Leveraging intelligent optimization for automated, cardiac-sparing accelerated partial breast treatment planning.

Pogue, Joel A; Cardenas, Carlos E; Cao, Yanan; Popple, Richard A; Soike, Michael; Boggs, Drexell Hunter; Stanley, Dennis N; Harms, Joseph

Pogue, Joel A; Cardenas, Carlos E; Cao, Yanan; Popple, Richard A; Soike, Michael; Boggs, Drexell Hunter; Stanley, Dennis N; Harms, Joseph.

Afiliación

Pogue JA; Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, United States.
Cardenas CE; Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, United States.
Cao Y; Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, United States.
Popple RA; Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, United States.
Soike M; Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, United States.
Boggs DH; Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, United States.
Stanley DN; Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, United States.
Harms J; Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, United States.

Front Oncol ; 13: 1130119, 2023.

Article en En | MEDLINE | ID: mdl-36845685

Palabras clave

APBI; Ethos; adaptive radiotherapy (ART); automated planning; cardiac-sparing breast radiotherapy; intelligent optimization

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Qualitative_research Idioma: En Revista: Front Oncol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

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