An interpretable machine learning model based on MRI radiomics and GAME score for predicting early recurrence after thermal ablation in colorectal liver metastases.

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Title: An interpretable machine learning model based on MRI radiomics and GAME score for predicting early recurrence after thermal ablation in colorectal liver metastases.
Authors: Kong Y; Department of Interventional Therapy, National Cancer Centre/National Clinical Research Centre for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China., Wan L; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China., Yue X; Department of Interventional Therapy, National Cancer Centre/National Clinical Research Centre for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China., Tang F; Department of Interventional Therapy, National Cancer Centre/National Clinical Research Centre for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China., Zhou X; Department of Interventional Therapy, National Cancer Centre/National Clinical Research Centre for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. zhouxiang2025@yeah.net.
Source: International journal of colorectal disease [Int J Colorectal Dis] 2026 Jan 09; Vol. 41 (1), pp. 29. Date of Electronic Publication: 2026 Jan 09.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 8607899 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-1262 (Electronic) Linking ISSN: 01791958 NLM ISO Abbreviation: Int J Colorectal Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1432-1262
DOI:10.1007/s00384-025-05079-2