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Dose accumulation of daily adaptive plans to decide optimal plan adaptation strategy for head-and-neck patients treated with MR-Linac.
Lim, Shin Yun; Tran, Alan; Tran, Anh Ngoc Kieu; Sobremonte, Angela; Fuller, Clifton D; Simmons, Lori; Yang, Jinzhong.
  • Lim SY; The University of Texas MD Anderson Cancer Center School of Health Professions, Houston, TX, United States. Electronic address: slim4@mdanderson.org.
  • Tran A; The University of Texas MD Anderson Cancer Center School of Health Professions, Houston, TX, United States.
  • Tran ANK; The University of Texas MD Anderson Cancer Center School of Health Professions, Houston, TX, United States.
  • Sobremonte A; The University of Texas MD Anderson Cancer Center School of Health Professions, Houston, TX, United States.
  • Fuller CD; The University of Texas MD Anderson Cancer Center School of Health Professions, Houston, TX, United States.
  • Simmons L; The University of Texas MD Anderson Cancer Center School of Health Professions, Houston, TX, United States.
  • Yang J; The University of Texas MD Anderson Cancer Center School of Health Professions, Houston, TX, United States.
Med Dosim ; 47(1): 103-109, 2022.
Article en En | MEDLINE | ID: mdl-34756493
ABSTRACT
Advances in magnetic resonance linear accelerators (MR-Linacs) allow for superior visualization of soft tissue to guide online adaptive replanning for precise radiotherapy delivery. Elekta Unity MR-Linacs (Elekta AB, Stockholm, Sweden) provides 2 plan adaptation approaches, adapt-to-position (ATP), plan reoptimization based on the reference CT with the iso-shift measured from daily MR scans, and adapt-to-shape (ATS), full plan reoptimization based on the re-contoured daily MR scans. Our study aims to close the gap in knowledge regarding the use of the ATP technique in the treatment of head and neck (HN) cancers through the analysis of accumulated dose of daily ATP plans to organs at risk (OARs). Daily accumulated doses of 8 HN patients using deformable registration were analyzed to estimate the actual delivered dose versus the planned dose to evaluate the impact from daily anatomical changes and setup uncertainties. This process was completed through the collection of doses to OARs which were chosen based on the rigidity and size of the organ and the substantial dose it received. Results showed that the actual dose delivered to some OARs was significantly higher than the originally planned dose and was more pronounced in structures that were within the high-dose gradient for some subdisease sites. These findings suggest that the ATS approach should be used for plan adaptation in some specific HN diseases where OARs receive substantial dose with anatomy changes that could not be accounted for by the ATP approach. We also investigated the possibility of predicting the actual delivered dose at an early stage of the treatment course, with the intention of exploring a possibly more optimal alternative for planning through the combination of ATP and ATS approaches throughout treatment.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Planificación de la Radioterapia Asistida por Computador / Radioterapia de Intensidad Modulada Tipo de estudio: Etiology_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Planificación de la Radioterapia Asistida por Computador / Radioterapia de Intensidad Modulada Tipo de estudio: Etiology_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article