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Online daily adaptive proton therapy.
Albertini, Francesca; Matter, Michael; Nenoff, Lena; Zhang, Ye; Lomax, Antony.
Afiliación
  • Albertini F; Paul Scherrer Institute, Center for Proton Therapy, Switzerland.
  • Matter M; Paul Scherrer Institute, Center for Proton Therapy, Switzerland.
  • Nenoff L; Department of Physics, ETH Zurich, Switzerland.
  • Zhang Y; Paul Scherrer Institute, Center for Proton Therapy, Switzerland.
  • Lomax A; Department of Physics, ETH Zurich, Switzerland.
Br J Radiol ; 93(1107): 20190594, 2020 Mar.
Article en En | MEDLINE | ID: mdl-31647313
ABSTRACT
It is recognized that the use of a single plan calculated on an image acquired some time before the treatment is generally insufficient to accurately represent the daily dose to the target and to the organs at risk. This is particularly true for protons, due to the physical finite range. Although this characteristic enables the generation of steep dose gradients, which is essential for highly conformal radiotherapy, it also tightens the dependency of the delivered dose to the range accuracy. In particular, the use of an outdated patient anatomy is one of the most significant sources of range inaccuracy, thus affecting the quality of the planned dose distribution. A plan should be ideally adapted as soon as anatomical variations occur, ideally online. In this review, we describe in detail the different steps of the adaptive workflow and discuss the challenges and corresponding state-of-the art developments in particular for an online adaptive strategy.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Planificación de la Radioterapia Asistida por Computador / Radioterapia Conformacional / Flujo de Trabajo / Terapia de Protones / Neoplasias Tipo de estudio: Etiology_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Br J Radiol Año: 2020 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Planificación de la Radioterapia Asistida por Computador / Radioterapia Conformacional / Flujo de Trabajo / Terapia de Protones / Neoplasias Tipo de estudio: Etiology_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Br J Radiol Año: 2020 Tipo del documento: Article País de afiliación: Suiza
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