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Automated Heuristic Optimization of Prostate VMAT Treatment Planning

International Journal of Medical Physics, Clinical Engineering and Radiation Oncology 2018年第3期7卷 414-425页

作者： christian fiandra Alessandro Alparone Elena Gallio Claudio Vecchi Gabriella Balestra Sara Bartoncini Samanta Rosati Riccardo Ragona Umberto Ricardi Department of Oncology Radiation Oncology University of Turin Turin Italy Tecnologie Avanzate T.A. Srl Turin Italy Medical Physics Unit A.O.U. Città della Salute e della Scienza Turin Italy Department of Electronics and Telecommunication Politecnico di Torino Turin Italy Radiation Oncology Unit A.O.U. Città della Salute e della Scienza Turin Italy

Purpose: To investigate a genetic algorithm approach to automatic treatment planning. Methods: A Python script based on genetic algorithm (GA) was implemented for VMAT treatment planning of prostate tumor. The script was implemented in RayStation treatment planning system using Python code. Two different clinical prescriptions were considered: 78 Gy prescribed to planning target volume in 39 fractions (GROUP 1) and simultaneous integrated boost (70.2 Gy to prostate bed and 61.1 Gy to seminal vesicles) in 26 fractions (GROUP 2). The script automatically optimizes doses to PTV and OARs according to GA. A comparison with corresponding plans created with Monaco TPS (M) and Auto-Planning module of Pinnacle3 (AP) was carried out. The plans were evaluated with a total score (TS) of PlanIQ software in terms of target coverage and sparing of OARs as well as clinical score (CS) performed by a Radiation Oncologist. Results: In GROUP 1, mean value of TS were 150.6 ± 30.7, 146.3 ± 36.1 and 137.4 ± 35.7 for AP, GA and M respectively. For GROUP 2, mean value for TS were 163.5 ± 16.8, 163.4 ± 24.7 and 162.9 ± 16.6 for AP, GA and M respectively with no significance differences. In terms of CS, the highest value has been attributed to GA in four patients out of five for both GROUP 1 and 2. Conclusions: Genetic approach is practicable for prostate VMAT plan generation and studies are underway in other anatomical sites such as Head and Neck and Rectum.

关键词： Genetic Algorithm Optimization Planning Automation VMAT Prostate

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