Literature DB >> 17179372

Performance parameters for screening and diagnostic mammography in a community practice: are there differences between specialists and general radiologists?

Jessica W T Leung1, Frederick R Margolin, Katherine E Dee, Richard P Jacobs, Susan R Denny, John D Schrumpf.   

Abstract

OBJECTIVE: The purpose of this study was to compare the performance of general radiologists in interpretation of mammograms with that of breast imaging specialists in a high-volume community hospital-based private practice.
MATERIALS AND METHODS: A retrospective observational study was conducted with data prospectively collected over a 5-year period in a community hospital-based practice in which 106,405 screening and 52,149 diagnostic mammograms were performed. The performance of three radiologists specializing in breast imaging was compared with that of six general radiologists. The following data were extracted and analyzed: recall rate, biopsy recommendation rate, and cancer detection rate. Statistical analysis was performed with a chi-square test and two-tailed calculation of p values.
RESULTS: The recall rates of the specialists and generalists were nearly the same at 6.5% and 6.7%, respectively. The biopsy recommendation rate at recall from screening examinations was nearly the same for generalists and specialists (1.2% and 1.1%, respectively; p = 0.4504). This rate also was similar for diagnostic examinations (8.5% for generalists; 8.4% for specialists; p = 0.4086). The cancer detection rate in the screening setting was slightly higher for specialists than for generalists: 2.5 and 2.0 cancers per 1,000 cases, respectively (p = 0.0614). The cancer detection rate in the diagnostic setting was 24.2% higher among specialists (20.0 cancers per 1,000 cases) compared with generalists (16.1 cancers per 1,000 cases) (p = 0.0177).
CONCLUSION: The only statistically significant difference between generalists and specialists was in cancer detection rate among patients undergoing diagnostic mammography. No statistically significant difference was identified between the two groups in terms of recall rate, biopsy recommendation rate, or percentage of favorable-prognosis cases of cancer detected. There was a trend toward greater cancer detection by specialists in the screening setting.

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Year:  2007        PMID: 17179372     DOI: 10.2214/AJR.05.1581

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  16 in total

1.  Individualized computer-aided education in mammography based on user modeling: concept and preliminary experiments.

Authors:  Maciej A Mazurowski; Jay A Baker; Huiman X Barnhart; Georgia D Tourassi
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

2.  A content-boosted collaborative filtering algorithm for personalized training in interpretation of radiological imaging.

Authors:  Hongli Lin; Xuedong Yang; Weisheng Wang
Journal:  J Digit Imaging       Date:  2014-08       Impact factor: 4.056

3.  Diagnostic mammography: identifying minimally acceptable interpretive performance criteria.

Authors:  Patricia A Carney; Jay Parikh; Edward A Sickles; Stephen A Feig; Barbara Monsees; Lawrence W Bassett; Robert A Smith; Robert Rosenberg; Laura Ichikawa; James Wallace; Khai Tran; Diana L Miglioretti
Journal:  Radiology       Date:  2013-01-07       Impact factor: 11.105

4.  Value of second-opinion review of outside institution PET-CT examinations.

Authors:  Gary A Ulaner; Lorenzo Mannelli; Mark Dunphy
Journal:  Nucl Med Commun       Date:  2017-04       Impact factor: 1.690

5.  Do mammographic technologists affect radiologists' diagnostic mammography interpretative performance?

Authors:  Louise M Henderson; Thad Benefield; J Michael Bowling; Danielle D Durham; Mary W Marsh; Bruce F Schroeder; Bonnie C Yankaskas
Journal:  AJR Am J Roentgenol       Date:  2015-04       Impact factor: 3.959

6.  Benefits of the quality assured double and arbitration reading of mammograms in the early diagnosis of breast cancer in symptomatic women.

Authors:  Annika Waldmann; Smaragda Kapsimalakou; Alexander Katalinic; Isabell Grande-Nagel; Beate M Stoeckelhuber; Dorothea Fischer; Joerg Barkhausen; Florian M Vogt
Journal:  Eur Radiol       Date:  2011-11-18       Impact factor: 5.315

7.  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

8.  Radiologist characteristics associated with interpretive performance of diagnostic mammography.

Authors:  Diana L Miglioretti; Rebecca Smith-Bindman; Linn Abraham; R James Brenner; Patricia A Carney; Erin J Aiello Bowles; Diana S M Buist; Joann G Elmore
Journal:  J Natl Cancer Inst       Date:  2007-12-11       Impact factor: 13.506

9.  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

Review 10.  Statistical approaches for modeling radiologists' interpretive performance.

Authors:  Diana L Miglioretti; Sebastien J P A Haneuse; Melissa L Anderson
Journal:  Acad Radiol       Date:  2009-02       Impact factor: 3.173

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