRef]
  106. Helsen, N.; Van den Wyngaert, T.; Carp, L.; De Bree, R.; VanderVeken, O.M.; De Geeter, F.; Maes, A.; Cambier, J.P.; Spaepen, K.; Martens, M.; et al. Quantification of 18F-fluorodeoxyglucose uptake to detect residual nodal disease in locally advanced head and neck squamous cell carcinoma after chemoradiotherapy: Results from the ECLYPS study. Eur. J. Nucl. Med. Mol. Imaging 2020, 47, 1075–1082. [Google Scholar] [CrossRef]
  107. Cheung, P.K.; Chin, R.Y.; Eslick, G.D. Detecting Residual/Recurrent Head Neck Squamous Cell Carcinomas Using PET or PET/CT: Systematic Review and Meta-analysis. Otolaryngol. Head Neck Surg. 2016, 154, 421–432. [Google Scholar] [CrossRef]
  108. Bar-Ad, V.; Mishra, M.; Ohri, N.; Intenzo, C. Positron emission tomography for neck evaluation following definitive treatment with chemoradiotherapy for locoregionally advanced head and neck squamous cell carcinoma. Rev. Recent Clin. Trials 2012, 7, 36–41. [Google Scholar] [CrossRef]
  109. Castaldi, P.; Rufini, V.; Bussu, F.; Miccichè, F.; Dinapoli, N.; Autorino, R.; Lago, M.; De Corso, E.; Almadori, G.; Galli, J.; et al. Can “early” and “late” 18F-FDG PET-CT be used as prognostic factors for the clinical outcome of patients with locally advanced head and neck cancer treated with radio-chemotherapy? Radiother. Oncol. 2012, 103, 63–68. [Google Scholar] [CrossRef] [PubMed]
  110. Mogilner, J.; Siplovich, L.; Bar-Ziv, J.; Mares, A.J. Surgical management of the cleft sternum. J. Pediatr. Surg. 1988, 23, 889–891. [Google Scholar] [CrossRef] [PubMed]
  111. Marcus, C.; Ciarallo, A.; Tahari, A.K.; Mena, E.; Koch, W.; Wahl, R.L.; Kiess, A.P.; Kang, H.; Subramaniam, R.M. Head and neck PET/CT: Therapy response interpretation criteria (Hopkins Criteria)-interreader reliability, accuracy, and survival outcomes. J. Nucl. Med. 2014, 55, 1411–1416. [Google Scholar] [CrossRef]
  112. Aiken, A.H.; Farley, A.; Baugnon, K.L.; Corey, A.; El-Deiry, M.; Duszak, R.; Beitler, J.; Hudgins, P.A. Implementation of a Novel Surveillance Template for Head and Neck Cancer: Neck Imaging Reporting and Data System (NI-RADS). J. Am. Coll. Radiol. 2016, 13, 743–746. [Google Scholar] [CrossRef]
  113. Zhong, J.; Sundersingh, M.; Dyker, K.; Currie, S.; Vaidyanathan, S.; Prestwich, R.; Scarsbrook, A. Post-treatment FDG PET-CT in head and neck carcinoma: Comparative analysis of 4 qualitative interpretative criteria in a large patient cohort. Sci. Rep. 2020, 10, 4086. [Google Scholar] [CrossRef]
  114. Garibaldi, C.; Ronchi, S.; Cremonesi, M.; Gilardi, L.; Travaini, L.; Ferrari, M.; Alterio, D.; Kaanders, J.H.A.M.; Ciardo, D.; Orecchia, R.; et al. Interim 18F-FDG PET/CT During Chemoradiation Therapy in the Management of Head and Neck Cancer Patients: A Systematic Review. Int. J. Radiat. Oncol. Biol. Phys. 2017, 98, 555–573. [Google Scholar] [CrossRef]
  115. Hentschel, M.; Appold, S.; Schreiber, A.; Abolmaali, N.; Abramyuk, A.; Dörr, W.; Kotzerke, J.; Baumann, M.; Zöphel, K. Early FDG PET at 10 or 20 Gy under chemoradiotherapy is prognostic for locoregional control and overall survival in patients with head and neck cancer. Eur. J. Nucl. Med. Mol. Imaging 2011, 38, 1203–1211. [Google Scholar] [CrossRef]
  116. Chen, S.W.M.; Hsieh, T.C.; Yen, K.Y.; Yang, S.N.; Wang, Y.C.; Chien, C.R.; Liang, J.A.; Kao, C.H. Interim FDG PET/CT for predicting the outcome in patients with head and neck cancer. Laryngoscope 2014, 124, 2732–2738. [Google Scholar] [CrossRef]
  117. Dunsky, K.A.; Wehrmann, D.J.; Osman, M.M.; Thornberry, B.M.; Varvares, M.A. PET-CT and the detection of the asymptomatic recurrence or second primary lesions in the treated head and neck cancer patient. Laryngoscope 2013, 123, 2161–2164. [Google Scholar] [CrossRef]
  118. Leeman, J.E.; Li, J.G.; Pei, X.; Venigalla, P.; Zumsteg, Z.S.; Katsoulakis, E.; Lupovitch, E.; McBride, S.M.; Tsai, C.J.; Boyle, J.O.; et al. Patterns of Treatment Failure and Postrecurrence Outcomes among Patients with Locally Advanced Head and Neck Squamous Cell Carcinoma After Chemoradiotherapy Using Modern Radiation Techniques. JAMA Oncol. 2017, 3, 1487–1494. [Google Scholar] [CrossRef]
  119. Pryor, D.I.; Porceddu, S.V.; Scuffham, P.A.; Whitty, J.A.; Thomas, P.A.; Burmeister, B.H. Economic analysis of FDG-PET-guided management of the neck after primary chemoradiotherapy for node-positive head and neck squamous cell carcinoma. Head Neck 2013, 35, 1287–1294. [Google Scholar] [CrossRef]
  120. Hollenbeak, C.S.; Lowe, V.J.; Stack, B.C., Jr. The cost-effectiveness of fluorodeoxyglucose 18-F positron emission tomography in the N0 neck. Cancer 2001, 92, 2341–2348. [Google Scholar] [CrossRef]
