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American Heart Association

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Final ID: Mo1046

AI-enabled bone mineral density (AutoBMD AI) measurement in coronary artery calcium (CAC) scans associated with high CAC score independently of conventional risk factors: Multi-Ethnic Study of Atherosclerosis (MESA)

Abstract Body (Do not enter title and authors here): Background: The association between low bone mineral density (BMD) and coronary artery calcium (CAC) has been reported before using manual measurement of thoracic BMD. Such manual measurements are time-consuming and subject to operator errors. We therefore used an AI-enabled BMD measurement tool to explore the relationship between CAC and BMD independent of traditional risk factors.
Methods: The validation of AutoBMD AI (HeartLung.AI, Houston TX) has been reported previously. We applied AutoBMD to CAC scans of 6043 individuals (53.3% female, age 61.9±10.2 years) from the baseline examination (2000-2002) of MESA. Thoracic BMD was measured in T7-T9 vertebrae. Osteoporosis was defined as a T-Score below -2.5. Cox proportional hazards regression was used to calculate hazard ratios (HR) per unit change for 10-year coronary heart disease (CHD) prediction.
Results: Average BMD in men and women were 164.4 ± 45.1 and 163.1 ± 50.0 g/cm3 respectively (P=0.3467). Average CAC score for men and women were 223.4 ± 544.0 and 76.2 ± 241.3 cm3 respectively (P<0.0001). A total of 1672 cases were classified as osteoporotic, which included 986 (58.0%) men and 714 (42.0%) women. After adjusting for age, gender and conventional CVD risk factors, average CAC score in osteoporotic cases versus normal BMD was 170.1 ± 531.1 vs. 130.4 ± 272.8 respectively (P = 0.004). Decreased BMD was associated with CHD independently of CAC score and CVD risk factors (HR=0.997, p=0.0143).
Conclusion: Low BMD and high CAC are associated independently of age, gender, and traditional risk factors of cardiovascular diseases. Further studies are warranted to evaluate the potential added value of BMD to CAC for prediction of adverse events.
  • Naghavi, Morteza  ( HeartLung.AI , Houston , Texas , United States )
  • Atlas, Kyle  ( HeartLung.AI , Houston , Texas , United States )
  • Zhang, Chenyu  ( HeartLung.AI , Houston , Texas , United States )
  • Reeves, Anthony  ( Cornell University , Ithaca , New York , United States )
  • Atlas, Thomas  ( Tustin Teleradiology , Tustin , California , United States )
  • Henschke, Claudia  ( Mount Sinai Hospital , New York , New York , United States )
  • Yankelevitz, David  ( Mount Sinai Hospital , New York , New York , United States )
  • Roy, Sion  ( Lundquist Institute at Harbor UCLA , Malibu , California , United States )
  • Budoff, Matthew  ( LUNDQUIST INSTITUTE , Torrance , California , United States )
  • Author Disclosures:
    Morteza Naghavi: DO have relevant financial relationships ; Ownership Interest:HeartLung.AI:Active (exists now) | Kyle Atlas: DO have relevant financial relationships ; Independent Contractor:HeartLung.AI:Active (exists now) | Chenyu Zhang: DO have relevant financial relationships ; Employee:HeartLung Corporation:Active (exists now) ; Individual Stocks/Stock Options:HeartLung Corporation:Active (exists now) | Anthony Reeves: No Answer | Thomas Atlas: DO NOT have relevant financial relationships | Claudia Henschke: No Answer | David Yankelevitz: DO have relevant financial relationships ; Individual Stocks/Stock Options:HeartLung:Active (exists now) ; Advisor:Lunglife AI:Active (exists now) ; Advisor:Carestream:Active (exists now) ; Advisor:Median Technology:Active (exists now) ; Advisor:HeartLung:Active (exists now) ; Individual Stocks/Stock Options:Accumetra:Active (exists now) ; Royalties/Patent Beneficiary:General Electric:Active (exists now) | Sion Roy: DO NOT have relevant financial relationships | Matthew Budoff: DO have relevant financial relationships ; Researcher:General Electric:Active (exists now)
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Pathophysiology in Coronary Vasculature

Monday, 11/18/2024 , 01:30PM - 02:30PM

Abstract Poster Session

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