Application of the binary Logistic regression mode to analyze ultrasonographic features of the solid breast tumors
- VernacularTitle:乳腺实性肿块超声诊断的Logistic回归分析
- Author:
Jie ZENG
;
Baoming LUO
;
Hui ZHI
;
Haiyun YANG
- Publication Type:Journal Article
- Keywords:
Ultrasonography;
Breast diseases;
Diagnosis,differential;
Logistic models
- From:
Chinese Journal of Ultrasonography
2008;17(7):601-603
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the application of the binary Logistic regression model to analyze ultrasonographie indexes of the solid breast tumors. Methods The indexes of two dimensional gray scale ultrasonography,two dimensional color Doppler flow imaging,three dimensional gray scale ultrasonography, three dimensional color Doppler flow imaging and ultrasonic elastography were evaluated in 151 breast lesions confirmed by surgical pathology. A Logistic regression model for predicting breast rnalignaney on the basis of ultrasonographic indexes was obtained. A receiver operating characteristic (ROC) curve was used to assess the performance of the Logistic regression model. Results Six ultrasonic indexes were finally entering the Logistic regression model. They were elasticity score, shape,internal echo, RI, enhancement of posterior acoustic alteration and the converging pattern in the coronal plane. The area under the ROC curve was 0. 996. The percentage correct of prediction was 97.35 %. Conclusions The multivariate analysis model of binary Logistic regression can describe and analyze the process of differential diagnosis of malignant and benign solid breast tumors by ultrasonography and can select out the valuable indexes of differential diagnosis.
