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Review

Monitoring and Surveillance of Patients with Gastroenteropancreatic Neuroendocrine Tumors Undergoing Radioligand Therapy

by
Thorvardur R. Halfdanarson
1,*,
Nadine Mallak
2,
Scott Paulson
3,
Chandrikha Chandrasekharan
4,
Mona Natwa
5,
Ayse Tuba Kendi
1 and
Hagen F. Kennecke
6
1
Mayo Clinic, Rochester, MN 55905, USA
2
Division of Molecular Imaging and Therapy, Oregon Health and Science University, Portland, OR 97239, USA
3
Texas Oncology, Dallas, TX 75230, USA
4
College of Medicine, University of Iowa Carver, Iowa City, IA 52242, USA
5
Langone Health, New York University, New York, NY 10016, USA
6
Providence Cancer Institute Franz Clinic, Portland, OR 97213, USA
*
Author to whom correspondence should be addressed.
Cancers 2023, 15(19), 4836; https://doi.org/10.3390/cancers15194836
Submission received: 5 July 2023 / Revised: 13 September 2023 / Accepted: 15 September 2023 / Published: 2 October 2023
(This article belongs to the Section Cancer Therapy)
Review Reports Versions Notes

Abstract

:

Simple Summary

Radioligand therapy with [177Lu]Lu-DOTA-TATE is a therapeutic option for adult patients with somatostatin-receptor–positive gastroenteropancreatic neuroendocrine tumors (GEP-NETs). Patients undergoing radioligand therapy require diligent monitoring and surveillance. While published guidelines can provide guidance on general approaches to care, GEP-NETs are heterogeneous and the guidelines can be difficult to apply in individual and complex cases. In this article, we discuss emerging evidence on imaging, clinical biochemistry, and tumor assessment criteria in the management of patients receiving radioligand therapy for GEP-NETs as well as our own best practices. We offer practical guidance on how to effectively implement monitoring and surveillance measures to aid patient-tailored clinical decision-making.

Abstract

Radioligand therapy (RLT) with [177Lu]Lu-DOTA-TATE is a standard of care for adult patients with somatostatin-receptor (SSTR)-positive gastroenteropancreatic neuroendocrine tumors (GEP-NETs). Taking advantage of this precision nuclear medicine approach requires diligent monitoring and surveillance, from the use of diagnostic SSTR-targeted radioligand imaging for the selection of patients through treatment and assessments of response. Published evidence-based guidelines assist the multidisciplinary healthcare team by providing acceptable approaches to care; however, the sheer heterogeneity of GEP-NETs can make these frameworks difficult to apply in individual clinical circumstances. There are also contradictions in the literature regarding the utility of novel approaches in monitoring and surveilling patients with GEP-NETs receiving RLT. This article discusses the emerging evidence on imaging, clinical biochemistry, and tumor assessment criteria in the management of patients receiving RLT for GEP-NETs; additionally, it documents our own best practices. This allows us to offer practical guidance on how to effectively implement monitoring and surveillance measures to aid patient-tailored clinical decision-making.

1. Introduction

Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are a group of cancers originating within the gastrointestinal tract and pancreas [1,2]. These cancers are biologically and clinically heterogeneous, ranging from well-differentiated, indolent tumors to high-grade, rapidly progressive tumors [1,3]. Despite this overall heterogeneity, most GEP-NETs express somatostatin receptors (SSTRs) on their cell surface [4]. Several therapeutic options are available for this complex disease, including surgery, loco-regional therapy, chemotherapy, somatostatin analogues, everolimus, sunitinib, and SSTR-targeted radioligand therapy (RLT) with [177Lu]Lu-DOTA-TATE (hereafter 177Lu-DOTATATE) [5]. Proactive disease monitoring and clinical surveillance are important for choosing among these therapies, assessing response and adverse events (AEs), and identifying opportunities to switch therapies in patients who have disease progression.
Disease monitoring strategies for patients with GEP-NETs undergoing RLT are distinct compared with other therapies because RLT relies on a unique precision nuclear medicine approach where SSTR expression is first confirmed and visualized using SSTR-targeted positron emission tomography (PET) imaging. Patients with SSTR-positive GEP-NETs are then considered potential candidates for SSTR-targeted RLT. In addition to patient selection, SSTR PET also has roles in patient follow-up and restaging of disease after completion of RLT [6]. Laboratory and safety evaluations should also be tailored to address the risk of certain radiation-associated AEs associated with RLT such as myelosuppression. Finally, patients receiving RLT are best monitored by a patient-centered multidisciplinary team (MDT) whose members together have the requisite expertise for RLT administration and the timely and accurate interpretation of all imaging, laboratory, clinical, and biomarker assessments.
Evidence-based guidelines provide key principles on the monitoring and surveillance of patients receiving RLT for GEP-NETs [7]. The straightforward application of these general principles for patient-tailored clinical decision-making is complicated by several factors. First, extensive heterogeneity in the biological behavior and clinical presentation of GEP-NETs necessitate more granular and fine-tuned patient monitoring strategies that cannot be encompassed by general guidelines [8]. Second, a lack of prospective clinical data forces clinicians to rely on institutional experience instead of level one evidence when choosing a specific monitoring strategy for their patients. This is especially problematic in the case of imaging, where clinicians must grapple with the multitude of anatomic and functional options available.
In this review, we use existing clinical data and our own experience to provide a clinical perspective on the roles of anatomic imaging, SSTR-targeted imaging, laboratory monitoring, circulating biomarkers, and clinical evaluations before, during, and after RLT for GEP-NETs. Additionally, we offer practical guidance on how to select and apply these surveillance methods in patient-tailored management.

2. Considerations and Practical Guidance for Patient Selection and Eligibility Determination for RLT

2.1. SSTR-Targeted Imaging

Patients must have SSTR-positive lesions on SSTR imaging to be considered eligible for SSTR-targeted RLT [9,10]. Lesion uptake higher than the liver, as indicated by a Krenning score of ≥3, is typically used to define SSTR positivity and eligibility for RLT. The Krenning score was originally based on [111ln]ln-pentetreotide scintigraphy (as used in the pivotal NETTER-1 trial of 177Lu-DOTATATE) [11], and a similar threshold-based approach has been adapted for SSTR PET [9,12,13]. As the Krenning scale is visually dependent on planar images and limited by semi-quantitative scoring metrics, efforts have been made to develop other imaging surveillance techniques with better sensitivity and specificity for tumor burden.
Several studies have investigated quantitative SSTR PET/computed tomography (CT) parameters (e.g., standardized uptake values [SUVs], tumor volume metrics, heterogeneity metrics, and tumor-to-liver ratios) to characterize SSTR expression, predict response to RLT, and potentially improve patient selection (Table 1) [14,15,16,17,18,19,20]. Most of these studies were conducted retrospectively in small patient populations, and the results among the studies have not always been concordant. Prospective validation of quantitative parameters is needed from large populations before their use in disease assessment, RLT patient selection, and prognosis can be recommended.
In terms of the specific imaging modality to assess SSTR status, current guidelines recommend the replacement of SSTR scintigraphy with the much more sensitive SSTR PET [6,21,22]. For institutions without a PET scanner, we recommend patient referral to a PET center instead of local scintigraphy imaging. There are three different radioligands currently approved and available for SSTR PET imaging, [68Ga]Ga-DOTA-TATE, [64Cu]Cu-DOTA-TATE, and [68Ga]Ga-DOTA-TOC. Current data [23,24,25] and our own experience do not indicate any clinically relevant differences in diagnostic accuracy among these agents that would lead to one being preferred over the others. The choice of a specific radioligand for imaging thus depends primarily on preference of the nuclear medicine team, availability, and cost considerations. To ensure consistency and reproducibility of imaging across the RLT pathway, it is advisable to use the same radioligand for pre- and post-RLT assessments.
Clinicians should be aware of the challenges and pitfalls associated with SSTR PET image interpretation. For example, accurate interpretation is confounded by incidental SSTR uptake due to factors not related to the presence of a GEP-NET, including non-tumor related pancreatic uptake (especially in the uncinate process), nonmalignant osteoblastic activity, inflammatory processes, benign masses such as uterine fibromas, and incidental meningiomas [26]. Additionally, some of the quantitative parameters, such as absolute SUVs, are dependent on the scanner, and cross-institution reproducibility is problematic. Consequently, we currently do not recommend using these parameters as a basis for clinical decisions [27].
Some of these challenges and pitfalls can be addressed by interpreting SSTR PET imaging in conjunction with contrast-enhanced anatomic imaging, as these modalities provide complementary information. For example, a common aim in SSTR PET image interpretation is the differentiation of physiologic versus GEP-NET-related radioisotope uptake in the pancreatic uncinate process, which may vary over time [28,29,30,31]. Correlation of SSTR PET with multiphasic CT or magnetic resonance imaging (MRI) may reduce the risk of false positives in this region. Pre-RLT imaging should thus incorporate SSTR PET along with multiphasic, contrast-enhanced anatomic imaging of the abdomen, including the liver and pancreas. Functional imaging with 2-[18F] fludeoxyglucose (FDG) PET also complements SSTR PET and has the potential to elucidate disease heterogeneity and improve patient selection for RLT [8,13]. This approach is especially useful in patients with grade 3 GEP-NETs or grade 1/2 GEP-NETs with mismatch lesions between SSTR PET and anatomic imaging. The NETPET scoring system, which incorporates information from both SSTR PET and 2-[18F]FDG PET (dual PET imaging), correlates with tumor grade and prognosis and has been validated as a prognostic biomarker in patients with GEP-NETs or bronchial NETs [32,33].
Table 1. Select studies that have investigated the prognostic value of baseline SSTR imaging in patients with NETs receiving RLT.
Table 1. Select studies that have investigated the prognostic value of baseline SSTR imaging in patients with NETs receiving RLT.
Study, ReferenceStudy DesignNo. and Type of PatientsType and Schedule of SSTR ImagingConclusion
Gabriel et al., 2009 [14]Single-center, prospective 46 patients with advanced NETs 68Ga-DOTATOC
PET with CT or MRI before RLT and after the last therapy cycle		Tumor SUV on baseline 68Ga-DOTATOC PET was not predictive of response to RLT
Oksuz et al., 2014 [18]Retrospective40 patients with advanced, progressive NETs and evidence of SSTR expression68Ga-DOTATOC PET/CT 1–3 days before and 3 months after RLTPre-RLT SUVmax was prognostic for response to RLT but SUVmax threshold values predicting response are not yet known
Kratochwil et al., 2015 [17]Single-center, retrospective30 patients with metastatic NETsBaseline 68Ga-DOTATOC PET/CT of liver metastasesSUVmax cutoff of >16.4 from 68Ga-DOTATOC PET/CT predicted response to RLT
Wetz et al., 2017 [20]Single-center, retrospective20 patients with progressive, metastatic NETs (grade 1 or 2) and SSTR-positive lesions111In-pentetreotide SPECT/CT before RLTSpatial heterogeneity of SSTR volume (asphericity) has potential in predicting response to RLT
Werner et al., 2017 [19]Multi-center, retrospective142 patients who received RLT (77% GEP-NETs)68Ga-DOTATATE PET/CT or 68Ga-DOTATOC PET/CT before RLTBaseline image-based metrics of intratumoral SSTR heterogeneity correlated with PFS and/or OS; in contrast, baseline SUVmax and SUVmean were not predictive of PFS or OS
Graf et al., 2020 [16]Single-center, retrospective65 patients with progressive NETs (grade 1 or 2) referred for RLT68Ga-DOTATATE PET/CT or 68Ga-DOTATOC PET/CT before RLTHeterogeneity of SSTR expression (determined by visual assessment of PET/CT imaging) was associated with shorter OS and TTP
Ortega et al., 2021 [34]Multi-center, prospective 91 patients with progressive NETs and adequate expression of SSTR2Baseline and interim 68Ga-DOTATATE PET/CT before second cycle of RLTBaseline quantitative imaging metrics of SSTR2 expression levels and heterogeneity were predictive of RLT response and PFS
Metser et al., 2022 [35]Multi-center, retrospective 41 patients with progressive NETs and adequate SSTR2 expression68Ga-DOTATATE PET/CT at baseline There was no association between baseline levels of SSTR2 expression in a lesion and subsequent lesion response to RLT
Durmo et al., 2022 [36]Single-center, retrospective 46 patients with unresectable, metastatic NETs and adequate SSTR2 expression68Ga-DOTATOC PET/CT at baseline and after 2 RLT cycles (interim) Baseline whole-body tumor volume was a negative predictor of RLT response and OS
Zwirtz et al., 2022 [15]Single-center, retrospective34 patients with progressive grade 1 or NETs treated with RLT68Ga-DOTATATE PET/CT or 68Ga-DOTATOC PET/CT before RLT, after the 1st and 2nd cycles, and within 3 months of RLT completionA baseline metric incorporating Hounsfield Unit and SUVmean was found to predict lesion progression after 3 RLT cycles
68Ga = gallium-68; CT = computed tomography; MRI = magnetic resonance imaging; NET = neuroendocrine tumor; OS = overall survival; PET = positron emission tomography; PFS = progression-free survival; RLT = radioligand therapy; SPECT = single-photon emission computed tomography; SSTR = somatostatin receptor; SSTR2 = somatostatin receptor type 2; SUVmax = maximum standardized uptake value; SUVmean = mean standardized uptake value; TTP = time to progression.

