Table 5.

Logistic regression results for each partial regression coefficient before and after the addition of density and hormonal variables to the multivariable texture feature models. The p-values are shown for the Wald test for each partial regression coefficient and for overall model significance.

		Texture Only		Texture + Density		Texture + Density + Hormonal Factors
		Reg. Co.	p-val	Reg. Co.	p-val	Reg. Co.	p-val.
Cancer-Free Population	Model Constant	20	0.15	20	0.19	23	0.13
	Coarseness	920	0.65	1400	0.50	1600	0.48
	Contrast	−0.01	0.28	−0.01	0.17	−0.01	0.14
	Gray level Correlation	−15	0.18	−8.35	0.51	−11	0.40
	Energy	−5700	0.73	4200	0.98	−2100	0.91
	Homogeneity	−76	0.27	−98	0.18	−100	0.17
	Fractal Dimension	3.30	<0.01	2.68	0.04	2.60	0.04
	Skewness	0.48	0.15	0.18	0.60	0.19	0.59
	MD (%)			−0.05	<0.01	−0.05	<0.01
	Age at Menarche					0.01	0.92
	Estrogen therapy					0.90	0.49
	Contraceptive use					0.49	0.71
	Ethnicity					0.02	0.49
	Parity/Age First Birth					0.45	0.104
	Model p-value	0.017		<0.001		<0.001
Cancer-Affected Population	Model Constant	39	0.01	37	0.02	44	0.01
	Coarseness	3200	0.15	2500	0.27	330	0.17
	Contrast	−0.01	<0.01	−0.01	0.04	−0.01	0.04
	Gray level Correlation	−24	0.12	−24	0.15	−29	0.11
	Energy	10000	0.12	10000	0.17	9400	0.21
	Homogeneity	−95	<0.01	−65	0.04	−78	0.03
	Fractal Dimension	−0.62	0.61	−1.01	0.43	−1.20	0.38
	Skewness	0.99	0.02	0.56	0.19	0.56	0.22
	MD (%)			−0.04	<0.01	−0.03	<0.01
	Age at Menarche					0.04	0.79
	Estrogen therapy					−1.00	0.48
	Contraceptive use					−1.60	0.178
	Ethnicity					0.07	0.433
	Parity/Age at First Birth					−0.46	0.142
	Model p-value	<0.001		<0.001		<0.001

MD: Mammographic Density, Reg Co: regression coefficient, p-val: p-value