Exploring the negative likelihood ratio and how it can be used to minimize false-positives in breast imaging

Wei T. Yang, Jay R. Parikh, A. Thomas Stavros, Pam Otto, Greg Maislin

Research output: Contribution to journalReview articlepeer-review

7 Scopus citations

Abstract

OBJECTIVE. This article describes the defnition 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 fndings and unnecessary biopsies.

Original languageEnglish (US)
Pages (from-to)301-306
Number of pages6
JournalAmerican Journal of Roentgenology
Volume210
Issue number2
DOIs
StatePublished - Feb 2018

Keywords

  • BI-RADS
  • Bayes theorem
  • Breast imaging biopsy
  • Negative likelihood ratio
  • Posttest probability
  • Pretest probability

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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