2.2. Risk of Adverse Events and Laboratory Monitoring

Myelosuppression is an important safety consideration for RLT, and an increased risk of AEs in patients with baseline renal impairment is possible [10]. Findings from a single-center, retrospective study suggest that baseline chronic kidney disease (CKD) is a risk factor for hematotoxicity while on RLT [37]. Patients with hepatic metastasis (mainly those with very high liver burden or impairment [38]) may have an elevated risk of hepatotoxicity after RLT [10], though RLT may continue to be a safe option for these patients [39]. Regardless of tumor burden, baseline hepatic dysfunction may predict premature discontinuation of RLT [40].
Accordingly, a battery of laboratory tests related to bone marrow, renal, and hepatic functions should be conducted at baseline [7]. The timing of baseline assessments varies in clinical practice. Joint guidelines from the North American Neuroendocrine Tumor Society and Society of Nuclear Medicine and Molecular Imaging (NANETS/SNMMI) recommend checking laboratory values approximately two weeks before the first RLT cycle, which coincides with when the treatment is typically ordered [7]. Some institutions may also review laboratory values shortly before RLT infusion (e.g., 48 h).
The NANETS/SNMMI guidelines also provide recommended minimum threshold index values for bone marrow, renal, and hepatic function before proceeding with SSTR-targeted RLT (Table 2) [7]. These thresholds serve as a good starting point, but similar to the timing of labs, these are likely to vary by institution and require adaptation to the individual patient.

3. Considerations and Practical Guidance for Monitoring during and after RLT

3.1. Safety Monitoring: Laboratory and Clinical Assessments

Patients undergoing RLT may experience a neuroendocrine hormonal crisis that occurs during or within days of the infusion [41]. The incidence of neuroendocrine hormonal crisis was <1% in the ERASMUS trial of 177Lu-DOTATATE in patients with SSTR-positive tumors (n = 811) [10], which is consistent with what we have observed in practice. Although rare, patients need to be monitored for signs and symptoms of neuroendocrine hormonal crisis while undergoing RLT (Table 2).
Laboratory assessments during and after RLT are important for early identification and management of post-treatment sequelae. During RLT, the NANETS/SNMMI guidelines recommend laboratory testing two weeks before each cycle [7]. Depending on the institution, blood counts are typically conducted 4–6 weeks after each cycle as this may capture the expected nadir of blood counts and inform decisions about subsequent treatment modifications. After the completion of RLT, the NANETS/SNMMI guidelines recommend clinical evaluation and laboratory tests 2–4 weeks and 2 (lab tests only), 3, 6, and 12 months after completion of RLT as a best-case scenario, assuming no AEs [7].
Table 2. Safety and monitoring considerations for 177Lu-DOTATATE RLT in GEP-NETs.
Table 2. Safety and monitoring considerations for 177Lu-DOTATATE RLT in GEP-NETs.
Safety ConsiderationsIncidence (%)Time CourseGeneral RLT Monitoring ConsiderationsIndividual Patient Considerations a
Acute Reactions
Neuroendocrine hormonal crisis (carcinoid crisis)ERASMUS [10]
<1
Systematic review [42]
1–10		Most commonly occurs at cycle 1 during or within a day of the infusion [10,42]Signs and symptoms of tumor-related hormonal release should be monitored (e.g., flushing, diarrhea, hypotension, and bronchoconstriction) [10]In cases of severe neuroendocrine hormonal crisis (carcinoid crisis), hospital admission for closer monitoring/management may be required
Adverse events during and after RLT
Grade ≥3 myelosuppressionNETTER-1 [11]Transient in nature with resolution within 8 weeks for thrombocytopenia and neutropenia [7,11];
In NETTER-1, median time to platelet nadir was 5.1 weeks after the first dose and median time to platelet recovery was 2 months [10]		Baseline laboratory thresholds for RLT eligibility b:
  • Hemoglobin >8 g/dL;
  • White blood cell count >2000/mm3;
  • Platelet count >70,000/mm3 (or 75,000/mm3 if using CTCAE grading criteria thresholds);
Blood cell counts should be monitored after each RLT cycle [10]. The timing of blood testing varies in real-world practice, but every 4–6 weeks is reasonable to capture the nadir of blood counts;
It has been recommended that blood tests be performed 1, 3, 6, and 12 months after RLT completion and then at least yearly thereafter if results have been normal [7]		The cause of cytopenia should be considered when assessing RLT eligibility. For example, if reduced platelet counts are due to splenic sequestration, the patient could still be a viable RLT candidate;
Patients with abnormal blood tests should be monitored more closely (hematology consult, increased testing frequency) [7]
 Thrombocytopenia 2
 Anemia0
 Lymphopenia 9
 Leukopenia1
 Neutropenia1
Renal toxicity
 Grade ≥ 3 nephrotoxicity
 Grade ≥ 3 serum creatinine increase		NETTER-1 [11,43]
5
1		No therapy-related long-term renal failure in NETTER-1 [11,43] or ERASMUS [44];
at 5-year follow-up of NETTER-1, mean change from baseline for CrCL was similar between RLT and control groups [43]		Baseline laboratory thresholds for RLT eligibility: b eGFR < 50 mL/min/1.73 m2 not a contraindication [9]
eGFR < 30 mL/min/1.73 m2 (use only in exceptional circumstances) [9]. Serum creatinine and CrCL should be monitored when patients are on RLT [10];
It has been recommended that serum creatinine/eGFR be assessed at 1, 3, 6, and 12 months after RLT completion and then at least yearly thereafter if results have been normal [7]		Risk factors for renal toxicity include hypertension, diabetes, and pre-existing RI [10,45];
Patients with mild or moderate RI should have more frequent renal assessments [10]
Hepatotoxicity
 Hepatic tumor hemorrhage, edema, or necrosis		ERASMUS [44]
<1 [10]		ERASMUS [44]
No therapy-related long-term hepatic failure		Laboratory thresholds for RLT eligibility b:
  • Total bilirubin ≤3 × ULN;
  • Serum albumin >3.0 g/dL
During RLT, transaminases, bilirubin, and serum albumin should be monitored [10];
It has been recommended that liver panels be assessed at 1, 3, 6, and 12 months after RLT completion and then at least yearly thereafter if results have been normal [7]		Anatomic imaging can help determine if elevated bilirubin is due to biliary obstruction rather than RLT-induced toxicity;
Hepatotoxicity may be more common in patients with extensive hepatic metastases [46] or prior SIRT [47,48]
Long-term safety considerations
MDS and leukemiaNETTER-1 [11,43]
MDS: 1.8
Leukemia: 0
ERASMUS [44]
MDS: 1.5
Leukemia: 0.7
Systematic review [49]
RLT-related myeloid neoplasm: 2.61		In NETTER-1, 2 cases of MDS occurred at 8 and 14 months after first RLT dose—no new cases of MDS or leukemia were reported during long-term follow-up [43];
in ERASMUS, acute leukemia and MDS occurred after median follow-up durations of 55 and 28 months, respectively [44]		No robust pre-emptive monitoring optionsRisk factors for MDS/leukemia include prior chemotherapy and radiotherapy (including SIRT) [50];
Patients with persistent cytopenias merit closer monitoring (hematology consult; increased testing frequency) [7]
a In general, frequency of monitoring should be tailored to the risk of progressive disease (tumor grade and bulk), functional status, and concern for post-RLT adverse events [7]. b Laboratory thresholds are those recommended by the NANETS/SNMMI Procedure Standard for RLT with 177Lu-DOTATATE; these guidelines state that the thresholds should be considered as general RLT eligibility criteria [7]. 177Lu = lutetium-177; CrCL = creatinine clearance; CTCAE = Common Terminology Criteria for Adverse Events; eGFR = estimated glomerular filtration rate; MDS = myelodysplastic syndrome; NANETS = North American Neuroendocrine Tumor Society; RI = renal impairment; RLT = radioligand therapy; SIRT = selective internal radiation therapy; SNMMI = Society of Nuclear Medicine and Molecular Imaging; ULN = upper limit of normal.

