Literature DB >> 9839520

Variability and accuracy in mammographic interpretation using the American College of Radiology Breast Imaging Reporting and Data System.

K Kerlikowske1, D Grady, J Barclay, S D Frankel, S H Ominsky, E A Sickles, V Ernster.   

Abstract

BACKGROUND: Several studies, which were limited by their small sample size and selection of difficult cases for review, have reported substantial variability among radiologists in interpretation of mammographic examinations. We have determined, in the largest study to date, intraobserver and interobserver agreement in interpreting screening mammography and accuracy of mammography by use of the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS).
METHODS: The mammographic examinations were randomly selected on the basis of original mammographic interpretation and cancer outcome from 71,713 screening examinations performed by the Mobile Mammography Screening Program of the University of California, San Francisco, during the period from April 1985 through February 1995. The final sample included 786 abnormal examinations with no cancer detected, 267 abnormal examinations with cancer detected, and 1563 normal examinations. Films were read separately by two radiologists according to BI-RADS. Cancer status was determined by contacting women's physicians and by linkage to the regional Surveillance, Epidemiology, and End Results Program.
RESULTS: There was moderate agreement between radiologists in reporting the presence of a finding when cancer was present (kappa = 0.54) and substantial agreement when cancer was not present (kappa = 0.62). Agreement was moderate in assigning one of the five assessment categories but was statistically significantly lower when cancer was present relative to when cancer was not present (kappa = 0.46 versus 0.56; two-sided P = .02). Agreement for reporting the presence of a finding and mammographic assessment was two-fold more likely for examinations with less dense breasts. Agreement was higher on repeat readings by the same radiologists than between radiologists. The sensitivity of mammography was lower with BI-RADS than with the original system for mammographic interpretation, but the positive predictive value of mammography was higher.
CONCLUSION: Considerable variability in interpretation of mammographic examinations exists; this variability and the accuracy of mammography are neither improved nor diminished with use of BI-RADS.

Entities:  

Mesh:

Year:  1998        PMID: 9839520     DOI: 10.1093/jnci/90.23.1801

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  80 in total

1.  The positive predictive value of the breast imaging reporting and data system (BI-RADS) as a method of quality assessment in breast imaging in a hospital population.

Authors:  Harmine M Zonderland; Thomas L Pope; Arend J Nieborg
Journal:  Eur Radiol       Date:  2004-07-09       Impact factor: 5.315

Review 2.  Breast tissue composition and susceptibility to breast cancer.

Authors:  Norman F Boyd; Lisa J Martin; Michael Bronskill; Martin J Yaffe; Neb Duric; Salomon Minkin
Journal:  J Natl Cancer Inst       Date:  2010-07-08       Impact factor: 13.506

3.  Breast cancer risk by breast density, menopause, and postmenopausal hormone therapy use.

Authors:  Karla Kerlikowske; Andrea J Cook; Diana S M Buist; Steve R Cummings; Celine Vachon; Pamela Vacek; Diana L Miglioretti
Journal:  J Clin Oncol       Date:  2010-07-19       Impact factor: 44.544

4.  Measuring intrarater association between correlated ordinal ratings.

Authors:  Kerrie P Nelson; Thomas J Zhou; Don Edwards
Journal:  Biom J       Date:  2020-06-11       Impact factor: 2.207

5.  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

6.  The Effect of Budgetary Restrictions on Breast Cancer Diagnostic Decisions.

Authors:  Mehmet U S Ayvaci; Oguzhan Alagoz; Elizabeth S Burnside
Journal:  Manuf Serv Oper Manag       Date:  2012-04       Impact factor: 7.600

7.  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

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.  Diagnostic Performance and Interreader Agreement of a Standardized MR Imaging Approach in the Prediction of Small Renal Mass Histology.

Authors:  Fernando U Kay; Noah E Canvasser; Yin Xi; Daniella F Pinho; Daniel N Costa; Alberto Diaz de Leon; Gaurav Khatri; John R Leyendecker; Takeshi Yokoo; Aaron H Lay; Nicholas Kavoussi; Ersin Koseoglu; Jeffrey A Cadeddu; Ivan Pedrosa
Journal:  Radiology       Date:  2018-02-01       Impact factor: 11.105

Review 10.  Screening for breast cancer.

Authors:  Joann G Elmore; Katrina Armstrong; Constance D Lehman; Suzanne W Fletcher
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.