Search Results (497)

Background/Objectives: Type 1 gastric neuroendocrine tumors (gNET) arise in the setting of autoimmune chronic atrophic gastritis and secondary hypergastrinemia. Vitamin D deficiency (VDD) has been associated with bone impairment and adverse outcomes in patients with neuroendocrine tumor (NET); however, data specifically addressing gNET remain limited. This study aimed to evaluate vitamin D status, supplementation requirements, and bone involvement in patients with type 1 gNET compared with those with entero-pancreatic NET (EP-NET). Methods: This retrospective study included patients with type 1 gNET followed at a tertiary referral center between 2010 and 2025 and an age- and sex-matched EP-NET cohort. VDD prevalence, time and dose required for normalization, supplementation formulations, bone status, and dietary habits were analyzed. Results: Twenty-six patients were included (thirteen gNET and thirteen EP-NET). VDD was significantly more prevalent in the gNET group compared with the EP-NET group (92.3% vs. 46.2%, p = 0.03, OR: 14). gNET required significantly higher daily cholecalciferol doses (3198.9 ± 1629 vs. 1580 ± 1121 IU/day, p = 0.008) and more frequently required multiple supplementation formulations (38.5% vs. 0%, p = 0.04). Multivariable linear regression analysis restricted to VDD patients confirmed that gNET was independently associated with higher daily cholecalciferol dose requirements (p = 0.037). Bone impairment, defined as osteoporosis or osteopenia, was significantly more common in the gNET group (61.5% vs. 15.4%, p = 0.04, OR: 8.8). Dietary adherence did not differ between groups. Conclusions: Type 1 gNET show a higher burden of VDD, increased vitamin D supplementation requirements, and a higher prevalence of bone impairment compared with EP-NET, irrespective of dietary habits. These findings suggest disease-specific mechanisms and support the need for tailored management in these patients. Full article

Background: Lung carcinoids—typical and atypical—are rare neuroendocrine tumors (NETs) representing 1–2% of lung cancers. Despite clinicopathological differences, their clinical management often mirrors lung cancer protocols rather than NET-specific recommendations. Objectives: Portray a 12-year real-world experience with lung carcinoids at a Comprehensive Cancer Center, identifying gaps in diagnostic work-up, treatment decision-making, and follow-up. Methods: Retrospective observational cohort study of adult patients with histologically confirmed lung carcinoids diagnosed at IPO Porto between January 2013 and December 2024. Demographic, clinical, imaging, and treatment data were collected from electronic patient records. Analyses were descriptive. Results: Among 179 identified cases, 129 met eligibility criteria. Median age was 62 years (range 18–84); 53.6% were women and 53.5% were non-smokers; 84.5% had ECOG-PS 0–1. The most frequent presentation was respiratory symptoms (34.1%), followed by incidental findings (43.4%, of which ~20% were during staging or surveillance of other cancers). Typical carcinoids accounted for 49.6% and atypical for 43.4%. FDG-PET/CT was requested in 70.9% of cases, including many with typical carcinoid, and SSTR-PET/CT in 64.6% (dual PET in 38.8%). Most patients (65.1%) presented with stage I disease; 17.1% were stage IV. Mean time-to-first treatment was 83 days (range 1–259). Surgery was the first treatment option for 78.3% of patients. Conclusions: This real-world series highlights heterogeneity in diagnostic pathways, excessive FDG-PET use in typical carcinoids, and non-standardized follow-up. Dedicated multidisciplinary lung-NET boards and national reference centers are needed to homogenize and streamline patient management. Full article

Pancreatic cystic lesions (PCLs) are increasingly detected due to widespread use of cross-sectional imaging. They encompass a heterogeneous group of lesions, ranging from benign pseudocysts and serous cystic neoplasms (SCNs) to premalignant mucinous cystic neoplasms (MCNs) and intraductal papillary mucinous neoplasms (IPMNs), as well as rare malignant entities such as solid pseudopapillary epithelial neoplasm (SPENs) and cystic pancreatic neuroendocrine tumors (cystic PanNETs). Management of PCLs depends on their malignant potential; therefore, an accurate classification is essential for optimizing treatment. This narrative review summarizes current knowledge on the epidemiology, imaging characteristics, diagnosis, and management of PCLs, highlighting the role of CT, MRI, MRCP, and endoscopic ultrasound. Recent advances in radiomics for lesion characterization and risk stratification, particularly in IPMNs, are discussed. Full article

