| Wu Bingzhi,Peng Zhao,Yan Yongheng,et al.Personalized quantitative evaluation of the quality of radiotherapy plans based on dose prediction[J].Chinese Journal of Radiological Medicine and Protection,2022,42(3):188-193 |
| Personalized quantitative evaluation of the quality of radiotherapy plans based on dose prediction |
| Received:November 22, 2021 |
| DOI：10.3760/cma.j.cn112271-20211122-00459 |
| KeyWords:Intensity Modulation Radiation Therapy Plan quality evaluation Dose prediction |
| FundProject:安徽省自然科学基金（1908085MA27）；2020年中科大新医学创新团队项目（YD2140002002） |
| Author Name | Affiliation | E-mail | | Wu Bingzhi | School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230025, China | | | Peng Zhao | School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230025, China | | | Yan Yongheng | Department of Radiation Oncology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China | | | Zhou Jieping | Department of Radiotherapy, Anhui Cancer Hospital, Hefei 230031, China | | | Xu Xie | School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230025, China | | | Pei Xi | School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230025, China | xpei@ustc.edu.cn |
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| Abstract:: |
| Objective To develop a dose prediction-based quantitative evaluation method of the quality of radiotherapy plans, and to verify the clinical feasibility and clinical value of the method. Methods The 3D U-Netwas trained using the radiotherapy plans of 45 rectal cancer cases that were formulated by physicists with more than five years of radiotherapy experience. After obtaining 3D dose distribution using 3D U-Net prediction, this study established the plan quality metrics of intensity modulated radiotherapy(IMRT) rectal cancer radiotherapy plans using dose-volume histogram(DVH) indexes of dose prediction. Then, the initial scores of rectal cancer radiotherapy plans were determined.Taking the predicted dose as the optimization goal, the radiotherapy plans were optimized and scored again. The clinical significance of this scoring method was verified by comparing the scores and dosimetric parameters of the 15 rectal cancer cases before and after optimization. Results The radiotherapy plans before and after optimization all met the clinical dose requirements. The total scores were(77.21±9.74) before optimization,and (88.78±4.92) after optimization. Therefore, the optimized radiotherapy planswon increased scores with a statistically significant difference(t=-4.105, P<0.05). Compared to the plans before optimization, the optimized plans show decreased Dmax of all organs at risk to different extents. Moreover, the Dmax, V107%, and HI of PTV and the Dmax of the bladder decreased in the optimized plans, with statistically significant differences (t=2.346-5.771, P<0.05). There was no statistically significant difference in other indexes before and after optimization (P>0.05).The quality of the optimized plans were improved to a certain extent. This study proposed a dose prediction-based quantitative evaluation method of the quality of radiotherapy plans. It can be used for the effective personalized elevation of the quality of radiotherapy plans, which is beneficial to effectively compare and review the quality of clinical plans determined by different physicists and provide personalized dose indicators. Moreover, it can provide great guidance for the formulation of clinical therapy plans. |
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