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, Pamela M Otto, Greg Maislin

Research output: Contribution to journalReview article

3 Citations (Scopus)

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 1 2018

Fingerprint

Breast
Benchmarking
Radiology
Biopsy
Radiologists

Keywords

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

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Exploring the negative likelihood ratio and how it can be used to minimize false-positives in breast imaging. / Yang, Wei T.; Parikh, Jay R.; Thomas Stavros, A.; Otto, Pamela M; Maislin, Greg.

In: American Journal of Roentgenology, Vol. 210, No. 2, 01.02.2018, p. 301-306.

Research output: Contribution to journalReview article

Yang, Wei T. ; Parikh, Jay R. ; Thomas Stavros, A. ; Otto, Pamela M ; Maislin, Greg. / Exploring the negative likelihood ratio and how it can be used to minimize false-positives in breast imaging. In: American Journal of Roentgenology. 2018 ; Vol. 210, No. 2. pp. 301-306.
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