  121. Sher, D.J.; Tishler, R.B.; Annino, D.; Punglia, R.S. Cost-effectiveness of CT and PET-CT for determining the need for adjuvant neck dissection in locally advanced head and neck cancer. Ann. Oncol. 2010, 21, 1072–1077. [Google Scholar] [CrossRef]
  122. Rabalais, A.; Walvekar, R.R.; Johnson, J.T.; Smith, K.J. A cost-effectiveness analysis of positron emission tomography-computed tomography surveillance versus up-frontneck dissection for management of the neck for N2 disease after chemoradiotherapy. Laryngoscope 2012, 122, 311–314. [Google Scholar] [CrossRef]
  123. Smith, A.F.; Hall, P.S.; Hulme, C.T.; Dunn, J.A.; McConkey, C.C.; Rahman, J.K.; McCabe, C.; Mehanna, H. Cost-effectiveness analysis of PET-CT-guided management for locally advanced head and neck cancer. Eur. J. Cancer 2017, 85, 6–14. [Google Scholar] [CrossRef] [PubMed]
  124. Hodolič, M.; Fettich, J.; Kairemo, K. Hypoxia PET Tracers in EBRT Dose Planning in Head and Neck Cancer. Curr. Radiopharm. 2015, 8, 32–37. [Google Scholar] [CrossRef]
  125. Bertout, J.A.; Patel, S.A.; Simon, M.C. The impact of O2 availability on human cancer. Nat. Rev. Cancer 2008, 8, 967–975. [Google Scholar] [CrossRef]
  126. Pigorsch, S.U.; Wilkens, J.J.; Kampfer, S.; Kehl, V.; Hapfelmeier, A.; Schläger, C.; Bier, H.; Schwaiger, M.; Combs, S.E. Do selective radiation dose escalation and tumour hypoxia status impact the loco-regional tumour control after radio-chemotherapy of head & neck tumours? The ESCALOX protocol. Radiat. Oncol. 2017, 12, 45. [Google Scholar]
  127. Lopes, S.; Ferreira, S.; Caetano, M. PET/CT in the Evaluation of Hypoxia for Radiotherapy Planning in Head and Neck Tumors: Systematic Literature Review. J. Nucl. Med. Technol. 2021, 49, 107–113. [Google Scholar] [CrossRef]
  128. Welz, S.; Mönnich, D.; Pfannenberg, C.; Nikolaou, K.; Reimold, M.; La Fougère, C.; Reischl, G.; Mauz, P.S.; Paulsen, F.; Alber, M.; et al. Prognostic value of dynamic hypoxia PET in head and neck cancer: Results from a planned interim analysis of a randomized phase II hypoxia-image guided dose escalation trial. Radiother. Oncol. 2017, 124, 526–532. [Google Scholar] [CrossRef]
  129. Zschaeck, S.; Haase, R.; Abolmaali, N.; Perrin, R.; Stützer, K.; Appold, S.; Steinbach, J.; Kotzerke, J.; Zips, D.; Richter, C.; et al. Spatial distribution of FMISO in head and neck squamous cell carcinomas during radio-chemotherapy and its correlation to pattern of failure. Acta Oncol. 2015, 54, 1355–1363. [Google Scholar] [CrossRef]
  130. Boeke, S.; Thorwarth, D.; Mönnich, D.; Pfannenberg, C.; Reischl, G.; La Fougère, C.; Nikolaou, K.; Mauz, P.S.; Paulsen, F.; Zips, D.; et al. Geometric analysis of loco-regional recurrences in relation to pre-treatment hypoxia in patients with head and neck cancer. Acta Oncol. 2017, 56, 1571–1576. [Google Scholar] [CrossRef]
  131. Wiedenmann, N.E.; Bucher, S.; Hentschel, M.; Mix, M.; Vach, W.; Bittner, M.I.; Nestle, U.; Pfeiffer, J.; Weber, W.A.; Grosu, A.L. Serial [18F]-fluoromisonidazole PET during radiochemotherapy for locally advanced head and neck cancer and its correlation with outcome. Radiother. Oncol. 2015, 117, 113–117. [Google Scholar] [CrossRef]
  132. Thorwarth, D.; Eschmann, S.M.; Holzner, F.; Paulsen, F.; Alber, M. Combined uptake of [18F]FDG and [18F]FMISO correlates with radiation therapy outcome in head-and-neck cancer patients. Radiother. Oncol. 2006, 80, 151–156. [Google Scholar] [CrossRef]
  133. Chen, H.; Pang, Y.; Wu, J.; Zhao, L.; Hao, B.; Wu, J.; Wei, J.; Wu, S.; Zhao, L.; Luo, Z.; et al. Comparison of [68Ga]Ga-DOTA-FAPI-04 and [18F] FDG PET/CT for the diagnosis of primary and metastatic lesions in patients with various types of cancer. Eur. J. Nucl. Med. Mol. Imaging 2020, 47, 1820–1832. [Google Scholar] [CrossRef] [PubMed]
  134. Rizzo, A.; Miceli, A.; Racca, M.; Bauckneht, M.; Morbelli, S.; Albano, D.; Dondi, F.; Bertagna, F.; Galizia, D.; Muoio, B.; et al. Diagnostic Accuracy of [68Ga]Ga Labeled Fibroblast-Activation Protein Inhibitors in Detecting Head and Neck Cancer Lesions Using Positron Emission Tomography: A Systematic Review and a Meta-Analysis. Pharmaceuticals 2023, 16, 1664. [Google Scholar] [CrossRef] [PubMed]
  135. Zhao, L.; Pang, Y.; Zheng, H.; Han, C.; Gu, J.; Sun, L.; Wu, H.; Wu, S.; Lin, Q.; Chen, H. Clinical utility of [68Ga]Ga-labeled fibroblast activation protein inhibitor (FAPI) positron emission tomography/computed tomography for primary staging and recurrence detection in nasopharyngeal carcinoma. Eur. J. Nucl. Med. Mol. Imaging 2021, 48, 3606–3617. [Google Scholar] [CrossRef] [PubMed]