3.2. Anatomic and Functional Imaging for Assessment of Response and Disease Progression

Precise monitoring and prediction of tumor response to SSTR-targeted RLT is one of the most challenging issues facing clinicians; the heterogeneity and variable progression patterns of GEP-NETs coupled with a lack of large-scale prospective and longitudinal imaging data are the main contributory factors [8]. Unfortunately, standardized response criteria based on anatomic imaging are not optimal for GEP-NETs, and there are no guidelines for the determination of response based on SSTR PET imaging. For these reasons, clinicians are guided by their institutional approach when choosing patient-tailored imaging strategies. From a practical standpoint, it makes sense for imaging scans to be obtained at a single institution and for the same protocols (especially in regard to contrast timing) to be used from diagnosis to follow-up in order to ensure consistency and reproducibility. Considerations for using imaging to assess response and disease progression are summarized in the subsequent sections and in Table 3.

3.2.1. Anatomic Imaging

Anatomic imaging using CT and/or MRI continues to be a central and standard component of routine monitoring to assess response and identify disease progression post-RLT. This is reflected by its incorporation into clinical guidelines, including those specifically for RLT (NANETS/SNMMI) [7].
There are several considerations for the use of anatomic imaging to assess response and identify disease progression. Depending on the suspected site of disease, either CT or MRI may be preferred; CT is advantageous to evaluate the lungs and peritoneal disease, whereas MRI is superior for the evaluation of liver metastases. For example, MRI offers two very sensitive sequences for detection of hepatic metastases: diffusion-weighted imaging (particularly helpful for patients who cannot receive contrast agents) and delayed-phase imaging with a hepatobiliary contrast agent (the most sensitive MRI sequence to detect hepatic metastases) [51,52,53].
Multiphasic and contrast-enhanced techniques should be used for accurate detection of certain GEP-NETs (e.g., pancreatic and liver lesions) [8]. The arterial phase is important since most GEP-NETs (i.e., pancreatic primary or hepatic metastases) show arterial enhancement and are better detected with this phase. However, lesions are occasionally hypoenhancing and are better seen in subsequent phases. Most CTs currently conducted in real-world practice are single-phase and, in our experience, of limited sensitivity for hepatic metastases, underscoring the value of MRI in such situations.
Another consideration is the timing of serial anatomic imaging relative to RLT cycles. The NANETS/SNMMI guidelines recommend diagnostic imaging at 1–3, 6, and 12 months after the completion of all RLT cycles and then as clinically indicated [7]. This frequency can be modified based on individual patient and disease factors (e.g., tumor grade, tumor burden, patient preference, insurance coverage, etc.) [8]. There is also a question of whether anatomic imaging can be used during the RLT treatment period to inform changes in management. In the phase three NETTER-1 study, anatomic imaging was used to assess response to RLT midway through treatment (midpoint imaging) and after treatment completion [11]. It remains unclear from the limited data if early imaging adds value. For example, midpoint imaging (primarily with CT or MRI) rarely changed subsequent clinical management in a single-center retrospective study [54]. Midpoint imaging also has the potential to be confounded by transient, RLT-induced increases in lesion diameter. This phenomenon, known as pseudoprogression, is thought to be caused by radiogenic edema and inflammation [55]. Despite the uncertainty, midpoint imaging may prove beneficial for patients at high risk of progression who merit more extensive monitoring (e.g., patients with high-grade or previously clinically aggressive disease), and additional studies in this population may be warranted.
Finally, limitations of response criteria for the evaluation of response and disease progression in the GEP-NET setting require consideration. Tumor burden is typically assessed according to the Response Evaluation Criteria in Solid Tumors (RECIST). RECIST criteria are based on measurements of structural changes in tumor tissue using measurements obtained via CT/MRI. Use of RECIST in the GEP-NET setting has several well-established drawbacks (Table 3) [56] but remains the standard. Chief among these drawbacks is the heterogeneity in tumor biology observed at different anatomical sites, slow tumor growth (which may lead to the misclassification of progressive disease as stable disease), and lack of account for osseous lesions, as well as tissue characteristics such as tumor density and degree of enhancement. Given these limitations, alternative response criteria, such as Choi criteria, have been proposed. Choi criteria consider tumor density and require less change in tumor size to consider disease progression or response, and may be more appropriate for GEP-NETs than RECIST [15,57], but these criteria have not been validated for routine implementation in this setting.

3.2.2. SSTR-Targeted Imaging

Clinical guidelines consider SSTR PET imaging appropriate for monitoring disease that cannot be reliably detected by anatomic imaging but can be readily seen on SSTR PET and for restaging patients after completion of SSTR-targeted RLT [6]. The rationale for these guidelines is that SSTR PET is more sensitive than anatomic imaging in certain scenarios (e.g., bone metastases) [6]. For example, in a retrospective study of RLT response evaluation methods, Huizing et al. found that at three months post RLT completion, 10% of patients had new lesions visible on SSTR PET/CT but not anatomic imaging [58]. A few studies have also found correlations between post-RLT SSTR PET imaging parameters and subsequent patient outcomes, but these metrics have not been prospectively validated (Table 4) [14,15,34,36,54,58,59,60,61,62].
Despite guideline support for the use of SSTR PET for monitoring disease predominantly seen on SSTR PET and for restaging after RLT completion, the optimal timing of SSTR-targeted imaging in relation to therapy is unclear. Practices range from 3–6 months to 9–12 months, and as with midpoint anatomic imaging, the value of midpoint SSTR PET imaging in predicting responses to RLT or other clinical outcomes remains not yet understood (Table 4) [14,15,34,36,54,58,59,60,61,62,63,64].
Some challenges and pitfalls have emerged from using SSTR PET for response assessment, in addition to those seen when using SSTR PET for patient selection (reviewed in Galgano et al.) [8]. First, changes in SSTR avidity may not necessarily be due to tumor growth or shrinkage but may instead be the result of other biological processes (e.g., de-differentiation) or the effects of other treatments (e.g., somatostatin analogs, chemotherapy) [8]. Second, changes in SSTR avidity may not be indicative of the overall response to treatment if there is considerable heterogeneity of SSTR expression within and across lesions [8,65]. Finally, there are neither standardized SSTR PET response criteria nor high-level prospective data to guide clinicians in the interpretation of SSTR PET imaging after RLT.
Clinical experience with RLT and SSTR PET has accumulated sufficiently to inform practical guidance and best practices. We agree with recent guidance from Galgano et al., which noted that disease progression should not be determined by minute changes in SUV on SSTR PET alone [8]. Clinicians should consider the patient’s clinical history and insights from complementary anatomic and functional imaging. 2-[18F]FDG PET/CT can be used to resolve discordant findings between morphologic imaging and SSTR imaging findings [46], particularly when high-grade or SSTR-negative disease is suspected. For patients receiving RLT, FDG-positivity has been shown to correlate with reduced overall survival, ref. [66] demonstrating the prognostic value of 2-[18F]FDG PET/CT imaging and its potential added utility to SSTR PET [32]. Until more robust data are obtained, and consensus is reached on optimal imaging and response assessment criteria, we recommend that the radiologic work-up strive to be reproducible and that caution be taken when attempting to interpret subtle changes in uptake on SSTR PET.
Table 4. Select studies that have investigated the utility of SSTR imaging protocols for response assessment and prediction of clinical outcomes in patients with NETs treated with RLT.
Table 4. Select studies that have investigated the utility of SSTR imaging protocols for response assessment and prediction of clinical outcomes in patients with NETs treated with RLT.
Study, ReferenceStudy DesignNo. and Type of PatientsType and Schedule of SSTR ImagingResults
Interim SSTR Imaging (between the First and Last Cycles of RLT)
Haug et al., 2010 [59]Single-center 33 patients with well-differentiated metastatic NETs and eligible for RLTWhole-body 68Ga-DOTATATE PET/CT scans at baseline
and 3 months after the first RLT
cycle		Changes in uptake on 68Ga-DOTATATE PET/CT predicted TTP and clinical improvement in symptoms
Mahajan et al., 2019 [61]Single-center, retrospective 16 patients with metastatic NETsPlanar whole-body scan for gamma emission 3 h post RLT injectionEarly post-RLT quality assurance scans were used to confirm successful administration of therapy and assess physiologic biodistribution of RLT
Ortega et al., 2021 [34]Multi-center, prospective 91 patients with progressive NETs and adequate expression of SSTR2Baseline and interim 68Ga-DOTATATE PET/CT before second cycle of RLTInterim quantitative metrics of SSTR2 expression and tumor heterogeneity did not correlate with PFS
Norman et al., 2021 [54]Single-center, retrospective 113 patients with advanced, progressive GEP-NETsMidpoint imaging before RLT cycles
2, 3, or 4 with 68Ga-DOTATATE PET/MRI, FDG PET/MRI, MRI, or CT		Midpoint imaging rarely changed subsequent clinical management
Durmo et al., 2022 [36]Single-center, retrospective 46 patients with unresectable, metastatic NETs and adequate SSTR2 expression68Ga-DOTATOC PET/CT at baseline and after 2 RLT cycles (interim) Change from baseline in semiquantitative and volumetric PET metrics had no association with RLT response or OS
Heying et al., 2022 [64]Single-center, retrospective105 patients with SSTR-expressing NETs68Ga-DOTATATE PET/CT PET/MRI after 2 cycles of RLT Interim 68Ga-DOTATATE PET was more accurate than RECIST in assessing treatment response during RLT
Zwirtz et al., 2022 [15]Single-center, retrospective34 patients with progressive grade 1 or 2 NETs treated with RLT68Ga-DOTATATE PET/CT or 68Ga-DOTATOC PET/CT before RLT, after the 1st and 2nd cycles, and within 3 months of RLT completionPatients showing ≥25% increase in the sum of SUVmax or ≥1 new lesion after 2 RLT cycles had worse OS
SSTR imaging after RLT completion
Gabriel et al., 2009 [14]Single-center, prospective 46 patients with advanced NETs and evidence of SSTR expression68Ga-DOTATOC
PET with CT or MRI before RLT and after the last therapy cycle		Whole-body 68Ga-DOTATOC PET at end of RLT was useful for early assessment of progressive disease
Kong et al., 2014 [60]Single-center, retrospective 68 patients with NETs and uncontrolled symptomatic disease or progressive disease111In-octreotide SPECT or 68Ga-octreotate PET imaging 3–6, 6–12, and >12 months after the last RLT cycle Patients with an SSTR imaging response (decrease in uptake relative to hepatic and splenic activity) had longer OS than those that did not
Huizing et al., 2020 [60]Single-center, retrospective 44 patients with well-differentiated NETs and sufficient SSTR expressionCT/MRI, 68Ga-DOTATATE PET/CT, and serum CgA before, and 3 and 9 months after RLT68Ga-DOTATATE PET/CT detected new lesions compared with baseline earlier than anatomical imaging, but changes in quantitative 68Ga-DOTATATE uptake parameters after RLT were not associated with OS
Opalinska et al., 2022 [62]Single-center, retrospective 12 patients with advanced NETs eligible for RLT68Ga-DOTATATE PET/CT at baseline and every 3–6 months after RLT completionChange from baseline in post-RLT corrected SUVmax metrics correlated with clinical response
68Ga = gallium-68; 111In = indium-111; CT = computed tomography; CgA = chromogranin A; MRI = magnetic resonance imaging; NET = neuroendocrine tumor; OS = overall survival; PET = positron emission tomography; PFS = progression-free survival; RLT = radioligand therapy; SSTR = somatostatin receptor; SSTR2 = somatostatin receptor type 2; SUVmax = maximum standardized uptake value.

