Literature DB >> 23122345

Radiologist agreement for mammographic recall by case difficulty and finding type.

Tracy Onega1, Megan Smith, Diana L Miglioretti, Patricia A Carney, Berta A Geller, Karla Kerlikowske, Diana S M Buist, Robert D Rosenberg, Robert A Smith, Edward A Sickles, Sebastien Haneuse, Melissa L Anderson, Bonnie Yankaskas.   

Abstract

PURPOSE: The aim of this study was to assess agreement of mammographic interpretations by community radiologists with consensus interpretations of an expert radiology panel to inform approaches that improve mammographic performance.
METHODS: From 6 mammographic registries, 119 community-based radiologists were recruited to assess 1 of 4 randomly assigned test sets of 109 screening mammograms with comparison studies for no recall or recall, giving the most significant finding type (mass, calcifications, asymmetric density, or architectural distortion) and location. The mean proportion of agreement with an expert radiology panel was calculated by cancer status, finding type, and difficulty level of identifying the finding at the patient, breast, and lesion level. Concordance in finding type between study radiologists and the expert panel was also examined. For each finding type, the proportion of unnecessary recalls, defined as study radiologist recalls that were not expert panel recalls, was determined.
RESULTS: Recall agreement was 100% for masses and for examinations with obvious findings in both cancer and noncancer cases. Among cancer cases, recall agreement was lower for lesions that were subtle (50%) or asymmetric (60%). Subtle noncancer findings and benign calcifications showed 33% agreement for recall. Agreement for finding responsible for recall was low, especially for architectural distortions (43%) and asymmetric densities (40%). Most unnecessary recalls (51%) were asymmetric densities.
CONCLUSIONS: Agreement in mammographic interpretation was low for asymmetric densities and architectural distortions. Training focused on these interpretations could improve the accuracy of mammography and reduce unnecessary recalls.
Copyright © 2012 American College of Radiology. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23122345      PMCID: PMC3653418          DOI: 10.1016/j.jacr.2012.05.020

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  18 in total

1.  Assessing mammographers' accuracy. A comparison of clinical and test performance.

Authors:  C M Rutter; S Taplin
Journal:  J Clin Epidemiol       Date:  2000-05       Impact factor: 6.437

2.  Breast Imaging Reporting and Data System: inter- and intraobserver variability in feature analysis and final assessment.

Authors:  W A Berg; C Campassi; P Langenberg; M J Sexton
Journal:  AJR Am J Roentgenol       Date:  2000-06       Impact factor: 3.959

3.  Association of volume and volume-independent factors with accuracy in screening mammogram interpretation.

Authors:  Craig A Beam; Emily F Conant; Edward A Sickles
Journal:  J Natl Cancer Inst       Date:  2003-02-19       Impact factor: 13.506

4.  Interobserver variation in the interpretation of breast imaging. Comparison of mammography, ultrasonography, and both combined in the interpretation of palpable noncalcified breast masses.

Authors:  P Skaane; K Engedal; A Skjennald
Journal:  Acta Radiol       Date:  1997-07       Impact factor: 1.990

5.  Breast imaging reporting and data system lexicon for US: interobserver agreement for assessment of breast masses.

Authors:  Nouf Abdullah; Benoît Mesurolle; Mona El-Khoury; Ellen Kao
Journal:  Radiology       Date:  2009-06-30       Impact factor: 11.105

6.  Breast Cancer Surveillance Consortium: a national mammography screening and outcomes database.

Authors:  R Ballard-Barbash; S H Taplin; B C Yankaskas; V L Ernster; R D Rosenberg; P A Carney; W E Barlow; B M Geller; K Kerlikowske; B K Edwards; C F Lynch; N Urban; C A Chrvala; C R Key; S P Poplack; J K Worden; L G Kessler
Journal:  AJR Am J Roentgenol       Date:  1997-10       Impact factor: 3.959

7.  Rates and causes of disagreement in interpretation of full-field digital mammography and film-screen mammography in a diagnostic setting.

