Obstructive Jaundice Caused by Metastatic Neuroendocrine Tumor of the Ampulla of Vater in a Young Adult: A Case Report.

Introduction: Ampullary neuroendocrine tumors (NETs) are usually diagnosed in the 5th-6th decades of life, and no cases were reported in <20 years of age. We report a rare case, presenting at a very young age, of well-differentiated NET involving the ampulla of Vater with lymph node metastasis. Case Presentation: An 18-year-old man presented with a 3-month history of upper abdominal pain and jaundice. Abdominal ultrasound showed a dilated common bile duct, and endoscopic retrograde cholangiopancreatography revealed two duodenal polypoid lesions, one of them overlying the ampulla of Vater, with an erythematous and ulcerated surface. Histopathological examination confirmed the diagnosis of NET grade 1. Octreotide scan revealed 2 para-aortic lymph nodes with intense radiotracer uptake. The patient had undergone Whipple surgery with para-aortic lymph node dissection. Histopathological examination of the surgical specimens was confirmatory of NET grade 2 and paraganglioma in a few of the dissected lymph nodes. Postoperatively, the patient was kept on monthly intramuscular octreotide. Follow-up gallium-68 DOTATATE is unremarkable apart from an avid left para-aortic lymph node which is showing stability over 12 months of follow-up. Conclusion: This case demonstrates that NETs of the ampulla of Vater can present at a very young age. Radical surgical excision with extended lymph node dissection and postoperative octreotide is associated with better patient outcomes and survival.

Imaging Genomics and Multiomics: A Guide for Beginners Starting Radiomics-Based Research.

Radiomics uses advanced mathematical analysis of pixel-level information from radiologic images to extract existing information in traditional imaging algorithms. It is intended to find imaging biomarkers related to the genomics of tumors or disease patterns that improve medical care by advanced detection of tumor response patterns in tumors and to assess prognosis. Radiomics expands the paradigm of medical imaging to help with diagnosis, management of diseases and prognostication, leveraging image features by extracting information that can be used as imaging biomarkers to predict prognosis and response to treatment. Radiogenomics is an emerging area in radiomics that investigates the association between imaging characteristics and gene expression profiles. There are an increasing number of research publications using different radiomics approaches without a clear consensus on which method works best. We aim to describe the workflow of radiomics along with a guide of what to expect when starting a radiomics-based research project.