  136. Linz, C.; Brands, R.C.; Kertels, O.; Dierks, A.; Brumberg, J.; Gerhard-Hartmann, E.; Hartmann, S.; Schirbel, A.; Serfling, S.; Zhi, Y.; et al. Targeting fibroblast activation protein in newly diagnosed squamous cell carcinoma of the oral cavity—Initial experience and comparison to [18F]FDG PET/CT and MRI. Eur. J. Nucl. Med. Mol. Imaging 2021, 48, 3951–3960. [Google Scholar] [CrossRef] [PubMed]
  137. Hasebe, M.; Yoshikawa, K.; Ohashi, S.; Toubaru, S.; Kawaguchi, K.; Sato, J.; Mizoe, J.; Tsujii, H. A study on the prognostic evaluation of carbon ion radiotherapy for head and neck adenocarcinoma with C-11 methionine PET. Mol. Imaging Biol. 2010, 12, 554–562. [Google Scholar] [CrossRef] [PubMed]
  138. Toubaru, S.; Yoshikawa, K.; Ohashi, S.; Tanimoto, K.; Hasegawa, A.; Kawaguchi, K.; Saga, T.; Kamada, T. Accuracy of methionine-PET in predicting the efficacy of heavy-particle therapy on primary adenoid cystic carcinomas of the head and neck. Radiat. Oncol. 2013, 8, 143. [Google Scholar] [CrossRef] [PubMed]
  139. Hasebe, M.; Yoshikawa, K.; Nishii, R.; Kawaguchi, K.; Kamada, T.; Hamada, Y. Usefulness of 11C-methionine-PET for predicting the efficacy of carbon ion radiation therapy for head and neck mucosal malignant melanoma. Int. J. Oral Maxillofac. Surg. 2017, 46, 1220–1228. [Google Scholar] [CrossRef] [PubMed]
  140. Pauleit, D.; Zimmermann, A.; Stoffels, G.; Bauer, D.; Risse, J.; Flüss, M.O.; Hamacher, K.; Coenen, H.H.; Langen, K.J. 18F-FET PET compared with 18F-FDG PET and CT in patients with head and neck cancer. J. Nucl. Med. 2006, 47, 256–261. [Google Scholar] [PubMed]
  141. Haerle, S.K.; Fischer, D.R.; Schmid, D.T.; Ahmad, N.; Huber, G.F.; Buck, A. 18F-FET PET/CT in advanced head and neck squamous cell carcinoma: An intra-individual comparison with 18F-FDG PET/CT. Mol. Imaging Biol. 2011, 13, 1036–1042. [Google Scholar] [CrossRef]
  142. Balogova, S.; Périé, S.; Kerrou, K.; Grahek, D.; Montravers, F.; Angelard, B.; Susini, B.; El Chater, P.; St Guily, J.L.; Talbot, J.N. Prospective comparison of FDG and FET PET/CT in patients with head and neck squamous cell carcinoma. Mol. Imaging Biol. 2008, 10, 364–373. [Google Scholar] [CrossRef]
  143. Cegla, P.; Kazmierska, J.; Gwozdz, S.; Czepczynski, R.; Malicki, J.; Cholewinski, W. Assessment of biological parameters in head and neck cancer based on in vivo distribution of 18F-FDG-FLT-FMISO-PET/CT images. Tumori J. 2020, 106, 33–38. [Google Scholar] [CrossRef] [PubMed]
  144. Hoshikawa, H.; Yamamoto, Y.; Mori, T.; Kishino, T.; Fukumura, T.; Samukawa, Y.; Mori, N.; Nishiyama, Y. Predictive value of SUV-based parameters derived from pre-treatment 18F-FLT PET/CT for short-term outcome with head and neck cancers. Ann. Nucl. Med. 2014, 28, 1020–1026. [Google Scholar] [CrossRef] [PubMed]
  145. Schaefferkoetter, J.D.; Carlson, E.R.; Heidel, R.E. Can 3′-Deoxy-3′-(18F) Fluorothymidine Outperform 2-Deoxy-2-(18F) Fluoro-D-Glucose Positron Emission Tomography/Computed Tomography in the Diagnosis of Cervical Lymphadenopathy in Patients with Oral/Head and Neck Cancer? J. Oral. Maxillofac. Surg. 2015, 73, 1420–1428. [Google Scholar] [CrossRef] [PubMed]
  146. Lin, E.P.; Chin, B.B.; Fishbein, L.; Moritani, T.; Montoya, S.P.; Ellika, S.; Newlands, S. Head and Neck Paragangliomas: An Update on the Molecular Classification, State-of-the-Art Imaging, and Management Recommendations. Radiol. Imaging Cancer 2022, 4, e210088. [Google Scholar] [CrossRef] [PubMed]
  147. Janssen, I.; Blanchet, E.M.; Adams, K.; Chen, C.C.; Millo, C.M.; Herscovitch, P.; Taieb, D.; Kebebew, E.; Lehnert, H.; Fojo, A.T.; et al. Superiority of [68Ga]-DOTATATE PET/CT to other functional imaging modalities in the localization of SDHB-associated metastatic pheochromocytoma and paraganglioma. Clin. Cancer Res. 2015, 21, 3888–3895. [Google Scholar] [CrossRef] [PubMed]
  148. Sharma, P.; Thakar, A.; Suman, K.C.S.; Dhull, V.S.; Singh, H.; Naswa, N.; Reddy, R.M.; Karunanithi, S.; Kumar, R.; Kumar, R.; et al. 68Ga-DOTANOC PET/CT for baseline evaluation of patients with head and neck paraganglioma. J. Nucl. Med. 2013, 54, 841–847. [Google Scholar] [CrossRef] [PubMed]
  149. National Comprehensive Cancer Network. NCCN Clinical Practice Guidelines in Oncology: Neuroendocrine and Adrenal Tumors. NCCN Version 1. 2023. Available online: https://www.nccn.org/professionals/physician_gls/pdf/neuroendocrine.pdf (accessed on 25 March 2024).
