Literature DB >> 27438069

Radiologists' interpretive skills in screening vs. diagnostic mammography: are they related?

Joann G Elmore1, Andrea J Cook2, Andy Bogart3, Patricia A Carney4, Berta M Geller5, Stephen H Taplin6, Diana S M Buist2, Tracy Onega7, Christoph I Lee8, Diana L Miglioretti9.   

Abstract

PURPOSE: This study aims to determine whether radiologists who perform well in screening also perform well in interpreting diagnostic mammography.
MATERIALS AND METHODS: We evaluated the accuracy of 468 radiologists interpreting 2,234,947 screening and 196,164 diagnostic mammograms. Adjusting for site, radiologist, and patient characteristics, we identified radiologists with performance in the highest tertile and compared to those with lower performance.
RESULTS: A moderate correlation was noted for radiologists' accuracy when interpreting screening versus their accuracy on diagnostic examinations: sensitivity (rspearman=0.51, 95% CI: 0.22, 0.80; P=.0006) and specificity (rspearman=0.40, 95% CI: 0.30, 0.49; P<.0001).
CONCLUSION: Different educational approaches to screening and diagnostic imaging should be considered.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diagnostic mammography; Interpretive performance; Screening mammography; Sensitivity; Specificity

Mesh:

Year:  2016        PMID: 27438069      PMCID: PMC5159253          DOI: 10.1016/j.clinimag.2016.06.014

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  21 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.  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

3.  Variation in false-positive rates of mammography reading among 1067 radiologists: a population-based assessment.

Authors:  Alai Tan; Daniel H Freeman; James S Goodwin; Jean L Freeman
Journal:  Breast Cancer Res Treat       Date:  2006-07-04       Impact factor: 4.872

4.  Correlation of radiologist rank as a measure of skill in screening and diagnostic interpretation of mammograms.

Authors:  Craig A Beam; Emily F Conant; Edward A Sickles
Journal:  Radiology       Date:  2006-02       Impact factor: 11.105

5.  Effect of radiologists' diagnostic work-up volume on interpretive performance.

Authors:  Diana S M Buist; Melissa L Anderson; Robert A Smith; Patricia A Carney; Diana L Miglioretti; Barbara S Monsees; Edward A Sickles; Stephen H Taplin; Berta M Geller; Bonnie C Yankaskas; Tracy L Onega
Journal:  Radiology       Date:  2014-06-24       Impact factor: 11.105

6.  Performance benchmarks for diagnostic mammography.

Authors:  Edward A Sickles; Diana L Miglioretti; Rachel Ballard-Barbash; Berta M Geller; Jessica W T Leung; Robert D Rosenberg; Rebecca Smith-Bindman; Bonnie C Yankaskas
Journal:  Radiology       Date:  2005-06       Impact factor: 11.105

7.  Physician predictors of mammographic accuracy.

Authors:  Rebecca Smith-Bindman; Philip Chu; Diana L Miglioretti; Chris Quale; Robert D Rosenberg; Gary Cutter; Berta Geller; Peter Bacchetti; Edward A Sickles; Karla Kerlikowske
Journal:  J Natl Cancer Inst       Date:  2005-03-02       Impact factor: 13.506

8.  Variability in interpretive performance at screening mammography and radiologists' characteristics associated with accuracy.

Authors:  Joann G Elmore; Sara L Jackson; Linn Abraham; Diana L Miglioretti; Patricia A Carney; Berta M Geller; Bonnie C Yankaskas; Karla Kerlikowske; Tracy Onega; Robert D Rosenberg; Edward A Sickles; Diana S M Buist
Journal:  Radiology       Date:  2009-10-28       Impact factor: 11.105

9.  Accuracy of short-interval follow-up mammograms by patient and radiologist characteristics.

Authors:  Erin J Aiello Bowles; Diana L Miglioretti; Edward A Sickles; Linn Abraham; Patricia A Carney; Bonnie C Yankaskas; Joann G Elmore
Journal:  AJR Am J Roentgenol       Date:  2008-05       Impact factor: 3.959

10.  Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system.

Authors:  Harlan M Krumholz
Journal:  Health Aff (Millwood)       Date:  2014-07       Impact factor: 6.301

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  1 in total

Review 1.  What do radiologists look for? Advances and limitations of perceptual learning in radiologic search.

Authors:  Robert G Alexander; Stephen Waite; Stephen L Macknik; Susana Martinez-Conde
Journal:  J Vis       Date:  2020-10-01       Impact factor: 2.240

  1 in total

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