Assessing the Positive Predictive Value of Architectural Distortion Detected with Digital Breast Tomosynthesis in BI-RADS 4 Cases.

Publication/Presentation Date

11-21-2020

Abstract

OBJECTIVE: The purpose of this study was to evaluate the positive predictive value of biopsy (PPV3) of architectural distortion (AD) detected on digital breast tomosynthesis (DBT) in BI-RADS 4 cases, where suspicion for malignancy remains broad.

METHODS: This Institutional Review Board-approved, retrospective study included screening and diagnostic mammograms performed from August 2015 to December 2017 with DBT and digital mammography (DM) revealing suspicious AD with a BI-RADS 4 assessment. Medical records were reviewed for clinical data, imaging, and pathology results. Malignancy rate was assessed by lesion visibility on DM and DBT. Multivariate analysis was performed to assess the odds ratio (OR) of malignancy.

RESULTS: A total of 63/179 cases were malignant, yielding a PPV3 of 35%. No significant difference in PPV3 was found by race, personal or family history of breast cancer, presence of microcalcifications, or mammogram type. Architectural distortion was more likely to be malignant when an US correlate was present (PPV3 49% vs 19%; P < 0.0001). Multivariate analysis demonstrated a 3-fold increased OR for malignancy with an US correlate present (P = 0.005). Lesion visibility analysis revealed a higher PPV3 for AD visible on DM-DBT compared with DBT alone (44% vs 26%; P = 0.01) and when an US correlate was present (DM-DBT 54% vs 30%, P = 0.02; DBT-only 43% vs 11%, P < 0.001).

CONCLUSIONS: Tomosynthesis-detected BI-RADS 4 AD are malignant in 35% of cases and are more likely to be malignant if an US correlate is present and if visible on both DM and DBT.

Volume

2

Issue

6

First Page

552

Last Page

560

ISSN

2631-6129

Disciplines

Diagnosis | Medicine and Health Sciences | Other Analytical, Diagnostic and Therapeutic Techniques and Equipment | Radiology

PubMedID

38424858

Department(s)

Department of Radiology and Diagnostic Medical Imaging

Document Type

Article

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