Plain-English translation of NCT07415499 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are studying how breast density — the amount of fibrous and glandular tissue in the breast — affects how well mammograms can detect breast cancer. Some women have naturally denser breast tissue, which can make it harder for mammograms to spot suspicious areas. This study will look at screening records from nearly 3,300 women to understand these patterns and also test a new computer software tool that measures breast density automatically.
Dense breast tissue can hide early signs of cancer on mammograms and makes women more vulnerable to breast cancer overall. Understanding how density affects screening results will help doctors provide better, more personalized care and may improve cancer detection rates.
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This is a retrospective study, meaning researchers will review your existing mammogram screening records and results — you won't need to attend new visits or receive any treatment. The study will collect information about your breast density category, whether you were recalled for additional imaging, and details about your health history. A new computer software tool will also analyze your mammogram images automatically and compare those results with readings from radiologists.
AI-generated summary from trial data · Jun 24, 2026 · Not medical advice
Italy
Enrollment target
~3,300 participants
Started
January 2026
Primary completion
June 2026
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
45 Years – 75 Years
Sex
Female only
Last updated on clinicaltrials.gov in February 2026.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Francesco Lucio, Principal Investigator
Azienda Sanitaria Locale CN2 Alba-Bra
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.