Table 4.

The $p$ values indicating whether the addition of a particular feature significantly improved classification ability over using the MRD alone. Features that were considered significantly associated with RP did not change when the V20 or MLD was used in the regression instead of the MRD. Each regression model was trained using averages in changes in feature values over all ROIs for each patient ($M_{\mathrm{Avg}}$).

Feature	A1	IBEX	Pyradiomics
Mean	$p<0.002$	$p<0.002$	$p<0.002$
Min	0.593	0.133	0.593
Median	$p<0.002$	$p<0.002$	$p<0.002$
Entropy	$p<0.002$	$p<0.002$	$p<0.002$
GLCM sum average	$p<0.002$	$p<0.002$	$p<0.002$
GLCM sum entropy	$p<0.002$	$p<0.002$	$p<0.002$
GLCM difference entropy	0.008	0.010	$p<0.002$
GLCM entropy	0.222	0.947	$p<0.002$