The Impact of Mammographic, Radiologist, and Patient Factors on the Likelihood of Probably Benign (BI-RADS 3) Assessment at Diagnostic Mammography

Allyson L Chesebro; Nooshin Abbasi; Ronilda Lacson; Sona A Chikarmane; Andro R L Licaros; Catherine S Giess

doi:10.1093/jbi/wbae014

The Impact of Mammographic, Radiologist, and Patient Factors on the Likelihood of Probably Benign (BI-RADS 3) Assessment at Diagnostic Mammography

J Breast Imaging. 2024 Apr 24:wbae014. doi: 10.1093/jbi/wbae014. Online ahead of print.

Authors

Allyson L Chesebro^{1

2}, Nooshin Abbasi^{1

3}, Ronilda Lacson^{1

3}, Sona A Chikarmane^{1

2}, Andro R L Licaros^{1

3}, Catherine S Giess^{1

3

2}

Affiliations

¹ Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
² Harvard Medical School, Boston, MA, USA.
³ Center for Evidence-Based Imaging, Brigham and Women's Hospital, Brookline, MA, USA.

PMID: 38655858
DOI: 10.1093/jbi/wbae014

Abstract

Objective: To evaluate the association of mammographic, radiologist, and patient factors on BI-RADS 3 assessment at diagnostic mammography in patients recalled from screening mammography.

Methods: This Institutional Review Board-approved retrospective study of consecutive unique diagnostic mammography examinations in asymptomatic patients recalled from screening mammography March 5, 2014, to December 31, 2019, was conducted in a single large United States health care institution. Mammographic features (mass, calcification, distortion, asymmetry), breast density, prior examination, and BI-RADS assessment were extracted from reports by natural language processing. Patient age, race, and ethnicity were extracted from the electronic health record. Radiologist years in practice, recall rate, and number of interpreted diagnostic mammograms were calculated. A mixed effect logistic regression model evaluated factors associated with likelihood of BI-RADS 3 compared with other BI-RADS assessments.

Results: A total of 12 080 diagnostic mammography examinations were performed during the study period, yielding 2010 (16.6%) BI-RADS 3 and 10 070 (83.4%) other BI-RADS assessments. Asymmetry (odds ratio [OR] = 6.49, P <.001) and calcification (OR = 5.59, P <.001) were associated with increased likelihood of BI-RADS 3 assessment; distortion (OR = 0.20, P <.001), dense breast parenchyma (OR = 0.82, P <.001), prior examination (OR = 0.63, P = .01), and increasing patient age (OR = 0.99, P <.001) were associated with decreased likelihood. Mass, patient race or ethnicity, and radiologist factors were not significantly associated with BI-RADS 3 assessment. Malignancy rate for BI-RADS 3 lesions was 1.6%.

Conclusion: Asymmetry and calcifications had an increased likelihood of BI-RADS 3 assessment at diagnostic evaluation with low likelihood of malignancy, while radiologist features had no association.

Keywords: BI-RADS 3; diagnostic; mammography; probably benign; variability.

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