Fixation of pelvic acetabular fractures using 3D-printed fracture plates: a cadaver study

Table 3 Stepwise multiple linear regression results describing the dependencies of the bone fragment translation and rotational errors

Outcome variable	Step	Included predictor variable	R²	B	β	p-value	Excluded predictor variables (corresponding p-value)
T_bone	1	Constant	0.821	1.462		0.042	RMS_{plate_all} (0.644)
		N_frag		0.275	0.906	0.013	RMS _{plate_bone} (0.830)
							T _plate (0.748)
							R_plate (0.268)
							θ_screw (0.767)
R_bone	1	Constant	0.792	2.732		0.085	N _frag (0.975)
		T_plate		0.663	0.890	0.018	RMS_{plate_all} (0.623)
							RMS_{plate_bone} (0.638)
							R_plate (0.253)
							θ_screw (0.790)
RMS_acet	1	Constant	0.748	1.372		0.007	RMS_{plate_all} (0.397)
		N_frag		0.120	0.865	0.026	RMS_{plate_bone} (0.429)
							T_plate (0.477)
							R_plate (0.484)
							θ_screw (0.732)

R Pearson’s correlation coefficient; B B-coefficient representing regression slope between predictor and outcome variable; β standardised beta-coefficient; RMS_{plate_all} root-mean-squared printing error of all plate surfaces; RMS_{plate_bone} root-mean-squared printing error of plate surface contacting bone; T_plate translation resultant for plate misalignment; R_plate rotation resultant angle for plate misalignment; θ_screw screw angulation error; N_frag total number of bone fragments; T_bone translation resultant for bone fragment misalignment; R_bone rotation resultant angle for bone fragment misalignment; RMS_acet root-mean-squared deviation between pre- and post-operative acetabular surfaces

ISSN: 1749-799X