Machine learning models classifiers enable a strong prediction of radioembolization-induced liver disease, and define a new bilirubin threshold for selection of patients.
Saved in:
| Title: | Machine learning models classifiers enable a strong prediction of radioembolization-induced liver disease, and define a new bilirubin threshold for selection of patients. |
|---|---|
| Authors: | Rivera I; Univ. Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, F-35000, France., Bourien H; Department of Oncology, CLCC Eugène Marquis, Rennes, 35033, France., Morel-Corlu E; Univ. Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, F-35000, France., Peinoit A; Department of Oncology, CLCC Eugène Marquis, Rennes, 35033, France., Le Sourd S; Department of Oncology, CLCC Eugène Marquis, Rennes, 35033, France., Rolland Y; Univ. Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, F-35000, France., Garin E; Department of Nuclear Medicine, CLCC Eugène Marquis, Rennes, 35033, France., Acosta O; Univ. Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, F-35000, France., Edeline J; Department of Oncology, CLCC Eugène Marquis, Rennes, 35033, France. j.edeline@rennes.unicancer.fr. |
| Source: | European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2026 May; Vol. 53 (6), pp. 3915-3924. Date of Electronic Publication: 2026 Feb 17. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Berlin Country of Publication: Germany NLM ID: 101140988 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1619-7089 (Electronic) Linking ISSN: 16197070 NLM ISO Abbreviation: Eur J Nucl Med Mol Imaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41699275 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Machine learning models classifiers enable a strong prediction of radioembolization-induced liver disease, and define a new bilirubin threshold for selection of patients. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Rivera+I%22">Rivera I</searchLink>; Univ. Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, F-35000, France.<br /><searchLink fieldCode="AU" term="%22Bourien+H%22">Bourien H</searchLink>; Department of Oncology, CLCC Eugène Marquis, Rennes, 35033, France.<br /><searchLink fieldCode="AU" term="%22Morel-Corlu+E%22">Morel-Corlu E</searchLink>; Univ. Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, F-35000, France.<br /><searchLink fieldCode="AU" term="%22Peinoit+A%22">Peinoit A</searchLink>; Department of Oncology, CLCC Eugène Marquis, Rennes, 35033, France.<br /><searchLink fieldCode="AU" term="%22Le+Sourd+S%22">Le Sourd S</searchLink>; Department of Oncology, CLCC Eugène Marquis, Rennes, 35033, France.<br /><searchLink fieldCode="AU" term="%22Rolland+Y%22">Rolland Y</searchLink>; Univ. Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, F-35000, France.<br /><searchLink fieldCode="AU" term="%22Garin+E%22">Garin E</searchLink>; Department of Nuclear Medicine, CLCC Eugène Marquis, Rennes, 35033, France.<br /><searchLink fieldCode="AU" term="%22Acosta+O%22">Acosta O</searchLink>; Univ. Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, F-35000, France.<br /><searchLink fieldCode="AU" term="%22Edeline+J%22">Edeline J</searchLink>; Department of Oncology, CLCC Eugène Marquis, Rennes, 35033, France. j.edeline@rennes.unicancer.fr. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101140988%22">European journal of nuclear medicine and molecular imaging</searchLink> [Eur J Nucl Med Mol Imaging] 2026 May; Vol. 53 (6), pp. 3915-3924. <i>Date of Electronic Publication: </i>2026 Feb 17. – 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-Verlag+Berlin%22">Springer-Verlag Berlin </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101140988 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1619-7089 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216197070%22">16197070 </searchLink><i>NLM ISO Abbreviation: </i>Eur J Nucl Med Mol Imaging <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41699275 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00259-026-07803-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 3915 Titles: – TitleFull: Machine learning models classifiers enable a strong prediction of radioembolization-induced liver disease, and define a new bilirubin threshold for selection of patients. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rivera I – PersonEntity: Name: NameFull: Bourien H – PersonEntity: Name: NameFull: Morel-Corlu E – PersonEntity: Name: NameFull: Peinoit A – PersonEntity: Name: NameFull: Le Sourd S – PersonEntity: Name: NameFull: Rolland Y – PersonEntity: Name: NameFull: Garin E – PersonEntity: Name: NameFull: Acosta O – PersonEntity: Name: NameFull: Edeline J IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 May Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1619-7089 Numbering: – Type: volume Value: 53 – Type: issue Value: 6 Titles: – TitleFull: European journal of nuclear medicine and molecular imaging Type: main |
| ResultId | 1 |