[1]王艺璇,朱金汉,张丹丹,等.基于迭代更新模型的鼻咽癌自动计划质量研究[J].中国医学物理学杂志,2022,39(2):139-145.[doi:DOI:10.3969/j.issn.1005-202X.2022.02.002]
　WANG Yixuan,ZHU Jinhan,ZHANG Dandan,et al.Quality improvement of automatic planning for nasopharyngeal carcinoma by iteratively updating model[J].Chinese Journal of Medical Physics,2022,39(2):139-145.[doi:DOI:10.3969/j.issn.1005-202X.2022.02.002]
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基于迭代更新模型的鼻咽癌自动计划质量研究()
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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2期
页码:
139-145
栏目:
医学放射物理
出版日期:
2022-02-26

文章信息/Info

Title:
Quality improvement of automatic planning for nasopharyngeal carcinoma by iteratively updating model
文章编号:
1005-202X（2022）02-0139-07
作者:
王艺璇1; 2; 朱金汉2; 张丹丹2; 邓小武2; 周凌宏1
1.南方医科大学生物医学工程学院， 广东 广州 510515； 2.中山大学肿瘤防治中心放疗科/华南肿瘤学国家实验室/肿瘤医学协同创新中心， 广东 广州 510060
Author(s):
WANG Yixuan1; 2;  ZHU Jinhan2;  ZHANG Dandan2;  DENG Xiaowu2;  ZHOU Linghong1
1. School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China 2. Department of Radiation Oncology, Sun Yat-sen University Cancer Center/State Key Laboratory of Oncology in South China/Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
关键词:
鼻咽癌; 自动计划; 模型迭代
Keywords:
Keywords: nasopharyngeal carcinaoma automatic planning model iteration
分类号:
R318；R811.1
DOI:
DOI:10.3969/j.issn.1005-202X.2022.02.002
文献标志码:
A
摘要:
目的：以鼻咽癌调强计划作为对象，应用瓦里安eclipse治疗计划系统的 Rapid Plan自动计划模块，建立一种新的迭代更新方法提高Rapid Plan模型的质量，并验证该方法在临床应用的可靠性。方法：本研究随机选取鼻咽癌患者计划117例，运用计划质量评估方法及RTOG protocol 0615报告来制定计划质量评估指标对其打分。通过打分筛选每次建模的入组计划，对被筛掉的低分计划利用每次迭代更新模型辅助重新设计，并逐步提高入组计划分数，最终经过3次迭代获得最终模型。另选取20例鼻咽癌测试病例验证模型每次迭代的变化以及进行最终模型与原手工计划的比较。结果：经3次迭代分别获得模型A1、A2、A3。随着模型迭代，分数呈上升趋势，最终模型A3评分与原计划相比差异有统计学意义（P<0.05）。3个模型靶区剂量覆盖均满足临床要求，PTVnx的V70 Gy，PTV1的V60 Gy，PTV2的V54 Gy均值差别没有超过1%。危及器官脊髓的Dmax和视交叉的Dmax随着模型迭代，有明显下降趋势。最终模型A3与原计划相比，脑干的V54 Gy、脊髓的Dmax、左侧腮腺的Dmean、左右颞叶的V60 Gy、左右视神经以视交叉的Dmax均下降，差异有统计学意义（P<0.05）。结论：本研究探讨了一种基于迭代更新模型的鼻咽癌自动计划方法，通过不断提升训练集质量，可以有效提高模型质量和预测能力，有效改善自动计划的计划质量，可更有效辅助物理师/剂量师设计更加优质的计划。
Abstract:
Abstract: Objective To establish a new iteratively updating method for improving the quality of Varian eclipse Rapid Plan automatic planning model in radiotherapy planning for nasopharyngeal carcinoma (NPC), and to verify its reliability in clinical application. Methods The radiotherapy plans were randomly selected from 117 NPC patients, and the plan quality indexes were determined and scored using evaluation method and RTOG protocol 0615 report.?he plans which were used for model training were screened by score threshold and each iteratively updating model was used to assist the redesign of the low-score plans which were screened out. The score threshold was gradually improved by iterations, and the final model was obtained after 3 iterations.?nother 20 NPC test cases were selected to verify the changes of the model after iteration, and the comparison between the final model and the original manual plan was carried out. Results The models A1, A2 and A3 were obtained by 3 iterations.?ith the iteration, the scores showed an upward trend, and the score of the final model A3 was significantly higher than the score of the original manual plan (P<0.05).?he target dose coverage of the 3 models all met the clinical requirements, and their differences in the mean value of V70 Gy of PTVnx, V60 Gy of PTV1 and V54 Gy of PTV2 were not more than 1%, but the Dmax to the spinal cord and the Dmax to optic chiasma had an obvious downtrend with the iterations of the model.?ompared with those in the original manual plan, the V54 Gy of brainstem, the Dmax to spinal cord, the Dmean to left parotid gland, the V60 Gy of left and right temporal lobe, and the Dmax to optic nerve and optic chiasma in the final model A3 were decreased significantly, with statistical differences (P<0.05).?onclusion The automatic planning for NPC based on iteratively updating model is explored in the study, and it is found that the model quality and prediction ability can be effectively improved through continuously improving the training set, thereby effectively enhancing the quality of automatic planning and assisting physicists or dosimetrists in designing high-quality plans.

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备注/Memo

备注/Memo:
【收稿日期】2021-10-15 【基金项目】国家自然科学基金（12005315，11905303） 【作者简介】王艺璇，技师，研究方向：放射治疗计划设计与剂量学，E-mail: wangyix@sysucc.org.cn 【通信作者】周凌宏，硕士，教授，研究方向：肿瘤放射物理、医学放射成像，E-mail: smart@smu.edu.cn；朱金汉，博士，助理研究员，研究方向：肿瘤放疗物理、放射治疗质控，E-mail: zhujh@sysucc.org.cn
更新日期/Last Update: 2022-03-07