Improved treatment of colorectal liver metastases by early response evaluation and regimen adjustment: a prospective study of clinical functional MR-based modeling

A functional MR signature effectively predicted the chemotherapy response and long-term survival. The adjustment of the regimen guided by the model significantly improved the ORR.

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Publication Details

Journal
Cancer Biology and Medicine
Published
2025-02-21
DOI
https://doi.org/10.20892/j.issn.2095-3941.2024.0389
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Improved treatment of colorectal liver metastases by early response evaluation and regimen adjustment: a prospective study of clinical functional MR-based modeling

Jinjia Chang, Zhe Gong, Li‐Xin Qiu, Huan Zhang et al.
Cancer Biology and Medicine
Radiomics and Machine Learning in Medical Imaging
article

Improved treatment of colorectal liver metastases by early response evaluation and regimen adjustment: a prospective study of clinical functional MR-based modeling

Jinjia Chang, Zhe Gong, Li‐Xin Qiu, Huan Zhang, Xuedan Sheng, Wenhua Li, Chenchen Wang, Yue Li, Zhe Zhang, Zhiyu Chen, Xiaodong Zhu, Tong Tong, Weijian Guo, Qirong Geng, Wen Zhang, Xiaoying Zhao, Mingzhu Huang
article en

Abstract

A functional MR signature effectively predicted the chemotherapy response and long-term survival. The adjustment of the regimen guided by the model significantly improved the ORR.

Cancer Biology and MedicineVol. 22(2)
Shanghai Medical College of Fudan University (CN), Fudan University Shanghai Cancer Center (CN), Shandong Tumor Hospital (CN), Shandong First Medical University (CN)
Good health and well-being
Openalex Percentile: Top 95%
Radiomics and Machine Learning in Medical Imaging
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