  150. Taïeb, D.; Hicks, R.J.; Hindié, E.; Guillet, B.A.; Avram, A.; Ghedini, P.; Timmers, H.J.; Scott, A.T.; Elojeimy, S.; Rubello, D.; et al. European Association of Nuclear Medicine Practice Guideline/Society of Nuclear Medicine and Molecular Imaging Procedure Standard 2019 for radionuclide imaging of phaeochromocytoma and paraganglioma. Eur. J. Nucl. Med. Mol. Imaging 2019, 46, 2112–2137. [Google Scholar] [CrossRef] [PubMed]
  151. Han, S.; Suh, C.H.; Woo, S.; Kim, Y.J.; Lee, J.J. Performance of 68Ga-DOTA-Conjugated Somatostatin Receptor-Targeting Peptide PET in Detection of Pheochromocytoma and Paraganglioma: A Systematic Review and Metaanalysis. J. Nucl. Med. 2019, 60, 369–376. [Google Scholar] [CrossRef]
  152. Sekine, T.; Barbosa, F.G.; Delso, G.; Burger, I.A.; Stolzmann, P.; Ter Voert, E.E.; Huber, G.F.; Kollias, S.S.; von Schulthess, G.K.; Veit-Haibach, P.; et al. Local resectability assessment of head and neck cancer: Positron emission tomography/MRI versus positron emission tomography/CT. Head Neck 2017, 39, 1550–1558. [Google Scholar] [CrossRef]
  153. Huang, S.H.; Chien, C.Y.; Lin, W.C.; Fang, F.M.; Wang, P.W.; Lui, C.C.; Huang, Y.C.; Hung, B.T.; Tu, M.C.; Chang, C.C. A comparative study of fused FDG PET/MRI, PET/CT, MRI, and CT imaging for assessing surrounding tissue invasion of advanced buccal squamous cell carcinoma. Clin. Nucl. Med. 2011, 36, 518–525. [Google Scholar] [CrossRef]
  154. Covello, M.; Cavaliere, C.; Aiello, M.; Cianelli, M.S.; Mesolella, M.; Iorio, B.; Rossi, A.; Nicolai, E. Simultaneous PET/MRI head–neck cancer imaging: Preliminary clinical experience and multiparametric evaluation. Eur. J. Radiol. 2015, 84, 1269–1276. [Google Scholar] [PubMed]
  155. Kuhn, F.; Huellner, M.; von Schulthess, G.; Veit-Haibach, P. Comparison of contrast enhanced PET/MRI and contrast enhanced PET/CT in patients with head and neck cancer. J. Nucl. Med. 2013, 54 (Suppl. 2), 515. [Google Scholar]
  156. Cavaliere, C.; Romeo, V.; Aiello, M.; Mesolella, M.; Iorio, B.; Barbuto, L.; Cantone, E.; Nicolai, E.; Covello, M. Multiparametric evaluation by simultaneous PET-MRI examination in patients with histologically proven laryngeal cancer. Eur. J. Radiol. 2017, 88, 47–55. [Google Scholar] [CrossRef]
  157. Kuhn, F.P.; Hullner, M.; Mader, C.E.; Kastrinidis, N.; Huber, G.F.; von Schulthess, G.K.; Kollias, S.; Veit-Haibach, P. Contrast-enhanced PET/MR imaging versus contrast-enhanced PET/CT in head and neck cancer: How much MR information is needed? J. Nucl. Med. 2014, 55, 551–558. [Google Scholar] [CrossRef] [PubMed]
  158. Huellner, M.W. PET/MR in Head and Neck Cancer—An Update. Semin. Nucl. Med. 2021, 51, 26–38. [Google Scholar] [CrossRef] [PubMed]
  159. Pizzuto, D.A.; Husmann, L.; Stolzmann, P.; Meerwein, C.; Orita, E.; von Schulthess, G.K.; Huellner, M.W. Fluoro-deoxy-glucose uptake in the mylohyoid muscle: A common misconception. Nucl. Med. Commun. 2020, 41, 452–458. [Google Scholar] [CrossRef] [PubMed]
  160. Haerle, S.K.; Hany, T.F.; Ahmad, N.; Burger, I.; Huber, G.F.; Schmid, D.T. Physiologic [18F]fluorodeoxyglucose uptake of floor of mouth muscles in PET/CT imaging: A problem of body position during FDG uptake? Cancer Imaging 2013, 13, 1–7. [Google Scholar] [CrossRef] [PubMed]
  161. Monti, S.; Cavaliere, C.; Covello, M.; Nicolai, E.; Salvatore, M.; Aiello, M. An evaluation of the benefits of simultaneous acquisition on PET/MR coregistration in head/neck imaging. J. Healthc. Eng. 2017, 2017, 2634389. [Google Scholar] [CrossRef] [PubMed]
  162. Chan, S.C.; Yeh, C.H.; Yen, T.C.; Ng, S.H.; Chang, J.T.; Lin, C.Y.; Yen-Ming, T.; Fan, K.H.; Huang, B.S.; Hsu, C.L.; et al. Clinical utility of simultaneous whole-body 18F-FDG PET/MRI as a single-step imaging modality in the staging of primary nasopharyngeal carcinoma. Eur. J. Nucl. Med. Mol. Imaging 2018, 45, 1297–1308. [Google Scholar] [CrossRef]
  163. Cheng, Y.; Bai, L.; Shang, J.; Tang, Y.; Ling, X.; Guo, B.; Gong, J.; Wang, L.; Xu, H. Preliminary clinical results for PET/MR compared with PET/CT in patients with nasopharyngeal carcinoma. Oncol. Rep. 2020, 43, 177–187. [Google Scholar] [CrossRef]
  164. Huang, C.; Song, T.; Mukherji, S.K.; Zhang, L.; Lu, J.; Chen, X.; Xian, J. Comparative study between integrated positron emission tomography/magnetic resonance and positron emission tomography/computed tomography in the T and N staging of hypopharyngeal cancer: An initial result. J. Comput. Assist. Tomogr. 2020, 44, 540–545. [Google Scholar] [CrossRef] [PubMed]
  165. Cao, C.; Fang, Y.; Yu, B.; Xu, Y.; Qiang, M.; Tao, C.; Huang, S.; Chen, X. Use of 18F-FDG PET/MRI as an Initial Staging Procedure for Nasopharyngeal Carcinoma. J. Magn. Reson. Imaging 2024, 59, 922–928. [Google Scholar] [CrossRef] [PubMed]
  166. Partovi, S.; Kohan, A.; Vercher-Conejero, J.L.; Rubbert, C.; Margevicius, S.; Schluchter, M.D.; Gaeta, C.; Faulhaber, P.; Robbin, M.R. Qualitative and quantitative performance of 18F-FDG-PET/MRI versus 18F-FDG-PET/CT in patients with head and neck cancer. AJNR Am. J. Neuroradiol. 2014, 35, 1970–1975. [Google Scholar] [CrossRef] [PubMed]
