Preoperative CT-based morphological heterogeneity for predicting survival in patients with colorectal cancer liver metastases after surgical resection: a retrospective study

Preoperative CT-based MH had good efficacy for predicting LTDFS and PFS of CRLM patients after surgical resection, regardless of preoperative treatment. MH is one of the independent predictors of PFS.

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Publication Details

Journal
BMC Medical Imaging
Published
2024-12-18
DOI
https://doi.org/10.1186/s12880-024-01524-w
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.81
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article

Preoperative CT-based morphological heterogeneity for predicting survival in patients with colorectal cancer liver metastases after surgical resection: a retrospective study

Baocai Xing, Ming Liu, Xiaoting Li, Yong Cui et al.
2 citations
BMC Medical Imaging
Radiomics and Machine Learning in Medical Imaging
0.81
article

Preoperative CT-based morphological heterogeneity for predicting survival in patients with colorectal cancer liver metastases after surgical resection: a retrospective study

Baocai Xing, Ming Liu, Xiaoting Li, Yong Cui, Qian Xing, Xiaolei Gu, Ying-Shi Sun
article en
2 citations

Abstract

Preoperative CT-based MH had good efficacy for predicting LTDFS and PFS of CRLM patients after surgical resection, regardless of preoperative treatment. MH is one of the independent predictors of PFS.

BMC Medical ImagingVol. 24(1)
Peking University (CN), Peking University Cancer Hospital (CN), Ministry of Education (ET)
Good health and well-being
Openalex Percentile: Top 24%
Radiomics and Machine Learning in Medical Imaging
0.81
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