| Qi Miao,Liu Junyi,Li Shijun,et al.Treatment plan optimization for intensity-modulated brachytherapy based on the conjugate gradient algorithm[J].Chinese Journal of Radiological Medicine and Protection,2025,45(1):56-62 |
| Treatment plan optimization for intensity-modulated brachytherapy based on the conjugate gradient algorithm |
| Received:January 03, 2024 |
| DOI：10.3760/cma.j.cn112271-20240103-00004 |
| KeyWords:Intensity-modulated brachytherapy Treatment plan optimization Conjugate gradient method |
| FundProject:国家自然科学基金(12275372);安徽省重点研究与开发计划项目(2023s07020020);中国科学技术大学双一流医学物理与生物医学工程交叉学科平台(YD2140000601) |
| Author Name | Affiliation | E-mail | | Qi Miao | School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230001, China | | | Liu Junyi | School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230001, China | | | Li Shijun | School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230001, China | | | Chang Yankui | School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230001, China | | | Zhou Jieping | Department of Radiation Oncology, First Affiliated Hospital of University of Science and Technology of China, Hefei 230001, China | | | Yan Bing | Department of Radiation Oncology, First Affiliated Hospital of University of Science and Technology of China, Hefei 230001, China | | | Cheng Yong | Department of Radiation Oncology, First Affiliated Hospital of University of Science and Technology of China, Hefei 230001, China | | | Wu Aidong | Department of Radiation Oncology, First Affiliated Hospital of University of Science and Technology of China, Hefei 230001, China | | | Pei Xi | Anhui Wisdom Technology Co., Ltd, Hefei 230026, China | | | Xu Xie | School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230001, China
Department of Radiation Oncology, First Affiliated Hospital of University of Science and Technology of China, Hefei 230001, China | xgxu@ustc.edu.cn |
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| Abstract:: |
| Objective To investigate the application of the conjugate gradient (CG) algorithm to treatment plan optimization for intensity-modulated brachytherapy (IMBT). Methods The general Monte Carlo software TOPAS was utilized to simulate the 192Ir source of IMBT, and the unit dose contribution matrix was calculated. An objective function was established using the weighted least squares method and was solved using the CG algorithm to achieve optimized IMBT treatment plans. The optimization was validated using five clinical cervical cancer cases under modulation width 60°. The dose distributions of IMBT treatment plans under 45°, 60°, 90°, 120°, and 180° modulation widths were compared using the Wilcoxon test to determine the optimal IMBT treatment plan for cervical cancer treatment. Results The CG algorithm successfully optimized IMBT treatment plans under modulation width 60° for five cases within 22.2 s on average. On the premise of sufficient target dose coverage, the average D2 cm3 values of the bladder and rectum in IMBT treatment plans were 3.66 and 1.97 Gy, respectively, representing reductions of 0.54 and 0.69 Gy compared to traditional brachytherapy plans. For the five modulation widths, the D90% values of all IMBT treatment plans reached 6 Gy, without statistically significant differences (P > 0.05). The average D2 cm3 values of the bladder in IMBT treatment plans were significantly lower than those in the traditional brachytherapy plans(P ＜ 0.05), with modulation width 60° associated with the greatest reduction of 0.61 Gy. In contrast, the average D2 cm3 values of the rectum under 45°, 60°, and 90° modulation widths decreased by 0.63, 0.54, and 0.45 Gy, respectively, compared to traditional plans, with statistically significant differences(P ＜ 0.05). Conclusions The CG method enables rapid achievement of optimized IMBT treatment plans that meet clinical requirements, and modulation width 60° contributes to valid dosimetric optimization. This study can serve as a guide for the clinical implementation of IMBT. |
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