Biomarkers such as CEACAM-5, CA125 and HE4 have been implicated in tumor progression, invasion, and microenvironment modulation in several cancers, but their protein expression in GEP-NET remains poorly characterized. This study aimed to evaluate CEACAM-5, CA125 and HE4 levels in tumors and matched surgical margin samples from 59 GEP-NET patients and assess correlations with clinical and demographic variables. Total protein concentration was measured spectrophotometrically, and selected cytokines by multiplex immunoassay. No significant differences in CEACAM-5, CA125 and HE4 protein concentrations were found between tumor and margin samples. However, in tumor tissue, CA125 protein levels showed a statistically significant association with T and M status. A significantly higher level of all proteins was observed in ileum or colon tumors compared to pancreas. Analysis of HE4 revealed differences in protein levels between male and female tumor samples. CEACAM-5, CA125 and HE4 proteins showed distinct expression patterns in GEP-NET according to tumor stage, metastasis, primary tumor location, and sex, highlighting their potential as tissue biomarkers of tumor aggressiveness and microenvironmental activity. These findings provide a basis for future studies on their prognostic and therapeutic relevance. Full article

Background/Objectives: Achieving gross total resection is crucial in the surgical management of pituitary neuroendocrine tumors (PitNETs). However, PitNETs with anterosuperior extension remain challenging to completely remove using the conventional transsellar approach (TSA) due to limited access to the anterior suprasellar region. This study evaluated the efficacy and safety of a modified TSA (mTSA) that involves additional removal of the tuberculum sellae and planum sphenoidale (PS) bones without expanding the dural incision. Methods: We retrospectively reviewed 104 patients with nonfunctioning PitNETs who underwent endoscopic transsphenoidal surgery between 2017 and 2022. Seventy-seven patients were treated with the conventional TSA and 27 with the mTSA. Tumor configuration and accessible area were measured on pre- and postoperative MR imaging and CT. The ratio of the accessible to total tumor area was calculated on mid-sagittal images. Surgical outcomes and postoperative complications were compared between groups. Results: Gross total resection was achieved in all patients. Tumors treated with mTSA were larger (median height, 32 mm vs. 25 mm; p < 0.001) and showed greater anterosuperior extension. The mTSA increased the median accessible tumor area from 70% to 88%, with a median PS removal distance of 4.4 mm. Postoperative complications were minimal: cerebrospinal fluid leakage (3%), meningitis (3%), transient ocular movement disturbance (2%), and transient visual worsening (1%). No hemorrhage or anosmia occurred. Conclusions: The mTSA safely expands the surgical corridor to the anterior suprasellar region, enhancing accessibility and enabling complete resection without dural incision. This approach balances surgical radicality and safety in PitNETs with anterosuperior extension. Full article

One controversial issue in pituitary pathology is the simultaneous proliferation of PitNETs and endothelial cells. No previous studies have compared the MIB1 Labeling Index (MIB1 LI) of PitNETs and stromal endothelial compartments and its connection with VEGF protein and gene expression. Simultaneous PitNETs proliferation index assessment in tumor and endothelial cells is related to VEGF protein and gene expression, and by using the automated QuPath platform for digital image analysis (DIA), it can be determined whether this dual proliferation specifically characterizes certain PitNETs subtypes. A total of 109 PitNETs were immunostained for endothelial cells (CD34) and proliferation (MIB1). VEGF was assessed by using IHC and RNA scopes. QuPath_DIA measured hormone-dependent MIB1 nuclear expression in tumor and stromal endothelial cells. MIB1 LI correlated with VEGF_mRNA and protein expression. PRL-secreting and non-functioning PitNETs had a high MIB1 LI in stromal endothelial cells. MIB1-positive tumor cell (%MIB1 LI.T) and endothelial cell (%MIB1 LI.E) percentages were substantially correlated (p = 0.01). The profiles of VEGF and hormones significantly and heterogeneously impact the MIB1-LI of tumor and endothelial cells. Tumor–endothelial cell proliferative interaction is specific to PRL-secreting and non-functioning PitNETs. These findings suggest that digital analysis of MIB1 and VEGF expression may serve as a valuable tool for risk stratification in PitNETs. Full article

