Search Results (235)

Pancreatic neuroendocrine neoplasms (PNENs) are a diverse group of rare tumor subtypes, representing less than 2% of all pancreatic tumors. Often detected late in the clinical course, they are associated with high rates of morbidity and mortality. Hereditary syndromes such as multiple endocrine neoplasia type-1 and von Hippel–Lindau are associated with the development of PNENs, although only a small portion of total tumors have a genetic basis. This review aims to explore the recent advances in laboratory diagnostics, imaging modalities, medical management, and surgical approaches to hormone-producing PNENs (including some common, less common, and some rare subtypes), with the goal of assisting physicians in the integration of evidence-based information into their practice. Full article

Background: Lysosomal-associated membrane protein 1 (LAMP1), typically localized to the lysosomal membrane, is increasingly implicated as a marker of cancer aggressiveness and metastasis when expressed on the cell surface. This study aimed to develop a LAMP1-targeted antibody-based PET tracer and assess its efficacy in mouse models of human breast and colon adenocarcinoma. Methods: To determine the source of LAMP1 expression, we utilized human single-cell RNA sequencing and spatial transcriptomics, complemented by in-house flow cytometry on xenografted mouse models. Tissue microarrays of multiple epithelial cancers and normal tissue were stained for LAMP-1, and staining was quantified. An anti-LAMP1 monoclonal antibody was conjugated with desferrioxamine (DFO) and labeled with zirconium-89 (⁸⁹Zr). Human triple-negative breast cancer (MDA-MB-231) and colon cancer (Caco-2) cell lines were implanted in nude mice. PET/CT imaging was conducted at 24, 72, and 168 h post-intravenous injection of ⁸⁹Zr-DFO-anti-LAMP1 and ⁸⁹Zr-DFO-IgG (negative control), followed by organ-specific biodistribution analyses at the final imaging time point. Results: Integrated single-cell and spatial RNA sequencing demonstrated that LAMP1 expression was localized to myeloid-derived suppressor cells (MDSCs) and cancer-associated fibroblasts (CAFs) in addition to the cancer cells. Tissue microarray showed significantly higher staining for LAMP-1 in tumor tissue compared to normal tissue (3986 ± 2635 vs. 1299 ± 1291, p < 0.001). Additionally, xenograft models showed a significantly higher contribution of cancer cells than the immune cells to cell surface LAMP1 expression. In vivo, PET imaging with ⁸⁹Zr-DFO-anti-LAMP1 PET/CT revealed detectable tumor uptake as early as 24 h post-injection. The ⁸⁹Zr-DFO-anti-LAMP1 tracer demonstrated significantly higher uptake than the control ⁸⁹Zr-DFO-IgG in both models across all time points (MDA-MB-231 SUV_max at 168 h: 12.9 ± 5.7 vs. 4.4 ± 2.4, p = 0.003; Caco-2 SUV_max at 168 h: 8.53 ± 3.03 vs. 3.38 ± 1.25, p < 0.01). Conclusions: Imaging of cell surface LAMP-1 in breast and colon adenocarcinoma is feasible by immuno-PET. LAMP-1 imaging can be expanded to adenocarcinomas of other origins, such as prostate and pancreas. Full article

Prompt and accurate identification of liver metastases from neuroendocrine tumors, arising from the gastrointestinal system and from the pancreas, through the means of both anatomical and functional diagnostic imaging techniques is mandatory. A patient’s prognosis and treatment planning are dependent on these diagnostic procedures. The aim of this narrative review is to depict the common appearance of liver metastases, as well as to depict atypical imaging patterns. Moreover, this review will cover the differential diagnosis between liver metastases from neuroendocrine tumors and other primary and secondary malignant liver lesions, as well as benign liver lesions. Full article

