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SPECT设备质控图像分析软件比对结果分析
引用本文:谭展,刘辉,宋颖,马睿,谭光享,黄伟旭. SPECT设备质控图像分析软件比对结果分析[J]. 中国辐射卫生, 2022, 31(5): 564-567. DOI: 10.13491/j.issn.1004-714X.2022.05.007
作者姓名:谭展  刘辉  宋颖  马睿  谭光享  黄伟旭
作者单位:1. 广东省职业病防治院,广东 广州 510300;2. 中国疾病预防控制中心辐射防护与核安全医学所辐射防护与核应急中国疾病预防控制中心重点实验室,北京 100088
摘    要:
目的 了解不同分析软件结果差异,为SPECT设备质控的提升及标准修订提供参考。方法 采用整群抽样方法,以14家放射卫生技术服务机构配套的质控图像分析软件为研究对象,采用有证参考值的Z比分数法对本次比对所提交的结果进行分析和评价。结果 在比对项目“固有均匀性”和“固有空间线性”中,可疑、偏离及结果判定错误的软件数量所占比例较高,其余比对项目结果均满意。结论 SPECT图像分析软件的适用性缺乏有效的监管措施,有关部门应出台可行的措施规范软件制作和更新流程,加快放射卫生信息报送平台建设,促进放射卫生检测行业健康发展。

关 键 词:SPECT  图像分析软件  比对  Z比分数  
收稿时间:2022-03-03

Comparison results of image analysis software for quality control of SPECT equipment
TAN Zhan,LIU Hui,SONG Ying,MA Rui,TAN Guangxiang,HUANG Weixu. Comparison results of image analysis software for quality control of SPECT equipment[J]. Chinese Journal of Radiological Health, 2022, 31(5): 564-567. DOI: 10.13491/j.issn.1004-714X.2022.05.007
Authors:TAN Zhan  LIU Hui  SONG Ying  MA Rui  TAN Guangxiang  HUANG Weixu
Affiliation:1. Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300 China;2. Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC. Notional Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088 China
Abstract:
Objective To investigate the differences in output results between difference analysis software, and to provide a reference for the improvement of quality control and the standard revision of SPECT equipment. Methods The image analysis software for quality control held by 14 radiological health technical service institutions was selected as the research subjects using the cluster sampling method. The results of the comparison were analyzed and evaluated according to the Z-score method with certified reference values. Results In the comparison items of “intrinsic uniformity” and “intrinsic spatial linearity”, the number of software with suspicious, deviated and incorrect results accounted for a relatively high proportion, while the results of other comparison items were satisfactory. Conclusion The applicability of SPECT image analysis software lacks effective supervision measures. Relevant departments should introduce feasible measures to standardize the software production and update process, accelerate the construction of radiological health information reporting platform, and promote the healthy development of the radiation health testing industry.
Keywords:SPECT  Image analysis software  Comparison  Z-score  
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