Value of texture feature analysis of MRI dynamic contrast enhancement in diagnosis of benign and malignant breast nodules
10.13929/j.1003-3289.201611079
- VernacularTitle:MR动态增强图像纹理分析判断乳腺结节良恶性的价值
- Author:
Wenjing CHEN
;
Wei MU
;
Wenxin ZHANG
;
Rui XU
;
Li ZHANG
;
Guixin YAN
;
Ying LIANG
- Keywords:
Magnetic resonance imaging;
Texture analysis;
Breast neoplasms;
Diagnostic imaging
- From:
Chinese Journal of Medical Imaging Technology
2017;33(5):647-651
- CountryChina
- Language:Chinese
-
Abstract:
Objective To assess the diagnostic value of texture analysis of MRI in differential dignosis of benign and ma lignant breast nodules.Methods The MRI data of 78 patients (80 breast nodules) identified by surgical pathology were retrospectively studied.Sixty-three texture parameters were obtained from each nodule.ROC curve of texture parameters in differential diagnosis of benign and malignant breast nodules were performed.Results In all of the 63 texture parameters,the run length nonuniformity (RLN) had the highest AUC value (0.836) and accuracy,the diagnostic sensitivity,specificity,accuracy,positive predictive value and negative predictive value in differentiation of breast nodules were 82.93％ (34/41),94.87％ (37/39),88.75％ (71/80),94.44％ (34/36) and 84.09％ (37/44).The sensitivity,specificity,accuracy,positive predictive value,and negative predictive value of breast imaging reporting and data system (BIRADS) were 95.12％ (39/41),87.18％ (34/39),91.25％ (73/80),88.63％ (39/44),and 94.44％ (34/36).The difference of diagnostic accuracy between texture parameter and BI-RADS had no statistical significance (P =0.11).BIRADS combined texture parameter improved specificity significantly (P＜0.001).Conclusion The texture analysis could be complementary to improve the accuracy of BI-RADS-MRI in breast nodules.
