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MammographyClinical ValidationBreast Density

AI-Assisted Detection of Malignant Breast Cancer in High Breast Density Cohorts: A Retrospective Comparative Study

Insights into Imaging / ECR / 2025 / conference

Bhandary Panambur A, Hoang Dinh A, Chung L, Le LT, Maier A, Rodriguez Ruiz A, Andrews M, Schmitt B, Bayer S

DOI Poster
AI-assisted mammography detection visual for dense breast cohorts
Local visual summary of AI-assisted mammography assessment in dense-breast cohorts. EPOS source

Scientific summary

This retrospective study evaluates AI-assisted malignant breast cancer detection in a cohort enriched for high breast density.

Abstract

This ECR 2025 exhibit studies AI-assisted malignant breast cancer detection in a high breast-density cohort.

Why it matters

High breast density remains a major limitation for mammography sensitivity, making AI-assisted triage and interpretation a clinically relevant research direction.

Contribution

It compares radiologist agreement and AI-assisted interpretation in a cohort enriched for dense breast tissue.

Method overview

The retrospective study evaluates biopsy-confirmed outcomes, BI-RADS reader agreement, and Transpara risk classification.

Key findings

  • The EPOS poster reports 136 negative patients and 292 patients with unilateral lesions.
  • Of the unilateral lesion patients, 138 were malignant; bilateral disease included 3 malignant cases.
  • The poster concludes that AI tools can support cancer detection in dense breast tissue.

Citation

Bhandary Panambur A, Hoang Dinh A, Chung L, Le LT, Maier A, Rodriguez Ruiz A, Andrews M, Schmitt B, Bayer S. (2025). AI-Assisted Detection of Malignant Breast Cancer in High Breast Density Cohorts: A Retrospective Comparative Study. Insights into Imaging / ECR.

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