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©The Author(s) 2025.
World J Cardiol. Jul 26, 2025; 17(7): 108745
Published online Jul 26, 2025. doi: 10.4330/wjc.v17.i7.108745
Published online Jul 26, 2025. doi: 10.4330/wjc.v17.i7.108745
Table 4 Alignment of left ventricle and right ventricle volume and function metrics with Conventional CINE vs Artificial-intelligence-assisted compressed sensing CINE in patients with cardiac amyloidosis (n = 31)
mean ± SD | Bland–Altman | Intraclass coefficient | ||||
C-CINE | AI-CS-CINE | Bias ± SD | LoA | r | 95%CI | |
LVEF (%) | 55.9 ± 13.2 | 57.0 ± 13.2 | -1.05 ± 4.56 | -10.00, 7.89 | 0.94 | 0.87, 0.97 |
LVEDVi (mL/m2) | 75.1 ± 21.1 | 72.0 ± 20.2 | 3.16 ± 7.07 | 10.70, 17.02 | 0.93 | 0.85, 0.97 |
LVESVi (mL/m2) | 34.8 ± 19.0 | 32.2 ± 17.2 | 2.55 ± 6.12 | -9.45, 14.55 | 0.93 | 0.86, 0.97 |
LVSVi (mL/m2) | 40.4 ± 10.2 | 39.8 ± 11.1 | 0.61 ± 4.52 | -8.26, 9.47 | 0.91 | 0.82, 0.95 |
LVMi (mL/m2) | 69.9 ± 29.0 | 70.4 ± 29.5 | -0.42 ± 5.81 | 11.81, 10.97 | 0.98 | 0.96, 0.99 |
Relative wall thickness | 0.5 ± 0.2 | 0.5 ± 0.2 | 0.00 ± 0.06 | -0.13, 0.12 | 0.96 | 0.91, 0.98 |
RVEF (%) | 48.9 ± 14.6 | 52.1 ± 13.0 | -3.14 ± 9.09 | 20.96, 14.68 | 0.76 | 0.56, 0.88 |
RVEDVi (mL/m2) | 70.8 ± 16.2 | 70.9 ± 15.1 | -0.02 ± 8.72 | 17.12, 17.07 | 0.84 | 0.70, 0.92 |
RVESVi (mL/m2) | 37.1 ± 16.5 | 34.5 ± 13.5 | 2.64 ± 7.65 | 12.36, 17.64 | 0.86 | 0.72, 0.93 |
RVSVi (mL/m2) | 33.7 ± 10.7 | 36.4 ± 10.5 | -2.66 ± 8.57 | 19.46, 14.13 | 0.65 | 0.40, 0.81 |
- Citation: Wang H, Schmieder A, Watkins M, Wang P, Mitchell J, Qamer SZ, Lanza G. Artificial intelligence-assisted compressed sensing CINE enhances the workflow of cardiac magnetic resonance in challenging patients. World J Cardiol 2025; 17(7): 108745
- URL: https://www.wjgnet.com/1949-8462/full/v17/i7/108745.htm
- DOI: https://dx.doi.org/10.4330/wjc.v17.i7.108745