CT-based machine learning radiomics predicts Ki-67 expression level and its relationship with overall survival in resectable pancreatic ductal adenocarcinoma.

Background: The prognostic prediction of pancreatic ductal adenocarcinoma (PDAC) remains challenging. This study aimed to develop a radiomics model to predict Ki-67 expression status in PDAC patients using radiomics features from dual-phase enhanced CT, and integrated clinical characteristics to cre...

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Bibliographic Details

Published in:	Abdominal Radiology Vol. 50; no. 8; pp. 3698 - 3712
Main Authors:	Chen, Jiahao, Ma, Zhuangxuan, Xu, Yamin, Ge, Jieqiong, Yao, Hongfei, Li, Chunjing, Hu, Xiao, Pu, Yunlong, Li, Ming, Jiang, Chongyi
Format:	Journal Article
Published:	Springer Nature Aug2025
Online Access:	View this record in EBSCOhost