Novel machine‐learning model for predicting lymph node metastasis in resectable pancreatic ductal adenocarcinoma

Novel machine‐learning model for predicting lymph node metastasis in resectable pancreatic ductal adenocarcinoma

Abstract Aim Lymph node metastasis is an adverse prognostic factor in pancreatic ductal adenocarcinoma. However, it remains a challenge to predict lymph node metastasis using preoperative imaging alone. We used machine learning (combining preoperative imaging findings, tumor markers, and clinical in...

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Bibliographic Details
Main Authors: Susumu Daibo, Yuki Homma, Hiroki Ohya, Hironori Fukuoka, Kentaro Miyake, Mayumi Ozawa, Takafumi Kumamoto, Ryusei Matsuyama, Yusuke Saigusa, Itaru Endo
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Annals of Gastroenterological Surgery
Subjects:
adenocarcinoma
early diagnosis
lymphatic metastasis
machine learning
pancreatic neoplasms
Online Access:https://doi.org/10.1002/ags3.12836
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https://doi.org/10.1002/ags3.12836

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