Automated Breast Arterial Calcification Score Is Associated With Cardiovascular Outcomes and Mortality
BAC is independently associated with mortality and CVD, especially among younger women. Measurement of BAC beyond presence adds incremental risk stratification. Quantifying BAC using an artificial intelligence algorithm is feasible, clinically relevant, and may improve personalized CVD risk stratification.
Authors
- Tara Shrout Allen (ORCID: https://orcid.org/0000-0002-4818-6719)
- Quan M. Bui (ORCID: https://orcid.org/0000-0001-6070-6978)
- Richard Mantey (ORCID: https://orcid.org/0000-0002-2175-0084)
- Lori B. Daniels (ORCID: https://orcid.org/0000-0002-4841-9922)
- Mohammad Eghtedari (ORCID: https://orcid.org/0000-0002-4242-2637)
- Nitesh Nerlekar (ORCID: https://orcid.org/0000-0002-3437-8648)
- Gregory M. Petersen
- Junhao Wang (ORCID: https://orcid.org/0000-0002-4567-4290)
Institutions
- Citrix (Switzerland) (CH)
- Baker Heart and Diabetes Institute (AU)
- University of California San Diego (US)
- Monash Health (AU)
- Monash University (AU)
Publication Details
- Journal
- JACC Advances
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1016/j.jacadv.2024.101283
- Citations
- 18
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 7.54