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Combination of BI-RADS for ultrasound and shear wave elastography in differential diagnosis of benign and malignant breast lesions / 上海交通大学学报(医学版)
Journal of Shanghai Jiaotong University(Medical Science) ; (12): 393-397, 2019.
Article in Chinese | WPRIM | ID: wpr-743434
ABSTRACT
Objective · To explore the value of the 2013 version of the ultrasound breast imaging reporting and data system (BI-RADS) classification diagnostic criteria combined with ultrasound shear wave elastography (SWE) to identify benign and malignant breast lesions. Methods · A total of 175 solid breast masses in 155 women were examined with ultrasound, and were judged to be benign or malignant by BI-RADS classification criteria. Then all the masses were examined with shear wave elastography (SWE), to obtain shear wave quantitative parameters of benign and malignant breast lesions, the pathological results were used as the gold standard to construct the receiver operating characteristic (ROC) curve of the subjects, which were used to compare the diagnostic value of the two methods alone and in combination. Results · The area under curve (AUC) of the BI-RADS classification diagnostic criteria, the Emax value, and the combination of the two methods to differential diagnosis of benign and malignant breast nodules were 0913, 0.884 and 0.957, respectively. Through pairwise comparison, there was significant difference in AUC between the two methods alone and their combination (BI-RADS classification vs. combination Z=2.883, P=0.002; SWE vs. combination Z=4.081, P=0.000). Conclusion · The combination of BI-RADS classification and SWE technology can improve the diagnostic accuracy of breast lesions.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study Language: Chinese Journal: Journal of Shanghai Jiaotong University(Medical Science) Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study Language: Chinese Journal: Journal of Shanghai Jiaotong University(Medical Science) Year: 2019 Type: Article