In this article, we present a case of a 49-year-old woman presenting with a recurrent metastatic neuroendocrine tumor. Background: Insulinomas are neuroendocrine tumors derived from beta cells of the pancreas that secrete insulin. Usually, they are benign tumors; however, metastatic insulinomas are an extremely rare malignant form of these tumors, carrying a significantly worse prognosis. Case Presentation: A 49-year-old woman, a patient in the University Hospital in Wroclaw in the Department of Endocrinology, Diabetes and Isotope Therapy, first presented with abdominal pain in 2009, when ultrasound and further examination led to the diagnosis of a tumor in the pancreas (a solid pseudopapillary tumor of the pancreas—meta NET G2), and the patient underwent distal pancreatectomy with splenectomy. For ten years, she was under observation, and her symptoms, such as abdominal pain, nausea, weight loss, and general weakness, reappeared in 2019. Then, magnetic resonance imaging (MRI) showed a lesion in the liver, and further histopathology revealed neuroendocrine tumor (NET) metastasis to the liver. In 2022, the patient presented with loss of consciousness and convulsion, loss of weight, and hypoglycemia after meals. In April 2022, the daily glycemic profile was recorded and a 72 h fasting test was performed; however, their results excluded insulinoma. Positron emission tomography–computed tomography (PET-CT) with 18F-fluorodeoxyglucose (18F-FDG) and PET with gallium-68-DOTA-(Tyr3)-octreotate (68Ga-DOTA-TATE) showed a metastatic proliferative process in the liver. Persistent hypoglycemia led to another hospitalization in May 2022, and repeated tests allowed for the diagnosis of insulinoma. Treatment with somatostatin analogs and diazoxide was started. A CT scan in November 2022 and a PET scan in January 2023 showed new metastases to the liver, bones, and cervical lymph nodes, and it was decided to intensify the treatment. In May 2023, the patient was qualified for Lutathera treatment for insulinoma at the University Clinical Hospital in Poznań. In June 2023, another disturbing symptom was reported by the patient, a painful lump in the breast. During diagnostics, metastases with high proliferation markers were found in both breasts. Two months later, in August 2023, the patient received another dose of Lutathera. In October 2023, significant progression of liver lesions, metastases to bones of the spine, ribs, and pelvis, and periaortic and pelvic lymphadenopathy were found as well as elevated values of neuron-specific enolase and calcitonin. The patient was also referred to the Palliative Medicine Home Hospice. In consultation with the Lower Silesian Cancer Center, the decision was made to forgo further treatment with PRRT and initiate systemic chemotherapy. Despite the chosen treatment, the patient died on 27/DEC/2023. Conclusions: This case report can serve clinicians, as it presents a case of an extremely rare and insidious tumor, metastatic insulinoma. Full article

Background: Pancreatic ductal adenocarcinoma (PDAC) is the most common pancreatic malignancy and is characterized by a very unfavorable prognosis. Rarely, patients may develop synchronous PDAC and another distinct primary pancreatic tumor, such as a pancreatic neuroendocrine tumor. This systematic review consolidates published case reports describing the presentation, imaging characteristics, management, and outcomes of patients with synchronous PDAC and other pancreatic malignancies. Methods: A comprehensive search of PubMed and Scopus identified 26 relevant case reports, with inclusion criteria focused on histologically confirmed synchronous pancreatic tumors and exclusion of metastatic disease. Results: The majority of patients present with two pancreatic lesions, often located in both the body and tail of the pancreas. Diagnostic imaging modalities, such as computed tomography and endoscopic ultrasound, reveal common findings. Tumor markers, particularly CA 19-9, are often elevated and aid in the diagnosis. Surgical approaches also vary according to tumor location and staging, with procedures ranging from Whipple surgery to total pancreatectomy. Chemotherapy is frequently employed postoperatively. Notably, lymph node involvement and larger tumor size are associated with poorer prognoses. Conclusions: In conclusion, these patients may present with a common or non-common clinical picture as well as laboratory and imaging findings, constituting an important and unique diagnostic and therapeutic challenge. Full article

