A machine learning model based on preoperative multiparametric quantitative DWI can effectively predict the survival and recurrence risk of pancreatic ductal adenocarcinoma

Abstract Purpose To develop a machine learning (ML) model combining preoperative multiparametric diffusion-weighted imaging (DWI) and clinical features to better predict overall survival (OS) and recurrence-free survival (RFS) following radical surgery for pancreatic ductal adenocarcinoma (PDAC). Ma...

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Detalhes bibliográficos

Principais autores:	Chao Qu, Piaoe Zeng, Changlei Li, Weiyu Hu, Dongxia Yang, Hangyan Wang, Huishu Yuan, Jingyu Cao, Dianrong Xiu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	SpringerOpen 2025-02-01
coleção:	Insights into Imaging
Assuntos:	Pancreatic ductal adenocarcinoma Diffusion-weighted imaging Machine learning Prognosis Prediction model
Acesso em linha:	https://doi.org/10.1186/s13244-025-01915-9
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