Literature DB >> 16085233

Categorizing breast mammographic density: intra- and interobserver reproducibility of BI-RADS density categories.

S Ciatto1, N Houssami, A Apruzzese, E Bassetti, B Brancato, F Carozzi, S Catarzi, M P Lamberini, G Marcelli, R Pellizzoni, B Pesce, G Risso, F Russo, A Scorsolini.   

Abstract

The inter- and intraobserver agreement (kappa-statistic) in reporting according to Breast Imaging Reporting and Data System (BI-RADS((R))) breast density categories was tested in 12 dedicated breast radiologists reading a digitized set of 100 two-view mammograms. Average intraobserver agreement was substantial (kappa=0.71, range 0.32-0.88) on a four-grade scale (D1/D2/D3/D4) and almost perfect (kappa=0.81, range 0.62-1.00) on a two-grade scale (D1-2/D3-4). Average interobserver agreement was moderate (kappa=0.54, range 0.02-0.77) on a four-grade scale and substantial (kappa=0.71, range 0.31-0.88) on a two-grade scale. Major disagreement was found for intermediate categories (D2=0.25, D3=0.28). Categorization of breast density according to BI-RADS is feasible and consistency is good within readers and reasonable between readers. Interobserver inconsistency does occur, and checking the adoption of proper criteria through a proficiency test and appropriate training might be useful. As inconsistency is probably due to erroneous perception of classification criteria, standard sets of reference images should be made available for training.

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Year:  2005        PMID: 16085233     DOI: 10.1016/j.breast.2004.12.004

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  72 in total

1.  Interobserver agreement in breast radiological density attribution according to BI-RADS quantitative classification.

Authors:  D Bernardi; M Pellegrini; S Di Michele; P Tuttobene; C Fantò; M Valentini; M Gentilini; S Ciatto
Journal:  Radiol Med       Date:  2012-01-07       Impact factor: 3.469

2.  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

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.  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

5.  The influence of statin use on breast density.

Authors:  Denise M Boudreau; Carolyn M Rutter; Diana S M Buist
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-05       Impact factor: 4.254

6.  Observer Variability of the Breast Imaging Reporting and Data System (BI-RADS) Lexicon for Mammography.

Authors:  Zehra H Adibelli; Ruken Ergenc; Ozgur Oztekin; Suheyla Ecevit; Gokhan Unal; Yusuf Abal
Journal:  Breast Care (Basel)       Date:  2010-02-16       Impact factor: 2.860

7.  Nonsteroidal anti-inflammatory drugs and change in mammographic density: a cohort study using pharmacy records on over 29,000 postmenopausal women.

Authors:  Mary Beth Terry; Diana S M Buist; Amy Trentham-Dietz; Tamarra M James-Todd; Yuyan Liao
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-05       Impact factor: 4.254

8.  Breast tissue characterization with photon-counting spectral CT imaging: a postmortem breast study.

Authors:  Huanjun Ding; Michael J Klopfer; Justin L Ducote; Fumitaro Masaki; Sabee Molloi
Journal:  Radiology       Date:  2014-05-07       Impact factor: 11.105

9.  Convolutional Neural Network Based Breast Cancer Risk Stratification Using a Mammographic Dataset.

Authors:  Richard Ha; Peter Chang; Jenika Karcich; Simukayi Mutasa; Eduardo Pascual Van Sant; Michael Z Liu; Sachin Jambawalikar
Journal:  Acad Radiol       Date:  2018-07-31       Impact factor: 3.173

10.  Reported mammographic density: film-screen versus digital acquisition.

Authors:  Jennifer A Harvey; Charlotte C Gard; Diana L Miglioretti; Bonnie C Yankaskas; Karla Kerlikowske; Diana S M Buist; Berta A Geller; Tracy L Onega
Journal:  Radiology       Date:  2012-12-18       Impact factor: 11.105

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