Literature DB >> 8610547

Breast imaging reporting and data system standardized mammography lexicon: observer variability in lesion description.

J A Baker1, P J Kornguth, C E Floyd.   

Abstract

OBJECTIVE: The American College of Radiology has recommended the Breast Imaging Reporting and Data System (BI-RADS) as a standardized scheme for describing mammographic lesions. The objective of this study was to measure inter- and intraobserver variabilities of radiologists' descriptions of mammographic lesions with the BI-RADS standardized lexicon.
MATERIALS AND METHODS: Sixty mammographic studies with abnormal findings were independently evaluated by five radiologists. Readers described each lesion by selecting a single term from the BI-RADS lexicon for each of eight morphologic categories: calcification distribution, number, and description; mass margin, shape, and density; associated findings; and special cases. Additionally, each reader assessed the significance of each lesion on a five-point scale. One observer read each case twice. Inter- and intraobserver variabilities for each description and interpretation category of the BI-RADS lexicon were determined with Cohen's kappa statistic. Radiologists' specific use of calcification descriptors was evaluated in detail.
RESULTS: Substantial agreement was observed between readers for choosing terms to describe masses and calcifications (kappa value range, 0.50 +/- 0.02-0.77 +/- 0.03). Intraobserver agreement for these categories was similar (kappa value range, 0.57 +/- 0.07-0.84 +/- 0.09). Considerable inter- and intraobserver variabilities were noted for the "associated findings" and "special cases" categories (kappa value range, -0.02 +/- 0.14-0.38 +/- 0.12), a result that in part reflected the small number of cases to which these categories were assigned. Moderate interobserver variability and little intraobserver variability in the interpretation of lesion significance were noted when an assessment classification similar to that of BI-RADS was used. Use of terms to describe calcifications did not always conform to BI-RADS-defined levels of suspicion.
CONCLUSION: BI-RADS is moderately successful in providing a standardized language for physicians to describe lesion morphology. Efforts to reevaluate specific terms and the diagnostic significance assigned to calcification descriptors may prove useful in maintaining the promise of improved quality with the BI-RADS standardized mammography lexicon.

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Year:  1996        PMID: 8610547     DOI: 10.2214/ajr.166.4.8610547

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


  30 in total

1.  A comparison of logistic regression analysis and an artificial neural network using the BI-RADS lexicon for ultrasonography in conjunction with introbserver variability.

Authors:  Sun Mi Kim; Heon Han; Jeong Mi Park; Yoon Jung Choi; Hoi Soo Yoon; Jung Hee Sohn; Moon Hee Baek; Yoon Nam Kim; Young Moon Chae; Jeon Jong June; Jiwon Lee; Yong Hwan Jeon
Journal:  J Digit Imaging       Date:  2012-10       Impact factor: 4.056

2.  External validation of a publicly available computer assisted diagnostic tool for mammographic mass lesions with two high prevalence research datasets.

Authors:  Matthias Benndorf; Elizabeth S Burnside; Christoph Herda; Mathias Langer; Elmar Kotter
Journal:  Med Phys       Date:  2015-08       Impact factor: 4.071

3.  Lexicon for standardized interpretation of gamma camera molecular breast imaging: observer agreement and diagnostic accuracy.

Authors:  Amy Lynn Conners; Carrie B Hruska; Cindy L Tortorelli; Robert W Maxwell; Deborah J Rhodes; Judy C Boughey; Wendie A Berg
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-06       Impact factor: 9.236

Review 4.  Applications and literature review of the BI-RADS classification.

Authors:  S Obenauer; K P Hermann; E Grabbe
Journal:  Eur Radiol       Date:  2005-01-26       Impact factor: 5.315

5.  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

6.  Analysis of stereotactic vacuum-assisted breast biopsy for patients with segmental calcifications.

Authors:  Kazuhiro Suzuki; Akihiko Shiraishi; Atsushi Arakawa
Journal:  Jpn J Radiol       Date:  2009-12-25       Impact factor: 2.374

7.  Voice-activated retrieval of mammography reference images.

Authors:  H A Swett; P G Mutalik; V P Neklesa; L Horvath; C Lee; J Richter; I Tocino; P R Fisher
Journal:  J Digit Imaging       Date:  1998-05       Impact factor: 4.056

8.  Quantitative differentiation of benign and malignant mammographic circumscribed masses using intensity histograms.

Authors:  Tomoyuki Ohta; Norio Nakata; Makiko Nishioka; Takao Igarashi; Kunihiko Fukuda
Journal:  Jpn J Radiol       Date:  2015-07-25       Impact factor: 2.374

9.  Workflow Lexicons in Healthcare: Validation of the SWIM Lexicon.

Authors:  Chris Meenan; Bradley Erickson; Nancy Knight; Jewel Fossett; Elizabeth Olsen; Prerna Mohod; Joseph Chen; Steve G Langer
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

10.  Breast cancer risk prediction and mammography biopsy decisions: a model-based study.

Authors:  Katrina Armstrong; Elizabeth A Handorf; Jinbo Chen; Mirar N Bristol Demeter
Journal:  Am J Prev Med       Date:  2013-01       Impact factor: 5.043

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