| 李广涵,刘建,武敬平,田艳,刘将,马立勇,刘跃军,张波,郑敏.基于支持向量机多模态超声模型诊断肾疾病[J].中国医学影像技术,2020,36(6):898~902 |
| 基于支持向量机多模态超声模型诊断肾疾病 |
| Multi-modal ultrasound in diagnosis of renal diseases based on support vector machine |
| 投稿时间：2020-02-15 修订日期：2020-03-18 |
| DOI：10.13929/j.issn.1003-3289.2020.06.023 |
| 中文关键词: 肾疾病 超声检查 弹性成像技术 支持向量机 Logistic模型 |
| 英文关键词:kidney diseases ultrasonography elasticity imaging techniques support vector machine logistic models |
| 基金项目:国家政府间国际科技创新合作重点专项（2017YFE0110500）、山东省自然科学基金（ZR2018MF026）。 |
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| 中文摘要: |
| 目的 比较基于支持向量机（SVM）和传统Logistic回归法基于常规超声、彩色多普勒超声和弹性成像参数构建的多模态超声模型诊断肾脏疾病的效能。方法 收集94例肾脏疾病患者（肾病组）及无肾脏疾病的对照组患者109名，分别进行常规超声、彩色超声和剪切波弹性检查。采用Logistic回归法和SVM构建模型。利用随机数字法将全部201例患者按照3：1分为2组，以其中153例为训练样本，进行单因素变量判断和建立SVM模型；以50例为验证样本，评价SVM模型的预测效果。结果 Logistic回归方程纳入左肾皮质弹性硬度和右肾宽度。Logistic回归模型预测肾脏疾病的准确率为83.74%，SVM模型为85.10%（χ2=0.21，P=0.65）。结论 多模态超声对于肾脏疾病具有较高诊断效能；SVM和Logistic模型的诊断效能相似。 |
| 英文摘要: |
| Objective To compare the effectiveness of multi-modal ultrasound, including conventional ultrasound, color Doppler ultrasound and shear wave elastic imaging in diagnosis of renal diseases based on support vector machine support vector machine (SVM) and traditional Logistic regression. Methods Totally 94 patients with pathologically proved renal diseases (RD group) and 109 patients without renal diseases (control group) were collected and examined with conventional ultrasound, color Doppler ultrasound and shear wave elastic imaging, respectively. SVM and Logistic regression were used for modeling. Then all 203 patients were divided into 2 groups according to 3:1, then 153 cases were used as SVM's training samples for single factor variable judgment and model establishment, the other 50 cases were used as validation samples to evaluate the prediction effect of SVM model. Results The elastic hardness of left renal cortex and the width of right kidney entered the regression equation in Logistic regression. The accuracy of Logistic regression model for diagnosis of renal diseases was 83.74%, of SVM model was 85.10% (χ2=0.17, P=0.68). Conclusion Multimodal ultrasound has high effectiveness for diagnosis of renal diseases. SVM and Logistic models have similar diagnostic effectiveness. |
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