A prospective randomized evaluation of scar assessment measures.
OBJECTIVE
To determine the efficacy of interventions to improve and monitor skin scarring, a valid assessment instrument must be used. Current tools used for the evaluation of skin scarring employ equal appearing interval (EAI) scales that assume scar dimensions conform to linear models. Some scar features meet these assumptions, whereas others may not be accurately described. This study determined if current methods of scar evaluation validly characterize inherent features of scars, and in doing so, empirically validate if specific scar dimensions were best represented by linear or nonlinear mathematical models.


METHODS
Prospective, randomized, cross-over trial.


METHODS
Twenty-seven observers evaluated 30 scar photos utilizing both EAI and direct magnitude estimation (DME) scaling methods. The method of scaling and the assessed dimensions of vascularity, pigmentation, thickness, pliability, and surface area were randomized. EAI and DME data were evaluated to identify whether each scar dimension conformed to linear or curvilinear mathematical models.


RESULTS
Best-fit analysis revealed the dimensions of vascularity and pigmentation to be more accurately described using curvilinear functions, whereas pliability, thickness and surface area were best defined using linear models.


CONCLUSIONS
The scar dimension under assessment must be considered when attempting to validly apply an assessment instrument. Several commonly evaluated dimensions of skin scarring are not appropriately characterized using linear EAI scales. Thus, present assessment instruments must be revised to account for this aberration to allow for a valid means of objectively evaluating skin scarring.
Brandt
Michael G
MG
Department of Otolaryngology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada.
Moore
Corey C
CC
Micomonaco
Damian
D
Fung
Kevin
K
Franklin
Jason H
JH
Yoo
John
J
Doyle
Philip C
PC
D000328:Adult; D002921:Cicatrix / Q000473:pathology*; D018592:Cross-Over Studies; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D015588:Observer Variation; D010781:Photography; D018583:Pliability; D011446:Prospective Studies; D012039:Regional Blood Flow; D015203:Reproducibility of Results; D012880:Skin Pigmentation