Evidence map›Paper›PMID 42799748›Full record

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.

Qian Xing, Yong Cui, Ming Liu, Hai-Tao Zhu, Xiao-Lei Gu, Xiao-Ting Li, Bao-Cai Xing, Ying-Shi Sun

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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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qian XingPeking University Cancer Hospital, Beijing, China.
Yong CuiPeking University Cancer Hospital, Beijing, China.
Ming LiuPeking University Cancer Hospital, Beijing, China.
Hai-Tao ZhuPeking University Cancer Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-2058-5806
Xiao-Lei GuPeking University Cancer Hospital, Beijing, China.
Xiao-Ting LiPeking University Cancer Hospital, Beijing, China.
Bao-Cai XingPeking University Cancer Hospital, Beijing, China. xingbaocai88@sina.com.
Ying-Shi SunPeking University Cancer Hospital, Beijing, China. sys27@163.com.ORCID https://orcid.org/0000-0001-9424-1910

Funding

Beijing Natural Science Foundation L242038Fund of Scientific Research of Public Hospital Reform and High Quality Development Demonstration Program (Digestive Tract Tumors) of Peking University Cancer Hospital (Inner Mongolia Campus) 2023SGGZ075Natural Science Foundation of Inner Mongolia Autonomous Region of China 2024MS08005Science and Technology Program of the Joint Fund of Scientific Research for the Public Hospitals of Inner Mongolia Academy of Medical Sciences 2023GLLH0122Science Foundation of Peking University Cancer Hospital XKFZ2613
6 · The paper itself

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-

Indexed as

Future liver remnantMRIPost-hepatectomy liver failureRadiomics

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.