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Duodenal Neoplasms

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A Support Vector Machine Model Predicting the Risk of Duodenal Cancer in Patients with Familial Adenomatous Polyposis at the Transcript Levels.

BioMed research international 32626748
OBJECTIVE: Familial adenomatous polyposis (FAP) is one major type of inherited duodenal cancer. The estimate of duodenal cancer risk in patients with FAP is critical for selecting the optimal treatment strategy.
Adenomatous Polyposis Coli Computational Biology Databases, Genetic Duodenal Neoplasms Humans Metabolic Networks and Pathways Risk Assessment Support Vector Machine Transcriptome
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Application of Convolutional Neural Networks for Detection of Superficial Nonampullary Duodenal Epithelial Tumors in Esophagogastroduodenoscopic Images.

Clinical and translational gastroenterology 32352719
OBJECTIVES: A superficial nonampullary duodenal epithelial tumor (SNADET) is defined as a mucosal or submucosal sporadic tumor of the duodenum that does not arise from the papilla of Vater. SNADETs rarely metastasize to the lymph nodes, and most can ...
Adult Aged Aged, 80 and over Datasets as Topic Deep Learning Duodenal Neoplasms Duodenum Endoscopy, Digestive System Female Humans Image Processing, Computer-Assisted Male Middle Aged Neoplasms, Glandular and Epithelial Time Factors Tumor Burden
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Robotic Excision of a Duodenal Gastrointestinal Stromal Tumor.

Annals of surgical oncology 34313888
Duodenal Neoplasms Duodenum Gastrointestinal Stromal Tumors Humans Robotic Surgical Procedures Robotics
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Development and external validation of a machine learning-based model to predict postoperative recurrence in patients with duodenal adenocarcinoma: a multicenter, retrospective cohort study.

BMC medicine 39984949
BACKGROUND: Duodenal adenocarcinoma (DA) has a high recurrence rate, making the prediction of recurrence after surgery critically important.
Adenocarcinoma Adult Aged China Duodenal Neoplasms Female Humans Machine Learning Male Middle Aged Neoplasm Recurrence, Local Retrospective Studies
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