Exploring the Negative Likelihood Ratio and How It Can Be Used to Minimize False-Positives in Breast Imaging.

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.