MRI-based radiomics for stratifying recurrence risk of early-onset rectal cancer: a multicenter study

The EORC-ClinPathRadiom model can effectively predict and stratify the risk of post-operative recurrence in EORC patients.

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Publication Details

Journal
ESMO Open
Published
2024-10-01
DOI
https://doi.org/10.1016/j.esmoop.2024.103735
Citations
9
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
3.64
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article

MRI-based radiomics for stratifying recurrence risk of early-onset rectal cancer: a multicenter study

Peijuan Zhu, Bo Li, Tian Xia, X-C Meng et al.
9 citations
ESMO Open
Radiomics and Machine Learning in Medical Imaging
3.64
article

MRI-based radiomics for stratifying recurrence risk of early-onset rectal cancer: a multicenter study

Peijuan Zhu, Bo Li, Tian Xia, X-C Meng, K-X Niu, S.-D. Xie, Z-M Zeng, Z-H Li, S.-I. Fu, P-Y Xie, D-C Ma, J-Y Zhu
article en
9 citations

Abstract

The EORC-ClinPathRadiom model can effectively predict and stratify the risk of post-operative recurrence in EORC patients.

ESMO OpenVol. 9(10)
Sun Yat-sen University (CN), Kunming Medical University (CN), Sixth Affiliated Hospital of Sun Yat-sen University (CN), Third Affiliated Hospital of Sun Yat-sen University (CN)
Good health and well-being
Openalex Percentile: Top 7%
Radiomics and Machine Learning in Medical Imaging
3.64
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