Breast Arterial Calcifications as an Imaging Biomarker of Cardiovascular Risk
NCT07156006 · Status: TERMINATED · Type: OBSERVATIONAL · Enrollment: 149
Last updated 2025-09-04
Summary
The goal of this observational study is to assess if there is an association between the presence of BAC and traditional cardiovascular risk factors and validate a Convolutional Neural Network (CNN) for the automatic segmentation of Breast Arterial Calcifications (BAC) in mammographic images. This study focuses on understanding the potential of BAC as an imaging biomarker for cardiovascular risk.
The main questions it aims to answer are:
* Is there an association between the presence of BAC and traditional cardiovascular risk factors?
* Can a CNN accurately segment BAC in mammographic images?
* What is the correlation between BAC and White Matter Hyperintensities (WMH) detected through brain MRI?
Participants in this study will be individuals who undergo mammographic screening. The main tasks participants will be asked to do include providing consent for participation and having mammographic images and a blood sample taken. The study will use a comparison group, comparing individuals with BAC to those without BAC, to assess potential effects on cardiovascular risk.
Conditions
- Breast
- Cardiovascular Calcification
Interventions
- DIAGNOSTIC_TEST
-
Mammography
Participants will undergo mammographic imaging using a digital full-field mammography system, following standard clinical practices and blood sampling.
Sponsors & Collaborators
-
IRCCS Policlinico S. Donato
lead OTHER
Eligibility
- Min Age
- 40 Years
- Sex
- FEMALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-09-11
- Primary Completion
- 2024-04-29
- Completion
- 2024-04-29
Countries
- Italy
Study Locations
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