Literature DB >> 24960110

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

Diana S M Buist1, 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.   

Abstract

PURPOSE: To examine radiologists' screening performance in relation to the number of diagnostic work-ups performed after abnormal findings are discovered at screening mammography by the same radiologist or by different radiologists.
MATERIALS AND METHODS: In an institutional review board-approved HIPAA-compliant study, the authors linked 651 671 screening mammograms interpreted from 2002 to 2006 by 96 radiologists in the Breast Cancer Surveillance Consortium to cancer registries (standard of reference) to evaluate the performance of screening mammography (sensitivity, false-positive rate [ FPR false-positive rate ], and cancer detection rate [ CDR cancer detection rate ]). Logistic regression was used to assess the association between the volume of recalled screening mammograms ("own" mammograms, where the radiologist who interpreted the diagnostic image was the same radiologist who had interpreted the screening image, and "any" mammograms, where the radiologist who interpreted the diagnostic image may or may not have been the radiologist who interpreted the screening image) and screening performance and whether the association between total annual volume and performance differed according to the volume of diagnostic work-up.
RESULTS: Annually, 38% of radiologists performed the diagnostic work-up for 25 or fewer of their own recalled screening mammograms, 24% performed the work-up for 0-50, and 39% performed the work-up for more than 50. For the work-up of recalled screening mammograms from any radiologist, 24% of radiologists performed the work-up for 0-50 mammograms, 32% performed the work-up for 51-125, and 44% performed the work-up for more than 125. With increasing numbers of radiologist work-ups for their own recalled mammograms, the sensitivity (P = .039), FPR false-positive rate (P = .004), and CDR cancer detection rate (P < .001) of screening mammography increased, yielding a stepped increase in women recalled per cancer detected from 17.4 for 25 or fewer mammograms to 24.6 for more than 50 mammograms. Increases in work-ups for any radiologist yielded significant increases in FPR false-positive rate (P = .011) and CDR cancer detection rate (P = .001) and a nonsignificant increase in sensitivity (P = .15). Radiologists with a lower annual volume of any work-ups had consistently lower FPR false-positive rate , sensitivity, and CDR cancer detection rate at all annual interpretive volumes.
CONCLUSION: These findings support the hypothesis that radiologists may improve their screening performance by performing the diagnostic work-up for their own recalled screening mammograms and directly receiving feedback afforded by means of the outcomes associated with their initial decision to recall. Arranging for radiologists to work up a minimum number of their own recalled cases could improve screening performance but would need systems to facilitate this workflow.

Entities:  

Mesh:

Year:  2014        PMID: 24960110      PMCID: PMC4334307          DOI: 10.1148/radiol.14132806

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  29 in total

1.  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

2.  Positive predictive value of mammography: comparison of interpretations of screening and diagnostic images by the same radiologist and by different radiologists.

Authors:  Jacqueline R Halladay; Bonnie C Yankaskas; J Michael Bowling; Camille Alexander
Journal:  AJR Am J Roentgenol       Date:  2010-09       Impact factor: 3.959

3.  Comparative effectiveness of digital versus film-screen mammography in community practice in the United States: a cohort study.

Authors:  Karla Kerlikowske; Rebecca A Hubbard; Diana L Miglioretti; Berta M Geller; Bonnie C Yankaskas; Constance D Lehman; Stephen H Taplin; Edward A Sickles
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

4.  Web-based mammography audit feedback.

Authors:  Berta M Geller; Laura Ichikawa; Diana L Miglioretti; David Eastman
Journal:  AJR Am J Roentgenol       Date:  2012-06       Impact factor: 3.959

5.  Educational interventions to improve screening mammography interpretation: a randomized controlled trial.

Authors:  Berta M Geller; Andy Bogart; Patricia A Carney; Edward A Sickles; Robert Smith; Barbara Monsees; Lawrence W Bassett; Diana M Buist; Karla Kerlikowske; Tracy Onega; Bonnie C Yankaskas; Sebastien Haneuse; Deirdre Hill; Matthew G Wallis; Diana Miglioretti
Journal:  AJR Am J Roentgenol       Date:  2014-06       Impact factor: 3.959

Review 6.  Systematic review: the long-term effects of false-positive mammograms.

