SPSS19.0 (IBM Corp.) statistical analysis software was used to analyze the diagnostic efficacy of US BI-RADS classification in breast masses that underwent minimally invasive resection using the Mammotome system. To detect statistical differences in lesion characteristics, χ2-test was used for shape while Fisher's exact test was used for other characteristics. The specificity, sensitivity, accuracy, positive predictive value and negative predictive value were calculated by comparison with pathology results. The receiver operating characteristic (ROC) curve for the US BI-RADS classification in the diagnosis of breast masses subjected to minimally invasive surgery was constructed, and the area under curve (AUC) was calculated.
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Diagnostic Efficacy of US BI-RADS in Breast Masses
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Corresponding Organization :
Other organizations : Tongji Hospital, Huazhong University of Science and Technology
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Variable analysis
independent variables
- US BI-RADS classification
- Diagnostic efficacy of US BI-RADS classification in breast masses that underwent minimally invasive resection using the Mammotome system
- Specificity
- Sensitivity
- Accuracy
- Positive predictive value
- Negative predictive value
- Area under curve (AUC) of the receiver operating characteristic (ROC) curve
- Pathology results
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