  167. Kubiessa, K.; Purz, S.; Gawlitza, M.; Kühn, A.; Fuchs, J.; Steinhoff, K.G.; Boehm, A.; Sabri, O.; Kluge, R.; Kahn, T.; et al. Initial clinical results of simultaneous 18F-FDG PET/MRI in comparison to 18F-FDG PET/CT in patients with head and neck cancer. Eur. J. Nucl. Med. Mol. Imaging 2014, 41, 639–648. [Google Scholar] [CrossRef] [PubMed]
  168. Sekine, T.; de Galiza Barbosa, F.; Kuhn, F.P.; Burger, I.A.; Stolzmann, P.; Huber, G.F.; Kollias, S.S.; von Schulthess, G.K.; Veit-Haibach, P.; Huellner, M.W. PET+MR versus PET/CT in the initial staging of head and neck cancer, using a trimodality PET/CT+MR system. Clin. Imaging 2017, 42, 232–239. [Google Scholar] [CrossRef] [PubMed]
  169. Platzek, I.; Beuthien-Baumann, B.; Schneider, M.; Gudziol, V.; Kitzler, H.H.; Maus, J.; Schramm, G.; Popp, M.; Laniado, M.; Kotzerke, J.; et al. FDG PET/MR for lymph node staging in head and neck cancer. Eur. J. Radiol. 2014, 83, 1163–1168. [Google Scholar] [CrossRef] [PubMed]
  170. Schaarschmidt, B.M.; Heusch, P.; Buchbender, C.; Ruhlmann, M.; Bergmann, C.; Ruhlmann, V.; Schlamann, M.; Antoch, G.; Forsting, M.; Wetter, A. Locoregional tumour evaluation of squamous cell carcinoma in the head and neck area: A comparison between MRI, PET/CT and integrated PET/MRI. Eur. J. Nucl. Med. Mol. Imaging 2016, 43, 92–102. [Google Scholar] [CrossRef] [PubMed]
  171. Varoquaux, A.; Rager, O.; Poncet, A.; Delattre, B.M.; Ratib, O.; Becker, C.D.; Dulguerov, P.; Dulguerov, N.; Zaidi, H.; Becker, M. Detection and quantification of focal uptake in head and neck tumours: 18F-FDG PET/MR versus PET/CT. Eur. J. Nucl. Med. Mol. Imaging 2014, 41, 462–475. [Google Scholar] [CrossRef]
  172. Stolzmann, P.; Veit-Haibach, P.; Chuck, N.; Rossi, C.; Frauenfelder, T.; Alkadhi, H.; von Schulthess, G.; Boss, A. Detection rate, location, and size of pulmonary nodules in trimodality PET/CT-MR: Comparison of low-dose CT and Dixon-based MR imaging. Investig. Radiol. 2013, 48, 241–246. [Google Scholar] [CrossRef]
  173. Raad, R.A.; Friedman, K.P.; Heacock, L.; Ponzo, F.; Melsaether, A.; Chandarana, H. Outcome of small lung nodules missed on hybrid PET/MRI in patients with primary malignancy. J. Magn. Reson. Imaging 2016, 43, 504–511. [Google Scholar] [CrossRef]
  174. Chang, S.T.; Nguyen, D.C.; Raptis, C.; Menias, C.O.; Zhou, G.; Wang-Gillam, A.; Linehan, D.C.; Hawkins, W.G.; Strasberg, S.M.; Fields, R.C. Natural history of preoperative subcentimeter pulmonary nodules in patients with resectable pancreatic adenocarcinoma: A retrospective cohort study. Ann. Surg. 2015, 261, 970–975. [Google Scholar] [CrossRef] [PubMed]
  175. Sekine, T.; Barbosa, F.G.; Sah, B.R.; Mader, C.E.; Delso, G.; Burger, I.A.; Stolzmann, P.; Ter Voert, E.E.; von Schulthess, G.K.; Veit-Haibach, P.; et al. PET/MR Outperforms PET/CT in Suspected Occult Tumors. Clin. Nucl. Med. 2017, 42, e88–e95. [Google Scholar] [CrossRef] [PubMed]
  176. Ruhlmann, V.; Ruhlmann, M.; Bellendorf, A.; Grueneisen, J.; Sawicki, L.M.; Grafe, H.; Forsting, M.; Bockisch, A.; Umutlu, L. Hybrid imaging for detection of carcinoma of unknown primary: A preliminary comparison trial of whole-body PET/MRI versus PET/CT. Eur. J. Radiol. 2016, 85, 1941–1947. [Google Scholar] [CrossRef] [PubMed]
  177. Samołyk-Kogaczewska, N.; Sierko, E.; Zuzda, K.; Gugnacki, P.; Szumowski, P.; Mojsak, M.; Burzyńska-Śliwowska, J.; Wojtukiewicz, M.Z.; Szczecina, K.; Jurgilewicz, D.H. PET/MRI-guided GTV delineation during radiotherapy planning in patients with squamous cell carcinoma of the tongue. Strahlenther. Onkol. 2019, 195, 780–791. [Google Scholar] [CrossRef] [PubMed]
  178. Wang, K.; Mullins, B.T.; Falchook, A.D.; Lian, J.; He, K.; Shen, D.; Dance, M.; Lin, W.; Sills, T.M.; Das, S.K.; et al. Evaluation of PET/MRI for Tumor Volume Delineation for Head and Neck Cancer. Front. Oncol. 2017, 7, 8. [Google Scholar] [CrossRef] [PubMed]
  179. Terzidis, E.; Friborg, J.; Vogelius, I.R.; Lelkaitis, G.; von Buchwald, C.; Olin, A.B.; Johannesen, H.H.; Fischer, B.M.; Wessel, I.; Rasmussen, J.H. Tumor volume definitions in head and neck squamous cell carcinoma—Comparing PET/MRI and histopathology. Radiother. Oncol. 2023, 180, 109484. [Google Scholar] [CrossRef] [PubMed]
  180. Kirchner, J.; Schaarschmidt, B.M.; Sauerwein, W.; Deuschl, C.; Arweiler-Harbeck, D.; Holtmann, L.; Stebner, V.; Umutlu, L.; Antoch, G.; Ruhlmann, V. 18F-FDG PET/MRI vs MRI in patients with recurrent adenoid cystic carcinoma. Head Neck 2019, 41, 170–176. [Google Scholar] [CrossRef] [PubMed]
  181. Becker, M.; Varoquaux, A.D.; Combescure, C.; Rager, O.; Pusztaszeri, M.; Burkhardt, K.; Delattre, B.M.A.; Dulguerov, P.; Dulguerov, N.; Katirtzidou, E.; et al. Local recurrence of squamous cell carcinoma of the head and neck after radio(chemo)therapy: Diagnostic performance of FDG-PET/MRI with diffusion-weighted sequences. Eur. Radiol. 2018, 28, 651–663. [Google Scholar] [CrossRef] [PubMed]
  182. Queiroz, M.A.; Hullner, M.; Kuhn, F.; Huber, G.; Meerwein, C.; Kollias, S.; von Schulthess, G.; Veit-Haibach, P. Use of diffusion-weighted imaging (DWI) in PET/MRI for head and neck cancer evaluation. Eur. J. Nucl. Med. Mol. Imaging 2014, 41, 2212–2221. [Google Scholar] [CrossRef]
  183. Queiroz, M.A.; Huellner, M.W. PET/MR in cancers of the head and neck. Semin. Nucl. Med. 2015, 45, 248–265. [Google Scholar] [CrossRef]
