Literature DB >> 34952487

Persistent inter-observer variability of breast density assessment using BI-RADS® 5th edition guidelines.

Leah H Portnow1, Dianne Georgian-Smith2, Irfanullah Haider2, Mirelys Barrios2, Camden P Bay2, Kerrie P Nelson3, Sughra Raza2.   

Abstract

OBJECTIVES: Due to most states' legislation, mammographic density categorization has potentially far-reaching implications, but remains subjective based on BIRADS® guidelines. We aimed to determine 1) effect of BI-RADS® 5th edition (5th-ed) vs 4th-edition (4th-ed) guidelines on reader agreement regarding density assessment; 2) 5th-ed vs 4th-ed density distribution, and visual vs quantitative assessment agreement; 3) agreement between experienced vs less experienced readers.
METHODS: In a retrospective review, six breast imaging radiologists (BIR) (23-30 years' experience) visually assessed density of 200 screening mammograms performed September 2012-January 2013 using 5th-ed guidelines. Results were compared to 2016 data of the same readers evaluating the same mammograms using 4th-ed guidelines after a training module. 5th-ed density categorization by seven junior BIR (1-5 years' experience) was compared to eight experienced BIR. Nelson et al.'s kappas (κm, κw), Fleiss' κF, and Cohen's κ were calculated. Quantitative density using Volpara was compared with reader assessments.
RESULTS: Inter-reader weighted agreement using 5th-ed is moderately strong, 0.73 (κw, s.e. = 0.01), similar to 4th-ed, 0.71 (κw, s.e. = 0.03). Intra-reader Cohen's κ is 0.23-0.34, similar to 4th-ed. Binary not-dense vs dense categorization, using 5th-ed results in higher dense categorization vs 4th-ed (p < 0.001). 5th-ed density distribution results in higher numbers in categories B/C vs 4th-ed (p < 0.001). Distribution for 5th-ed does not differ based on reader experience (p = 0.09). Reader vs quantitative weighted agreement is similar (5th-ed, Cohen's κ = 0.76-0.85; 4th-ed, Cohen's κ = 0.68-0.83).
CONCLUSION: There is persistent subjectivity of visually assessed mammographic density using 5th-ed guidelines; experience does not correlate with better inter-reader agreement.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Algorithms; Breast density; Computing methodologies; Mammography

Mesh:

Year:  2021        PMID: 34952487      PMCID: PMC8857050          DOI: 10.1016/j.clinimag.2021.11.034

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  32 in total

Review 1.  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

2.  Comparison Between Digital and Synthetic 2D Mammograms in Breast Density Interpretation.

Authors:  Taghreed I Alshafeiy; Antoine Wadih; Brandi T Nicholson; Carrie M Rochman; Heather R Peppard; James T Patrie; Jennifer A Harvey
Journal:  AJR Am J Roentgenol       Date:  2017-05-15       Impact factor: 3.959

3.  Automated Volumetric Breast Density Measurements in the Era of the BI-RADS Fifth Edition: A Comparison With Visual Assessment.

Authors:  Ji Hyun Youk; Hye Mi Gweon; Eun Ju Son; Jeong-Ah Kim
Journal:  AJR Am J Roentgenol       Date:  2016-03-02       Impact factor: 3.959

4.  Effects of Changes in BI-RADS Density Assessment Guidelines (Fourth Versus Fifth Edition) on Breast Density Assessment: Intra- and Interreader Agreements and Density Distribution.

Authors:  Abid Irshad; Rebecca Leddy; Susan Ackerman; Abbie Cluver; Dag Pavic; Ahad Abid; Madelene C Lewis
Journal:  AJR Am J Roentgenol       Date:  2016-09-22       Impact factor: 3.959

5.  Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis.

Authors:  Valerie A McCormack; Isabel dos Santos Silva
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-06       Impact factor: 4.254

6.  The mammographic breast density distribution of Finnish women with breast cancer and comparison of breast density reporting using the 4th and 5th editions of the Breast Imaging-Reporting and Data System.

Authors:  Aki Nykänen; Hidemi Okuma; Anna Sutela; Amro Masarwah; Ritva Vanninen; Mazen Sudah
Journal:  Eur J Radiol       Date:  2021-02-06       Impact factor: 3.528

7.  The use of batch reading to improve the performance of screening mammography.

Authors:  Elizabeth S Burnside; Jeong Mi Park; Jason P Fine; Gale A Sisney
Journal:  AJR Am J Roentgenol       Date:  2005-09       Impact factor: 3.959

8.  Breast density: clinical implications and assessment methods.

Authors:  Nicole S Winkler; Sughra Raza; Meaghan Mackesy; Robyn L Birdwell
Journal:  Radiographics       Date:  2015 Mar-Apr       Impact factor: 5.333

9.  Variation in Mammographic Breast Density Assessments Among Radiologists in Clinical Practice: A Multicenter Observational Study.

Authors:  Brian L Sprague; Emily F Conant; Tracy Onega; Michael P Garcia; Elisabeth F Beaber; Sally D Herschorn; Constance D Lehman; Anna N A Tosteson; Ronilda Lacson; Mitchell D Schnall; Despina Kontos; Jennifer S Haas; Donald L Weaver; William E Barlow
Journal:  Ann Intern Med       Date:  2016-07-19       Impact factor: 25.391

10.  Effect of Mammographic Screening Modality on Breast Density Assessment: Digital Mammography versus Digital Breast Tomosynthesis.

Authors:  Aimilia Gastounioti; Anne Marie McCarthy; Lauren Pantalone; Marie Synnestvedt; Despina Kontos; Emily F Conant
Journal:  Radiology       Date:  2019-03-19       Impact factor: 29.146

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