Background: Pancreatic hamartoma (PH) is an exceptionally rare, benign, mass-forming lesion accounting for less than 1% of all pancreatic tumors. Its rarity and non-neoplastic nature contribute to significant diagnostic challenges, often leading to misclassification as malignant disease. This study presents a case of PH and a systematic review of all reported cases, with emphasis on histopathological and imaging characteristics. Methods: A comprehensive electronic search of PubMed, Scopus, and Web of Science was conducted up to 1 April 2025, to identify eligible case reports and series. Results: We describe a 37-year-old woman with a cystic lesion of the pancreatic tail, ultimately confirmed histologically as a cystic pancreatic hamartoma following distal pancreatectomy with splenectomy, with an uneventful postoperative course. Of 687 screened studies, 51 met the inclusion criteria, comprising 77 cases (68 adults, 9 pediatric). PHs occurred most frequently in males (52.9%), with a mean age of 59.5 ± 12.9 years, and were often asymptomatic (57.4%). The pancreatic head was the most common site (52.9%). On MRI, PHs typically exhibited low T1-weighted and high T2-weighted signal intensity, with no FDG uptake (82%) and moderate or no restriction on DWI, distinguishing them from neuroendocrine tumors (NETs). Histologically, most lesions were solid (64.7%) or solid–cystic (35.3%), with low spindle cell cellularity and absent Langerhans islets. Conclusions: Low T1WI signal and moderate DWI signal are the key features distinguishing PHs from NETs. Incorporating these findings with EUS-FNA and immunohistochemistry can support a provisional diagnosis and help avoid unnecessary radical surgery. Full article

Transarterial radioembolization (TARE) is an established therapy for primary and secondary hepatic malignancies. Outcomes depend heavily on dosimetry, which has evolved from empirical and body-surface-area methods to partition and voxel-based approaches. This review summarizes current evidence for advanced (personalized) dosimetry across tumor types, highlights emerging dose–response concepts, and outlines practical barriers and implementation strategies. A narrative review of peer-reviewed clinical studies and trials evaluating dosimetry in TARE, with emphasis on hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (iCCA), metastatic colorectal cancer (mCRC), neuroendocrine tumor (NET), and breast cancer liver metastases, was performed with comparison of single-compartment medical internal radiation dosimetry method (MIRD), partition (multicompartment) methods, and voxel-based dosimetry methodologies. Personalized dosimetry improves outcomes in multiple tumor types. A randomized trial in HCC showed superior overall survival with partition-based dosing versus MIRD. In selective HCC treatments, voxel-derived metrics (e.g., D95) correlate with complete pathologic necrosis, suggesting benefit beyond mean dose targets. For iCCA, data associate higher tumor doses with better radiologic response, progression-free survival, and downstaging. In mCRC, voxel-based and threshold analyses link specific tumor and margin doses with metabolic/radiographic response and survival. Smaller series in NET and breast cancer indicate dose–response relationships using advanced dosimetry. Evidence supports broader adoption of advanced dosimetry in TARE. Emerging strategies that ensure adequate coverage of the “coldest” tumor regions and thoughtful particle-load planning may further optimize results. Standardized protocols, prospective validation, and scalable workflows are needed to accelerate implementation. Full article

Neuroendocrine neoplasms (NENs) are rare and heterogeneous tumors with heterogeneity in morphology and molecular profile and consequently resulting in a heterogeneous biological behavior. They have a more indolent natural history compared to the classic cancer and may emerge in any site of the human body, but usually they have gastroenteropancreatic (GEP) or bronchopulmonary (BP) origin. When NENs are well differentiated, they are called neuroendocrine tumors (NETs) as opposed to poorly differentiated neuroendocrine carcinomas (NECs). They may secrete a bioactive molecule resulting in a secretory syndrome or they may not be associated with any secretory product, defining functional and non-functional NENs. The hormonal hypersecretion syndromes, the chronic symptom burden, the tumor-related inflammation, and the treatment side effects impair nutritional intake and absorption while increasing metabolic needs. The present comprehensive narrative review is summarizing established and emerging methods of nutritional and body composition assessment, and the recent evidence of interventions for sarcopenia and malnutrition in patients with NETs. Early identification and management of malnutrition and sarcopenia are fundamental steps to improve quality of life and clinical outcomes in these patients during the long natural history of these neoplasms. Full article