With the increasing use of imaging modalities such as ultrasonography, computed tomography, and magnetic resonance imaging, incidental findings of pancreatic abnormalities, including pancreatic cysts and fatty pancreas (FP), have become more common. FP, also referred to as pancreatic steatosis, intra-pancreatic fat deposition, or fatty pancreas disease, is characterized by the accumulation of fat in the pancreas. Although FP has been associated with metabolic syndromes such as obesity and diabetes, its clinical significance remains unclear. Recent evidence suggests that FP may play a role in pancreatic carcinogenesis. Metabolic disorders, including obesity, insulin resistance, and diabetes, have been implicated in the development of FP. Additionally, FP has been linked to an increased risk of pancreatic ductal adenocarcinoma (PDAC), possibly due to chronic inflammation, lipotoxicity, and an altered pancreatic microenvironment. While early detection of PDAC remains challenging, surveillance strategies for high-risk individuals, such as those with pancreatic cysts, new-onset diabetes, or a genetic predisposition, may be crucial. In this context, FP may be incorporated into this surveillance of high-risk individuals. Some pharmacological interventions, including glucagon-like peptide-1 (GLP-1) receptor agonists and sodium-glucose cotransporter-2 (SGLT2) inhibitors, have shown potential in reducing pancreatic fat accumulation, although further studies are needed to confirm their efficacy. Full article

Background: Idiopathic duodenal hematoma is a rare clinical condition, typically associated with trauma, anticoagulation therapy, gastrointestinal procedures, or coagulopathies. We present a unique case of spontaneous duodenal hematoma in a patient without identifiable risk factors. Case presentation: We present the case of a 60-year-old Asian woman who presented to the emergency room (ER) with a 10-day history of progressive abdominal pain, early satiety, nausea, and vomiting. She had no history of trauma, anticoagulant use, or underlying predisposing conditions. On clinical evaluation, she was hemodynamically stable, and the initial laboratory results were unremarkable except for signs of dehydration and inflammation. A computed tomography (CT) scan revealed a heterogeneous lesion in the second portion of the duodenum, initially raising suspicion of a duodenal tumor. Further evaluation with magnetic resonance imaging (MRI) confirmed a duodenal hematoma with compression of the adjacent pancreas. Management and Outcome: The patient was managed conservatively with bowel rest, nasogastric decompression, intravenous (IV) fluid, and a proton pump inhibitor (PPI). Serial imaging demonstrated gradual hematoma resolution, with progressive improvement in her symptoms. She was discharged in stable condition and returned to normal activity after three weeks with complete hematoma resolution as seen on follow-up imaging. Conclusions: This case highlights the importance of considering spontaneous hematoma in the differential diagnosis of abdominal pain, even without risk factors. Early diagnosis and conservative treatment remain the mainstay of management and can lead to full recovery in uncomplicated cases. Full article

Multiple endocrine neoplasia type 1 (MEN-1) is an autosomal dominant inherited syndrome characterized by a genetic predisposition for the development of specific hormone-secreting tumors. Effective diagnosis and management of MEN-1 require genetic testing, regular surveillance, and imaging follow-up to detect and monitor tumor growth or recurrence and to plan for surgical intervention. The aim of this narrative review is to provide an overview of the current imaging modalities and their role in the diagnosis and follow-up of patients affected by MEN-1, focusing on the detection and characterization of associated neoplasms. The knowledge of the most frequent MEN-1 associated neoplasms and their imaging features is crucial for an accurate diagnosis, management, and treatment. Full article

Background: Gastrointestinal bleeding (GIB) is a frequent emergency department (ED) presentation with rare but life-threatening causes, including arterio-enteric fistulas (AEF), which account for less than 1% of GIB cases. Ilio-enteric fistulas are even more rare but have similar morbidity and mortality. Methods: This case report describes a 51-year-old male with a history of type 2 diabetes mellitus, diabetic retinopathy, and pancreas–kidney transplantation who presented to the ED with a massive hemorrhage from an ilio-enteric fistula. Despite initial stability, the patient became hypotensive and deteriorated to pulseless electrical activity (PEA) arrest. Despite multiple arrests, he survived and was discharged to a rehabilitation facility. Results: AEFs, particularly iliac-enteric fistulas, are diagnostically challenging and often present with nonspecific symptoms. Diagnostic imaging, especially CT angiography, is crucial, although initial non-contrast CT may miss the diagnosis. Early consultation with vascular surgery is essential for managing these patients. Conclusions: This case underscores the need to consider AEF in the differential diagnosis of GIB, particularly in post-transplant patients, and highlights the importance of prompt intervention. Full article

