陈英茂,田嘉禾,耿建华,尹大一,邵明哲,陈盛祖.ROC曲线分析及诊断分界点确定程序[J].中国医学影像技术,2004,20(4):614~617
ROC曲线分析及诊断分界点确定程序
A computer program for receiver operating characteristic curve analysis and diagnostic cut-off choice
  
DOI:
中文关键词:  ROC曲线  诊断分界点  计算机程序
英文关键词:ROC curve  Diagnostic cut-off  Computer program
基金项目:
作者单位
陈英茂 中国人民解放军总医院核医学科,北京 100853 
田嘉禾 中国人民解放军总医院核医学科,北京 100853 
耿建华 中国协和医科大学 中国医学科学院 肿瘤医院核医学科 
尹大一 中国人民解放军总医院核医学科,北京 100853 
邵明哲 中国人民解放军总医院核医学科,北京 100853 
陈盛祖 中国协和医科大学 中国医学科学院 肿瘤医院核医学科 
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中文摘要:
      目的 介绍一种新开发的ROC分析软件。方法 ①依据非参数法和参数法ROC分析理论建立算法。②对文献中3套数据分别用本软件、SPSS及Analyse-it软件进行ROC分析验证。③应用:肺部良性39,恶性87例的PET FDG图像的SUV最大值及平均值鉴别良恶性效能评估。结果 ①软件主要功能:提供非参数和参数法两种ROC分析;确定3个典型诊断分界点;计算诊断符合率评价指标。②软件验证:3个软件对3套数据的分析结果完全相同。③应用实例:SUV平均值的诊断效能稍好,但差异无显著性。结论 该软件不仅具有较完整的ROC分析功能,而且还具有确定诊断分界点,提供多种诊断符合率指标的功能,是目前性能较完整的软件。
英文摘要:
      Objective To present a new computer program for ROC analysis and diagnostic cut-off choice. Methods The program algorithm was based on non-parametric and parametric ROC curve analysis theory. In order to validate the program, three groups of data were processed using SPSS, Analyse-it and the program. Finally the program was used to estimate the discrimination efficiency of the maximum standardized uptake value (SUV) and average SUV in PET FDG images for 126 cases of lung tumor patients (the benign 39, the malignant 87). Results ①The program provided the functions of both parametric and non-parametric ROC curve analysis, determined three typical diagnostic cut-off points, and calculated sensitivity, specificity, accuracy, and other diagnostic indexes. ②For the three groups of data, the test showed that the ROC analysis results with the program is same to those with SPSS and Analyse-it. ③Clinical application showed that the discriminative power of the average SUV was slightly higher than that of the maximum SUV, but the difference was not significant. Conclusion The program is accurate and credible and has more functions. It can perform both parametric and non-parametric ROC curve analysis, determine diagnostic cut-off point, and calculate the diagnostic indexes, such as sensitivity, specificity and accuracy.
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