| Yan Yongheng,Pan Maoyun,Zhou Jieping,Wu Aidong,Wu Wenhua,Xu Xie,Pei Xi.Self-adjustable automatic planning method of intensity modulated radiotherapy based on 3D predicted dose[J].Chinese Journal of Radiological Medicine and Protection,2021,41(6):444-449 |
| Self-adjustable automatic planning method of intensity modulated radiotherapy based on 3D predicted dose |
| Received:January 13, 2020 |
| DOI：10.3760/cma.j.issn.0254-5098.2021.06.008 |
| KeyWords:Intensity modulated radiotherapy Automatic radiotherapy planning Self-adjustable |
| FundProject:安徽省自然科学基金（1908085MA27）；安徽省重点研究与开发计划项目（1804a09020039） |
| Author Name | Affiliation | E-mail | | Yan Yongheng | School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230025, China | | | Pan Maoyun | Anhui Wisedom Technology Co. Ltd, Hefei 230088, China | | | Zhou Jieping | Department of Radiotherapy, Anhui Cancer Hospital, Hefei 230031, China | | | Wu Aidong | Department of Radiotherapy, The First Affiliated Hospital, University of Science and Technology of China, Hefei 230031, China | | | Wu Wenhua | Anhui Drug Evaluation and Inspection Center, Anhui Drug Inspection Center, Hefei 230000, 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 develope a self-adjustable automatic planning method of intensity modulated radiotherapy based on predicted dose, in order to enhance the robustness of automatic planning. Methods After the patients' dose by 3D U-Res-Net_B network was predicted, the current dose was calculated based on the last iteration result, then the predicted dose was combined to calculate the target dose and optimized. With all iterations completed or exit conditions satisfied, final treatment plannings would be acquired. A total of 30 cases of rectal cancer were tested to verify the effectiveness of the algorithm. Results The mean value of planning target volumes' V100% was (95.03±0.91)% for clinical plans, close to (94.67±1.96)% for automatical plans(P>0.05), and better than (92.90±2.13)% for predicted dose with the statisically significant difference (t=29.0,P<0.05). Automatic planning's indexes such as V35 of small intestines, V40 of bladders and V20-V40 of femoral heads were lower than predicted and clinical ones, with the statisically significant difference(t=4.5-118.0, P<0.05). Discrepancy in other indexes of organs at risk was not statistically significantly different(P>0.05). Conclusions This method made automatic planning processes more robust and more adaptive to difficult clinical situations. |
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