Table 3: Univariable proportional odds (i.e. Cumulative Logit) regression model results.
Variable | N used | OR [95% CI]1 | p-value |
---|---|---|---|
ROI-Max Kurtosis Mean2 | 45 | 0.908 [0.779 – 1.058] | 0.22 |
ROI-Max Kurtosis Median2 | 45 | 0.904 [0.759 – 1.078] | 0.26 |
ROI-Max D Mean3 | 45 | 1.240 [1.084 – 1.417] | 0.002 |
ROI-Max D Median3 | 45 | 1.127 [1.025 – 1.239] | 0.014 |
ROI-Max Volume (cubic cm) | 45 | 1.048 [0.885 – 1.243] | 0.59 |
VOI Kurtosis Mean2 | 45 | 0.916 [0.768 – 1.093] | 0.33 |
VOI Kurtosis Median2 | 45 | 0.942 [0.812 – 1.091] | 0.42 |
VOI D Mean3 | 45 | 1.256 [1.090 – 1.446] | 0.002 |
VOI D Median3 | 45 | 1.184 [1.055 – 1.329] | 0.004 |
VOI Volume (cubic cm) | 45 | 1.012 [0.985 – 1.039] | 0.39 |
Note that OR represents the odds ratio of being in one or more favorable TRG group(s) versus being in the rest (less favorable TRG group(s)) associated with a single unit increment in the variable.
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.