4. The Role of Circulating Biomarkers and Quality of Life/Patient Symptom Assessments

Clinicians frequently assess circulating biomarkers such as chromogranin A. GEP-NET guidelines and consensus statements do not recommend the general use of these biomarkers for clinical surveillance because of their limited accuracy; insufficient amount of quality data; lack of impact on management decisions; and/or absence of consensus on guideline panels (Table 3) [67,68,69]. We affirm these guidelines and do not recommend routine monitoring of nonspecific circulating biomarkers. Patients with functional pancreatic NETs have elevated plasma levels of functional neuropeptides (e.g., insulin, gastrin), and these specific biomarkers should be monitored before and after treatment to aid assessments of treatment response and disease progression [67]. Serial measurements of plasma or urine 5-HIAA may also be reasonable in patients with small intestinal NETs with carcinoid syndrome, but these probably do not need to be done more often than every 12 months.
There has been interest in the NETest and the peptide receptor radionuclide therapy predictive quotient (PPQ). The NETest is a multigene assay based on circulating NET-specific gene transcripts [70]. The PPQ is a prediction classifier that integrates circulating gene transcript signatures with tumor grade [71]. Clinical studies have demonstrated the potential of the PPQ to predict response to RLT and the NETest to serve as a surrogate biomarker of response to RLT [71,72,73]. Although these tests are promising, they remain investigational until prospectively validated as biomarkers in RLT clinical trials.
Analyses of clinical trial and real-world studies have shown that RLT provides quality of life benefits for patients with GEP-NETs [74,75,76] and improves symptoms associated with the disease [74,75,76,77,78]. Clinicians should track patient disease-related and carcinoid symptoms throughout the course of RLT to better evaluate responses and benefits from therapy and determine if any increase in symptoms is being caused by disease recurrence.

5. Conclusions

The practical guidance provided in this review is largely based on our individual and collective experiences with 177Lu-DOTATATE administered per the approved protocol [10] in patients with well-differentiated, G1 and G2 GEP-NETs. Due to the extensive heterogeneity of the disease, there is no “one size fits all” approach and plans must be customized for each individual patient.
The RLT treatment landscape for GEP-NETs is likely to evolve along several dimensions, including novel RLT-based combination therapies [79], targeted alpha-particle therapy [80], RLT retreatment [81], tailored RLT based on dosimetry [82], and use in patients with G3 disease (Table 5). If validated and established in the clinic, these RLT strategies will impact the monitoring and clinical surveillance of patients with GEP-NETs. For example, the type and frequency of laboratory monitoring may need to be adjusted based on the risk of AEs expected for a given combination therapy or therapeutic radioisotope.
Together with innovations in treatment, diagnostic advances in SSTR PET imaging interpretation and novel biomarkers for pre- and post-RLT disease assessments may also drive new opportunities for RLT patient monitoring. Research into quantitative SSTR uptake parameters is ongoing, with some promising results that require validation in prospective studies [62,83]. In the future, imaging may be supplemented by tracking specific biomarkers when appropriate.

Author Contributions

Authors confirm that they have met the ICMJE authorship criteria and that no one who would qualify for authorship has been excluded. Conceptualization, T.R.H., N.M., S.P., C.C., M.N., A.T.K. and H.F.K.; writing—original draft, T.R.H., N.M., S.P., C.C., M.N., A.T.K. and H.F.K.; writing—review and editing, T.R.H., N.M., S.P., C.C., M.N., A.T.K. and H.F.K. All authors have read and agreed to the published version of the manuscript.

Funding

Novartis Pharmaceuticals Incorporation provided funding for medical writing assistance.

Acknowledgments

Malcolm Darkes, (Ashfield MedComms, an Inizio Company) provided medical writing assistance, which was funded by Novartis Pharmaceuticals Corporation. This manuscript was developed in accordance with Good Publication Practice (GPP) guidelines. Authors had full control of the content and made the final decision on all aspects of this article.

Conflicts of Interest

Thorvardur R. Halfdanarson: reports research funding from Thermo Fisher Scientific, Basilea, Advanced Accelerator Applications (a Novartis Company), Agios, and Turnstone Biologics; and consulting/advisory fees from Advanced Accelerator Applications (a Novartis Company), Ipsen, ITM Isotopen Technologien Muenchen, Crinetics, Viewpoint Molecular Targeting (fees to institution), Terumo, Curium, and TerSera. Ayse Tuba Kendi: reports research funding and advisory board participation with Novartis, Inc. Nadine Mallak: reports advisory board participation for Lantheus and receipt of grant funding from Blue Earth Diagnostics, Inc., and Progenics Pharmaceuticals, Inc. Scott Paulson: reports stock and other ownership interests with Actinium, Alexion Pharmaceuticals, and Lyn Health; honoraria from Cardinal Health; consulting or advisory roles with AADi, Advanced Accelerator Applications, Amgen, Astellas Pharma, AstraZeneca, Bristol Myers Squibb, Eisai, EMD Serono, Exelixis, Hutchinson, Incyte, Ipsen, Lilly Pharmaceuticals, Mirati, Novartis, Pfizer, QED Pharmaceuticals, Servier, and Stromatis Pharma; speakers’ bureau participation with Ideo Oncology; travel accommodations/expenses from AADi, Camurus, Mirati, Nucana, and Pfizer; research funding from Buzzard Pharmaceuticals; and research funding to institution from Ipsen, Bristol Myers Squibb, Exelixis, Hutchinson, Taiho Pharmaceutical, Lilly, AstraZeneca, Incyte, Deciphera, G1 Therapeutics, Zentalis, Tempus, Camurus, Relay Therapeutics, Nucana, Merck, Bayer, Seattle Genetics, Sotio, Innovative Cellular Therapeutics Co., Regenxbio, Gilead Sciences, Gritstone Bio, BioNTech SE, Novartis, TransThera Biosciences, ITM Oncologics, and Inspirna. Chandrikha Chandrasekharan: declares no conflicts of interest. Mona Natwa: declares no conflicts of interest. Hagen Kennecke: reports advisory fees from Novartis and Tersera and research funding from Exelixis, Novartis, and Taiho.

