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Exploring the Negative Likelihood Ratio and How It Can Be Used to Minimize False-Positives in Breast Imaging
Wei T Yang1, Jay R Parikh1, A Thomas Stavros2
11 Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer, 1515 Holcombe Blvd, Unit 1459, Houston, TX 77030.
Objective:
This article describes the definition and proposed utilization of negative likelihood ratios (NLRs) as statistical parameters in breast imaging. Examples with calculations are provided using BI-RADS category 4 subcategories.
Conclusion:
By auditing individual performance early and often against American College of Radiology benchmark positive predictive value ranges for the BI-RADS category 4 subcategories, and by fully understanding NLRs and their application in breast imaging, radiologists can minimize false-positive findings and unnecessary biopsies.
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