[1]张祥斌,戴谷宇,肖青,等.基于电子射野影像装置通量变化的影像组学特征进行眼突放射治疗摆位误差探测的初步研究[J].中国医学物理学杂志,2021,38(2):153-156.[doi:DOI:10.3969/j.issn.1005-202X.2021.02.005]
　ZHANG Xiangbin,DAI Guyu,XIAO Qing,et al.Preliminary study of radiomics features of EPID image in detecting setup errors in eye lens radiotherapy[J].Chinese Journal of Medical Physics,2021,38(2):153-156.[doi:DOI:10.3969/j.issn.1005-202X.2021.02.005]
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基于电子射野影像装置通量变化的影像组学特征进行眼突放射治疗摆位误差探测的初步研究()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
38卷
期数:
2021年第2期
页码:
153-156
栏目:
医学放射物理
出版日期:
2021-02-02

文章信息/Info

Title:
Preliminary study of radiomics features of EPID image in detecting setup errors in eye lens radiotherapy
文章编号:
1005-202X（2021）02-0153-04
作者:
张祥斌1; 戴谷宇1; 2; 肖青1; 彭旭东1; 李光俊1; 柏森1; 2
1.四川大学华西医院放疗科， 四川 成都 610041； 2.四川大学华西临床医学院， 四川 成都 610065
Author(s):
ZHANG Xiangbin1;  DAI Guyu1;  2;  XIAO Qing1;  PENG Xudong1;  LI Guangjun1;  BAI Sen1;  2
1. Department of Radiotherapy, West China Hospital of Sichuan University, Chengdu 610041, China 2. West China School of Medicine, Sichuan University, Chengdu 610065, China
关键词:
眼突; 放射治疗; 电子射野影像装置通量; 影像组学; 摆位误差
Keywords:
Keywords: eyelens radiotherapy electronic portal imaging device transmission dosimetry radiomics setup errors
分类号:
R318；R811
DOI:
DOI:10.3969/j.issn.1005-202X.2021.02.005
文献标志码:
A
摘要:
目的：研究基于电子射野影像装置（EPID）通量变化图像的影像组学特征探测眼突放射治疗摆位误差的可行性。方法：选取8例眼突患者，在人体头部仿真模体中生成验证计划。以无摆位误差状态下采集的EPID通量为基准，生成引入不同摆位误差的EPID通量变化图像。采用pyradiomics工具提取EPID通量变化图像的影像组学特征，验证不同影像组学特征是否可以区分临床显著的摆位误差。结果：在选取的107个特征中，有74个特征与引入摆位误差3个方向上的矢量距离有显著相关性（P<0.05）。在区分临床显著摆位误差的能力方面，传统γ分析的曲线下面积（AUC）值为0.79，而影像组学提取出相关度最高特征单变量的AUC值可以达到0.84，基于岭回归的多个特征的AUC值可以达到0.90。结论：在基于EPID通量变化的摆位误差评估中，基于传统γ分析的方法有一定的局限性，而基于影像组学特征的方法具有比传统γ分析更大的潜力。
Abstract:
Abstract: Objective To investigate the feasibility of using the radiomics features of electronic portal imaging device (EPID) image to detect the setup errors in eye lens radiotherapy. Methods A total of 8 patients who underwent eye lens radiotherapy were enrolled in the study. Verification plans were created based on head phantom to simulate treatment delivery. Taking the original EPID image which was obtained without setup errors as the reference, the EPID images of different setup errors were generated. The radiomics features of the EPID images were extracted with Pyradiomics tool, and whether radiomics features could be used for setup errors detection in clinic was evaluated. Results Seventy-four out of 107 selected features were observed significant correlation with the vector length of 3 directions with setup errors (P<0.05). The clinical setup errors detection based on radiomics features was superior to that based on traditional gamma analysis. The area under curve of traditional gamma analysis was only 0.79, while that of the most relevant univariate feature extracted by radiomics reached 0.84, and that of multivariate feature based on Ridge regression was 0.90. Conclusion For the detection of setup errors based on EPID image, traditional gamma analysis has some limitations, and it has been demonstrated that radiomics features-based method has better prediction performance and greater application potential.

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备注/Memo

备注/Memo:
【收稿日期】2020-10-17 【基金项目】国家自然科学基金（81972848） 【作者简介】张祥斌，助理工程师，研究方向：放射治疗物理，E-mail: rtcheungx@163.com 【通信作者】柏森，主任技师，研究方向：放射治疗物理，E-mail: baisen- @scu.edu.cn
更新日期/Last Update: 2021-02-02