Preoperative prediction of metachronous liver metastasis in colorectal cancer using a deep learning-based radiomics model with automatic segmentation: a multicenter study

An automatic segmentation model based on deep learning enables accurate delineation of CRC and liver regions. Furthermore, clinical-radiomic nomogram demonstrates high accuracy in identifying patients at elevated risk of metachronous liver metastasis, thereby supporting clinicians in optimizing therapeutic strategies and facilitating personalized treatment planning.

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Publication Details

Journal
European journal of medical research
Published
2026-03-02
DOI
https://doi.org/10.1186/s40001-026-04132-2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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Preoperative prediction of metachronous liver metastasis in colorectal cancer using a deep learning-based radiomics model with automatic segmentation: a multicenter study

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European journal of medical research
Radiomics and Machine Learning in Medical Imaging
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Preoperative prediction of metachronous liver metastasis in colorectal cancer using a deep learning-based radiomics model with automatic segmentation: a multicenter study

Datian Su, Shuai Li, Cuiping Li, Xingwang Wu, Yinzhong Chen, Kaicai Liu, Xiaoer Zhao, Baichuan Mu, Chang Rong, Wei Guo, Xiaomin Zheng, Bo Cao
article en

Abstract

An automatic segmentation model based on deep learning enables accurate delineation of CRC and liver regions. Furthermore, clinical-radiomic nomogram demonstrates high accuracy in identifying patients at elevated risk of metachronous liver metastasis, thereby supporting clinicians in optimizing therapeutic strategies and facilitating personalized treatment planning.

European journal of medical research
University of Science and Technology of China (CN), Anhui Medical University (CN), Affiliated Hospital of Taishan Medical University (CN), Anhui Provincial Hospital (CN), First Affiliated Hospital of Anhui Medical University (CN), Second Affiliated Hospital of Nanjing Medical University (CN), Shandong First Medical University (CN)
Good health and well-being
Openalex Percentile: Top 38%
Radiomics and Machine Learning in Medical Imaging
DOIOpen Access PDFOpenAlex
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