(1) Acute pancreatitis (AP) is a medical emergency associated with high mortality rates. Early and accurate prognosis assessment during admission is crucial for optimizing patient management and outcomes. This study seeks to develop robust radiomics-based machine learning (ML) models to classify the severity of AP using contrast-enhanced computed tomography (CECT) scans. (2) Methods: A retrospective cohort of 287 AP patients with CECT scans was analyzed, and clinical data were collected within 72 h of admission. Patients were classified as mild or moderate/severe based on the Revised Atlanta classification. Two radiologists manually segmented the pancreas and peripancreatic regions on CECT scans, and 234 radiomic features were extracted. The performance of the ML algorithms was compared with that of traditional scoring systems, including Ranson and Glasgow-Imrie scores. (3) Results: Traditional severity scoring systems produced AUC values of 0.593 (Ranson, Admission), 0.696 (Ranson, 48 h), 0.677 (Ranson, Cumulative), and 0.663 (Glasgow-Imrie). Using LASSO regression, 12 radiomic features were selected for the ML classifiers. Among these, the best-performing ML classifier achieved an AUC of 0.876 in the training set and 0.777 in the test set. (4) Conclusions: Radiomics-based ML classifiers significantly enhanced the prediction of AP severity in patients undergoing CECT scans within 72 h of admission, outperforming traditional severity scoring systems. This research is the first to successfully predict prognosis by analyzing radiomic features from both pancreatic and peripancreatic tissues using multiple ML algorithms applied to early CECT images. Full article

Background and Objectives: With physiological aging, the pancreas is expected to decrease in size as in every organ. The objective of this study was to examine the correlation between pancreas volume (PV), nutritional status, and glycolyzed hemoglobin A1c (HbA1c) in elderly patients with and without type 2 diabetes mellitus (DM). Materials and Methods: Between July 2020 and April 2022, 109 patients aged ≥ 65 years who applied to geriatrics clinics and outpatient clinics were included in the study. PV was measured from available abdominal contrast-enhanced computed tomography (CT) scans. Patients were divided into two groups according to the presence of DM. The relationship between PV; biochemical parameters, especially HbA1c; and Mini Nutritional Assessment Short Form (MNAsf) score was analyzed between groups. p < 0.05 was considered statistically significant. Results: The mean age of all participants was M: 77.40, with SD: 7.32. A total of 54.1% of the participants were female, and 55 had DM. There were no significant differences in age and gender between those with and without DM. Glucose (p < 0.001), HbA1C (p < 0.001), and triglycerides (p < 0.001) were significantly higher, and HDL (p < 0.001) was significantly lower in patients with DM. PV was also significantly lower in those with DM (p = 0.028). A correlation analysis revealed significant positive correlations between PV, the MNAsf score (rho (109)) = 0.413, p = 0.003), and lipase (rho (109)) = 0.297, p = 0.002). Conclusions: PV, which is expected to decrease with age, was found to be lower in patients with DM in our study in which we evaluated elderly patients with and without DM. We also found that PV was associated with malnutrition. Our study highlights the importance of determining the clinical effects of pancreatic volume in the geriatric population where organ atrophy is expected. Therefore, we believe that more comprehensive studies are needed to clarify the clinical implications of pancreatic volume on our diagnostic and therapeutic decisions. Full article

