Literature DB >> 19789234

When radiologists perform best: the learning curve in screening mammogram interpretation.

Diana L Miglioretti1, Charlotte C Gard, Patricia A Carney, Tracy L Onega, Diana S M Buist, Edward A Sickles, Karla Kerlikowske, Robert D Rosenberg, Bonnie C Yankaskas, Berta M Geller, Joann G Elmore.   

Abstract

PURPOSE: To examine changes in screening mammogram interpretation as radiologists with and radiologists without fellowship training in breast imaging gain clinical experience.
MATERIALS AND METHODS: In an institutional review board-approved HIPAA-compliant study, the performance of 231 radiologists who interpreted screen-film screening mammograms from 1996 to 2005 at 280 facilities that contribute data to the Breast Cancer Surveillance Consortium was examined. Radiologists' demographic data and clinical experience levels were collected by means of a mailed survey. Mammograms were grouped on the basis of how many years the interpreting radiologist had been practicing mammography, and the influence of increasing experience on performance was examined separately for radiologists with and those without fellowship training in breast imaging, taking into account case-mix and radiologist-level differences.
RESULTS: A total of 1 599 610 mammograms were interpreted during the study period. Performance for radiologists without fellowship training improved most during their 1st 3 years of clinical practice, when the odds of a false-positive reading dropped 11%-15% per year (P < .015) with no associated decrease in sensitivity (P > .89). The number of women recalled per breast cancer detected decreased from 33 for radiologists in their 1st year of practice to 24 for radiologists with 3 years of experience to 19 for radiologists with 20 years of experience. Radiologists with fellowship training in breast imaging experienced no learning curve and reached desirable goals during their 1st year of practice.
CONCLUSION: Radiologists' interpretations of screening mammograms improve during their first few years of practice and continue to improve throughout much of their careers. Additional residency training and targeted continuing medical education may help reduce the number of work-ups of benign lesions while maintaining high cancer detection rates.

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Year:  2009        PMID: 19789234      PMCID: PMC2786195          DOI: 10.1148/radiol.2533090070

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


  23 in total

Review 1.  Assessment of the learning curve in health technologies. A systematic review.

Authors:  C R Ramsay; A M Grant; S A Wallace; P H Garthwaite; A F Monk; I T Russell
Journal:  Int J Technol Assess Health Care       Date:  2000       Impact factor: 2.188

2.  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

3.  Detection of ductal carcinoma in situ in women undergoing screening mammography.

Authors:  Virginia L Ernster; Rachel Ballard-Barbash; William E Barlow; Yingye Zheng; Donald L Weaver; Gary Cutter; Bonnie C Yankaskas; Robert Rosenberg; Patricia A Carney; Karla Kerlikowske; Stephen H Taplin; Nicole Urban; Berta M Geller
Journal:  J Natl Cancer Inst       Date:  2002-10-16       Impact factor: 13.506

4.  Current medicolegal and confidentiality issues in large, multicenter research programs.

Authors:  P A Carney; B M Geller; H Moffett; M Ganger; M Sewell; W E Barlow; N Stalnaker; S H Taplin; C Sisk; V L Ernster; H A Wilkie; B Yankaskas; S P Poplack; N Urban; M M West; R D Rosenberg; S Michael; T D Mercurio; R Ballard-Barbash
Journal:  Am J Epidemiol       Date:  2000-08-15       Impact factor: 4.897

5.  Screening mammograms by community radiologists: variability in false-positive rates.

Authors:  Joann G Elmore; Diana L Miglioretti; Lisa M Reisch; Mary B Barton; William Kreuter; Cindy L Christiansen; Suzanne W Fletcher
Journal:  J Natl Cancer Inst       Date:  2002-09-18       Impact factor: 13.506

6.  Performance parameters for screening and diagnostic mammography: specialist and general radiologists.

Authors:  Edward A Sickles; Dulcy E Wolverton; Katherine E Dee
Journal:  Radiology       Date:  2002-09       Impact factor: 11.105

7.  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

8.  The "laboratory" effect: comparing radiologists' performance and variability during prospective clinical and laboratory mammography interpretations.