Authors:  Noel T Brewer; Talya Salz; Sarah E Lillie
Journal:  Ann Intern Med       Date:  2007-04-03       Impact factor: 25.391

7.  A model of the influence of false-positive mammography screening results on subsequent screening.

Authors:  Jessica T Defrank; Noel Brewer
Journal:  Health Psychol Rev       Date:  2010

8.  Timeliness of follow-up after abnormal screening mammogram: variability of facilities.

Authors:  Robert D Rosenberg; Sebastien J P A Haneuse; Berta M Geller; Diana S M Buist; Diana L Miglioretti; R James Brenner; Rebecca Smith-Bindman; Stephen H Taplin
Journal:  Radiology       Date:  2011-09-07       Impact factor: 11.105

9.  Short-term outcomes of screening mammography using computer-aided detection: a population-based study of medicare enrollees.

Authors:  Joshua J Fenton; Guibo Xing; Joann G Elmore; Heejung Bang; Steven L Chen; Karen K Lindfors; Laura-Mae Baldwin
Journal:  Ann Intern Med       Date:  2013-04-16       Impact factor: 25.391

10.  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

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  9 in total

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

Authors:  Joann G Elmore; Andrea J Cook; Andy Bogart; Patricia A Carney; Berta M Geller; Stephen H Taplin; Diana S M Buist; Tracy Onega; Christoph I Lee; Diana L Miglioretti
Journal:  Clin Imaging       Date:  2016-07-01       Impact factor: 1.605

2.  Digital Breast Tomosynthesis: Radiologist Learning Curve.

Authors:  Diana L Miglioretti; Linn Abraham; Christoph I Lee; Diana S M Buist; Sally D Herschorn; Brian L Sprague; Louise M Henderson; Anna N A Tosteson; Karla Kerlikowske
Journal:  Radiology       Date:  2019-02-26       Impact factor: 11.105

3.  Mammographic positioning quality of newly trained versus experienced radiographers in the Dutch breast cancer screening programme.

Authors:  Cary van Landsveld-Verhoeven; Gerard J den Heeten; Janine Timmers; Mireille J M Broeders
Journal:  Eur Radiol       Date:  2015-05-19       Impact factor: 5.315

4.  Correlation Between Screening Mammography Interpretive Performance on a Test Set and Performance in Clinical Practice.

Authors:  Diana L Miglioretti; Laura Ichikawa; Robert A Smith; Diana S M Buist; Patricia A Carney; Berta Geller; Barbara Monsees; Tracy Onega; Robert Rosenberg; Edward A Sickles; Bonnie C Yankaskas; Karla Kerlikowske
Journal:  Acad Radiol       Date:  2017-05-24       Impact factor: 3.173

5.  Breast Cancer Screening for Women at Average Risk: 2015 Guideline Update From the American Cancer Society.

Authors:  Kevin C Oeffinger; Elizabeth T H Fontham; Ruth Etzioni; Abbe Herzig; James S Michaelson; Ya-Chen Tina Shih; Louise C Walter; Timothy R Church; Christopher R Flowers; Samuel J LaMonte; Andrew M D Wolf; Carol DeSantis; Joannie Lortet-Tieulent; Kimberly Andrews; Deana Manassaram-Baptiste; Debbie Saslow; Robert A Smith; Otis W Brawley; Richard Wender
Journal:  JAMA       Date:  2015-10-20       Impact factor: 56.272

6.  New mammography screening performance metrics based on the entire screening episode.

Authors:  Brian L Sprague; Diana L Miglioretti; Christoph I Lee; Hannah Perry; Anna A N Tosteson; Karla Kerlikowske
Journal:  Cancer       Date:  2020-05-06       Impact factor: 6.860

7.  Association of volume of self-directed versus assigned interpretive work with diagnostic performance of radiologists: an observational study.

Authors:  Shiori Amemiya; Harushi Mori; Hidemasa Takao; Osamu Abe
Journal:  BMJ Open       Date:  2019-12-17       Impact factor: 2.692

8.  Proportion of Thick versus Thin Melanomas as a Benchmarking Tool.

Authors:  Calogero Pagliarello; Serena Magi; Laura Mazzoni; Ignazio Stanganelli
Journal:  J Clin Med       Date:  2021-11-26       Impact factor: 4.241

Review 9.  Errors in Mammography Cannot be Solved Through Technology Alone

Authors:  Ernest Usang Ekpo; Maram Alakhras; Patrick Brennan
Journal:  Asian Pac J Cancer Prev       Date:  2018-02-26
  9 in total

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