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Value of texture feature analysis of MRI dynamic contrast enhancement in diagnosis of benign and malignant breast nodules / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 647-651, 2017.
Article in Chinese | WPRIM | ID: wpr-609670
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.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2017 Type: Article