ArticleAbdominal radiology (New York)2026
Prediction of post-hepatectomy liver failure risk in patients with colorectal cancer liver metastases utilizing gadoxetic acid-enhanced MRI radiomics with automatic segmentation and image registration.
Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
8 authors.
Funding
Abstract
objectivesTo develop and validate a radiomics model based on gadoxetic acidenhanced MRI, which can better reflect the future liver remnant (FLR) and its function through automatic segmentation and image registration, thereby predicting the risk of post-hepatectomy liver failure (PHLF) in patients with colorectal cancer liver metastases (CRLM).
methodsThis retrospective study analyzed 134 CRLM patients who were divided into a training group (n = 93) and a validation group (n = 41). Model-
resultsThere were three and five radiomics features used for constructing Model-
conclusionModel-
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