  184. Castelli, J.; De Bari, B.; Depeursinge, A.; Simon, A.; Devillers, A.; Roman Jimenez, G.; Prior, J.; Ozsahin, M.; de Crevoisier, R.; Bourhis, J. Overview of the predictive value of quantitative 18 FDG PET in head and neck cancer treated with chemoradiotherapy. Crit. Rev. Oncol. Hematol. 2016, 108, 40–51. [Google Scholar] [CrossRef] [PubMed]
  185. Zhang, W.; Guo, Y.; Jin, Q. Radiomics and Its Feature Selection: A Review. Symmetry 2023, 15, 1834. [Google Scholar] [CrossRef]
  186. Avanzo, M.; Stancanello, J.; El Naqa, I. Beyond imaging: The promise of radiomics. Phys. Medica 2017, 38, 122–139. [Google Scholar] [CrossRef] [PubMed]
  187. Alkhadar, H.; Macluskey, M.; White, S.; Ellis, I.; Gardner, A. Comparison of machine learning algorithms for the prediction of five-year survival in oral squamous cell carcinoma. J. Oral Pathol. Med. 2021, 50, 378–384. [Google Scholar] [CrossRef] [PubMed]
  188. Guezennec, C.; Robin, P.; Orlhac, F.; Bourhis, D.; Delcroix, O.; Gobel, Y.; Rousset, J.; Schick, U.; Salaün, P.Y.; Abgral, R. Prognostic value of textural indices extracted from pretherapeutic 18-F-FDG-PET/CT in head and neck squamous cell carcinoma. Head Neck 2019, 41, 495–502. [Google Scholar] [CrossRef] [PubMed]
  189. Feliciani, G.; Fioroni, F.; Grassi, E.; Bertolini, M.; Rosca, A.; Timon, G.; Galaverni, M.; Iotti, C.; Versari, A.; Iori, M.; et al. Radiomic Profiling of Head and Neck Cancer: 18F-FDG PET Texture Analysis as Predictor of Patient Survival. Contrast Media Mol. Imaging 2018, 2018, 3574310. [Google Scholar] [CrossRef] [PubMed]
  190. Bogowicz, M.; Leijenaar, R.T.H.; Tanadini-Lang, S.; Riesterer, O.; Pruschy, M.; Studer, G.; Unkelbach, J.; Guckenberger, M.; Konukoglu, E.; Lambin, P. Post-radiochemotherapy PET radiomics in head and neck cancer—The influence of radiomics implementation on the reproducibility of local control tumor models. Radiother. Oncol. 2017, 125, 385–391. [Google Scholar] [CrossRef] [PubMed]
  191. Bogowicz, M.; Riesterer, O.; Stark, L.S.; Studer, G.; Unkelbach, J.; Guckenberger, M.; Tanadini-Lang, S. Comparison of PET and CT radiomics for prediction of local tumor control in head and neck squamous cell carcinoma. Acta Oncol. 2017, 56, 1531–1536. [Google Scholar] [CrossRef] [PubMed]
  192. Song, Y.; Tian, Y.; Lu, X.; Chen, G.; Lv, X. Prognostic value of 18F-FDG PET radiomics and sarcopenia in patients with oral squamous cell carcinoma. Med. Phys. 2024. [Google Scholar] [CrossRef]
  193. Choi, J.H.; Choi, J.Y.; Woo, S.K.; Moon, J.E.; Lim, C.H.; Park, S.B.; Seo, S.; Ahn, Y.C.; Ahn, M.J.; Moon, S.H.; et al. Prognostic Value of Radiomic Analysis Using Pre- and Post-Treatment 18F-FDG-PET/CT in Patients with Laryngeal Cancer and Hypopharyngeal Cancer. J. Pers. Med. 2024, 14, 71. [Google Scholar] [CrossRef]
  194. Kudoh, T.; Haga, A.; Kudoh, K.; Takahashi, A.; Sasaki, M.; Kudo, Y.; Ikushima, H.; Miyamoto, Y. Radiomics analysis of [18F]-fluoro-2-deoxyglucose positron emission tomography for the prediction of cervical lymph node metastasis in tongue squamous cell carcinoma. Oral Radiol. 2023, 39, 41–50. [Google Scholar] [CrossRef] [PubMed]
  195. Haider, S.P.; Sharaf, K.; Zeevi, T.; Baumeister, P.; Reichel, C.; Forghani, R.; Kann, B.H.; Petukhova, A.; Judson, B.L.; Prasad, M.L.; et al. Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics. Transl. Oncol. 2021, 14, 100906. [Google Scholar] [CrossRef] [PubMed]
  196. Nakajo, M.; Kawaji, K.; Nagano, H.; Jinguji, M.; Mukai, A.; Kawabata, H.; Tani, A.; Hirahara, D.; Yamashita, M.; Yoshiura, T. The usefulness of machine learning-based evaluation of clinical and pretreatment [18F]-FDG-PET/CT radiomic features for predicting prognosis in hypopharyngeal cancer. Mol. Imaging Biol. 2023, 25, 303–313. [Google Scholar] [CrossRef] [PubMed]
  197. Lafata, K.J.; Chang, Y.; Wang, C.; Mowery, Y.M.; Vergalasova, I.; Niedzwiecki, D.; Yoo, D.S.; Liu, J.G.; Brizel, D.M.; Yin, F.F. Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancers. Med. Phys. 2021, 48, 3767–3777. [Google Scholar] [CrossRef] [PubMed]
  198. Spielvogel, C.P.; Stoiber, S.; Papp, L.; Krajnc, D.; Grahovac, M.; Gurnhofer, E.; Trachtova, K.; Bystry, V.; Leisser, A.; Jank, B.; et al. Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer. Eur. J. Nucl. Med. Mol. Imaging 2023, 50, 546–558. [Google Scholar] [CrossRef] [PubMed]
  199. Haider, S.P.; Zeevi, T.; Baumeister, P.; Reichel, C.; Sharaf, K.; Forghani, R.; Kann, B.H.; Judson, B.L.; Prasad, M.L.; Burtness, B.; et al. Potential added value of PET/CT radiomics for survival prognostication beyond AJCC 8th edition staging in oropharyngeal squamous cell carcinoma. Cancers 2020, 12, 1778. [Google Scholar] [CrossRef] [PubMed]
  200. Zhong, J.; Frood, R.; Brown, P.; Nelstrop, H.; Prestwich, R.; McDermott, G.; Currie, S.; Vaidyanathan, S.; Scarsbrook, A.F. Machine learning-based FDG PET-CT radiomics for outcome prediction in larynx and hypopharynx squamous cell carcinoma. Clin. Radiol. 2021, 76, 78.e9–78.e17. [Google Scholar] [CrossRef] [PubMed]
