Literature DB >> 20729460

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

Jacqueline R Halladay1, Bonnie C Yankaskas, J Michael Bowling, Camille Alexander.   

Abstract

OBJECTIVE: The purpose of this study was to evaluate whether the positive predictive value (PPV) after a recommendation for biopsy differs when one as opposed to more than one radiologist performs the workup after abnormal findings are discovered at screening mammography.
MATERIALS AND METHODS: Using data in a mammography registry for the years 1996-2005, we identified 6,391 diagnostic examinations with a recommendation for biopsy that were performed on a day other than the day of the screening examination. The PPV after a recommendation for biopsy was calculated for two scenarios. In the first scenario, the radiologist interpreting the diagnostic images had interpreted the screening images. In the second scenario, the radiologist read diagnostic images after another radiologist had read the screening images. We used conditional logistic regression analysis to perform within-radiologist comparisons, controlling for covariates known to be associated with PPV after a recommendation for biopsy.
RESULTS: Of the screening examinations with positive findings, 2,335 (36.5%) were scenario 1, and 4,056 (63.5%) were scenario 2. We found no difference between the two scenarios with respect to PPV after a recommendation for biopsy when we controlled for age, breast density, family history of breast cancer, history of breast procedures, time since last mammogram, use of ultrasound at any point in the workup after abnormal results of screening mammography, and interval in days between the screening and diagnostic studies.
CONCLUSION: Who interprets the follow-up images after screening mammograms show abnormal findings does not appear to be an important factor influencing the wide variability in PPV among radiologists.

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Mesh:

Year:  2010        PMID: 20729460      PMCID: PMC4451561          DOI: 10.2214/AJR.09.2955

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


  13 in total

1.  Improving the accuracy of mammography: volume and outcome relationships.

Authors:  Laura Esserman; Helen Cowley; Carey Eberle; Alastair Kirkpatrick; Sophia Chang; Kevin Berbaum; Alastair Gale
Journal:  J Natl Cancer Inst       Date:  2002-03-06       Impact factor: 13.506

2.  Accuracy of screening mammography interpretation by characteristics of radiologists.

Authors:  William E Barlow; Chen Chi; Patricia A Carney; Stephen H Taplin; Carl D'Orsi; Gary Cutter; R Edward Hendrick; Joann G Elmore
Journal:  J Natl Cancer Inst       Date:  2004-12-15       Impact factor: 13.506

3.  Professional and economic factors affecting access to mammography: a crisis today, or tomorrow? Results from a national survey.

Authors:  Dione M Farria; Maria E Schmidt; Barbara S Monsees; Robert A Smith; Charles Hildebolt; Roberta Yoffie; Debra L Monticciolo; Stephen A Feig; Lawrence W Bassett
Journal:  Cancer       Date:  2005-08-01       Impact factor: 6.860

4.  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

5.  Performance benchmarks for screening mammography.

Authors:  Robert D Rosenberg; Bonnie C Yankaskas; Linn A Abraham; Edward A Sickles; Constance D Lehman; Berta M Geller; Patricia A Carney; Karla Kerlikowske; Diana S M Buist; Donald L Weaver; William E Barlow; Rachel Ballard-Barbash
Journal:  Radiology       Date:  2006-10       Impact factor: 11.105

6.  Concordance of breast imaging reporting and data system assessments and management recommendations in screening mammography.

Authors:  Stephen H Taplin; Laura E Ichikawa; Karla Kerlikowske; Virginia L Ernster; Robert D Rosenberg; Bonnie C Yankaskas; Patricia A Carney; Berta M Geller; Nicole Urban; Mark B Dignan; William E Barlow; Rachel Ballard-Barbash; Edward A Sickles
Journal:  Radiology       Date:  2002-02       Impact factor: 11.105

7.  Variability in the interpretation of screening mammograms by US radiologists. Findings from a national sample.

Authors:  C A Beam; P M Layde; D C Sullivan
Journal:  Arch Intern Med       Date:  1996-01-22

8.  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

9.  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

10.  International variation in screening mammography interpretations in community-based programs.

Authors:  Joann G Elmore; Connie Y Nakano; Thomas D Koepsell; Laurel M Desnick; Carl J D'Orsi; David F Ransohoff
Journal:  J Natl Cancer Inst       Date:  2003-09-17       Impact factor: 13.506

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  2 in total

1.  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

2.  DNA-methylation for the detection and distinction of 19 human malignancies.

Authors:  Ludmila Danilova; John Wrangle; James G Herman; Leslie Cope
Journal:  Epigenetics       Date:  2021-03-05       Impact factor: 4.528

  2 in total

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