Copyright: ©Author(s) 2026.
World J Diabetes. Aug 15, 2026; 17(8): 121422
Published online Aug 15, 2026. doi: 10.4239/wjd.121422
Published online Aug 15, 2026. doi: 10.4239/wjd.121422
Table 5 Multivariate linear regression analysis of type 2 diabetes mellitus with bone mineral density, epicardial adipose tissue volume, and epicardial adipose tissue density
| Model | BMD | EAT volume | EAT density | |||
| β (95%CI) | P value | β (95%CI) | P value | β (95%CI) | P value | |
| Model 1 | -9.579 (-11.617 to -7.542) | < 0.001 | 24.122 (19.546-28.697) | < 0.001 | 2.255 (1.711-2.799) | < 0.001 |
| Model 2 | 1.411 (-0.411 to 3.233) | 0.129 | 4.304 (-0.070 to 8.679) | 0.054 | 3.611 (3.055-4.167) | < 0.001 |
| Model 3 | 0.506 (-1.477 to 2.489) | 0.617 | -3.363 (-8.056 to 1.331) | 0.16 | 4.131 (3.528-4.733) | < 0.001 |
- Citation: Liu YK, Wu FY, Jiang CP, Xia YX, Li Y, Zeng WW, Zhang SY, Fan DN, Zhang MX, Liu TC, Wu XP, Dong Y, Chen W, Zhao YH, Li T, Li Z, Xu XY. Artificial intelligence-based chest computed tomography assessment of bone, vascular, and epicardial adipose changes in type 2 diabetes. World J Diabetes 2026; 17(8): 121422
- URL: https://www.wjgnet.com/1948-9358/full/v17/i8/121422.htm
- DOI: https://dx.doi.org/10.4239/wjd.121422