References

  1. Dasari, A.; Shen, C.; Halperin, D.; Zhao, B.; Zhou, S.; Xu, Y.; Shih, T.; Yao, J.C. Trends in the incidence, prevalence, and survival outcomes in patients with neuroendocrine tumors in the United States. JAMA Oncol. 2017, 3, 1335–1342. [Google Scholar] [CrossRef]
  2. Xu, Z.; Wang, L.; Dai, S.; Chen, M.; Li, F.; Sun, J.; Luo, F. Epidemiologic trends of and factors associated with overall survival for patients with gastroenteropancreatic neuroendocrine tumors in the United States. JAMA Netw. Open 2021, 4, e2124750. [Google Scholar] [CrossRef]
  3. Dasari, A.; Shen, C.; Devabhaktuni, A.; Nighot, R.; Sorbye, H. Survival According to Primary Tumor Location, Stage, and Treatment Patterns in Locoregional Gastroenteropancreatic High-grade Neuroendocrine Carcinomas. Oncologist 2022, 27, 299–306. [Google Scholar] [CrossRef] [PubMed]
  4. Reubi, J.C.; Waser, B. Concomitant expression of several peptide receptors in neuroendocrine tumours: Molecular basis for in vivo multireceptor tumour targeting. Eur. J. Nucl. Med. Mol. Imaging 2003, 30, 781–793. [Google Scholar] [CrossRef] [PubMed]
  5. Chauhan, A.; Del Rivero, J.; Ramirez, R.A.; Soares, H.P.; Li, D. Treatment Sequencing Strategies in Advanced Neuroendocrine Tumors: A Review. Cancers 2022, 14, 5248. [Google Scholar] [CrossRef] [PubMed]
  6. Hope, T.A. Updates to the Appropriate-Use Criteria for Somatostatin Receptor PET. J. Nucl. Med. 2020, 61, 1764. [Google Scholar] [CrossRef]
  7. Hope, T.A.; Abbott, A.; Colucci, K.; Bushnell, D.L.; Gardner, L.; Graham, W.S.; Lindsay, S.; Metz, D.C.; Pryma, D.A.; Stabin, M.G.; et al. NANETS/SNMMI procedure standard for somatostatin receptor-based peptide receptor radionuclide therapy with (177)Lu-DOTATATE. J. Nucl. Med. 2019, 60, 937–943. [Google Scholar] [CrossRef]
  8. Galgano, S.J.; Iravani, A.; Bodei, L.; El-Haddad, G.; Hofman, M.S.; Kong, G. Imaging of neuroendocrine neoplasms: Monitoring treatment response-AJR Expert Panel narrative review. AJR Am. J. Roentgenol. 2022, 218, 767–780. [Google Scholar] [CrossRef]
  9. Hope, T.A.; Bodei, L.; Chan, J.A.; El-Haddad, G.; Fidelman, N.; Kunz, P.L.; Mailman, J.; Menda, Y.; Metz, D.C.; Mittra, E.S.; et al. NANETS/SNMMI consensus statement on patient selection and appropriate use of (177)Lu-DOTATATE peptide receptor radionuclide therapy. J. Nucl. Med. 2020, 61, 222–227. [Google Scholar] [CrossRef]
  10. LUTATHERA. (Lutetium Lu 177 Dotatate) Injection for Intravenous Use. Prescribing Information. Advanced Accelerator Applications USA, Inc. 2022. Available online: https://www.novartis.com/us-en/sites/novartis_us/files/lutathera.pdf (accessed on 6 October 2022).
  11. Strosberg, J.; El-Haddad, G.; Wolin, E.; Hendifar, A.; Yao, J.; Chasen, B.; Mittra, E.; Kunz, P.L.; Kulke, M.H.; Jacene, H.; et al. Phase 3 trial of (177)Lu-Dotatate for midgut neuroendocrine tumors. N. Engl. J. Med. 2017, 376, 125–135. [Google Scholar] [CrossRef]
  12. Hope, T.A.; Calais, J.; Zhang, L.; Dieckmann, W.; Millo, C. (111)In-Pentetreotide Scintigraphy Versus (68)Ga-DOTATATE PET: Impact on Krenning Scores and Effect of Tumor Burden. J. Nucl. Med. 2019, 60, 1266–1269. [Google Scholar] [CrossRef] [PubMed]
  13. Iravani, A.; Parihar, A.S.; Akhurst, T.; Hicks, R.J. Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms. Cancer Imaging 2022, 22, 25. [Google Scholar] [CrossRef]
  14. Gabriel, M.; Oberauer, A.; Dobrozemsky, G.; Decristoforo, C.; Putzer, D.; Kendler, D.; Uprimny, C.; Kovacs, P.; Bale, R.; Virgolini, I.J. 68Ga-DOTA-Tyr3-octreotide PET for assessing response to somatostatin-receptor-mediated radionuclide therapy. J. Nucl. Med. 2009, 50, 1427–1434. [Google Scholar] [CrossRef] [PubMed]
  15. Zwirtz, K.; Hardt, J.; Acker, G.; Baur, A.D.J.; Pavel, M.; Huang, K.; Brenner, W.; Prasad, V. Comparison of Choi, RECIST and Somatostatin Receptor PET/CT Based Criteria for the Evaluation of Response and Response Prediction to PRRT. Pharmaceutics 2022, 14, 1278. [Google Scholar] [CrossRef]
  16. Graf, J.; Pape, U.F.; Jann, H.; Denecke, T.; Arsenic, R.; Brenner, W.; Pavel, M.; Prasad, V. Prognostic Significance of Somatostatin Receptor Heterogeneity in Progressive Neuroendocrine Tumor Treated with Lu-177 DOTATOC or Lu-177 DOTATATE. Eur. J. Nucl. Med. Mol. Imaging 2020, 47, 881–894. [Google Scholar] [CrossRef]
  17. Kratochwil, C.; Stefanova, M.; Mavriopoulou, E.; Holland-Letz, T.; Dimitrakopoulou-Strauss, A.; Afshar-Oromieh, A.; Mier, W.; Haberkorn, U.; Giesel, F.L. SUV of [68Ga]DOTATOC-PET/CT Predicts Response Probability of PRRT in Neuroendocrine Tumors. Mol. Imaging Biol. 2015, 17, 313–318. [Google Scholar] [CrossRef] [PubMed]
  18. Oksuz, M.O.; Winter, L.; Pfannenberg, C.; Reischl, G.; Mussig, K.; Bares, R.; Dittmann, H. Peptide receptor radionuclide therapy of neuroendocrine tumors with (90)Y-DOTATOC: Is treatment response predictable by pre-therapeutic uptake of (68)Ga-DOTATOC? Diagn. Interv. Imaging 2014, 95, 289–300. [Google Scholar] [CrossRef]
  19. Werner, R.A.; Lapa, C.; Ilhan, H.; Higuchi, T.; Buck, A.K.; Lehner, S.; Bartenstein, P.; Bengel, F.; Schatka, I.; Muegge, D.O.; et al. Survival prediction in patients undergoing radionuclide therapy based on intratumoral somatostatin-receptor heterogeneity. Oncotarget 2017, 8, 7039–7049. [Google Scholar] [CrossRef]
  20. Wetz, C.; Apostolova, I.; Steffen, I.G.; Hofheinz, F.; Furth, C.; Kupitz, D.; Ruf, J.; Venerito, M.; Klose, S.; Amthauer, H. Predictive Value of Asphericity in Pretherapeutic [(111)In]DTPA-Octreotide SPECT/CT for Response to Peptide Receptor Radionuclide Therapy with [(177)Lu]DOTATATE. Mol. Imaging Biol. 2017, 19, 437–445. [Google Scholar] [CrossRef]
  21. Deppen, S.A.; Blume, J.; Bobbey, A.J.; Shah, C.; Graham, M.M.; Lee, P.; Delbeke, D.; Walker, R.C. 68Ga-DOTATATE Compared with 111In-DTPA-Octreotide and Conventional Imaging for Pulmonary and Gastroenteropancreatic Neuroendocrine Tumors: A Systematic Review and Meta-Analysis. J. Nucl. Med. 2016, 57, 872–878. [Google Scholar] [CrossRef] [PubMed]
  22. Graham, M.M.; Gu, X.; Ginader, T.; Breheny, P.; Sunderland, J.J. (68)Ga-DOTATOC Imaging of Neuroendocrine Tumors: A Systematic Review and Metaanalysis. J. Nucl. Med. 2017, 58, 1452–1458. [Google Scholar] [CrossRef] [PubMed]
  23. Johnbeck, C.B.; Knigge, U.; Loft, A.; Berthelsen, A.K.; Mortensen, J.; Oturai, P.; Langer, S.W.; Elema, D.R.; Kjaer, A. Head-to-Head Comparison of (64)Cu-DOTATATE and (68)Ga-DOTATOC PET/CT: A Prospective Study of 59 Patients with Neuroendocrine Tumors. J. Nucl. Med. 2017, 58, 451–457. [Google Scholar] [CrossRef] [PubMed]
  24. Poeppel, T.D.; Binse, I.; Petersenn, S.; Lahner, H.; Schott, M.; Antoch, G.; Brandau, W.; Bockisch, A.; Boy, C. 68Ga-DOTATOC versus 68Ga-DOTATATE PET/CT in functional imaging of neuroendocrine tumors. J. Nucl. Med. 2011, 52, 1864–1870. [Google Scholar] [CrossRef] [PubMed]
  25. Velikyan, I.; Sundin, A.; Sorensen, J.; Lubberink, M.; Sandstrom, M.; Garske-Roman, U.; Lundqvist, H.; Granberg, D.; Eriksson, B. Quantitative and qualitative intrapatient comparison of 68Ga-DOTATOC and 68Ga-DOTATATE: Net uptake rate for accurate quantification. J. Nucl. Med. 2014, 55, 204–210. [Google Scholar] [CrossRef]
  26. Hofman, M.S.; Lau, W.F.; Hicks, R.J. Somatostatin receptor imaging with 68Ga DOTATATE PET/CT: Clinical utility, normal patterns, pearls, and pitfalls in interpretation. Radiographics 2015, 35, 500–516. [Google Scholar] [CrossRef]
  27. Ambrosini, V.; Zanoni, L.; Filice, A.; Lamberti, G.; Argalia, G.; Fortunati, E.; Campana, D.; Versari, A.; Fanti, S. Radiolabeled Somatostatin Analogues for Diagnosis and Treatment of Neuroendocrine Tumors. Cancers 2022, 14, 1055. [Google Scholar] [CrossRef]
  28. Al-Ibraheem, A.; Bundschuh, R.A.; Notni, J.; Buck, A.; Winter, A.; Wester, H.J.; Schwaiger, M.; Scheidhauer, K. Focal uptake of 68Ga-DOTATOC in the pancreas: Pathological or physiological correlate in patients with neuroendocrine tumours? Eur. J. Nucl. Med. Mol. Imaging 2011, 38, 2005–2013. [Google Scholar] [CrossRef]
  29. Krausz, Y.; Rubinstein, R.; Appelbaum, L.; Mishani, E.; Orevi, M.; Fraenkel, M.; Tshori, S.; Glaser, B.; Bocher, M.; Salmon, A.; et al. Ga-68 DOTA-NOC uptake in the pancreas: Pathological and physiological patterns. Clin. Nucl. Med. 2012, 37, 57–62. [Google Scholar] [CrossRef]
