Table 1.
Comparison of inflammatory parameters between inflamed and non-inflamed patients. ADC75, ADC90, etc. refer to the 75th and 90th percentiles of ADC measurements in the defined ROI. Estimates from each group are displayed as mean (95% CI). Odds ratio (OR) and p values (*) were derived from logistic regression. The highest ROC AUC value for the evaluation of inflammation is shown in italics. Sensitivity and specificity values for the optimal cutoff values (far right) are provided in the main “Results” section. The right-hand p values (**) relate to the comparison of ROC AUC with the median value
| Inflammation | |||||||
|---|---|---|---|---|---|---|---|
| Present (n = 15) | Absent (n = 38) | OR (95% CI) | *p= | ROC AUC (95% CI) | Optimal cutoff | **p= | |
| ADCmean | 758 (629–887) | 578 (535–621) | 1.006 (1.001–1.011) | 0.011 | 0.709 (0.530–0.888) | – | 0.249 |
| ADCmedian | 747 (621–872) | 577 (534–620) | 1.006 (1.001–1.011) | 0.016 | 0.695 (0.512–0.877) | – | – |
| ADC75 | 964 (813–1115) | 733 (695–770) | 1.008 (1.002–1.014) | 0.011 | 0.763 (0.602–0.924) | – | 0.073 |
| ADC90 | 1172 (1007–1337) | 882 (842–921) | 1.010 (1.002–1.017) | 0.007 | 0.819 (0.676–0.962) | 986 | 0.072 |
| PDFFmean | 42.3 (37.2–47.4) % | 43.9 (40.0–47.8) % | 0.988 (0.934–1.041) | 0.650 | 0.505 (0.329–0.682) | – | 0.640 |
| PDFFmedian | 42.6 (37.8–47.6) % | 44.3 (40.2–48.4) % | 0.988 (0.937–1.040) | 0.639 | 0.514 (0.337–0.691) | – | – |
| PDFF25 | 32.8 (27.5–38.1) % | 37.1 (33.4–40.8) % | 0.964 (0.910–1.021) | 0.215 | 0.589 (0.414–0.763) | – | 0.010 |
| PDFF10 | 23.5 (17.8–29.2) % | 30.3 (26.6–34.0) % | 0.948 (0.895–1.004) | 0.067 | 0.657 (0.485–0.829) | – | 0.001 |