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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 3 Alignment of left ventricle and right ventricle volume and function metrics with conventional CINE vs artificial-intelligence-assisted compressed sensing CINE excluding outliers (n = 89)
mean ± SD | Bland–Altman | Intraclass coefficient | ||||
C-CINE | AI-CS-CINE | Bias ± SD | LoA | r | 95%CI | |
LVEF (%) | 56.2 ± 11.0 | 55.9 ± 11.1 | 0.28 ± 3.78 | -7.13, 7.69 | 0.94 | 0.91, 0.96 |
LVEDVi (mL/m2) | 75.9 ± 19.0 | 73.3 ± 19.0 | 2.63 ± 5.30 | -7.76, 13.01 | 0.95 | 0.93, 0.97 |
LVESVi (mL/m2) | 34.4 ± 16.0 | 33.4 ± 15.7 | 1.02 ± 3.35 | -5.55, 7.59 | 0.98 | 0.96, 0.98 |
LVSVi (mL/m2) | 41.5 ± 9.3 | 39.9 ± 9.6 | 1.61 ± 4.21 | -6.63, 9.85 | 0.89 | 0.83, 0.92 |
LVMi (mL/m2) | 58.4 ± 20.3 | 59.3 ± 20.6 | 0.91 ± 4.14 | -9.01, 7.20 | 0.98 | 0.97, 0.99 |
Relative wall thickness | 0.4 ± 0.2 | 0.4 ± 0.2 | 0.00 ± 0.05 | -0.10, 0.10 | 0.95 | 0.93, 0.97 |
RVEF (%) | 50.8 ± 10.0 | 51.5 ± 10.3 | 0.66 ± 7.32 | -15.01, 13.69 | 0.73 | 0.62, 0.82 |
RVEDVi (mL/m2) | 71.0 ± 14.8 | 69.3 ± 14.7 | 1.74 ± 6.60 | -11.21, 14.68 | 0.89 | 0.84, 0.93 |
RVESVi (mL/m2) | 35.1 ± 11.0 | 33.6 ± 10.4 | 1.51 ± 5.28 | -8.84, 11.87 | 0.87 | 0.81, 0.91 |
RVSVi (mL/m2) | 35.9 ± 9.7 | 35.7 ± 10.5 | 0.22 ± 7.12 | -13.74, 14.18 | 0.75 | 0.64, 0.83 |
- 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