Predicting the Tumour Response to Radiation by Modelling the Five Rs of Radiotherapy Using PET Images.

Hami, Rihab; Apeke, Sena; Redou, Pascal; Gaubert, Laurent; Dubois, Ludwig J; Lambin, Philippe; Visvikis, Dimitris; Boussion, Nicolas

Hami, Rihab; Apeke, Sena; Redou, Pascal; Gaubert, Laurent; Dubois, Ludwig J; Lambin, Philippe; Visvikis, Dimitris; Boussion, Nicolas.

Afiliação

Hami R; INSERM UMR 1101 "LaTIM", CEDEX 3, 29238 Brest, France.
Apeke S; INSERM UMR 1101 "LaTIM", CEDEX 3, 29238 Brest, France.
Redou P; CERV, European Center for Virtual Reality, ENIB, CEDEX 3, 29238 Brest, France.
Gaubert L; INSERM UMR 1101 "LaTIM", CEDEX 3, 29238 Brest, France.
Dubois LJ; CERV, European Center for Virtual Reality, ENIB, CEDEX 3, 29238 Brest, France.
Lambin P; INSERM UMR 1101 "LaTIM", CEDEX 3, 29238 Brest, France.
Visvikis D; CERV, European Center for Virtual Reality, ENIB, CEDEX 3, 29238 Brest, France.
Boussion N; The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, 6211 LK Maastricht, The Netherlands.

J Imaging ; 9(6)2023 Jun 20.

Article em En | MEDLINE | ID: mdl-37367472

Palavras-chave

PET images; five Rs of radiobiology; radiotherapy; simulation; tumour response

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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