Retrospective Clinical Evaluation of a Decision-Support Software for Adaptive Radiotherapy of Head and Neck Cancer Patients.

Gros, Sebastien A A; Santhanam, Anand P; Block, Alec M; Emami, Bahman; Lee, Brian H; Joyce, Cara

Gros, Sebastien A A; Santhanam, Anand P; Block, Alec M; Emami, Bahman; Lee, Brian H; Joyce, Cara.

Afiliação

Gros SAA; Loyola University Chicago, Loyola University Medical Center, Stritch School of Medicine, Department of Radiation Oncology, Cardinal Bernardin Cancer Center, Maywood, IL, United States.
Santhanam AP; Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, United States.
Block AM; Loyola University Chicago, Loyola University Medical Center, Stritch School of Medicine, Department of Radiation Oncology, Cardinal Bernardin Cancer Center, Maywood, IL, United States.
Emami B; Loyola University Chicago, Loyola University Medical Center, Stritch School of Medicine, Department of Radiation Oncology, Cardinal Bernardin Cancer Center, Maywood, IL, United States.
Lee BH; Loyola University Chicago, Loyola University Medical Center, Stritch School of Medicine, Department of Radiation Oncology, Cardinal Bernardin Cancer Center, Maywood, IL, United States.
Joyce C; Department of Public Health, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, United States.

Front Oncol ; 12: 777793, 2022.

Article em En | MEDLINE | ID: mdl-35847951

Palavras-chave

adaptive radiotherapy; clinical workflow; deformable image registration (DIR); head and neck cancer; prediction model

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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