冯晓宇,于诗嘉,史铁梅.超声预测绝经后子宫内膜厚度≥5mm的女性患子宫内膜癌的风险[J].中国医学影像技术,2010,26(10):1940~1942
超声预测绝经后子宫内膜厚度≥5mm的女性患子宫内膜癌的风险
Ultrasonography in prediction of the risk of endometrial carcinoma of postmenopausal women with endometrial thickness ≥5 mm
投稿时间:2010-05-22  修订日期:2010-07-12
DOI:
中文关键词:  超声检查  子宫内膜肿瘤  回归分析  预测
英文关键词:Ultrasonography  Endometrial neoplasms  Regression analysis  Forecasting
基金项目:
作者单位E-mail
冯晓宇 中国医科大学附属盛京医院超声科,辽宁 沈阳 110004  
于诗嘉 中国医科大学,辽宁 沈阳 110001  
史铁梅 中国医科大学附属盛京医院超声科,辽宁 沈阳 110004 proshitm@yahoo.com 
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中文摘要:
       目的 建立Logistic回归模型预测绝经后子宫内膜厚度≥5 mm的女性患子宫内膜癌的风险。方法 回顾性分析345例绝经后内膜厚度≥5 mm的女性子宫内膜的形态、血流及临床信息。所有入选患者均在我院接受子宫内膜活检,并有相应的病理结果。建立Logistic回归模型并评价模型的诊断效能。结果 预测模型的ROC曲线下面积为0.90,预测的准确率为83.80%。取临界点为0.23时敏感度、特异度、漏诊率、误诊率、阴性似然比和阳性似然比分别为88.60%、84.70%、11.40%、15.30%、0.13和5.79,认为该模型具有较高的诊断效能。结论 应用超声变量和临床变量建立了绝经后子宫内膜厚度≥5 mm的女性患子宫内膜癌的风险预测模型,可以计算个体的患病风险,但该模型尚需大样本的前瞻性研究进行进一步验证。
英文摘要:
      Objective To develop a multivariate Logistic regression model and predict the risk of endometrial carcinoma in postmenopausal women with endometrial thickness ≥5 mm. Methods Endometrial morphology, vascularity and clinical information of 345 women with endometrial thickness ≥5 mm were analyzed retrospectively. All the selected patients were confirmed with histopathological diagnosis. The model was developed to calculate the individual risk and evaluated the diagnostic performance was evaluated. Results The largest area under the receiver-operating characteristics curve (AUC) was 0.90 and the accuracy was 83.80%. When the best cut-off value was 0.23, the sensitivity, specificity, missed diagnosis rate, misdiagnosis rate, negative likelihood ratio (LR-) and positive likelihood ratio (LR+) were 88.60%, 84.70%, 11.40%, 15.30%, 0.13 and 5.79, respectively. The model had a high diagnostic performance. Conclusion The model has been developed based on the ultrasonographic variables and clinical information in order to predict the risk of endometrial malignancy in postmenopausal women with endometrial thickness ≥5 mm and the individual risk of endometrial malignancy is calculated. But the model will need to be tested prospectively with a large specimen.
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