  201. Du, D.; Feng, H.; Lv, W.; Ashrafinia, S.; Yuan, Q.; Wang, Q.; Yang, W.; Feng, Q.; Chen, W.; Rahmim, A.; et al. Machine learning methods for optimal radiomics-based differentiation between recurrence and inflammation: Application to nasopharyngeal carcinoma post-therapy PET/CT images. Mol. Imaging Biol. 2020, 22, 730–738. [Google Scholar] [CrossRef] [PubMed]
  202. Peng, H.; Dong, D.; Fang, M.J.; Li, L.; Tang, L.L.; Chen, L.; Mao, Y.P.; Fan, W.; Liu, L.Z.; Tian, L.; et al. Prognostic value of deep learning PET/CT-based radiomics: Potential role for future individual induction chemotherapy in advanced nasopharyngeal carcinoma. Clin. Cancer Res. 2019, 25, 4271–4279. [Google Scholar] [CrossRef]
  203. Nakajo, M.; Jinguji, M.; Ito, S.; Tani, A.; Hirahara, M.; Yoshiura, T. Clinical application of 18F-fluorodeoxyglucose positron emission tomography/computed tomography radiomics-based machine learning analyses in the field of oncology. Jpn. J. Radiol. 2024, 42, 28–55. [Google Scholar] [CrossRef]
  204. Nakajo, M.; Nagano, H.; Jinguji, M.; Kamimura, Y.; Masuda, K.; Takumi, K.; Tani, A.; Hirahara, D.; Kariya, K.; Yamashita, M.; et al. The usefulness of machine-learning-based evaluation of clinical and pretreatment 18F-FDG-PET/CT radiomic features for predicting prognosis in patients with laryngeal cancer. Br. J. Radiol. 2023, 96, 20220772. [Google Scholar] [CrossRef] [PubMed]
  205. Xu, H.; Lv, W.B.; Feng, H.; Du, D.Y.; Yuan, Q.Y.; Wang, Q.S.; Dai, Z.; Yang, W.; Feng, Q.; Ma, J.; et al. Subregional Radiomics Analysis of PET/CT Imaging with Intratumor Partitioning: Application to Prognosis for Nasopharyngeal Carcinoma. Mol. Imaging Biol. 2020, 22, 1414–1426. [Google Scholar] [CrossRef] [PubMed]
  206. Fujima, N.; Andreu-Arasa, V.C.; Meibom, S.K.; Mercier, G.A.; Salama, A.R.; Truong, M.T.; Sakai, O. Prediction of the treatment outcome using machine learning with FDG-PET image-based multiparametric approach in patients with oral cavity squamous cell carcinoma. Clin. Radiol. 2021, 76, 711.e1–711.e7. [Google Scholar] [CrossRef]
  207. Fujima, N.; Andreu-Arasa, V.C.; Meibom, S.K.; Mercier, G.A.; Salama, A.R.; Truong, M.T.; Sakai, O. Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma. Eur. Radiol. 2020, 30, 6322–6330. [Google Scholar] [CrossRef] [PubMed]
  208. Yan, D.; Chen, S.; Krauss, D.J.; Chen, P.Y.; Chinnaiyan, P.; Wilson, G.D. Tumor Voxel Dose-Response Matrix and Dose Prescription Function Derived Using 18F-FDG PET/CT Images for Adaptive Dose Painting by Number. Int. J. Radiat. Oncol. Biol. Phys. 2019, 104, 207–218. [Google Scholar] [CrossRef] [PubMed]
  209. Reiazi, R.; Abbas, E.; Famiyeh, P.; Rezaie, A.; Kwan, J.Y.Y.; Patel, T.; Bratman, S.V.; Tadic, T.; Liu, F.F. The impact of the variation of imaging parameters on the robustness of Computed Tomography radiomic features: A review. Comput. Biol. Med. 2021, 133, 104400. [Google Scholar] [CrossRef] [PubMed]
  210. Larue, R.T.H.M.; van Timmeren, J.E.; de Jong, E.E.C.; Feliciani, G.; Leijenaar, R.T.H.; Schreurs, W.M.J.; Sosef, M.N.; Raat, F.H.P.J.; van der Zande, F.H.R.; Das, M.; et al. Influence of gray level discretization on radiomic feature stability for different CT scanners, tube currents and slice thicknesses: A comprehensive phantom study. Acta Oncol. 2017, 56, 1544–1553. [Google Scholar] [CrossRef]
  211. Bang, C.; Bernard, G.; Le, W.T.; Lalonde, A.; Kadoury, S.; Bahig, H. Artificial intelligence to predict outcomes of head and neck radiotherapy. Clin. Transl. Radiat. Oncol. 2023, 39, 100590. [Google Scholar] [CrossRef]
Figure 1. Example of recommended PET acquisition protocol for head-and-neck tumors. Skull base to proximal thighs scan with arms raised (A) followed by head–neck study with the patient’s arm placed down (B). The focal uptake in the right parotid gland (arrow) is a reactive lymph node.
Figure 1. Example of recommended PET acquisition protocol for head-and-neck tumors. Skull base to proximal thighs scan with arms raised (A) followed by head–neck study with the patient’s arm placed down (B). The focal uptake in the right parotid gland (arrow) is a reactive lymph node.
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Figure 2. Axial PET, CT, and PET/CT images of a patient with cervical lymph node metastases of undifferentiated carcinoma, and no clinical evidence of primary lesion in the head–neck district. High 18F-FDG uptake is seen in enlarged cervical lymph nodes bilaterally (A,B), although more evident on the left side (red circles in (A,C)), and in the 7th dorsal vertebra (yellow arrow in (D,F)) without structural alterations at low-dose CT (E). PET/CT scan revealed the otherwise unknown primary nasopharyngeal tumor, on the left side (long arrow in (G,I)), not apparent on low-dose CT (H).
Figure 2. Axial PET, CT, and PET/CT images of a patient with cervical lymph node metastases of undifferentiated carcinoma, and no clinical evidence of primary lesion in the head–neck district. High 18F-FDG uptake is seen in enlarged cervical lymph nodes bilaterally (A,B), although more evident on the left side (red circles in (A,C)), and in the 7th dorsal vertebra (yellow arrow in (D,F)) without structural alterations at low-dose CT (E). PET/CT scan revealed the otherwise unknown primary nasopharyngeal tumor, on the left side (long arrow in (G,I)), not apparent on low-dose CT (H).