  30. Kroiss, A.; Putzer, D.; Decristoforo, C.; Uprimny, C.; Warwitz, B.; Nilica, B.; Gabriel, M.; Kendler, D.; Waitz, D.; Widmann, G.; et al. 68Ga-DOTA-TOC uptake in neuroendocrine tumour and healthy tissue: Differentiation of physiological uptake and pathological processes in PET/CT. Eur. J. Nucl. Med. Mol. Imaging 2013, 40, 514–523. [Google Scholar] [CrossRef]
  31. Tabacchi, E.; Fortunati, E.; Argalia, G.; Zanoni, L.; Calabro, D.; Telo, S.; Campana, D.; Lamberti, G.; Ricci, C.; Casadei, R.; et al. [68Ga]Ga-DOTANOC Uptake at Pancreatic Head/Uncinate Process: Is It a Persistent Diagnostic Pitfall Over Time? Cancers 2022, 14, 3541. [Google Scholar] [CrossRef]
  32. Chan, D.L.; Hayes, A.R.; Karfis, I.; Conner, A.; Furtado O’Mahony, L.; Mileva, M.; Bernard, E.; Roach, P.; Marin, G.; Pavlakis, N.; et al. Dual [(68)Ga]DOTATATE and [(18)F]FDG PET/CT in patients with metastatic gastroenteropancreatic neuroendocrine neoplasms: A multicentre validation of the NETPET score. Br. J. Cancer 2023, 128, 549–555. [Google Scholar] [CrossRef]
  33. Chan, D.L.; Ulaner, G.A.; Pattison, D.; Wyld, D.; Ladwa, R.; Kirchner, J.; Li, B.T.; Lai, W.V.; Pavlakis, N.; Roach, P.J.; et al. Dual PET Imaging in Bronchial Neuroendocrine Neoplasms: The NETPET Score as a Prognostic Biomarker. J. Nucl. Med. 2021, 62, 1278–1284. [Google Scholar] [CrossRef]
  34. Ortega, C.; Wong, R.K.S.; Schaefferkoetter, J.; Veit-Haibach, P.; Myrehaug, S.; Juergens, R.; Laidley, D.; Anconina, R.; Liu, A.; Metser, U. Quantitative (68)Ga-DOTATATE PET/CT Parameters for the Prediction of Therapy Response in Patients with Progressive Metastatic Neuroendocrine Tumors Treated with (177)Lu-DOTATATE. J. Nucl. Med. 2021, 62, 1406–1414. [Google Scholar] [CrossRef]
  35. Metser, U.; Eshet, Y.; Ortega, C.; Veit-Haibach, P.; Liu, A.; Wong, R.K.S. The association between lesion tracer uptake on 68Ga-DOTATATE PET with morphological response to 177Lu-DOTATATE therapy in patients with progressive metastatic neuroendocrine tumors. Nucl. Med. Commun. 2022, 43, 73–77. [Google Scholar] [CrossRef] [PubMed]
  36. Durmo, R.; Filice, A.; Fioroni, F.; Cervati, V.; Finocchiaro, D.; Coruzzi, C.; Besutti, G.; Fanello, S.; Frasoldati, A.; Versari, A. Predictive and Prognostic Role of Pre-Therapy and Interim 68Ga-DOTATOC PET/CT Parameters in Metastatic Advanced Neuroendocrine Tumor Patients Treated with PRRT. Cancers 2022, 14, 592. [Google Scholar] [CrossRef] [PubMed]
  37. Manohar, S.; Kompotiatis, P.; Halfdanarson, T.R.; Hobday, T.J.; Thorpe, M.; Johnson, G.B.; Kendi, A.T.; Leung, N. 177Lu-dotatate use in chronic kidney disease patients: A single center experience. J. Onco-Nephrol. 2021, 5, 162–171. [Google Scholar] [CrossRef]
  38. Gococo-Benore, D.A.; Parent, E.; Sharma, A.; Accurso, J.; Yang, M.; Kendi, A.T.; Sonbol, B.; Halfdanarson, T.R.; Starr, J.S. Hepatotoxicity from peptide receptor radionuclide therapy (PRRT) in neuroendocrine tumors (NETs) patients with very high tumor burden [Abstract C40]. In Proceedings of the NANETS 2021 Symposium Abstracts, Chicago, IL, USA, 4–6 November 2021. [Google Scholar]
  39. Gococo-Benore, D.A.; Kuhlman, J.; Parent, E.E.; Sharma, A.; Accurso, J.; Yang, M.; Kendi, A.T.; Johnson, G.; Sonbol, M.B.; Hobday, T.; et al. Evaluation of Hepatotoxicity from Peptide Receptor Radionuclide Therapy in Patients with Gastroenteropancreatic Neuroendocrine Tumors and a Very High Liver Tumor Burden. J. Nucl. Med. 2023, 64, 880–884. [Google Scholar] [CrossRef]
  40. Heckert, J.M.; Kipnis, S.T.; Kumar, S.; Botterbusch, S.; Alderson, A.; Bennett, B.; Creamer, C.; Eads, J.R.; Soulen, M.C.; Pryma, D.A.; et al. Abnormal Pretreatment Liver Function Tests Are Associated with Discontinuation of Peptide Receptor Radionuclide Therapy in a U.S.-Based Neuroendocrine Tumor Cohort. Oncologist 2020, 25, 572–578. [Google Scholar] [CrossRef]
  41. Li, M.; Chan, D.L.; Tapia Rico, G.; Cehic, G.; Lawrence, B.; Wyld, D.; Pattison, D.A.; Kong, G.; Hicks, R.; Michael, M.; et al. Australasian consensus statement on the identification, prevention and management of hormonal crises in patients with neuroendocrine neoplasms (NENs) undergoing peptide receptor radionuclide therapy (PRRT). Neuroendocrinology 2023, 113, 281–288. [Google Scholar] [CrossRef]
  42. Del Olmo-Garcia, M.I.; Muros, M.A.; Lopez-de-la-Torre, M.; Agudelo, M.; Bello, P.; Soriano, J.M.; Merino-Torres, J.F. Prevention and Management of Hormonal Crisis during Theragnosis with LU-DOTA-TATE in Neuroendocrine Tumors. A Systematic Review and Approach Proposal. J. Clin. Med. 2020, 9, 2203. [Google Scholar] [CrossRef]
  43. Strosberg, J.R.; Caplin, M.E.; Kunz, P.L.; Ruszniewski, P.B.; Bodei, L.; Hendifar, A.; Mittra, E.; Wolin, E.M.; Yao, J.C.; Pavel, M.E.; et al. (177)Lu-Dotatate plus long-acting octreotide versus high dose long-acting octreotide in patients with midgut neuroendocrine tumours (NETTER-1): Final overall survival and long-term safety results from an open-label, randomised, controlled, phase 3 trial. Lancet Oncol. 2021, 22, 1752–1763. [Google Scholar] [CrossRef]
  44. Brabander, T.; van der Zwan, W.A.; Teunissen, J.J.M.; Kam, B.L.R.; Feelders, R.A.; de Herder, W.W.; van Eijck, C.H.J.; Franssen, G.J.H.; Krenning, E.P.; Kwekkeboom, D.J. Long-term efficacy, survival, and safety of [(177)Lu-DOTA(0),Tyr(3)]octreotate in patients with gastroenteropancreatic and bronchial neuroendocrine tumors. Clin. Cancer Res. 2017, 23, 4617–4624. [Google Scholar] [CrossRef] [PubMed]
  45. Bodei, L.; Cremonesi, M.; Ferrari, M.; Pacifici, M.; Grana, C.M.; Bartolomei, M.; Baio, S.M.; Sansovini, M.; Paganelli, G. Long-term evaluation of renal toxicity after peptide receptor radionuclide therapy with 90Y-DOTATOC and 177Lu-DOTATATE: The role of associated risk factors. Eur. J. Nucl. Med. Mol. Imaging 2008, 35, 1847–1856. [Google Scholar] [CrossRef] [PubMed]
  46. Kendi, A.T.; Halfdanarson, T.R.; Packard, A.; Dundar, A.; Subramaniam, R.M. Therapy with (177)Lu-DOTATATE: Clinical implementation and impact on care of patients with neuroendocrine tumors. AJR Am. J. Roentgenol. 2019, 213, 309–317. [Google Scholar] [CrossRef] [PubMed]
  47. Kennedy, A.; Brown, D.B.; Feilchenfeldt, J.; Marshall, J.; Wasan, H.; Fakih, M.; Gibbs, P.; Knuth, A.; Sangro, B.; Soulen, M.C.; et al. Safety of selective internal radiation therapy (SIRT) with yttrium-90 microspheres combined with systemic anticancer agents: Expert consensus. J. Gastrointest. Oncol. 2017, 8, 1079–1099. [Google Scholar] [CrossRef] [PubMed]
  48. Riff, B.P.; Yang, Y.X.; Soulen, M.C.; Pryma, D.A.; Bennett, B.; Wild, D.; Nicolas, G.; Teitelbaum, U.R.; Metz, D.C. Peptide receptor radionuclide therapy-induced hepatotoxicity in patients with metastatic neuroendocrine tumors. Clin. Nucl. Med. 2015, 40, 845–850. [Google Scholar] [CrossRef] [PubMed]
  49. Sonbol, M.B.; Halfdanarson, T.R.; Hilal, T. Assessment of Therapy-Related Myeloid Neoplasms in Patients With Neuroendocrine Tumors After Peptide Receptor Radionuclide Therapy: A Systematic Review. JAMA Oncol. 2020, 6, 1086–1092. [Google Scholar] [CrossRef]
  50. Bodei, L.; Kidd, M.; Paganelli, G.; Grana, C.M.; Drozdov, I.; Cremonesi, M.; Lepensky, C.; Kwekkeboom, D.J.; Baum, R.P.; Krenning, E.P.; et al. Long-term tolerability of PRRT in 807 patients with neuroendocrine tumours: The value and limitations of clinical factors. Eur. J. Nucl. Med. Mol. Imaging 2015, 42, 5–19. [Google Scholar] [CrossRef]
  51. Ba-Ssalamah, A.; Uffmann, M.; Saini, S.; Bastati, N.; Herold, C.; Schima, W. Clinical value of MRI liver-specific contrast agents: A tailored examination for a confident non-invasive diagnosis of focal liver lesions. Eur. Radiol. 2009, 19, 342–357. [Google Scholar] [CrossRef]
  52. Giesel, F.L.; Kratochwil, C.; Mehndiratta, A.; Wulfert, S.; Moltz, J.H.; Zechmann, C.M.; Kauczor, H.U.; Haberkorn, U.; Ley, S. Comparison of neuroendocrine tumor detection and characterization using DOTATOC-PET in correlation with contrast enhanced CT and delayed contrast enhanced MRI. Eur. J. Radiol. 2012, 81, 2820–2825. [Google Scholar] [CrossRef]
  53. Shimada, K.; Isoda, H.; Hirokawa, Y.; Arizono, S.; Shibata, T.; Togashi, K. Comparison of gadolinium-EOB-DTPA-enhanced and diffusion-weighted liver MRI for detection of small hepatic metastases. Eur. Radiol. 2010, 20, 2690–2698. [Google Scholar] [CrossRef]
  54. Norman, A.P.; Wee, C.; Hobday, T.J.; Kendi, A.T.; Johnson, G.B.; Thorpe, M.P.; Lunn, B.W.; Bach, C.R.; Halfdanarson, T.R. Utility of midpoint imaging in patients receiving peptide receptor radionuclide therapy (PRRT) for advance progressive gastroenteropancreatic-neuroendocrine tumors (GEP-NETs) [Abstract C33]. In Proceedings of the NANETS 2021 Symposium Abstracts, Chicago, IL, USA, 4–6 November 2021. [Google Scholar]
