Table 10 Average global ventricular measurements for manually and automatically generated shape models in the test set as well as differences and correlations
From: A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot
Measure | Manual Cases | Automated Cases | Difference (%) | R2 | p-value |
|---|---|---|---|---|---|
LV EDV (mL) | 119 ± 36 | 114 ± 37 | − 5 ± 10 (− 4) | 0.93 |  < 0.05 |
LV ESV (mL) | 62 ± 24 | 64 ± 23 | 2 ± 9 (3) | 0.85 | 0.26 |
LV SV (mL) | 57 ± 16 | 50 ± 18 | − 7 ± 8 (− 12) | 0.82 |  < 0.01 |
LV EF (%) | 48 ± 7 | 44 ± 7 | − 5 ± 6 (− 9) | 0.45 |  < 0.01 |
LV Mass (g) | 111 ± 33 | 118 ± 37 | 8 ± 12 (7) | 0.89 |  < 0.01 |
RV EDV (mL) | 197 ± 51 | 191 ± 54 | − 6 ± 17 (− 3) | 0.90 | 0.07 |
RV ESV (mL) | 121 ± 37 | 114 ± 36 | − 7 ± 13 (− 6) | 0.88 |  < 0.01 |
RV SV (mL) | 76 ± 23 | 77 ± 29 | 1 ± 15 (1) | 0.76 | 0.67 |
RV EF (%) | 39 ± 7 | 40 ± 10 | 1 ± 7 (3) | 0.55 | 0.39 |
RV Mass (g) | 53 ± 24 | 54 ± 25 | 0 ± 7 (0.4) | 0.93 | 0.83 |