Can AI-based body composition assessment outperform body surface area in predicting dose-limiting toxicities for colonic cancer patients on chemotherapy?

Cao, Ke; Yeung, Josephine; Arafat, Yasser; Choi, CheukShan; Wei, Matthew Y K; Chan, Steven; Lee, Margaret; Baird, Paul N; Yeung, Justin M C

Cao, Ke; Yeung, Josephine; Arafat, Yasser; Choi, CheukShan; Wei, Matthew Y K; Chan, Steven; Lee, Margaret; Baird, Paul N; Yeung, Justin M C.

Afiliación

Cao K; Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia.
Yeung J; Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia.
Arafat Y; Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia.
Choi C; Department of Colorectal Surgery, Western Health, Melbourne, Australia.
Wei MYK; Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia.
Chan S; Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia.
Lee M; Department of Colorectal Surgery, Western Health, Melbourne, Australia.
Baird PN; Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia.
Yeung JMC; Department of Oncology, Western Health, Melbourne, Australia.

J Cancer Res Clin Oncol ; 149(15): 13915-13923, 2023 Nov.

Article en En | MEDLINE | ID: mdl-37540253

Palabras clave

Artificial intelligence; Body composition; Chemotherapy toxicity; Clinical oncology; Computed tomography

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Cancer Res Clin Oncol Año: 2023 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Alemania

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