  55. Brabander, T.; van der Zwan, W.A.; Teunissen, J.J.M.; Kam, B.L.R.; de Herder, W.W.; Feelders, R.A.; Krenning, E.P.; Kwekkeboom, D.J. Pitfalls in the response evaluation after peptide receptor radionuclide therapy with [(177)Lu-DOTA(0),Tyr(3)]octreotate. Endocr. Relat. Cancer 2017, 24, 243–251. [Google Scholar] [CrossRef]
  56. De Mestier, L.; Dromain, C.; d’Assignies, G.; Scoazec, J.Y.; Lassau, N.; Lebtahi, R.; Brixi, H.; Mitry, E.; Guimbaud, R.; Courbon, F.; et al. Evaluating digestive neuroendocrine tumor progression and therapeutic responses in the era of targeted therapies: State of the art. Endocr. Relat. Cancer 2014, 21, R105–R120. [Google Scholar] [CrossRef]
  57. Choi, H.; Charnsangavej, C.; Faria, S.C.; Macapinlac, H.A.; Burgess, M.A.; Patel, S.R.; Chen, L.L.; Podoloff, D.A.; Benjamin, R.S. Correlation of computed tomography and positron emission tomography in patients with metastatic gastrointestinal stromal tumor treated at a single institution with imatinib mesylate: Proposal of new computed tomography response criteria. J. Clin. Oncol. 2007, 25, 1753–1759. [Google Scholar] [CrossRef] [PubMed]
  58. Huizing, D.M.V.; Aalbersberg, E.A.; Versleijen, M.W.J.; Tesselaar, M.E.T.; Walraven, I.; Lahaye, M.J.; de Wit–van der Veen, B.J.; Stokkel, M.P.M. Early response assessment and prediction of overall survival after peptide receptor radionuclide therapy. Cancer Imaging 2020, 20, 57. [Google Scholar] [CrossRef] [PubMed]
  59. Haug, A.R.; Auernhammer, C.J.; Wangler, B.; Schmidt, G.P.; Uebleis, C.; Goke, B.; Cumming, P.; Bartenstein, P.; Tiling, R.; Hacker, M. 68Ga-DOTATATE PET/CT for the early prediction of response to somatostatin receptor-mediated radionuclide therapy in patients with well-differentiated neuroendocrine tumors. J. Nucl. Med. 2010, 51, 1349–1356. [Google Scholar] [CrossRef]
  60. Kong, G.; Thompson, M.; Collins, M.; Herschtal, A.; Hofman, M.S.; Johnston, V.; Eu, P.; Michael, M.; Hicks, R.J. Assessment of predictors of response and long-term survival of patients with neuroendocrine tumour treated with peptide receptor chemoradionuclide therapy (PRCRT). Eur. J. Nucl. Med. Mol. Imaging 2014, 41, 1831–1844. [Google Scholar] [CrossRef]
  61. Mahajan, S.; O’Donoghue, J.; Weber, W.; Bodei, L. Integrating Early Rapid Post-Peptide Receptor Radionuclide Therapy Quality Assurance Scan into the Outpatient Setting. J. Nucl. Med. Radiat. Ther. 2019, 10, 395. [Google Scholar] [CrossRef] [PubMed]
  62. Opalinska, M.; Morawiec-Slawek, K.; Kania-Kuc, A.; Al Maraih, I.; Sowa-Staszczak, A.; Hubalewska-Dydejczyk, A. Potential value of pre- and post-therapy [68Ga]Ga-DOTA-TATE PET/CT in the prognosis of response to PRRT in disseminated neuroendocrine tumors. Front. Endocrinol. (Lausanne) 2022, 13, 929391. [Google Scholar] [CrossRef] [PubMed]
  63. Aalbersberg, E.A.; de Vries-Huizing, D.M.V.; Tesselaar, M.E.T.; Stokkel, M.P.M.; Versleijen, M.W.J. Post-PRRT scans: Which scans to make and what to look for. Cancer Imaging 2022, 22, 29. [Google Scholar] [CrossRef]
  64. Heying, D.; Hong, S.; Valentina, F.; George, F.; Shagulfta, S.; Jagruti, S.; Judy, N.; Farshad, M.; Ben, F.; Guido, D.; et al. Evaluation of 68Ga-DOTATATE PET After Two Cycles of Peptide Receptor Radionuclide Therapy (PRRT) in Neuroendocrine Tumors (NET) [Abstract C25]. In Proceedings of the NANETS 2022 Symposium Abstracts, Washington, DC, USA, 27–29 October 2022. [Google Scholar]
  65. Cherk, M.H.; Kong, G.; Hicks, R.J.; Hofman, M.S. Changes in biodistribution on (68)Ga-DOTA-Octreotate PET/CT after long acting somatostatin analogue therapy in neuroendocrine tumour patients may result in pseudoprogression. Cancer Imaging 2018, 18, 3. [Google Scholar] [CrossRef]
  66. Binderup, T.; Knigge, U.; Johnbeck, C.B.; Loft, A.; Berthelsen, A.K.; Oturai, P.; Mortensen, J.; Federspiel, B.; Langer, S.W.; Kjaer, A. (18)F-FDG PET is Superior to WHO Grading as a Prognostic Tool in Neuroendocrine Neoplasms and Useful in Guiding PRRT: A Prospective 10-Year Follow-up Study. J. Nucl. Med. 2021, 62, 808–815. [Google Scholar] [CrossRef]
  67. Halfdanarson, T.R.; Strosberg, J.R.; Tang, L.; Bellizzi, A.M.; Bergsland, E.K.; O’Dorisio, T.M.; Halperin, D.M.; Fishbein, L.; Eads, J.; Hope, T.A.; et al. The North American Neuroendocrine Tumor Society Consensus Guidelines for Surveillance and Medical Management of Pancreatic Neuroendocrine Tumors. Pancreas 2020, 49, 863–881. [Google Scholar] [CrossRef] [PubMed]
  68. Oberg, K.; Modlin, I.M.; De Herder, W.; Pavel, M.; Klimstra, D.; Frilling, A.; Metz, D.C.; Heaney, A.; Kwekkeboom, D.; Strosberg, J.; et al. Consensus on biomarkers for neuroendocrine tumour disease. Lancet Oncol. 2015, 16, e435–e446. [Google Scholar] [CrossRef] [PubMed]
  69. Strosberg, J.R.; Halfdanarson, T.R.; Bellizzi, A.M.; Chan, J.A.; Dillon, J.S.; Heaney, A.P.; Kunz, P.L.; O’Dorisio, T.M.; Salem, R.; Segelov, E.; et al. The North American Neuroendocrine Tumor Society Consensus Guidelines for Surveillance and Medical Management of Midgut Neuroendocrine Tumors. Pancreas 2017, 46, 707–714. [Google Scholar] [CrossRef]
  70. Modlin, I.M.; Drozdov, I.; Kidd, M. The identification of gut neuroendocrine tumor disease by multiple synchronous transcript analysis in blood. PLoS ONE 2013, 8, e63364. [Google Scholar] [CrossRef] [PubMed]
  71. Bodei, L.; Kidd, M.; Modlin, I.M.; Severi, S.; Drozdov, I.; Nicolini, S.; Kwekkeboom, D.J.; Krenning, E.P.; Baum, R.P.; Paganelli, G. Measurement of circulating transcripts and gene cluster analysis predicts and defines therapeutic efficacy of peptide receptor radionuclide therapy (PRRT) in neuroendocrine tumors. Eur. J. Nucl. Med. Mol. Imaging 2016, 43, 839–851. [Google Scholar] [CrossRef]
  72. Bodei, L.; Kidd, M.S.; Singh, A.; van der Zwan, W.A.; Severi, S.; Drozdov, I.A.; Cwikla, J.; Baum, R.P.; Kwekkeboom, D.J.; Paganelli, G.; et al. PRRT genomic signature in blood for prediction of (177)Lu-octreotate efficacy. Eur. J. Nucl. Med. Mol. Imaging 2018, 45, 1155–1169. [Google Scholar] [CrossRef]
  73. Bodei, L.; Kidd, M.S.; Singh, A.; van der Zwan, W.A.; Severi, S.; Drozdov, I.A.; Malczewska, A.; Baum, R.P.; Kwekkeboom, D.J.; Paganelli, G.; et al. PRRT neuroendocrine tumor response monitored using circulating transcript analysis: The NETest. Eur. J. Nucl. Med. Mol. Imaging 2020, 47, 895–906. [Google Scholar] [CrossRef]
  74. Marinova, M.; Mucke, M.; Fischer, F.; Essler, M.; Cuhls, H.; Radbruch, L.; Ghaei, S.; Conrad, R.; Ahmadzadehfar, H. Quality of life in patients with midgut NET following peptide receptor radionuclide therapy. Eur. J. Nucl. Med. Mol. Imaging 2019, 46, 2252–2259. [Google Scholar] [CrossRef]
  75. Strosberg, J.; Wolin, E.; Chasen, B.; Kulke, M.; Bushnell, D.; Caplin, M.; Baum, R.P.; Kunz, P.; Hobday, T.; Hendifar, A.; et al. Health-related quality of life in patients with progressive midgut neuroendocrine tumors treated with (177)Lu-Dotatate in the phase III NETTER-1 trial. J. Clin. Oncol. 2018, 36, 2578–2584. [Google Scholar] [CrossRef]
  76. Zandee, W.T.; Brabander, T.; Blazevic, A.; Kam, B.L.R.; Teunissen, J.J.M.; Feelders, R.A.; Hofland, J.; de Herder, W.W. Symptomatic and Radiological Response to 177Lu-DOTATATE for the Treatment of Functioning Pancreatic Neuroendocrine Tumors. J. Clin. Endocrinol. Metab. 2019, 104, 1336–1344. [Google Scholar] [CrossRef] [PubMed]
  77. Hofland, J.; Herrera-Martinez, A.D.; Zandee, W.T.; de Herder, W.W. Management of carcinoid syndrome: A systematic review and meta-analysis. Endocr. Relat. Cancer 2019, 26, R145–R156. [Google Scholar] [CrossRef] [PubMed]
  78. Zandee, W.T.; Brabander, T.; Blazevic, A.; Minczeles, N.S.; Feelders, R.A.; de Herder, W.W.; Hofland, J. Peptide Receptor Radionuclide Therapy With 177Lu-DOTATATE for Symptomatic Control of Refractory Carcinoid Syndrome. J. Clin. Endocrinol. Metab. 2021, 106, e3665–e3672. [Google Scholar] [CrossRef] [PubMed]
  79. Yordanova, A.; Ahmadzadehfar, H. Combination therapies with PRRT. Pharmaceuticals 2021, 14, 1005. [Google Scholar] [CrossRef] [PubMed]
  80. Ballal, S.; Yadav, M.P.; Tripathi, M.; Sahoo, R.K.; Bal, C. Survival Outcomes in Metastatic Gastroenteropancreatic Neuroendocrine Tumor Patients receiving Concomitant (225)Ac-DOTATATE Targeted Alpha Therapy and Capecitabine: A Real-world Scenario Management Based Long-term Outcome Study. J. Nucl. Med. 2022, 64, 211–218. [Google Scholar] [CrossRef] [PubMed]
