In silico trial of simulation-free hippocampal-avoidance whole brain adaptive radiotherapy.
| Autor: | Price AT; Department of Radiation Oncology, Washington University School of Medicine, 4511 Forest Park Ave, St. Louis, MO 63108, USA., Kang KH; Department of Radiation Oncology, Washington University School of Medicine, 4511 Forest Park Ave, St. Louis, MO 63108, USA., Reynoso FJ; Department of Radiation Oncology, Washington University School of Medicine, 4511 Forest Park Ave, St. Louis, MO 63108, USA., Laugeman E; Department of Radiation Oncology, Washington University School of Medicine, 4511 Forest Park Ave, St. Louis, MO 63108, USA., Abraham CD; Department of Radiation Oncology, Washington University School of Medicine, 4511 Forest Park Ave, St. Louis, MO 63108, USA., Huang J; Department of Radiation Oncology, Washington University School of Medicine, 4511 Forest Park Ave, St. Louis, MO 63108, USA., Hilliard J; Department of Radiation Oncology, Washington University School of Medicine, 4511 Forest Park Ave, St. Louis, MO 63108, USA., Knutson NC; Department of Radiation Oncology, Washington University School of Medicine, 4511 Forest Park Ave, St. Louis, MO 63108, USA., Henke LE; Department of Radiation Oncology, Washington University School of Medicine, 4511 Forest Park Ave, St. Louis, MO 63108, USA. |
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| Jazyk: | angličtina |
| Zdroj: | Physics and imaging in radiation oncology [Phys Imaging Radiat Oncol] 2023 Sep 09; Vol. 28, pp. 100491. Date of Electronic Publication: 2023 Sep 09 (Print Publication: 2023). |
| DOI: | 10.1016/j.phro.2023.100491 |
| Abstrakt: | Background and Purpose: Hippocampal-avoidance whole brain radiotherapy (HA-WBRT) can be a time-consuming process compared to conventional whole brain techniques, thus potentially limiting widespread utilization. Therefore, we evaluated the in silico clinical feasibility, via dose-volume metrics and timing, by leveraging a computed tomography (CT)-based commercial adaptive radiotherapy (ART) platform and workflow in order to create and deliver patient-specific, simulation-free HA-WBRT. Materials and Methods: Ten patients previously treated for central nervous system cancers with cone-beam computed tomography (CBCT) imaging were included in this study. The CBCT was the adaptive image-of-the-day to simulate first fraction on-board imaging. Initial contours defined on the MRI were rigidly matched to the CBCT. Online ART was used to create treatment plans at first fraction. Dose-volume metrics of these simulation-free plans were compared to standard-workflow HA-WBRT plans on each patient CT simulation dataset. Timing data for the adaptive planning sessions were recorded. Results: For all ten patients, simulation-free HA-WBRT plans were successfully created utilizing the online ART workflow and met all constraints. The median hippocampi D Conclusions: Simulation-free HA-WBRT, with commercially available systems, was clinically feasible via plan-quality metrics and timing, in silico . Competing Interests: Honoraria from Varian Medical Systems, Inc. is reported by Francisco Reynoso and Lauren Henke. Honoraria from ViewRay is reported by Lauren Henke and Alex Price. Lauren Henke reports consulting fees from Varian Medical Systems and Radialogica. Lauren Henke is on the CNS and medical advisory board for ViewRay. (© 2023 Published by Elsevier B.V. on behalf of European Society of Radiotherapy & Oncology.) |
| Databáze: | MEDLINE |
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