Table 2.

Candidate trismus predictors from univariate logistic regression analyses stratified between cases and controls, the related discriminative ability (AUC) and p-values, as well as the logistic regression coefficients for the intercept (B0), and candidate predictor (B1).

Muscle	Candidate predictor	Cases	Controls	AUC	P	B0/B1
Lateral Pterygoid	Dmean [Gy]*	55 (35, 72)	48 (24, 59)	0.76±0.11	0.14±0.19	−4.3/0.09
Masseter	Dmean [Gy]	42 (31, 55)	31 (23, 43)	0.85±0.09	0.03±0.07	−8.2/0.22
	Haralick Correlation GLCM	−1.5 (−4.8, −0.4)	−3.0 (−7.3, −0.4)	0.72 (0.12)	0.14 (0.20)	1.5/0.63
	Root Mean Square Histogram	−0.1 (−0.6, 0.2)	0.0 (−0.2, 0.6)	0.71 (0.11)	0.19 (0.23)	0.22/−4.3
	Sum Average GLCM**	−0.3 (−0.9, 0.0)	−0.5 (−0.8, 0.0)	0.70 (0.12)	0.19 (0.24)	1.3/3.5
Medial Pterygoid	Dmean [Gy]	67 (58, 78)	58 (45, 69)	0.77±0.11	0.09±0.14	−10/0.16
	Haralick Correlation GLCM	−1.3 (−4.4, −0.8)	−2.6 (−5.4, −1.2)	0.78 (0.12)	0.12 (0.20)	2.1/0.92
Temporalis	Skewness Histogram	1.1 (−2.8, 1.7)	1.3 (0.2, 6.5)	0.68 (0.12)	0.17 (0.21)	0.96/−0.82

Note: Dmean and textures are given as the median (range), and AUC and p-values as the mean±SD across all Bootstrap samples, while B0 and B1 are the regression coefficients without Bootstrapping applied. Not considered a final candidate predictor due to being highly correlated with *Dmean of the masseter, and the medial pterygoid (|Rs|=0.78, 0.79), and ** the Haralick Correlation GLCM of the masseter (|Rs|=0.91).