Concordant and Discordant Breast Density Patterns by Different approaches for Assessing Breast Density and Breast Cancer Risk
Yoosun Cho,
Eun Kyung Park,
Yoosoo Chang
et al.
Abstract:Purpose
To examine the discrepancy in breast density assessments by radiologists, LIBRA software, and AI algorithm and their association with breast cancer risk.
Methods
Among 74,610 Korean women aged ≥ 34 years, who underwent screening mammography, density estimates obtained from both LIBRA and the AI algorithm were compared to radiologists using BI-RADS density categories (A–D, designating C and D as dense breasts). The breast cancer risks were compared according to concordant or discordant dense breasts i… Show more
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