Background and Objectives: The pancreas receives blood through a complex network of multiple branches, primarily originating from the celiac trunk (CeT) and the superior mesenteric artery (SMA). This blood supply is structured into three main arterial groups, each serving different regions of the pancreas to effectively support its endocrine and exocrine functions. Materials and Methods: The databases Medline, Scopus, Web of Science, Google Scholar, Cumulative Index to Nursing and Allied Health Literature (CINAHL) and Latin American and the Caribbean Literature in Health Sciences (LILACS) were searched until January 2025. Methodological quality was evaluated using an assurance tool for anatomical studies (AQUA). Pooled prevalence was estimated using a random effects model. Results: A total of sixteen studies met the established selection criteria in this study for meta-analysis. Pancreatic irrigation variants presented a prevalence of 11.2% (CI: 7–14%) and a heterogeneity of 88.2%. The other studies were analyzed by subgroups, showing statistically significant differences in the following subgroups: (1) sample type—a larger sample of images analyzed in the included studies (p = 0.312), which did not show statistically significant differences; (2) geographical region (p = 0.041), which showed a greater presence in the Asian population studied, and this was statistically significant; and (3) sex (male or female) (p = 0.12), where there were no statistically significant differences. Conclusions: The discovery of variations in pancreatic irrigation is common due to the numerous blood vessels involved in supplying this vital organ. Understanding different vascular patterns (such as those from the splenic and mesenteric arteries) is crucial for surgical interventions on the pancreas. For transplant patients, a thorough vascular analysis of both the donor and recipient is essential. Variations can impact blood flow and compatibility, potentially leading to transplant rejection if not addressed. To enhance outcomes, it is recommended to develop more accurate imaging tools for pre-surgical analysis, necessitating ongoing research in this area. Full article

Background: This study analyzed different classifier models for differentiating pancreatic adenocarcinoma from surrounding healthy pancreatic tissue based on radiomic analysis of magnetic resonance (MR) images. Methods: We observed T2W-FS and ADC images obtained by 1.5T-MR of 87 patients with histologically proven pancreatic adenocarcinoma for training and validation purposes and then tested the most accurate predictive models that were obtained on another group of 58 patients. The tumor and surrounding pancreatic tissue were segmented on three consecutive slices, with the largest area of interest (ROI) of tumor marked using MaZda v4.6 software. This resulted in a total of 261 ROIs for each of the observed tissue classes in the training–validation group and 174 ROIs in the testing group. The software extracted a total of 304 radiomic features for each ROI, divided into six categories. The analysis was conducted through six different classifier models with six different feature reduction methods and five-fold subject-wise cross-validation. Results: In-depth analysis shows that the best results were obtained with the Random Forest (RF) classifier with feature reduction based on the Mutual Information score (all nine features are from the co-occurrence matrix): an accuracy of 0.94/0.98, sensitivity of 0.94/0.98, specificity of 0.94/0.98, and F1-score of 0.94/0.98 were achieved for the T2W-FS/ADC images from the validation group, retrospectively. In the testing group, an accuracy of 0.69/0.81, sensitivity of 0.86/0.82, specificity of 0.52/0.70, and F1-score of 0.74/0.83 were achieved for the T2W-FS/ADC images, retrospectively. Conclusions: The machine learning approach using radiomics features extracted from T2W-FS and ADC achieved a relatively high sensitivity in the differentiation of pancreatic adenocarcinoma from healthy pancreatic tissue, which could be especially applicable for screening purposes. Full article

