Beyond the Coronaries: Utility of Extra-Coronary Calcification for Cardiovascular Risk Assessment in Women

Emily Littman1, Syed Bukhari2, Haley Watts1

  • 1Department of Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Insights

Extra-coronary calcification (ECC) shows promise for identifying cardiovascular disease risk in women, especially when traditional tools underestimate it. Further research is needed to integrate ECC into clinical guidelines for better preventive care.

Area of Science:

  • Cardiology
  • Radiology
  • Women's Health

Background:

  • Cardiovascular disease (CVD) is a leading cause of mortality in women globally.
  • Traditional atherosclerotic cardiovascular disease risk (ASCVD) calculators often underestimate risk in women.
  • Coronary artery calcium scoring improves risk stratification but is underutilized.

Purpose of the Study:

  • To review the emerging role of extra-coronary calcification (ECC) as an adjunctive imaging biomarker for cardiovascular risk assessment in women.
  • To highlight the potential of ECC in identifying women with underestimated ASCVD risk.

Main Methods:

  • Review of current literature on ECC, including breast arterial, valvular, and thoracic aortic calcification.
  • Analysis of factors influencing calcification in women, including hormonal and pregnancy-related factors.
  • Exploration of incidental ECC detection through common imaging modalities like mammography and CT scans.

Main Results:

  • ECC is influenced by inflammation, osteogenic pathways, and female-specific factors like menopause and parity.
  • Incidental ECC detection offers a cost-effective method for cardiovascular risk identification.
  • ECC is independently associated with various cardiovascular outcomes, including coronary artery disease, stroke, and mortality.
  • ECC shows particular value in women with underestimated risk by traditional tools.

Conclusions:

  • ECC serves as a valuable complementary ASCVD risk-enhancing marker for women.
  • Standardization of ECC recognition, scoring, and further prospective outcome data are crucial for guideline integration.
  • Future research should focus on AI-assisted quantification and prospective trials to assess ECC-guided prevention efficacy.
Abstract

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