Table 4.

Multivariate General Linear Model for Predicting the Esthetic Result by Correlating between Types of Surgery and Wolf’s Classification

Parameter	Estimate	P
Intercept	4.288	<0.0001
[Classification I] * [periareolar]	0.087	0.792
[Classification IIa] * [periareolar]	−0.788	0.216
[Classification IIa] * [NAC flap]	0.312	0.299
[Classification IIa] * [NAC graft]	0.337	0.310
[Classification IIb] * [periareolar]	−1.788	<0.0001
[Classification IIb] * [NAC flap]	−0.17	0.919
[Classification IIb] * [NAC graft]	0.186	0.303
[Classification III] * [periareolar]	−3.205	<0.0001
[Classification III] * [NAC flap]	−0.510	0.032
[Classification III] * [NAC graft]	0

Values in boldface indicate the statistically significant (P < 0.05) results.

Adjusted R² = 0.618. Dependent variable: aesthetic score. NAC: nipple–areola complex. The model’s equation is: Dependent variable: aesthetic score = 4.288+ (−3.205*periareolar) OR (−0.510*NAC flap) + (3.292*classification I) OR (0.280* periareolar* classification IIa) OR (1.231* periareolar* classification IIb).