Characterization of True and False Positive Findings on Contrast-Enhanced Mammography

Acad Radiol. 2022 Nov;29(11):1672-1681. doi: 10.1016/j.acra.2022.01.006. Epub 2022 Feb 18.

Abstract

Rationale and objectives: The purpose of this paper is to characterize true and false positive findings on contrast-enhanced mammography (CEM) and correlate enhancement pattern and method of detection with pathology outcomes.

Materials and methods: This was an IRB-approved retrospective review of diagnostic CEM performed from December 2015 through December 2019 for which biopsy was recommended. Background parenchymal enhancement, tissue density, finding features, pathologic/clinical outcomes, and method of detection were captured. CEM includes low-energy images (LE), similar to standard 2D mammography, and recombined images (RI) that show enhancement. 'MG-detected' findings were identified on mammography or LE. 'RI-detected' findings were identified due to enhancement on RI. The positive predictive value (PPV2) was calculated on a per-case and a per-finding level. Comparisons were performed using Pearson chi-square and Fisher exact tests.

Results: One hundred sixty CEM cases with 220 findings were evaluated with a case PPV2 of 58.1%. 32.3% (71/220) of lesions were RI-detected. The PPV2 of RI-detected enhancement was 40.8% with subanalysis revealing PPV2 of 22.2%, 32%, and 51.4% for foci, NME, and masses, respectively. The PPV2 of MG-detected enhancement was 73.5% with subanalysis revealing PPV2 of 50%, 54.1%, and 83.8% for foci, NME, and masses, respectively. There were 100 false positives findings, 42 of which were RI-detected.

Conclusion: PPV2 of diagnostic CEM is within the range of other diagnostic breast imaging exams. However false positives remain a challenge, especially for RI-detected findings. Additional efforts to improve specificity of RI-detected findings are worthwhile.

Keywords: Contrast-enhanced mammography; Diagnostic mammography; False positive.

MeSH terms

  • Breast / diagnostic imaging
  • Breast Neoplasms* / diagnostic imaging
  • Breast Neoplasms* / pathology
  • Female
  • Humans
  • Image Enhancement
  • Mammography* / methods
  • Predictive Value of Tests
  • Sensitivity and Specificity