Table 3. Quantification results of EAT with 2 methods.
EAT parameters | DL model | Manual | Correlation coefficient | 95% CI | P value |
---|---|---|---|---|---|
EAT density (HU) | |||||
Internal validation | −86.82±5.36 | −86.26±5.04 | 0.99 | 0.98–1.00 | <0.001 |
Internal test | −85.18±3.70 | −84.68±3.59 | 0.97 | 0.92–0.99 | <0.001 |
External test | −85.24±6.63 | −86.81±6.09 | 0.99 | 0.99–1.00 | <0.001 |
EAT volume (cm3) | |||||
Internal validation | 136.07±64.44 | 139.44±67.03 | 1 | 0.98–1.00 | <0.001 |
Internal test | 137.15±35.26 | 141.15±34.78 | 0.98 | 0.94–0.99 | <0.001 |
External test | 123.13±47.57 | 118.53±45.92 | 0.99 | 0.98–1.00 | <0.001 |
Data are presented as the mean ± SD. EAT, epicardial adipose tissue; DL, deep learning; CI, confidence interval; HU, Hounsfield unit; SD, standard deviation.