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Figure 3. PET/CT images showing intense 18F-FDG uptake in a large hypopharyngeal cancer and an enlarged lymph node on the right cervical side; another sub-centimetric cervical lymph node with a mild increase in 18F-FDG uptake is seen contralaterally (arrows).
Figure 3. PET/CT images showing intense 18F-FDG uptake in a large hypopharyngeal cancer and an enlarged lymph node on the right cervical side; another sub-centimetric cervical lymph node with a mild increase in 18F-FDG uptake is seen contralaterally (arrows).
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Figure 4. PET/CT images showing an enlarged and hypodense left cervical lymph node metastasis with no significant increase in 18F-FDG uptake due to necrotic changes (arrow).
Figure 4. PET/CT images showing an enlarged and hypodense left cervical lymph node metastasis with no significant increase in 18F-FDG uptake due to necrotic changes (arrow).
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Figure 5. Axial 18F-FDG PET (A,C,E), CT (G), and fused PET/CT images (B,D,F) for staging in a patient with oropharyngeal carcinoma. Increased 18F-FDG uptake is seen in the primary tumor (A,B) with bilateral pharyngeal involvement (>on the left), as well as in bilateral cervical lymph nodes (yellow and green arrows in (C,D,E,F)). The focal 18F-FDG uptake in the esophagus (red arrow in (H)) was confirmed as a synchronous primary. Slight uptake by a pseudo-nodular left lung consolidation (white triangle in (H)) was due to inflammatory changes.
Figure 5. Axial 18F-FDG PET (A,C,E), CT (G), and fused PET/CT images (B,D,F) for staging in a patient with oropharyngeal carcinoma. Increased 18F-FDG uptake is seen in the primary tumor (A,B) with bilateral pharyngeal involvement (>on the left), as well as in bilateral cervical lymph nodes (yellow and green arrows in (C,D,E,F)). The focal 18F-FDG uptake in the esophagus (red arrow in (H)) was confirmed as a synchronous primary. Slight uptake by a pseudo-nodular left lung consolidation (white triangle in (H)) was due to inflammatory changes.
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Figure 6. Baseline (A,B) and post-chemotherapy (C,D) 18F-FDG PET/CT in a patient with bilateral cervical lymph node metastases from nasopharyngeal carcinoma. Marked reduction in entity and extent of 18F-FDG, as well as in size, was observed in all the involved lymph nodes, with a persistent inhomogeneous uptake and no evidence of new active lesions (partial response).
Figure 6. Baseline (A,B) and post-chemotherapy (C,D) 18F-FDG PET/CT in a patient with bilateral cervical lymph node metastases from nasopharyngeal carcinoma. Marked reduction in entity and extent of 18F-FDG, as well as in size, was observed in all the involved lymph nodes, with a persistent inhomogeneous uptake and no evidence of new active lesions (partial response).
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Table 1. Role of PET/CT for radiotherapy planning.
Table 1. Role of PET/CT for radiotherapy planning.
PET/CT and Radiotherapy PlanningClinical Examples
Patient selection and intended managementTreatment (local disease) versus non-treatment (distant metastases)
Goal of treatmentFrom curative to palliative and vice versa
Selection and delineation of GTV- Detection of occult primary tumor (see text)
- Tumor extension not defined on CT or MRI (see Figure 3)
Dose painting based on biological tumor featuresDose escalation to 18F-FDG avid or hypoxic sub-volumes
Adaptive radiotherapy Escalation or de-escalation during treatment
GTV: gross tumor volume; CT: computed tomography; MRI: magnetic resonance imaging.
Table 3. PET radiopharmaceuticals other than 18F-FDG.
Table 3. PET radiopharmaceuticals other than 18F-FDG.
RadiopharmaceuticalMolecular TargetMain IndicationsClinical Application
18F-FMISO
18F-FAZA
18F-EF5
18F-FETNIM
18F-HX4
64Cu-ATSM
HypoxiaStaging
Response evaluation
Adaptive Radiotherapy
Experimental
68Ga-FAPi
18F-FAPi
Al18F-NOTA-FAPi
Fibroblast Activating Protein (FAP)Staging
Unknown primary
Experimental
11C-METProtein synthesisAdaptive radiotherapy
Response evaluation
Clinical
18F-FETProtein synthesisStaging–RestagingExperimental
18F-FLTCell proliferationStaging–Restaging
Response evaluation
Adaptive radiotherapy
Experimental
68Ga-DOTATOC
68Ga-DOTANOC
68Ga-DOTATATE
SSTR-expressionStaging–Restaging
Response evaluation
Targeted therapy
Clinical
18F-DOPANeurotransmitter transportationStaging–RestagingClinical
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Caldarella, C.; De Risi, M.; Massaccesi, M.; Miccichè, F.; Bussu, F.; Galli, J.; Rufini, V.; Leccisotti, L. Role of 18F-FDG PET/CT in Head and Neck Squamous Cell Carcinoma: Current Evidence and Innovative Applications. Cancers 2024, 16, 1905. https://doi.org/10.3390/cancers16101905

AMA Style

Caldarella C, De Risi M, Massaccesi M, Miccichè F, Bussu F, Galli J, Rufini V, Leccisotti L. Role of 18F-FDG PET/CT in Head and Neck Squamous Cell Carcinoma: Current Evidence and Innovative Applications. Cancers. 2024; 16(10):1905. https://doi.org/10.3390/cancers16101905

Chicago/Turabian Style

Caldarella, Carmelo, Marina De Risi, Mariangela Massaccesi, Francesco Miccichè, Francesco Bussu, Jacopo Galli, Vittoria Rufini, and Lucia Leccisotti. 2024. "Role of 18F-FDG PET/CT in Head and Neck Squamous Cell Carcinoma: Current Evidence and Innovative Applications" Cancers 16, no. 10: 1905. https://doi.org/10.3390/cancers16101905

APA Style

Caldarella, C., De Risi, M., Massaccesi, M., Miccichè, F., Bussu, F., Galli, J., Rufini, V., & Leccisotti, L. (2024). Role of 18F-FDG PET/CT in Head and Neck Squamous Cell Carcinoma: Current Evidence and Innovative Applications. Cancers, 16(10), 1905. https://doi.org/10.3390/cancers16101905

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