Magnetic resonance imaging radiomics-based machine learning model for preoperative prediction of pathological grade in pancreatic cancer: A preliminary study

MRI radiomics-based machine learning model is a potential non-invasive method to predict the pathological grade of pancreatic cancer.

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Publication Details

Journal
European Journal of Radiology Open
Published
2025-11-08
DOI
https://doi.org/10.1016/j.ejro.2025.100703
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Magnetic resonance imaging radiomics-based machine learning model for preoperative prediction of pathological grade in pancreatic cancer: A preliminary study

Su Hu, Jiayi Bao, Ximing Wang, Yuanqing Liu et al.
European Journal of Radiology Open
Pancreatic and Hepatic Oncology Research
article

Magnetic resonance imaging radiomics-based machine learning model for preoperative prediction of pathological grade in pancreatic cancer: A preliminary study

Su Hu, Jiayi Bao, Ximing Wang, Yuanqing Liu, Chunhong Hu, Yang Yu
article en

Abstract

MRI radiomics-based machine learning model is a potential non-invasive method to predict the pathological grade of pancreatic cancer.

European Journal of Radiology OpenVol. 15
Soochow University (CN), First Affiliated Hospital of Soochow University (CN)
Openalex Percentile: Top 54%
Pancreatic and Hepatic Oncology Research
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