ISSN 1004-4140
CN 11-3017/P

计算机辅助检测低剂量CT早期肺癌筛查可行性研究

刘丽君, 郝粉娥, 孙振婷, 孟令新, 杨振兴, 赵磊

刘丽君, 郝粉娥, 孙振婷, 孟令新, 杨振兴, 赵磊. 计算机辅助检测低剂量CT早期肺癌筛查可行性研究[J]. CT理论与应用研究, 2019, 28(1): 39-44. DOI: 10.15953/j.1004-4140.2019.28.01.04
引用本文: 刘丽君, 郝粉娥, 孙振婷, 孟令新, 杨振兴, 赵磊. 计算机辅助检测低剂量CT早期肺癌筛查可行性研究[J]. CT理论与应用研究, 2019, 28(1): 39-44. DOI: 10.15953/j.1004-4140.2019.28.01.04
LIU Lijun, HAO Fen'e, SUN Zhenting, MENG Lingxin, YANG Zhenxing, ZHAO Lei. Computer-aided Detection Low-dose CT for Early Lung Cancer Screening: A Feasibility Study[J]. CT Theory and Applications, 2019, 28(1): 39-44. DOI: 10.15953/j.1004-4140.2019.28.01.04
Citation: LIU Lijun, HAO Fen'e, SUN Zhenting, MENG Lingxin, YANG Zhenxing, ZHAO Lei. Computer-aided Detection Low-dose CT for Early Lung Cancer Screening: A Feasibility Study[J]. CT Theory and Applications, 2019, 28(1): 39-44. DOI: 10.15953/j.1004-4140.2019.28.01.04

计算机辅助检测低剂量CT早期肺癌筛查可行性研究

基金项目: 

内蒙古自然科学基金(2017MS0895;2016MS08144)。

详细信息
    作者简介:

    刘丽君(1981-),女,影像医学与核医学硕士研究生,内蒙古医科大学附属医院影像诊断科主治医师,主要从事影像诊断,Tel:13260048451,E-mail:771563910@qq.com;赵磊*(1984-),男,影像医学与核医学硕士研究生,内蒙古医科大学附属医院影像诊断科主治医师,主要从事心胸影像学诊断与研究工作,Tel:18804891288,E-mail:281005117@qq.com。

  • 中图分类号: R812;R445

Computer-aided Detection Low-dose CT for Early Lung Cancer Screening: A Feasibility Study

  • 摘要: 目的:分析比较计算机辅助技术与人工判读低剂量CT进行早期肺癌筛查的效果,为临床早期肺癌筛查手段的选择提供理论依据。方法:对2015年12月至2017年12月来我院进行体检的256例早期肺癌高危患者行低剂量螺旋CT扫描,分别采用计算机辅助技术与人工判读对肺结节检出情况进行统计分析。结果:低剂量CT人工判读检出肺结节的人数为42例,检出率为16.4%;计算机辅助技术(人工纠错)检出肺结节的人数为43例,检出率为16.8%,差异无统计学意义(χ2=0.014,P=0.905)。人工判读与计算机辅助技术高危可疑患者检出一致性高(k=0.986)。计算机辅助技术所用时间低于人工判读,节约约70%时间((59.95±12.93) vs.(194.98±70.61) s,t=30.474,P=0.000)。结论:本研究发现通过计算机辅助(人工纠错)进行低剂量CT筛查高危人群早期肺癌的效率明显优于人工判读,具有简单、高效、灵敏的特点。
    Abstract: Objective: To analyze and compare the effect of computer-aided and artificially low dose CT in early lung cancer screening, and to provide theoretical basis for the selection of screening methods for early lung cancer. Methods: Low dose CT scans were performed on 256 high-risk patients with early lung cancer in our hospital from December 2015 to December 2017. Results: There were 42 patients of pulmonary nodules performed by low-dose CT, and the detection rate was 16.4%. There were 43 patients with pulmonary nodules detected by computer-assisted technique (manual error correction), and the detection rate was 16.8%. The difference was no statistically significant (χ2=0.014, P=0.905). There was a high consistency between manual interpretation and computer-assisted detection of high-risk patients (k=0.986). The working time of computer aided technology is lower than that of manual interpretation, saving about 70% of the working time (59.95±12.93) vs. (194.98±70.61) s, t=30.474, P=0.000). Conclusion: In this study, it was found that the efficiency of low-dose CT for early lung cancer screening with computer assisted (manual error correction) was significantly better than that of manual interpretation.
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出版历程
  • 收稿日期:  2018-10-24
  • 网络出版日期:  2021-11-05

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