Understanding the Mammography Audit.


Journal

Radiologic clinics of North America
ISSN: 1557-8275
Titre abrégé: Radiol Clin North Am
Pays: United States
ID NLM: 0123703

Informations de publication

Date de publication:
Jan 2021
Historique:
entrez: 23 11 2020
pubmed: 24 11 2020
medline: 15 12 2020
Statut: ppublish

Résumé

Screening mammography aims to identify small, node-negative breast cancers when they are still curable while maintaining an acceptable range of false-positive recalls and biopsies. The mammography audit is a powerful tool to help radiologists understand their performance with respect to that goal. This article defines audit terms and describes how to use collected and derived data to perform a mammography audit. Accepted benchmarks are discussed as well as their applicability to radiologists and breast imaging practices in the United States. Special considerations regarding volumes and radiologist characteristics are explored, because these factors may affect audit results.

Identifiants

pubmed: 33222999
pii: S0033-8389(20)30134-2
doi: 10.1016/j.rcl.2020.09.009
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

41-55

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosure The authors have no disclosures or conflicts of interests.

Auteurs

Kimberly Funaro (K)

Department of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA; Department of Oncologic Sciences, University of South Florida, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. Electronic address: kimberly.funaro@moffitt.org.

Dana Ataya (D)

Department of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA; Department of Oncologic Sciences, University of South Florida, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.

Bethany Niell (B)

Department of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA; Department of Oncologic Sciences, University of South Florida, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.

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Classifications MeSH