<scp>CT</scp> ‐based radiomics–clinical machine‐learning model to predict completeness of cytoreduction in colorectal peritoneal metastases

A CT-based radiomic-clinical model accurately predicts CC pre-operatively. This exploratory proof-of-concept model supports multicentre external validation to enhance decision-making for CRS ± HIPEC in CPM.

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Publication Details

Journal
Colorectal Disease
Published
2026-02-01
DOI
https://doi.org/10.1111/codi.70409
Primary Topic
Intraperitoneal and Appendiceal Malignancies
Type
article
Field-Weighted Citation Impact
0.00
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article

CT ‐based radiomics–clinical machine‐learning model to predict completeness of cytoreduction in colorectal peritoneal metastases

Alan X. Wang, Jesse Fischer, Samuel Pau, Timothy Eglinton et al.
Colorectal Disease
Intraperitoneal and Appendiceal Malignancies
article

CT ‐based radiomics–clinical machine‐learning model to predict completeness of cytoreduction in colorectal peritoneal metastases

Alan X. Wang, Jesse Fischer, Samuel Pau, Timothy Eglinton, Ghazal Mehri‐Kakavand
article en

Abstract

A CT-based radiomic-clinical model accurately predicts CC pre-operatively. This exploratory proof-of-concept model supports multicentre external validation to enhance decision-making for CRS ± HIPEC in CPM.

Colorectal DiseaseVol. 28(2)
University of Auckland (NZ), Auckland University of Technology (NZ), University of Waikato (NZ), University of Otago (NZ)
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 53%
Intraperitoneal and Appendiceal Malignancies
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