Authors:  David Gur; Andriy I Bandos; Cathy S Cohen; Christiane M Hakim; Lara A Hardesty; Marie A Ganott; Ronald L Perrin; William R Poller; Ratan Shah; Jules H Sumkin; Luisa P Wallace; Howard E Rockette
Journal:  Radiology       Date:  2008-08-05       Impact factor: 11.105

9.  Agreement of the order of overall performance levels under different reading paradigms.

Authors:  David Gur; Andriy I Bandos; Amy H Klym; Cathy S Cohen; Christiane M Hakim; Lara A Hardesty; Marie A Ganott; Ronald L Perrin; William R Poller; Ratan Shah; Jules H Sumkin; Luisa P Wallace; Howard E Rockette
Journal:  Acad Radiol       Date:  2008-12       Impact factor: 3.173

10.  Association between radiologists' experience and accuracy in interpreting screening mammograms.

Authors:  Eduard Molins; Francesc Macià; Francesc Ferrer; Maria-Teresa Maristany; Xavier Castells
Journal:  BMC Health Serv Res       Date:  2008-04-25       Impact factor: 2.655

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  36 in total

1.  Radiologists' attitudes and use of mammography audit reports.

Authors:  Joann G Elmore; Erin J Aiello Bowles; Berta Geller; Natalia Vukshich Oster; Patricia A Carney; Diana L Miglioretti; Diana S M Buist; Karla Kerlikowske; Edward A Sickles; Tracy Onega; Robert D Rosenberg; Bonnie C Yankaskas
Journal:  Acad Radiol       Date:  2010-06       Impact factor: 3.173

2.  Use of clinical history affects accuracy of interpretive performance of screening mammography.

Authors:  Patricia A Carney; Andrea J Cook; Diana L Miglioretti; Stephen A Feig; Erin Aiello Bowles; Berta M Geller; Karla Kerlikowske; Mark Kettler; Tracy Onega; Joann G Elmore
Journal:  J Clin Epidemiol       Date:  2011-10-15       Impact factor: 6.437

3.  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

4.  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

Review 5.  Imaging-based screening: maximizing benefits and minimizing harms.

Authors:  Jessica C Germino; Joann G Elmore; Ruth C Carlos; Christoph I Lee
Journal:  Clin Imaging       Date:  2015-06-12       Impact factor: 1.605

6.  Characterizing Diagnostic Search Patterns in Digital Breast Pathology: Scanners and Drillers.

Authors:  Ezgi Mercan; Linda G Shapiro; Tad T Brunyé; Donald L Weaver; Joann G Elmore
Journal:  J Digit Imaging       Date:  2018-02       Impact factor: 4.056

7.  Diffusion-weighted MRI to assess response to chemoradiotherapy in rectal cancer: main interpretation pitfalls and their use for teaching.

Authors:  Doenja M J Lambregts; Miriam M van Heeswijk; Andrea Delli Pizzi; Saskia G C van Elderen; Luisa Andrade; Nicky H G M Peters; Peter A M Kint; Margreet Osinga-de Jong; Shandra Bipat; Rik Ooms; Max J Lahaye; Monique Maas; Geerard L Beets; Frans C H Bakers; Regina G H Beets-Tan
Journal:  Eur Radiol       Date:  2017-04-13       Impact factor: 5.315

8.  Lack of agreement between radiologists: implications for image-based model observers.

Authors:  Juhun Lee; Robert M Nishikawa; Ingrid Reiser; Margarita L Zuley; John M Boone
Journal:  J Med Imaging (Bellingham)       Date:  2017-05-03

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.  Potentially missed detection with screening mammography: does the quality of radiologist's interpretation vary by patient socioeconomic advantage/disadvantage?

Authors:  Garth H Rauscher; Jenna A Khan; Michael L Berbaum; Emily F Conant
Journal:  Ann Epidemiol       Date:  2013-03-01       Impact factor: 3.797

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