  81. Strosberg, J.; Leeuwenkamp, O.; Siddiqui, M.K. Peptide receptor radiotherapy re-treatment in patients with progressive neuroendocrine tumors: A systematic review and meta-analysis. Cancer Treat. Rev. 2021, 93, 102141. [Google Scholar] [CrossRef]
  82. Haug, A.R. PRRT of neuroendocrine tumors: Individualized dosimetry or fixed dose scheme? EJNMMI Res. 2020, 10, 35. [Google Scholar] [CrossRef]
  83. Reddy, R.P.; Ross Schmidtlein, C.; Giancipoli, R.G.; Mauguen, A.; LaFontaine, D.; Schoder, H.; Bodei, L. The Quest for an Accurate Functional Tumor Volume with (68)Ga-DOTATATE PET/CT. J. Nucl. Med. 2022, 63, 1027–1032. [Google Scholar] [CrossRef]
Table 3. Considerations for post-RLT disease progression and response monitoring [8,9].
Table 3. Considerations for post-RLT disease progression and response monitoring [8,9].
TopicConsiderationsKey MDT Members for Addressing the Considerations
Consistency and reproducibility of imaging
  • Due to variability, perform initial and follow-up scans in the same imaging department/center
  • For SSTR PET, standardized setup (e.g., choice of imaging radioligand) and workflow procedures along with careful data interpretation are important to enhance reproducibility over time
Radiologists, nuclear medicine specialists
Choice of imaging technique
  • Anatomic imaging remains a central component of patient monitoring
  • Appropriate use criteria support use of SSTR PET for monitoring of NETs seen predominantly on SSTR PET and restaging after completion of RLT
  • There is no consensus on which specific imaging modalities to use for an individual patient
  • Suspected lesion site can help guide choice of imaging technique
    ○
    Bowel, peritoneal disease: multiphase CT
    ○
    Liver, pancreas: MRI (diffusion-weighted, hepatobiliary contrast in delayed phase)
    ○
    Bone: SSTR PET
  • Use of multiple imaging modalities provides complementary information and may highlight disease heterogeneity
Radiologists, nuclear medicine specialists medical oncologists
Timing of imaging assessments
  • Timing of pseudoprogression and utility of midpoint imaging
  • Typical kinetics of response for RLT
  • Influence of disease factors (burden, grade) on frequency of assessments
  • Need to balance benefit of detecting early progression vs. costs/risk of frequent assessments
Radiologists, nuclear medicine specialists, medical oncologists, surgical oncologists
Criteria for response and disease progression based on imaging findings
  • Standard RECIST criteria for solid tumors have limitations when applied to NETs
    ○
    Heterogeneity in tumor biology and response complicates the optimal choice and number of target lesions
    ○
    Potential to misclassify PD as SD due to the slow growth rate of NETs
    ○
    Targeted therapies may alter NET characteristics other than size (e.g., tumor density)
    ○
    Potential confounding from pseudoprogression
    ○
    Bone metastases are difficult to measure
  • There are no standardized response criteria for SSTR PET
Medical oncologists, radiologists, nuclear medicine specialists
Circulating biomarkers
  • Lack of sensitivity, specificity, and predictive power
  • Expert consensus is that current circulating biomarkers have limited clinical utility for most patients (with the exception of functional pancreatic NETs)
Medical oncologists, endocrinologists
Quality of Life/symptoms
  • Subjective and nonspecific
  • Changes in symptoms may reflect response to therapy or disease recurrence
Medical oncologists, gastroenterologists, endocrinologists
Clinical data for post-RLT monitoring/surveillance
  • Small number of studies which have not been validated
All members of the MDT
CT = computed tomography; MDT = multidisciplinary team; MRI = magnetic resonance imaging; NET = neuroendocrine tumor; PD = progressive disease; PET = positron emission tomography; RECIST = Response Evaluation Criteria in Solid Tumors; RLT = radioligand therapy; SD = stable disease; SSTR = somatostatin receptor.
Table 5. Future directions in RLT for GEP-NETs and their potential impact on patient monitoring and clinical surveillance.
Table 5. Future directions in RLT for GEP-NETs and their potential impact on patient monitoring and clinical surveillance.
TopicSelect Ongoing Studies or ResultsCurrent Status and Potential Impact on Patient Monitoring
Novel RLT-based combination therapiesNCT04234568 (RLT + triapine)
NCT04086485 (RLT + olaparib)
NCT04750954 (RLT + peposertib)
NCT05249114 (RLT + cabozantinib)
NCT03044977 (2 RLTs together: 131I-MIBG and 90Y-DOTATOC)		Novel RLT-based combination therapies are investigational and have not been approved;
If approved in the future, frequency and type of assessments may need to be adjusted based on specific safety considerations for each combination therapy
Targeted alpha-emitter therapyNCT05153772 (212Pb-DOTAMTATE)
Promising long-term results for 225Ac-DOTATATE [80]		Alpha-emitter therapies are investigational and have not been approved;
If approved in the future, frequency and type of assessments may need to be adjusted based on specific safety considerations for each radioisotope
RLT retreatmentNCT04954820 (ReLUTH study)
NET RETREAT study (SWOG/CCTG; RLT retreatment vs everolimus)
NCT05477576 (RYZ101 [225Ac] vs investigator choice of everolimus, sunitinib, octreotide, or lanreotide)
Systematic review/meta-analysis showed encouraging efficacy and safety [81]		RLT retreatment is investigational and has not yet been approved;
If approved in the future, restaging with SSTR PET after initial RLT can inform eligibility and serve as a baseline disease assessment for RLT retreatment
Dosimetry-based RLTNCT02754297 (dosimetry-based RLT)
NCT04917484 (dosimetry- vs. standard-dose RLT)		Dosimetry-guided RLT is investigational and has not yet been approved
High-grade diseaseNCT03972488 (NETTER-2 phase 3 study; RLT vs high-dose octreotide in grade 2 and 3 advanced GEP-NETs)
NCT04919226 (COMPOSE phase 3 study; RLT vs SOC in grade 2 and 3 advanced GEP-NETs)		In the United States, 177Lu-DOTATATE is approved for the treatment of SSTR-positive GEP-NETs;
Patients with high-grade disease may require more frequent monitoring
Multianalyte biomarkersCirculating transcript assays have demonstrated promising results for monitoring response to RLT (NETest) and predicting response to RLT (PPQ) [73] The NETest and PPQ assays are commercially available but have seen limited uptake;
If validated and established in clinical practice, these biomarkers could improve patient selection, identify non-responders, and allow for early changes in treatment strategy
131I = iodine-131; 177Lu = lutetium-177; 225Ac = actinium-225; 212Pb = lead-212; 90Y = yttrium-90; CCTG = Canadian Cancer Trials Group; GEP-NETs = gastroenteropancreatic neuroendocrine tumors; MIBG = metaiodobenzylguanidine; PET = positron emission tomography; PPQ = PRRT predictive quotient; RLT = radioligand therapy; SOC = standard of care; SSTR = somatostatin receptor.
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Halfdanarson, T.R.; Mallak, N.; Paulson, S.; Chandrasekharan, C.; Natwa, M.; Kendi, A.T.; Kennecke, H.F. Monitoring and Surveillance of Patients with Gastroenteropancreatic Neuroendocrine Tumors Undergoing Radioligand Therapy. Cancers 2023, 15, 4836. https://doi.org/10.3390/cancers15194836

AMA Style

Halfdanarson TR, Mallak N, Paulson S, Chandrasekharan C, Natwa M, Kendi AT, Kennecke HF. Monitoring and Surveillance of Patients with Gastroenteropancreatic Neuroendocrine Tumors Undergoing Radioligand Therapy. Cancers. 2023; 15(19):4836. https://doi.org/10.3390/cancers15194836

Chicago/Turabian Style

Halfdanarson, Thorvardur R., Nadine Mallak, Scott Paulson, Chandrikha Chandrasekharan, Mona Natwa, Ayse Tuba Kendi, and Hagen F. Kennecke. 2023. "Monitoring and Surveillance of Patients with Gastroenteropancreatic Neuroendocrine Tumors Undergoing Radioligand Therapy" Cancers 15, no. 19: 4836. https://doi.org/10.3390/cancers15194836

APA Style

Halfdanarson, T. R., Mallak, N., Paulson, S., Chandrasekharan, C., Natwa, M., Kendi, A. T., & Kennecke, H. F. (2023). Monitoring and Surveillance of Patients with Gastroenteropancreatic Neuroendocrine Tumors Undergoing Radioligand Therapy. Cancers, 15(19), 4836. https://doi.org/10.3390/cancers15194836

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