Performance assessment of a new optimization system for robotic SBRT MLC-based plans

التفاصيل البيبلوغرافية
العنوان: Performance assessment of a new optimization system for robotic SBRT MLC-based plans
المؤلفون: Giulio Francolini, Vanessa Di Cataldo, Samantha Cipressi, R. Doro, I. Bonucci, Silvia Calusi, Laura Masi, Lorenzo Livi
المصدر: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 71
سنة النشر: 2019
مصطلحات موضوعية: Male, Organs at Risk, Biophysics, General Physics and Astronomy, Radiosurgery, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Optimization system, Cyberknife, Neoplasms, Humans, Radiology, Nuclear Medicine and imaging, Mathematics, Optimization algorithm, business.industry, Radiotherapy Planning, Computer-Assisted, Dose gradient, Reproducibility of Results, Radiotherapy Dosage, General Medicine, Robotics, Models, Theoretical, 030220 oncology & carcinogenesis, Plan evaluation, Female, Radiotherapy, Intensity-Modulated, Nuclear medicine, business, Algorithms
الوصف: Purpose To assess the performance of a new optimization system, VOLO, for CyberKnife MLC-based SBRT plans in comparison with the existing Sequential optimizer. Methods MLC-plans were created for 25 SBRT cases (liver, prostate, pancreas and spine) using both VOLO and Sequential. Monitor units (MU), delivery time (DT), PTV coverage, conformity (nCI), dose gradient (R50%) and OAR doses were used for comparison and combined to obtain a mathematical score (MS) of plan quality for each solution. MS strength was validated by changing parameter weights and by a blinded clinical plan evaluation. The optimization times (OT) and the average segment areas (SA) were also compared. Results VOLO solutions offered significantly lower mean DT (−19%) and MU (−13%). OT were below 15 min for VOLO, whereas for Sequential, values spanned from 8 to 160 min. SAs were significantly larger for VOLO: on average 10 cm2 versus 7 cm2. VOLO optimized plans achieved a higher MS than Sequential for all tested parameter combinations. PTV coverage and OAR sparing were comparable for both groups of solutions. Although slight differences in R50% and nCI were found, the parameters most affecting MS were MU and DT. VOLO solutions were selected in 80% of cases by both physicians with 88% inter-observer agreement. Conclusions The good performance of the VOLO optimization system, together with the large reduction in OT, make it a useful tool to improve the efficiency of CK SBRT planning and delivery. The proposed methodology for comparing different planning solutions can be applied in other contexts.
تدمد: 1724-191X
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc08855b1d900619029fba13b1e0d916
https://pubmed.ncbi.nlm.nih.gov/32088563
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....bc08855b1d900619029fba13b1e0d916
قاعدة البيانات: OpenAIRE