Background: Ovarian neuroendocrine neoplasms (O-NENs) are extremely rare, representing less than 1% of all ovarian neoplasms and under 5% of all neuroendocrine tumors (NETs). They encompass two primary histological subtypes: well-differentiated carcinoids and poorly differentiated neuroendocrine carcinomas, which display distinct biological behaviors and prognoses. The ovary can also be a site of metastasis from extra-ovarian NETs. Owing to their rarity, clinical management lacks standardization, and diagnosis is often incidental following surgery for presumed epithelial ovarian neoplasms. Objectives: This review aims to provide an updated synthesis of current evidence on the epidemiology, pathogenesis, clinical presentation, diagnosis, treatment strategies, and prognosis of O-NENs, highlighting unmet clinical needs. Methods: A literature search was performed on PubMed for the years 2014–2024 using the keywords: “ovarian neuroendocrine tumor”, “ovarian neuroendocrine neoplasm”, “ovarian neuroendocrine carcinoma”, and “ovarian carcinoid”. Only articles published in English were considered. Given the rarity of the disease, in addition to meta-analyses and systematic reviews, relevant case reports and case series were also included to provide a comprehensive clinical picture, yielding 32 eligible articles. Results: Evidence indicates that O-NENs remain understudied, with most data derived from case reports and small series. Clinical presentations vary from asymptomatic masses to hormone-related syndromes, often mimicking other ovarian pathologies. Diagnostic work-up typically follows the same protocol as epithelial ovarian cancer, with the neuroendocrine nature only recognized postoperatively. Treatment strategies are empirical and largely extrapolated from extra-ovarian NETs due to the absence of specific guidelines. Prognosis varies widely depending on histotype, stage, and secretory activity. Conclusions: O-NENs pose significant diagnostic and therapeutic challenges due to their rarity and heterogeneity. Greater clinical awareness, multidisciplinary management, and multicenter research are essential to establish evidence-based protocols and improve patient outcomes. Full article

Purpose: Zollinger–Ellison syndrome (ZES) is the most frequent, functional, malignant pancreatic neuroendocrine tumor syndrome (pNET), which is due to ectopic secretion of gastrin by a pNET/NET (i.e., gastrinomas) resulting in severe, refractory acid-peptic disease (ulcer, GERD). ZES has several unique management features, which lead to a number of unresolved controversies. Areas covered: Whereas both medical and surgical controversies exist, they have not been examined in detail for some time. This review contains an analysis of a number of the main current, medical controversies that are unresolved in ZES patients, including insights into the basis of these controversies and possible insights into their resolution from recent studies in patients with gastrinomas or from recent studies in other pNET syndromes or other neuroendocrine tumors (NETs). These include the following: controversies in the long-term control of acid secretion and acid antisecretory drug side-effects; controversies related to the difficulty in making the diagnosis of ZES; nonsurgical MEN1/ZES controversies related to the management of gastric carcinoids (Type II); nonsurgical MEN1/ZES controversies related to whether genotype–phenotype correlations exist in MEN1 patients including MEN1/ZES patients; nonsurgical MEN1/ZES controversies related to the roles of imaging/tumor localization in MEN1 patients for gastrinomas/pNETs in their initial/follow-up management; controversies related to the role of non-surgical tumor ablation for treatment of ZES/gastrinomas; and controversies related to medical treatment selection for advanced, metastatic disease in patients with ZES/gastrinomas/other malignant pNETs. Conclusions: In this paper, the basis for the development of each of these unique ZES-related controversies is discussed and insights into progress that could lead to their resolution are reviewed. Full article

Introduction: Peptide Receptor Radionuclide Therapy (PRRT) with [¹⁷⁷Lu]Lu-DOTA-TATE is effective in treating advanced Neuroendocrine Tumors (NETs), yet predicting individual response in this treatment remains a challenge due to inter-lesion heterogeneity. There is a lack of standardized, effective methods for using multi-lesion radiomics to predict progression and Time to Progression (TTP) in PRRT-treated patients. This study evaluated how aggregating radiomic features from multiple PET-identified lesions can be used to predict disease progression (event [progression and death] vs. event-free) and TTP. Methods: Eighty-one NETs patients with multiple lesions underwent pre-treatment PET/CT imaging. Lesions were segmented and ranked by minimum Standard Uptake Value (SUV_min) (both descending and ascending), SUV_mean, SUV_max, and volume (descending). From each sorting, the top one, three, and five lesions were selected. For the selected lesions, radiomic features were extracted (using the Pyradiomics library) and lesion aggregation was performed using stacked vs. statistical methods. Eight classification models along with three feature selection methods were used to predict progression, and five survival models and three feature selection methods were used to predict TTP under a nested cross-validation framework. Results: The overall appraisal showed that sorting lesions based on SUV_min (descending) yields better classification performance in progression prediction. This is in addition to the fact that aggregating features extracted from all the lesions, as well as the top five lesions sorted by SUV_mean, lead to the highest overall performance in TTP prediction. The individual appraisal in progression prediction models trained on the single top lesion sorted by SUV_min (descending) showed the highest recall and specificity despite data imbalance. The best-performing model was the Logistic Regression (LR) classifier with Recursive Feature Elimination (RFE) (recall: 0.75, specificity: 0.77). In TTP prediction, the highest concordance index was obtained using a Random Survival Forest (RSF) trained on statistically aggregated features from the top five lesions ranked by SUV_mean, selected via Univariate C-Index (UCI) (C-index = 0.68). Across both tasks, features from the Gray Level Size Zone Matrix (GLSZM) family were consistently among the most predictive, highlighting the importance of spatial heterogeneity in treatment response. Conclusions: This study demonstrates that informed lesion selection and tailored aggregation strategies significantly impact the predictive performance of radiomics-based models for progression and TTP prediction in PRRT-treated NET patients. These approaches can potentially enhance model accuracy and better capture tumor heterogeneity, supporting more personalized and practical PRRT implementation. Full article

