AI breast density software shows promise but needs more rigorous testing
Automated tools like Volpara and Quantra can match radiologists' manual assessments of breast density in cancer screening, a new review finds. But inconsistent testing methods mean healthcare systems can't yet confidently adopt these tools—forcing regulators and screening programs to demand larger, standardized studies before widespread deployment.
Originaltitel: Concordance between automated/semi-automated measurement and manual assessment of mammographic breast density in individuals undergoing breast cancer screening: A systematic review
= 98%). Studies of Quantra and other software showed broadly similar findings, but variability in software versions and BI-RADS editions limited comparability. Reporting of participant demographics was poor, thus generalisability is unclear.ConclusionsAutomated breast density software, such as Volpara and Quantra, shows promising concordance with manual BI-RADS assessment and may enhance consistency in screening programmes. Heterogeneity across studies and limited information on representativeness preclude firm conclusions. Large-scale, standardised, and inclusive evaluations are needed to establish clinical utility.FundingNational Institute for Health and Care Research.