| Zhang Tong,Liu Jiacheng,Wang Meijiao,et al.Development and validation of a gaussian process-based robustness evaluation tool for 6D setup error in stereotactic radiosurgery treatment planning[J].Chinese Journal of Radiological Medicine and Protection,2026,46(3):273-279 |
| Development and validation of a gaussian process-based robustness evaluation tool for 6D setup error in stereotactic radiosurgery treatment planning |
| Received:December 18, 2024 |
| DOI：10.3760/cma.j.cn112271-20241218-00482 |
| KeyWords:Robustness evaluation Uncertainty Stereotactic radiosurgery Gaussian process |
| FundProject:国家重大研发计划项目(2019YFF01014405);北京大学肿瘤医院科学研究基金项目(ZY202410) |
| Author Name | Affiliation | E-mail | | Zhang Tong | Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China | | | Liu Jiacheng | Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiotherapy, Peking University Cancer Hospital & Institute, Beijing 100142, China | | | Wang Meijiao | Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiotherapy, Peking University Cancer Hospital & Institute, Beijing 100142, China | | | Yao Kaining | Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiotherapy, Peking University Cancer Hospital & Institute, Beijing 100142, China | | | Wu Hao | Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiotherapy, Peking University Cancer Hospital & Institute, Beijing 100142, China | | | Wang Ruoxi | Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiotherapy, Peking University Cancer Hospital & Institute, Beijing 100142, China | rwang@bjmu.edu.cn |
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| Abstract:: |
| Objective To develop an automated robustness evaluation tool for photon radiotherapy plans. The tool is designed to provide uncertainty analysis and quantitative robustness assessment for radiotherapy techniques that require high positioning accuracy, such as single-isocenter multi-target stereotactic radiosurgery. Methods This study employed a Gaussian Process (GP) model as a surrogate to evaluate the impact of setup uncertainties on dose metrics and to assess plan robustness. The data generation process involved three steps: generating error scenarios, computing the corresponding dose distributions, and collecting dose-volume histogram (DVH) metrics to train the GP model. The trained model was then used to predict DVH metrics and their associated probabilities in untested scenarios. The considered setup errors included both translational and rotational dimensions. To validate the predictive accuracy of the model, robustness analyses were conducted on three HyperArc SRS plans with varying margins (0, 1 and 2 mm). Key DVH metrics predicted by the GP model were compared against those calculated by the treatment planning system (TPS) for out-of-sample error scenarios. Results The GP model demonstrated accurate predictions for most DVH metrics investigated. Specifically, the average R2 values were 0.97 for the mean dose to the right eye, 0.96 for the maximum dose to the brainstem, and 0.89 for the D98% of GTV1. Conclusions A robustness evaluation tool for radiotherapy plans was successfully developed in this study. By utilizing a programmable interactive interface, the tool automates the robustness evaluation process, which holds significant importance for treatment techniques that are highly sensitive to setup errors. |
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