A Low-Dose CT-Based Radiomic Model to Improve Characterization and Screening Recall Intervals of Indeterminate Prevalent Pulmonary Nodules.

Rundo, Leonardo; Ledda, Roberta Eufrasia; di Noia, Christian; Sala, Evis; Mauri, Giancarlo; Milanese, Gianluca; Sverzellati, Nicola; Apolone, Giovanni; Gilardi, Maria Carla; Messa, Maria Cristina; Castiglioni, Isabella; Pastorino, Ugo

Rundo, Leonardo; Ledda, Roberta Eufrasia; di Noia, Christian; Sala, Evis; Mauri, Giancarlo; Milanese, Gianluca; Sverzellati, Nicola; Apolone, Giovanni; Gilardi, Maria Carla; Messa, Maria Cristina; Castiglioni, Isabella; Pastorino, Ugo.

Afiliação

Rundo L; Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK.
Ledda RE; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, UK.
di Noia C; Unit of Radiological Sciences, Department of Medicine and Surgery (DiMeC), University of Parma, 43126 Parma, Italy.
Sala E; Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy.
Mauri G; Department of Physics "Giuseppe Occhialini", University of Milano-Bicocca, 20126 Milan, Italy.
Milanese G; Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK.
Sverzellati N; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, UK.
Apolone G; Department of Informatics, Systems and Communication, University of Milano-Bicocca, 20126 Milan, Italy.
Gilardi MC; Unit of Radiological Sciences, Department of Medicine and Surgery (DiMeC), University of Parma, 43126 Parma, Italy.
Messa MC; Unit of Radiological Sciences, Department of Medicine and Surgery (DiMeC), University of Parma, 43126 Parma, Italy.
Castiglioni I; Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy.
Pastorino U; School of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy.

Diagnostics (Basel) ; 11(9)2021 Sep 03.

Article em En | MEDLINE | ID: mdl-34573951

Palavras-chave

low-dose computed tomography; lung cancer risk stratification; lung cancer screening; machine learning; pulmonary nodules; radiomics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Suíça

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