Knowledge-based planning for multi-isocenter VMAT total marrow irradiation.

Ahn, Kang-Hyun; Rondelli, Damiano; Koshy, Matthew; Partouche, Julien A; Hasan, Yasmin; Liu, Hongtao; Yenice, Kamil; Aydogan, Bulent

Ahn, Kang-Hyun; Rondelli, Damiano; Koshy, Matthew; Partouche, Julien A; Hasan, Yasmin; Liu, Hongtao; Yenice, Kamil; Aydogan, Bulent.

Afiliación

Ahn KH; Department of Radiation Oncology, University of Illinois, Chicago, IL, United States.
Rondelli D; Department of Radiation and Cellular Oncology, University of Chicago, Chicago, IL, United States.
Koshy M; Division of Hematology/Oncology, University of Illinois, Chicago, IL, United States.
Partouche JA; Department of Radiation Oncology, University of Illinois, Chicago, IL, United States.
Hasan Y; Department of Radiation and Cellular Oncology, University of Chicago, Chicago, IL, United States.
Liu H; Department of Radiation and Cellular Oncology, University of Chicago, Chicago, IL, United States.
Yenice K; Department of Radiation and Cellular Oncology, University of Chicago, Chicago, IL, United States.
Aydogan B; Department of Radiation and Cellular Oncology, University of Chicago, Chicago, IL, United States.

Front Oncol ; 12: 942685, 2022.

Article en En | MEDLINE | ID: mdl-36267964

Palabras clave

RapidPlan; TMI; VMAT; knowledge-based planning; radiotherapy; total marrow irradiation

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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