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Optimal combined proton-photon therapy schemes based on the standard BED model.
Ten Eikelder, S C M; den Hertog, D; Bortfeld, T; Perkó, Z.
Afiliación
  • Ten Eikelder SCM; Department of Econometrics and Operations Research, Tilburg University, Tilburg, The Netherlands. Author to whom any correspondence should be addressed.
Phys Med Biol ; 64(6): 065011, 2019 03 12.
Article en En | MEDLINE | ID: mdl-30641502
This paper investigates the potential of combined proton-photon therapy schemes in radiation oncology, with a special emphasis on fractionation. Several combined modality models, with and without fractionation, are discussed, and conditions under which combined modality treatments are of added value are demonstrated analytically and numerically. The combined modality optimal fractionation problem with multiple normal tissues is formulated based on the biologically effective dose (BED) model and tested on real patient data. Results indicate that for several patients a combined modality treatment gives better results in terms of biological dose (up to [Formula: see text] improvement) than single modality proton treatments. For several other patients, a combined modality treatment is found that offers an alternative to the optimal single modality proton treatment, being only marginally worse but using significantly fewer proton fractions, putting less pressure on the limited availability of proton slots. Overall, these results indicate that combined modality treatments can be a viable option, which is expected to become more important as proton therapy centers are spreading but the proton therapy price tag remains high.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Planificación de la Radioterapia Asistida por Computador / Terapia de Protones / Neoplasias Hepáticas / Modelos Biológicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Phys Med Biol Año: 2019 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Planificación de la Radioterapia Asistida por Computador / Terapia de Protones / Neoplasias Hepáticas / Modelos Biológicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Phys Med Biol Año: 2019 Tipo del documento: Article Pais de publicación: Reino Unido