Authors:  L A Venta; R E Hendrick; Y T Adler; P DeLeon; P M Mengoni; A M Scharl; C E Comstock; L Hansen; N Kay; A Coveler; G Cutter
Journal:  AJR Am J Roentgenol       Date:  2001-05       Impact factor: 3.959

8.  Association between time spent interpreting, level of confidence, and accuracy of screening mammography.

Authors:  Patricia A Carney; T Andrew Bogart; Berta M Geller; Sebastian Haneuse; Karla Kerlikowske; Diana S M Buist; Robert Smith; Robert Rosenberg; Bonnie C Yankaskas; Tracy Onega; Diana L Miglioretti
Journal:  AJR Am J Roentgenol       Date:  2012-04       Impact factor: 3.959

9.  Variability in radiologists' interpretations of mammograms.

Authors:  J G Elmore; C K Wells; C H Lee; D H Howard; A R Feinstein
Journal:  N Engl J Med       Date:  1994-12-01       Impact factor: 91.245

10.  Breast imaging reporting and data system standardized mammography lexicon: observer variability in lesion description.

Authors:  J A Baker; P J Kornguth; C E Floyd
Journal:  AJR Am J Roentgenol       Date:  1996-04       Impact factor: 3.959

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  13 in total

1.  Comparison of digital mammography and digital breast tomosynthesis in the detection of architectural distortion.

Authors:  Elizabeth H Dibble; Ana P Lourenco; Grayson L Baird; Robert C Ward; A Stanley Maynard; Martha B Mainiero
Journal:  Eur Radiol       Date:  2017-07-14       Impact factor: 5.315

2.  Experiences with a self-test for Dutch breast screening radiologists: lessons learnt.

Authors:  J M H Timmers; A L M Verbeek; R M Pijnappel; M J M Broeders; G J den Heeten
Journal:  Eur Radiol       Date:  2013-09-22       Impact factor: 5.315

3.  Aggregate cost of mammography screening in the United States: comparison of current practice and advocated guidelines.

Authors:  Cristina O'Donoghue; Martin Eklund; Elissa M Ozanne; Laura J Esserman
Journal:  Ann Intern Med       Date:  2014-02-04       Impact factor: 25.391

4.  Assessing the influence of rater and subject characteristics on measures of agreement for ordinal ratings.

Authors:  Kerrie P Nelson; Aya A Mitani; Don Edwards
Journal:  Stat Med       Date:  2017-06-13       Impact factor: 2.373

5.  Evaluation of an Automated Information Extraction Tool for Imaging Data Elements to Populate a Breast Cancer Screening Registry.

Authors:  Ronilda Lacson; Kimberly Harris; Phyllis Brawarsky; Tor D Tosteson; Tracy Onega; Anna N A Tosteson; Abby Kaye; Irina Gonzalez; Robyn Birdwell; Jennifer S Haas
Journal:  J Digit Imaging       Date:  2015-10       Impact factor: 4.056

6.  Accuracy of Current Diagnostic Criteria for Acute Bacterial Infection in Older Adults in the Emergency Department.

Authors:  Jeffrey M Caterino; Robert Leininger; David M Kline; Lauren T Southerland; Salman Khaliqdina; Christopher W Baugh; Daniel J Pallin; Kurt B Stevenson
Journal:  J Am Geriatr Soc       Date:  2017-04-25       Impact factor: 5.562

7.  An investigation into the mammographic appearances of missed breast cancers when recall rates are reduced.

Authors:  Norhashimah Mohd Norsuddin; Claudia Mello-Thoms; Warren Reed; Mary Rickard; Sarah Lewis
Journal:  Br J Radiol       Date:  2017-06-16       Impact factor: 3.039

8.  Nonspecific Symptoms Lack Diagnostic Accuracy for Infection in Older Patients in the Emergency Department.

Authors:  Jeffrey M Caterino; David M Kline; Robert Leininger; Lauren T Southerland; Christopher R Carpenter; Christopher W Baugh; Daniel J Pallin; Katherine M Hunold; Kurt B Stevenson
Journal:  J Am Geriatr Soc       Date:  2018-11-22       Impact factor: 5.562

9.  Breast cancer risk prediction model: a nomogram based on common mammographic screening findings.

Authors:  J M H Timmers; A L M Verbeek; J IntHout; R M Pijnappel; M J M Broeders; G J den Heeten
Journal:  Eur Radiol       Date:  2013-04-18       Impact factor: 5.315

10.  A measure of association for ordered categorical data in population-based studies.

Authors:  Kerrie P Nelson; Don Edwards
Journal:  Stat Methods Med Res       Date:  2016-05-16       Impact factor: 3.021

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