Algorithm for an automatic treatment planning system using a single‐arc VMAT for prostate cancer
| Autor: | Takeo Takahashi, Takumi Kodama, Shogo Hatanaka, Munefumi Shimbo, Masatsugu Hariu, Shigehiro Kudo |
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| Rok vydání: | 2021 |
| Předmět: |
Male
Computer science medicine.medical_treatment VMAT Plan (drawing) Arc (geometry) Prostate cancer medicine Humans Radiation Oncology Physics Radiology Nuclear Medicine and imaging Radiation treatment planning Instrumentation prostate Radiation Radiotherapy Planning Computer-Assisted Monaco automated treatment planning Process (computing) Prostatic Neoplasms Radiotherapy Dosage medicine.disease Radiation therapy Organ at risk Intrafraction motion Radiotherapy Intensity-Modulated optimization Algorithm Algorithms |
| Zdroj: | Journal of Applied Clinical Medical Physics |
| ISSN: | 1526-9914 |
| Popis: | Optimization process in treatment planning for intensity‐modulated radiation therapy varies with the treatment planner. Therefore, a large variation in the quality of dose distribution is usually observed. To reduce variation, an automatic optimizing toolkit was developed for the Monaco treatment planning system (Elekta AB, Stockholm, Sweden) for prostate cancer using volumetric‐modulated arc therapy (VMAT). This toolkit was able to create plans automatically. However, most plans needed two arcs per treatment to ensure the dose coverage for targets. For prostate cancer, providing a plan with a single arc was advisable in clinical practice because intrafraction motion management must be considered to irradiate accurately. The purpose of this work was to develop an automatic treatment planning system with a single arc per treatment for prostate cancer using VMAT. We designed the new algorithm for the automatic treatment planning system to use one arc per treatment for prostate cancer in Monaco. We constructed the system in two main steps: (1) Determine suitable cost function parameters for each case before optimization, and (2) repeat the calculation and optimization until the conditions for dose indices are fulfilled. To evaluate clinical suitability, the plan quality between manual planning and the automatic planning system was compared. Our system created the plans automatically in all patients within a few iterations. Statistical differences between the plans were not observed for the target and organ at risk. It created the plans with no human input other than the initial template setting and system initiation. This system offers improved efficiency in running the treatment planning system and human resources while ensuring high‐quality outputs. |
| Databáze: | OpenAIRE |
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