AI-enabled automated bone mineral density measurement in coronary artery calcium scans (AutoBMD) is associated with high coronary artery calcium score independently of conventional risk factors:

Nov 27, 2024

2 min read

The Multi-Ethnic Study of Atherosclerosis (MESA)

AUTHORS (FIRST NAME, LAST NAME):

Kyle Atlas, Chenyu Zhang, Anthony P. Reeves, Dong Li, Thomas Atlas, Matthew Budoff, David Yankelevitz, Claudia Henschke, and Morteza Naghavi.

Abstract:

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 AutoBMDTM (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 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.