Your browser doesn't support javascript.
loading
Statistical breathing curve sampling to quantify interplay effects of moving lung tumors in a 4D Monte Carlo dose calculation framework.
von Münchow, Asmus; Straub, Katrin; Losert, Christoph; Shpani, Roel; Hofmaier, Jan; Freislederer, Philipp; Heinz, Christian; Thieke, Christian; Söhn, Matthias; Alber, Markus; Floca, Ralf; Belka, Claus; Parodi, Katia; Reiner, Michael; Kamp, Florian.
Afiliación
  • von Münchow A; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
  • Straub K; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
  • Losert C; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
  • Shpani R; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
  • Hofmaier J; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
  • Freislederer P; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
  • Heinz C; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
  • Thieke C; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
  • Söhn M; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
  • Alber M; Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany.
  • Floca R; Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany; Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelb
  • Belka C; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany; German Cancer Consortium (DKTK), Munich, Germany; Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Germany.
  • Parodi K; Department of Experimental Physics - Medical Physics, Faculty of Physics, LMU Munich, Munich, Germany.
  • Reiner M; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
  • Kamp F; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany. Electronic address: florian.kamp@uk-koeln.de.
Phys Med ; 101: 104-111, 2022 Sep.
Article en En | MEDLINE | ID: mdl-35988480
PURPOSE: The interplay between respiratory tumor motion and dose application by intensity modulated radiotherapy (IMRT) techniques can potentially lead to undesirable and non-intuitive deviations from the planned dose distribution. We developed a 4D Monte Carlo (MC) dose recalculation framework featuring statistical breathing curve sampling, to precisely simulate the dose distribution for moving target volumes aiming at a comprehensive assessment of interplay effects. METHODS: We implemented a dose accumulation tool that enables dose recalculations of arbitrary breathing curves including the actual breathing curve of the patient. This MC dose recalculation framework is based on linac log-files, facilitating a high temporal resolution up to 0.1 s. By statistical analysis of 128 different breathing curves, interplay susceptibility of different treatment parameters was evaluated for an exemplary patient case. To facilitate prospective clinical application in the treatment planning stage, in which patient breathing curves or linac log-files are not available, we derived a log-file free version with breathing curves generated by a random walk approach. Interplay was quantified by standard deviations σ in D5%, D50% and D95%. RESULTS: Interplay induced dose deviations for single fractions were observed and evaluated for IMRT and volumetric arc therapy (σD95% up to 1.3 %) showing a decrease with higher fraction doses and an increase with higher MU rates. Interplay effects for conformal treatment techniques were negligible (σ<0.1%). The log-file free version and the random walk generated breathing curves yielded similar results (deviations in σ< 0.1 %) and can be used as substitutes for interplay assessment. CONCLUSION: It is feasible to combine statistically sampled breathing curves with MC dose calculations. The universality of the presented framework allows comprehensive assessment of interplay effects in retrospective and prospective clinically relevant scenarios.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radioterapia de Intensidad Modulada / Neoplasias Pulmonares Tipo de estudio: Health_economic_evaluation / Observational_studies Límite: Humans Idioma: En Revista: Phys Med Asunto de la revista: BIOFISICA / BIOLOGIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Italia
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radioterapia de Intensidad Modulada / Neoplasias Pulmonares Tipo de estudio: Health_economic_evaluation / Observational_studies Límite: Humans Idioma: En Revista: Phys Med Asunto de la revista: BIOFISICA / BIOLOGIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Italia