Deep learning models based on multiparametric magnetic resonance imaging and clinical parameters for identifying synchronous liver metastases from rectal cancer

Deep learning models based on multiparametric magnetic resonance imaging and clinical parameters for identifying synchronous liver metastases from rectal cancer

Abstract Objectives To establish and validate deep learning (DL) models based on pre-treatment multiparametric magnetic resonance imaging (MRI) images of primary rectal cancer and basic clinical data for the prediction of synchronous liver metastases (SLM) in patients with Rectal cancer (RC). Method...

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Bibliographic Details
Main Authors: Jing Sun, Pu-Yeh Wu, Fangmin Shen, Xingfa Chen, Jieqiong She, Mingcong Luo, Feifei Feng, Dechun Zheng
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Medical Imaging
Subjects:
Diagnostic model
Rectal cancer
Deep learning radiomics
Magnetic resonance imaging
Synchronous liver metastases
Online Access:https://doi.org/10.1186/s12880-025-01692-3
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https://doi.org/10.1186/s12880-025-01692-3

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