Pancreatic neuroendocrine neoplasms (PanNENs) are a diverse group of cancers with varying clinical presentations and prognoses due to differences in morphology and clinical stage. Most are non-functional tumors that express somatostatin receptors (SSTRs). Several treatment options have been established for patients with locally advanced or metastatic PanNETs, but the optimal choice of treatment approach and the sequence of available therapies are not yet clearly defined and are currently being studied in multiple ongoing clinical trials. Additionally, new drugs are being researched for PanNET treatment, including immune checkpoint inhibitors, next-generation peptide receptor radionuclide therapy, and other targeted biological therapies. To improve treatment outcomes for patients with PanNETs, a multidisciplinary team should evaluate systemic treatment options. The aim of this article is to review currently available therapies and discuss new and emerging systemic treatment strategies for patients with advanced PanNETs. Full article

Pediatric neuroendocrine tumors (NETs) and neuroblastomas are rare malignancies with poor outcomes when metastatic. Limited treatment options are currently available for pediatric NETs. Recently, radioligand therapy (RLT) consisting of a radionuclide attached to a ligand, such as [¹⁷⁷Lu]Lu-DOTA-TATE, has been approved for the treatment of NETs in adolescents aged ≥12 years. Although long-term safety of RLT in adolescents and other pediatric patients needs to be further investigated, data from large adult studies and early pediatric studies suggest feasibility and low toxicity. Future research is needed to assess potential combinations of RLTs with conventional chemotherapy and radiation sensitizers in order to optimize the treatment for pediatric patients with NETs. This review highlights the current status and future directions for RLTs as theranostics for pediatric patients with NETs and neuroblastomas. Full article

Background/Objectives: Neuroendocrine tumors (NETs) of the lung account for about 30% of NETs. In localized and locally advanced forms, radical surgical resection is the standard of care. Although considered indolent tumors, they appear to be susceptible to post-surgical recurrence, with rates differing between typical and atypical carcinoid. Although still debated, several clinicopathologic factors are potentially associated with recurrence. The aim of this retrospective/prospective observational study is to evaluate the predictive role of clinicopathological factors and radiomics features in patients with NET of the lung. Methods: From January 2021 to April 2024, 45 consecutive patients who underwent radical (R0) surgery for lung NET at the ENETS Center of Excellence of the Sant’Andrea Hospital were enrolled, all with at least 12 months of postoperative follow-up and availability of preoperative unenhanced chest CT. Clinicopathologic and radiomic factors were considered (107 radiomic features). Of the individual characteristics, the impact on recurrence was assessed by univariate logistic regression. Results: Among the 45 patients included, 4 patients (8.9%) experienced disease recurrence. Among the clinicopathological features, major age at diagnosis (p = 0.020), atypical carcinoid (p = 0.010), presence of functional syndrome (p = 0.002), advanced stage at diagnosis (p = 0.013), necrosis (p = 0.017) higher Ki-67 (p = 0.001), higher mitotic count (p = 0.006), and pathologic lymph node (p = 0.006) were associated with disease recurrence. Three radiomic features were found to predict recurrence: DependenceEntropy (p = 0.049), DependenceNonUniformityNormalized (p = 0.024), and Elongation (p = 0.039). In this preliminary analysis, multivariate analysis was not performed due to the small sample size. Conclusions: This study has shown that radiomics can be a valuable tool in predicting recurrence. Currently, to our knowledge, no other studies on the possible application of radiomics as prognostic factors in patients with lung NET have been published. These encouraging findings warrant further investigations with larger, multicenter cohorts to validate these results and implement them by constructing a predictive model of recurrence. Full article