Machine-learning based investigation of prognostic indicators for oncological outcome of pancreatic ductal adenocarcinoma

Machine-learning based investigation of prognostic indicators for oncological outcome of pancreatic ductal adenocarcinoma

IntroductionPancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy with a poor prognosis. Surgical resection remains the only potential curative treatment option for early-stage resectable PDAC. Patients with locally advanced or micrometastatic disease should ideally undergo neoadjuvant...

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Bibliographic Details
Main Authors: Jeremy Chang, Yanan Liu, Stephanie A. Saey, Kevin C. Chang, Hannah R. Shrader, Kelsey L. Steckly, Maheen Rajput, Milan Sonka, Carlos H. F. Chan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Oncology
Subjects:
machine learning
neural network
pancreatectomy
pancreatic cancer
surgical outcome
radiomics
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.895515/full

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