Background/Objectives: Gastrin-releasing peptide receptor is a promising target for cancer diagnosis and therapy. However, the high pancreas uptake of reported GRPR-targeted radioligands limits their clinical applications. Our group previously reported one ⁶⁸Ga-labeled GRPR antagonist, [⁶⁸Ga]Ga-TacsBOMB5 (⁶⁸Ga-DOTA-Pip-[D-Phe⁶,NMe-Gly¹¹,Leu¹³ψThz¹⁴]Bombesin(6–14)), and two agonists, [⁶⁸Ga]Ga-LW01110 (⁶⁸Ga-DOTA-Pip-[D-Phe⁶,Tle¹⁰,NMe-His¹²,Thz¹⁴]Bombesin(6–14)) and [⁶⁸Ga]Ga-LW01142 (⁶⁸Ga-DOTA-Pip-[D-Phe⁶,His⁷,Tle¹⁰,NMe-His¹²,Thz¹⁴]Bombesin(6–14)) showing minimal pancreas uptake. Thus, in this study, we prepared their ¹⁷⁷Lu-labeled analogs, evaluated their therapeutic potentials, and compared them with the clinically evaluated [¹⁷⁷Lu]Lu-AMBA. Methods: GRPR binding affinities were determined by in vitro competition binding assay using PC-3 prostate cancer cells. Longitudinal SPECT/CT imaging and ex vivo biodistribution studies were conducted in PC-3 tumor-bearing mice. Dosimetry data were calculated from the biodistribution results. Results: The K_i(GRPR) values of Lu-TacsBOMB5, Lu-LW01110, Lu-LW01142, and Lu-AMBA were 12.6 ± 1.02, 3.07 ± 0.15, 2.37 ± 0.28, and 0.33 ± 0.16 nM, respectively. SPECT/CT images and biodistribution results demonstrated good tumor accumulation of [¹⁷⁷Lu]Lu-TacsBOMB5, [¹⁷⁷Lu]Lu-LW01110, and [¹⁷⁷Lu]Lu-LW01142 at early time points with rapid clearance over time. The pancreas uptake of all three [Thz¹⁴]Bombesin(6–14)-derived ligands was significantly lower than that of [¹⁷⁷Lu]Lu-AMBA at all time points. The calculated absorbed doses of [¹⁷⁷Lu]Lu-TacsBOMB5, [¹⁷⁷Lu]Lu-LW01110, and [¹⁷⁷Lu]Lu-LW01142 in PC-3 tumor xenografts were 87.1, 312, and 312 mGy/MBq, respectively, higher than that of [¹⁷⁷Lu]Lu-AMBA (79.1 mGy/MBq), but lower than that of the previously reported [¹⁷⁷Lu]Lu-RM2 (429 mGy/MBq). Conclusions: Our data suggest that [¹⁷⁷Lu]Lu-TacsBOMB5 and [¹⁷⁷Lu]Lu-LW01142 reduce radiation exposure to the pancreas. However, further optimizations are needed for both radioligands to prolong their tumor retention and enhance treatment efficacy. Full article

Background/Objectives: Accurate identification of grade 1 (G1) pancreatic neuroendocrine tumors (PanNETs) is crucial due to their rising incidence and emerging nonsurgical management strategies. This study evaluated whether combining conventional CT imaging features, CT radiomics features, and clinical data improves differentiation of G1 PanNETs from higher-grade tumors (G2/G3 PanNETs and pancreatic neuroendocrine carcinomas [PanNECs]) compared to using these features individually. Methods: A retrospective analysis included 133 patients with pathologically confirmed PanNETs or PanNECs (70 males, 63 females; mean age, 58.5 years) who underwent pancreas protocol CT. A total of 28 conventional imaging features, 4892 radiomics features, and clinical data (age, gender, and tumor location) were analyzed using a support vector machine (SVM) model. Data were divided into 70% training and 30% testing sets. Results: The SVM model using the top 10 conventional imaging features (e.g., suspicious lymph nodes and hypoattenuating tumors) achieved 75% sensitivity, 81% specificity, and 79% accuracy for identifying higher-grade tumors (G2/G3 PanNETs and PanNECs). The top 10 radiomics features yielded 94% sensitivity, 46% specificity, and 69% accuracy. Combining all features (imaging, radiomics, and clinical data) improved performance, with 94% sensitivity, 69% specificity, 79% accuracy, and an F1-score of 0.77. The radiomics score demonstrated an AUC of 0.85 in the training and 0.83 in the testing set. Conclusions: Conventional imaging features provided higher specificity, while radiomics offered greater sensitivity for identifying higher-grade tumors. Integrating all three features improved diagnostic accuracy, highlighting their complementary roles. This combined model may serve as a valuable tool for distinguishing higher-grade tumors from G1 PanNETs and potentially guiding patient management. Full article