International breast density and cancer risk assessment workshop: advances, challenges, and emerging solutions, a summary from the 11th IBDW, Kaua‘i 2025

Abstract Breast density is one of the strongest risk factors for breast cancer and a key determinant of mammographic sensitivity, yet fundamental questions remain regarding its measurement, biology, and role in individualized risk management. The International Breast Density Workshop (IBDW) has convened biennially since 2002 to advance this field. The 11th IBDW was held in Līhue, Kaua’i, Hawai’i in June 2025, bringing together 85 unique abstracts from researchers, clinicians, and advocates representing 14 countries. The workshop was organized around five thematic sessions covering: the state of the art in risk assessment and imaging biomarkers; biological and environmental modulators of breast density; innovative technology and methods for imaging-based risk assessment; frontiers in integrating clinical, omic, and imaging biomarkers; and community engagement and health equity in screening strategies. An innovative Breast Cancer Risk Board, modeled on the clinical tumor board format, provided a forum for real-time audience engagement on individualized risk management cases. Across sessions, recurring themes included the rapid maturation of AI-based imaging biomarkers, the critical need for validation in racially and ethnically diverse populations, and the importance of standardized density measures for equitable screening recommendations. The 12th IBDW will be held in Maui, Hawai’i, June 2–4, 2027.

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Publication Details

Journal
Breast Cancer Research
Published
2026-09-10
DOI
https://doi.org/10.1186/s13058-026-02323-7
Primary Topic
Digital Radiography and Breast Imaging
Type
article
Field-Weighted Citation Impact
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article

International breast density and cancer risk assessment workshop: advances, challenges, and emerging solutions, a summary from the 11th IBDW, Kaua‘i 2025

Fredrik Strand, Celine Vachon, Kimberly Bertrand, John Shepherd et al.
Breast Cancer Research
Digital Radiography and Breast Imaging
article

International breast density and cancer risk assessment workshop: advances, challenges, and emerging solutions, a summary from the 11th IBDW, Kaua‘i 2025

Fredrik Strand, Celine Vachon, Kimberly Bertrand, John Shepherd, Karla Kerlikowske
article en

Abstract

Abstract Breast density is one of the strongest risk factors for breast cancer and a key determinant of mammographic sensitivity, yet fundamental questions remain regarding its measurement, biology, and role in individualized risk management. The International Breast Density Workshop (IBDW) has convened biennially since 2002 to advance this field. The 11th IBDW was held in Līhue, Kaua’i, Hawai’i in June 2025, bringing together 85 unique abstracts from researchers, clinicians, and advocates representing 14 countries. The workshop was organized around five thematic sessions covering: the state of the art in risk assessment and imaging biomarkers; biological and environmental modulators of breast density; innovative technology and methods for imaging-based risk assessment; frontiers in integrating clinical, omic, and imaging biomarkers; and community engagement and health equity in screening strategies. An innovative Breast Cancer Risk Board, modeled on the clinical tumor board format, provided a forum for real-time audience engagement on individualized risk management cases. Across sessions, recurring themes included the rapid maturation of AI-based imaging biomarkers, the critical need for validation in racially and ethnically diverse populations, and the importance of standardized density measures for equitable screening recommendations. The 12th IBDW will be held in Maui, Hawai’i, June 2–4, 2027.

Breast Cancer ResearchVol. 28(S2)
Boston University (US), University of California, San Francisco (US), Karolinska Institutet (SE), Cancer Center of Hawaii (US), Mayo Clinic in Arizona (US), University of San Francisco (US)
Partnerships for the goals
Openalex Percentile: Top 11%
Digital Radiography and Breast Imaging
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