陈英茂,邵明哲,田嘉禾,尹大一,何义杰,姚树林.正电子发射断层显像中感兴趣区选取及标准摄取值分界点的优化[J].中国医学影像技术,2004,20(6):935~937
正电子发射断层显像中感兴趣区选取及标准摄取值分界点的优化
Optimization of drawing ROI and SUV diagnostic cut-off on
  
DOI:
中文关键词:  PET图像  感兴趣区  标准摄取值  诊断分界点  优化
英文关键词:PET images  Region of interest  Standard uptake value  Cut-off  Optimization
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作者单位
陈英茂 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 
田嘉禾 中国人民解放军总医院核医学科,北京 100853 
尹大一 中国人民解放军总医院核医学科,北京 100853 
何义杰 中国人民解放军总医院核医学科,北京 100853 
姚树林 中国人民解放军总医院核医学科,北京 100853 
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中文摘要:
      目的 探讨PET图像中勾画感兴趣区(ROI)的最佳方法及标准摄取值(SUV)最佳诊断分界点。方法 以PET FDG 126例肺部肿瘤图像为例说明,由SUVmax的百分比(50%~100%)为等高线值勾画ROI,得各SUV均值;由受试者工作特性(ROC)曲线分析确定ROI最佳画法;由准确率最大值、Youden's指数最大值及敏感性与特异性交点确定分界点。结果 ①最优ROI:70%等高线所画ROI的SUV具有最大ROC曲线下面积。其3个典型SUV分界点值分别为:2.075、2.825、2.919。②3个典型分界点的准确率、Youden's指数和阳性概率比/阴性概率比均在70%等高线出现较大值。结论 提出一套客观画取ROI、确定最佳等高线值、及最佳分界点的方法,可用于各种示踪剂PET图像中的各种定量指标。
英文摘要:
      Objective To investigate the optimum method to draw ROI and the optimum diagnostic cut-off on PET images. Methods PET FDG images of 126 patients with lung tumors (benign 39, malignant 87) were selected. For each tumor six ROIs were drawn with contour line at 50%, 60%, 70%, 80%, 90%, 100% of the maximum SUV, and the average SUVs were calculated. According to the results of ROC analysis, the optimum method of drawing ROI was determined. Three typical diagnostic SUV cut-off points were determined based on the maximum accuracy, the maximum Youden's index and the intersection of sensitivity and specificity. Results ①The area under the ROC curve was maximum at the SUV in the ROI drawn with contour line at 70% of the maximum SUV, and the three typical cut-off SUVs were 2.075, 2.825, 2.919, respectively. ②Among the six ROIs with contour line, the accuracy, Youden's index and the ratio of the positive likelihood ratio (LR+) to the negative likelihood ratio (LR-) at three typical SUVs cut-off had maximum values at the ROI drawn with contour line at 70%. Conclusion The optimum methods of drawing ROI impersonally and determining optimum diagnostic cut-off are proposed, which can be used in quantitative analysis and clinical diagnosis with PET images.
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