Clinical-radiomic models based on digital breast tomosynthesis images: a preliminary investigation of a predictive tool for cancer diagnosis.

Murtas, Federica; Landoni, Valeria; Ordòñez, Pedro; Greco, Laura; Ferranti, Francesca Romana; Russo, Andrea; Perracchio, Letizia; Vidiri, Antonello

Murtas, Federica; Landoni, Valeria; Ordòñez, Pedro; Greco, Laura; Ferranti, Francesca Romana; Russo, Andrea; Perracchio, Letizia; Vidiri, Antonello.

Afiliação

Murtas F; Medical Physics Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Landoni V; Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
Ordòñez P; Medical Physics Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Greco L; Medical Physics Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Ferranti FR; Radiology and Diagnostic Imaging Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Russo A; Radiology and Diagnostic Imaging Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Perracchio L; Pathology Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Vidiri A; Pathology Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

Front Oncol ; 13: 1152158, 2023.

Article em En | MEDLINE | ID: mdl-37251915

Palavras-chave

AI; breast cancer; predictive model; radiomic; tomosynthesis (DBT)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália País de publicação: Suíça

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