Abstract
O131 / #794 - COMMISSIONING AN ONLINE ADAPTIVE WORKFLOW FOR PROTON THERAPY WITH GANTRY-MOUNTED SINGLE-ROOM SYNCHROCYCLOTRON AND CT ON RAILS
International journal of particle therapy, Vol.12(Supplement)
06/2024
DOI: 10.1016/j.ijpt.2024.100244
Abstract
Background and Aims: Proton therapy offers improved normal tissue sparing over photon therapy but is more sensitive to anatomical variation which may lead to significant dose perturbations. Online adaptive proton therapy has the potential to minimize error from anatomical and positional changes by enabling same-day plan changes based on on-board imaging. This work outlines the commissioning of an online adaptive proton therapy workflow in preparation for a forthcoming prospective clinical study.
Methods: An online adaptive workflow for proton therapy was developed based on a synchrocyclotron-based proton beamline, CT-on-rails imaging (CToR), and Raystation treatment planning system (TPS). Custom, in-house Monte Carlo secondary dose calculation and machine logging tools were developed for online and post-treatment quality assurance, and custom TPS-based scripts were implemented to automate multiple processes. Average time needed for the whole online adaptation workflow was estimated over three test runs, and an in-silico study was performed on thirty CToR datasets from pelvic proton SBRT re-irradiation patients. Targets were prescribed to 30-35 Gy in 5 fractions and plans were optimized to prioritize sparing of organs-at-risk (OAR).
Results: For the in-silico study of 30 CToR datasets, all 30 adaptive plans met target coverage and specified OAR constraints, with more than 95% gamma passing rate for secondary dose calculation with 3% and 3 mm criteria. The average time required for the proton online adaptive workflow was 77 and 63 minutes without and with script automation, respectively. Using script automation, the time for adaptation is estimated to improve by 18% (14 minutes).
Conclusion: An online adaptive proton therapy workflow was successfully commissioned and validated with prior CToR datasets. The overall time required is similar to current photon-based adaptive treatments, which suggests the feasibility of this workflow and readiness for clinical use. Figure 1. The online adaptive workflow optimized for efficiency by parallelizing tasks among various groups in chronological order.
Details
- Title: Subtitle
- O131 / #794 - COMMISSIONING AN ONLINE ADAPTIVE WORKFLOW FOR PROTON THERAPY WITH GANTRY-MOUNTED SINGLE-ROOM SYNCHROCYCLOTRON AND CT ON RAILS
- Creators
- Hailei Zhang - Radiation Oncology, Washington University in Saint Louis, Saint Louis, United States of AmericaWeiren Liu - Radiation Oncology, Washington University in Saint Louis, Saint Louis, United States of AmericaRobbie Beckert - Radiation Oncology, Washington University in Saint Louis, Saint Louis, United States of AmericaBita Kalaghchi - Radiation Oncology, Washington University in Saint Louis, Saint Louis, United States of AmericaThomas Mazur - Radiation Oncology, Washington University in Saint Louis, Saint Louis, United States of AmericaEric Laugeman - Radiation Oncology, Washington University in Saint Louis, Saint Louis, United States of AmericaHyun Kim - Radiation Oncology, Washington University in Saint Louis, Saint Louis, United States of AmericaChelsea Tohtz - Barnes-Jewish HospitalKenneth Walker - Barnes-Jewish HospitalMatthew Schmidt - Radiation Oncology, Washington University in Saint Louis, Saint Louis, United States of AmericaYao Hao - Radiation Oncology, Washington University in Saint Louis, Saint Louis, United States of AmericaJoshua Schiff - Radiation Oncology, Washington University in Saint Louis, Saint Louis, United States of AmericaAllen Mo - Radiation Oncology, Washington University in Saint Louis, Saint Louis, United States of AmericaStephanie Perkins - Radiation Oncology, Washington University in Saint Louis, Saint Louis, United States of AmericaTianyu Zhao - Radiation Oncology, Washington University in Saint Louis, Saint Louis, United States of America
- Resource Type
- Abstract
- Publication Details
- International journal of particle therapy, Vol.12(Supplement)
- DOI
- 10.1016/j.ijpt.2024.100244
- ISSN
- 2331-5180
- eISSN
- 2331-5180
- Publisher
- Elsevier B.V
- Language
- English
- Date published
- 06/2024
- Academic Unit
- Radiation Oncology
- Record Identifier
- 9985223617802771
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