冯占武,丛淑珍,李康,吴丽桑,陈青,甘科红.甲状腺单发结节超声特征的Logistic回归分析[J].中国医学影像技术,2010,26(1):66~68
甲状腺单发结节超声特征的Logistic回归分析
Logistic regression analysis of ultrasonographic features in thyroid solitary nodular
投稿时间:2009-06-23  修订日期:2009-08-07
DOI:
中文关键词:  甲状腺结节  超声检查  Logistic模型
英文关键词:Thyroid nodule  Ultrasonography  Logistic regression
基金项目:
作者单位E-mail
冯占武 南方医科大学,广东 广州 510515  
丛淑珍 广东省人民医院超声科,广东省医学科学院,广东 广州 510080 shzhcong@163.com 
李康 广东省人民医院超声科,广东省医学科学院,广东 广州 510080  
吴丽桑 广东省人民医院超声科,广东省医学科学院,广东 广州 510080  
陈青 广东省人民医院超声科,广东省医学科学院,广东 广州 510080  
甘科红 广东省人民医院超声科,广东省医学科学院,广东 广州 510080  
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中文摘要:
      目的 筛选对甲状腺单发结节良恶性鉴别诊断有统计学意义的超声特征变量,建立以甲状腺单发结节超声特征为变量的Logistic回归模型。方法 194例经手术病理证实的单发甲状腺结节患者术前均接受二维超声成像,根据结节的超声特征,将Logistic回归模型引入对甲状腺单发结节良恶性判断中,建立Logistic回归模型。绘制ROC曲线,评价Logistic回归模型的预报能力。结果 经过二分类Logistic回归分析,结节形态、钙化及回声评分三个特征变量进入Logistic回归模型。二分类Logistic回归模型对甲状腺单发结节良恶性预报的准确率为91.75%(178/194),ROC曲线下面积为0.916±0.035。结论 二分类Logistic回归分析能够筛选出对甲状腺单发结节良恶性鉴别诊断有意义的特征变量;二分类Logistic回归模型能够对结节的良恶性做出较准确的判断。
英文摘要:
      Objective To find out the valuable ultrasonographic features for differentiating benign and malignant thyroid solitary nodular, and to apply the binary Logistic regression model in analysis of ultrasonography of thyroid solitary nodular. Methods Two-dimensional ultrasonography was performed in 194 patients with thyroid solitary nodular confirmed with surgical pathology. A Logistic model was obtained on the basis of ultrasonographic features. A receiver operator characteristic (ROC) curve was constructed to assess the performance of the Logistic model. Results Three ultrasonographic features including shape, calcification and heterogeneous texture were finally entered into the Logistic model. The percentage of correct prediction was 91.75%. The area under ROC curve was 0.916±0.035. Conclusion The binary Logistic regression can select the valuable indexes in the differential diagnosis of thyroid solitary nodular. The application of binary Logistic regression model can improve the diagnosis accuracy of thyroid solitary nodular.
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