Table 4: Univariable logistic regression model results.
Variable | N used | OR [95% CI] | p-value |
---|---|---|---|
ROI-Max Kurtosis Mean1 | 45 | 0.931 [0.780 – 1.112] | 0.43 |
ROI-Max Kurtosis Median1 | 45 | 0.917 [0.749 – 1.123] | 0.40 |
ROI-Max D Mean2 | 45 | 1.253 [1.051 – 1.494] | 0.012 |
ROI-Max D Median2 | 45 | 1.102 [0.989 – 1.228] | 0.08 |
ROI-Max Volume (cubic cm) | 45 | 1.091 [0.897 – 1.327] | 0.39 |
VOI Kurtosis Mean1 | 45 | 0.963 [0.786 – 1.179] | 0.72 |
VOI Kurtosis Median1 | 45 | 0.980 [0.827 – 1.161] | 0.82 |
VOI D Mean2 | 45 | 1.231 [1.042 – 1.454] | 0.014 |
VOI D Median2 | 45 | 1.147 [1.006 – 1.307] | 0.041 |
VOI Volume (cubic cm) | 45 | 1.025 [0.993 – 1.058] | 0.12 |
Note that the increment unit for OR estimation is 0.1 for all kurtosis summary variables.
Note that the increment unit for OR estimation is 0.0001 for all diffusion summary variables.