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MammographyClinical ValidationScreening

Enhancing Mammography Screening Sensitivity with AI-Assistance: Evidence from a Vietnamese Study Cohort

Insights into Imaging / ECR / 2024 / conference

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

DOI Poster
ROC comparison figure from ECR 2024 Vietnamese mammography cohort poster
Local visual summary of the AI-assisted mammography screening comparison described in the ECR EPOS poster. EPOS source

Scientific summary

This clinical validation study evaluates whether AI-assisted mammography reading improves sensitivity in a Vietnamese cohort with high breast-density prevalence.

Abstract

This ECR 2024 exhibit evaluates AI assistance for mammography screening in a Vietnamese cohort with high breast-density prevalence.

Why it matters

The study is clinically relevant because dense breast tissue can reduce mammographic conspicuity, motivating workflow-level evaluation of AI support.

Contribution

It compares BI-RADS-based mammography assessment with and without Transpara Breast AI support.

Method overview

A prospective Hanoi Medical University Hospital cohort was analyzed using radiologist reads, BI-RADS scoring, and ROC-based sensitivity comparisons.

Key findings

  • The EPOS poster reports a final cohort of 1,119 eligible patients.
  • The poster concludes that AI assistance increased screening sensitivity.
  • The study focuses on dense breast tissue, a known challenge for mammographic screening.

Citation

Bhandary Panambur A, Hoang Dinh A, Chung L, Le LT, Maier A, Rodriguez Ruiz A, Andrews M, Schmitt B, Bayer S. (2024). Enhancing Mammography Screening Sensitivity with AI-Assistance: Evidence from a Vietnamese Study Cohort. Insights into Imaging / ECR.

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