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Sarcopenia measured by artificial intelligence as a predictor of overall survival in localized bladder cancer, a multicenter study.

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Bibliographic Details
Title:	Sarcopenia measured by artificial intelligence as a predictor of overall survival in localized bladder cancer, a multicenter study.
Authors:	Blondeau A; Urology Department, University Hospital Nancy, 1 Rue du Morvan, Vandœuvre-lès-Nancy, 54500, France. Blondeau.alicia@gmail.com., Pitout A; Urology Department, University Hospital Nancy, 1 Rue du Morvan, Vandœuvre-lès-Nancy, 54500, France., Manuguerra A; Urology Department, University Hospital Nancy, 1 Rue du Morvan, Vandœuvre-lès-Nancy, 54500, France., Eschwege P; Urology Department, University Hospital Nancy, 1 Rue du Morvan, Vandœuvre-lès-Nancy, 54500, France.; Medical Oncology Department, Institut de Cancérologie de Lorraine, Vandoeuvre-lès-Nancy, France., Mazeaud C; Urology Department, University Hospital Nancy, 1 Rue du Morvan, Vandœuvre-lès-Nancy, 54500, France.; Université de Lorraine, Inserm, IADI U1254, Nancy, 54000, France., Lambert A; Université de Lorraine, Inserm, IADI U1254, Nancy, 54000, France.; Medical Oncology Department, Institut de Cancérologie de Lorraine, Vandoeuvre-lès-Nancy, France.
Source:	BMC cancer [BMC Cancer] 2025 Dec 11; Vol. 26 (1), pp. 87. Date of Electronic Publication: 2025 Dec 11.
Publication Type:	Journal Article; Multicenter Study
Journal Info:	Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407 (Electronic) Linking ISSN: 14712407 NLM ISO Abbreviation: BMC Cancer Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1471-2407
DOI:	10.1186/s12885-025-15363-7