Academic Journal
Fast stereotactic radiosurgery planning using patient-specific beam angle optimization and automation
| العنوان: | Fast stereotactic radiosurgery planning using patient-specific beam angle optimization and automation |
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| المؤلفون: | Thomas D. Mann, Kundan S. Thind, Nicolas P. Ploquin |
| المصدر: | Physics and Imaging in Radiation Oncology, Vol 21, Iss , Pp 90-95 (2022) |
| بيانات النشر: | Elsevier, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Medical physics. Medical radiology. Nuclear medicine LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| مصطلحات موضوعية: | Radiosurgery, Organs at risk, Heuristics, Retrospective studies, Particle accelerators, Automation, Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| الوصف: | Background and purpose: Linac-based stereotactic radiosurgery (SRS) planning for multi-metastatic cases is a complex and intensive process. A manual planning strategy starts with a template-based set of beam angles and applies modifications though a trial and error process. Beam angle optimization uses patient specific geometric heuristics to determine beam angles that provide optimal target coverage and avoid treating through Organs-at-Risk (OARs). This study expands on a collision prediction application developed using an application programming interface, integrating beam angle optimization and collision prediction into a Stereotactic Optimized Automated Radiotherapy (SOAR) planning algorithm. Materials and methods: Twenty-five patient plans, previously treated with SRS for multi-metastatic intracranial tumors, were selected for a retrospective plan study comparing the manual planning strategy to SOAR. The SOAR algorithm was used to select isocenters, table, collimator, and gantry angles, and target groupings for the optimized plans. Dose-volume metrics for relevant OARs and PTVs were compared using double-sided Wilcoxon signed rank tests (α = 0.05). A subset of five patients were included in an efficiency study comparing manual planning times to SOAR automated times. Results: OAR dose metrics compared between planning strategies showed no statistical difference for the dataset of twenty-five plans. Differences in maximum PTV dose and the conformity index were improved for SOAR planning and statistically significant. The median SOAR planning time was 9.8 min compared to 55 min for the manual planning strategy. Conclusions: SOAR planning was comparable in plan quality to a manual planning strategy with the possibility for greatly improving planning efficiency through automation. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2405-6316 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S240563162200015X; https://doaj.org/toc/2405-6316 |
| DOI: | 10.1016/j.phro.2022.02.009 |
| URL الوصول: | https://doaj.org/article/d3bf25b269794ae0a6d2fb97cfe526ff |
| رقم الانضمام: | edsdoj.3bf25b269794ae0a6d2fb97cfe526ff |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 24056316 |
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| DOI: | 10.1016/j.phro.2022.02.009 |