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. |
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| 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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41513849 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An interpretable machine learning model based on MRI radiomics and GAME score for predicting early recurrence after thermal ablation in colorectal liver metastases. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kong+Y%22">Kong Y</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Wan+L%22">Wan L</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Yue+X%22">Yue X</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Tang+F%22">Tang F</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Zhou+X%22">Zhou X</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228607899%22">International journal of colorectal disease</searchLink> [Int J Colorectal Dis] 2026 Jan 09; Vol. 41 (1), pp. 29. <i>Date of Electronic Publication: </i>2026 Jan 09. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>8607899 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1262 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201791958%22">01791958 </searchLink><i>NLM ISO Abbreviation: </i>Int J Colorectal Dis <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41513849 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00384-025-05079-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 29 Titles: – TitleFull: An interpretable machine learning model based on MRI radiomics and GAME score for predicting early recurrence after thermal ablation in colorectal liver metastases. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kong Y – PersonEntity: Name: NameFull: Wan L – PersonEntity: Name: NameFull: Yue X – PersonEntity: Name: NameFull: Tang F – PersonEntity: Name: NameFull: Zhou X IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 01 Text: 2026 Jan 09 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1432-1262 Numbering: – Type: volume Value: 41 – Type: issue Value: 1 Titles: – TitleFull: International journal of colorectal disease Type: main |
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