A predictive model to identify optimal candidates for surgery among patients with metastatic colorectal cancer

A predictive model to identify optimal candidates for surgery among patients with metastatic colorectal cancer

PurposeTo improve clinical decision-making, we developed a predictive model to identify metastatic colorectal cancer (mCRC) patients who might benefit from primary tumor resection (PTR).Patients and MethodsWe extracted clinical data of stage IV CRC patients between 2010 and 2019 from the Surveillanc...

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Bibliographic Details
Main Authors: Xiqiang Zhang, Zhaoyi Jing, Longchao Wu, Ze Tao, Dandan Lu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Oncology
Subjects:
primary tumor resection
machine learning
metastatic colorectal cancer
cancer specific survival
predictive model
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1573431/full
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