3-D wound scanner: A novel, effective, reliable, and convenient tool for measuring scar area

Abstract

This study aimed to investigate whether a three-dimensional (3-D) wound scanner could be used to measure the area of scars. Scar models were constructed using flesh-colored, brown-colored (simulating hyperpigmented scars), orange-colored (simulating scars with obvious vascularization), and white-colored (simulating hypopigmented scars) plastic. Each colored plastic was used to construct scar models with regular and irregular base surfaces (four each). Two human models were selected to simulate patients with scars, and the scar models were placed on the right cheek, right lower jaw-neck, right ulnar forearm, anterior tibial region of the right calf, and at the back of these human models for scar area measurement. Two experimenters separately measured the scar area vertically using the profile method, pixel method, and 3-D wound scanner. Each experimenter measured the scar area thrice. Regarding accuracy, we found significant differences between the data and standard value of various measurement methods (P<0.05); however, the ratio of the data and standard value using the 3-D wound scanner was 0.982, which was the closest to 1, and showed the lowest coefficient of variation. Regarding correlation, Spearman’s coefficient using the 3-D wound scanner was 0.992, showing the strongest correlation. With respect to inter-experimenter reliability and stability of retesting, each Cronbach’s coefficient of the 3-D wound scanner between the two experimenters was >0.90, showing high reliability; thus, fulfilling the requirements for clinical measurement. The 3-D wound scanner took an average time of 38.87±3.45s for measurement, which was significantly shorter compared that for other methods The 3-D wound scanner showed greater accuracy and correlation, and a shorter measurement time, compared with other measurement methods The inter-experimenter reliability and retesting stability of the 3-D wound scanner also fulfilled the requirements for clinical measurement.