[1]方诗杰,程博,任强,等.放疗计划系统DeepPlan光子放疗剂量计算的临床可行性验证[J].中国医学物理学杂志,2022,39(9):1063-1069.[doi:DOI:10.3969/j.issn.1005-202X.2022.09.002]
　FANG Shijie,CHENG Bo,REN Qiang,et al.Clinical feasibility verification of photon dose calculation by radiotherapy planning system DeepPlan[J].Chinese Journal of Medical Physics,2022,39(9):1063-1069.[doi:DOI:10.3969/j.issn.1005-202X.2022.09.002]
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放疗计划系统DeepPlan光子放疗剂量计算的临床可行性验证()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
39卷
期数:
2022年第9期
页码:
1063-1069
栏目:
医学放射物理
出版日期:
2022-11-02

文章信息/Info

Title:
Clinical feasibility verification of photon dose calculation by radiotherapy planning system DeepPlan
文章编号:
1005-202X（2022）09-1063-07
作者:
方诗杰1; 程博1; 任强2; 潘茂云2; 吴爱东3; 徐榭1; 裴曦1
1.中国科学技术大学物理学院工程与应用物理系， 安徽 合肥 230025； 2.安徽慧软科技有限公司， 安徽 合肥 230088； 3.中国科学技术大学第一附属医院放疗科， 安徽 合肥 230001
Author(s):
FANG Shijie1;  CHENG Bo1;  REN Qiang2;  PAN Maoyun2;  WU Aidong3;  XU Xie1;  PEI Xi1
1. Department of Engineering and Applied Physics School of Physical Sciences, University of Science and Technology of China, Hefei 230025, China 2. Anhui Wisedom Technology Co.,Ltd, Hefei 230088, China 3.Department of Radiation Oncology, the First Affiliated Hospital of University of Science and Technology of China, Hefei 230001, China
关键词:
光子剂量计算验证; 光子放疗; 治疗计划系统; DeepPlan
Keywords:
Keywords: photon dose calculation verification photon radiotherapy treatment planning system DeepPlan
分类号:
R318；R811.1
DOI:
DOI:10.3969/j.issn.1005-202X.2022.09.002
文献标志码:
A
摘要:
目的：评估DeepPlan放疗计划系统患者计划剂量计算的准确性和临床应用的可行性。方法：剂量算法准确性评估主要是针对YY 0775号和YY/T 0889号报告中的例题内容进行测量验证。临床病例验证是基于Pinnacle计划系统设计的前列腺肿瘤患者9例、胸部肿瘤患者13例和头颈部肿瘤患者5例，试验将各病例原计划优化的子野等信息直接导入DeepPlan进行重新剂量计算，比较不同计划系统得到的靶区和危及器官剂量分布，并用PTW VeriSoft软件对两组计算结果进行全空间剂量γ分析。结果：DeepPlan光子剂量算法通过了剂量计算准确性验证，YY 0775号报告中所有测试例题误差均在2%以内。YY/T 0889号报告中所有患者计划的γ通过率均在96.8%以上，复合野的γ通过率平均值为98.1%。在病例验证中，前列腺肿瘤病例的等中心层面2D γ通过率平均值为97.6%，3D γ通过率平均值为96.9%。胸部肿瘤病例的等中心层面2D γ通过率平均值为98.7%，3D γ通过率平均值为98.3%。头颈部肿瘤病例的中间层面2D γ通过率为98.6%，3D γ通过率平均值为98.8%。结论：通过模体实际测量和临床病例测试，验证了DeepPlan光子放疗剂量计算的准确性和临床应用的可行性。
Abstract:
Abstract: Objective To evaluate the accuracy and clinical feasibility of dose calculation by treatment planning system (TPS)DeepPlan. Methods The accuracy verification of dose algorithm was mainly to measure and verify the examples of YY 0775 report and the YY/T 0889 report. The clinical case verification was based on the clinical plans actually implemented in Pinnacle TPS for 9 cases of prostate tumor, 13 cases of chest tumor and 5 cases of head-neck tumor. In the experiment, the optimized sub-fields and other information of the original plan of each case were directly imported into DeepPlan for dose re-calculation. The dose profiles of target areas and organs-of-risk were recorded and compared between different TPS, and the gamma analysis was conducted on calculated results using PTW VeriSoft software. Results DeepPlan photon dose algorithm met the criteria of dose accuracy, and its errors in all test examples of YY 0775 report were within 2%. The gamma passing rates of all test examples of YY/T 0889 report were above 96.8%, and the average gamma passing rate of composite field was 98.1%. The average 2D gamma passing rate at isocenter layer were 97.6%, 98.7% and 98.6% in prostate tumor cases, chest tumor cases and head-neck tumor cases, respectively, and the average 3D gamma passing rate were 96.9%, 98.3% and 98.8%, respectively. Conclusion The actual measurement through the phantom and the test on clinical cases verify the accuracy of the photon dose calculation by DeepPlan and the its feasibility in clinical application.

相似文献/References:

[1]吕昂,徐子皓,孙光耀,等.基于GPU加速的筒串卷积剂量计算算法的准确性验证[J].中国医学物理学杂志,2023,40(9):1075.[doi:DOI:10.3969/j.issn.1005-202X.2023.09.004]
　L?Ang,XU Zihao,et al.Accuracy verification of GPU-accelerated collapsed cone convolution algorithm for dose calculation[J].Chinese Journal of Medical Physics,2023,40(9):1075.[doi:DOI:10.3969/j.issn.1005-202X.2023.09.004]

备注/Memo

备注/Memo:
【收稿日期】2021-12-11 【基金项目】安徽省自然科学基金（1908085MA27）；安徽省重点研究与开发计划（1804a09020039） 【作者简介】方诗杰，硕士，研究方向：剂量计算，E-mail: fsj@mail.ustc.edu.cn 【通信作者】裴曦，博士，副教授，研究方向：医学物理、人工智能和医学影像，E-mail: xpei@ustc.edu.cn
更新日期/Last Update: 2022-09-27