Fully automated algorithm for wound surface area assessment.
Worldwide, clinicians, dentists, nurses, researchers, and other health professionals need to monitor the wound healing progress and to quantify the rate of wound closure. The aim of this study is to demonstrate, step by step, a fully automated numerical method to estimate the size of the wound and the percentage damaged relative to the body surface area (BSA) in images, without the requirement for human intervention. We included the formula for BSA in rats in the algorithm. The methodology was validated in experimental wounds and human ulcers and was compared with the analysis of an experienced pathologist, with good agreement. Therefore, this algorithm is suitable for experimental wounds and burns and human ulcers, as they have a high contrast with adjacent normal skin.
Postgraduate Program in Biophotonics Applied to Health Sciences, University Nove de Julho, São Paulo, São Paulo, Brazil.
Alessandro Melo
AM
Deana
Sérgio Henrique Costa
SH
de Jesus
Brunna Pileggi Azevedo
BP
Sampaio
Marcelo Tavares
MT
Oliveira
Daniela Fátima Teixeira
DF
Silva
Cristiane Miranda
CM
França
D000465:Algorithms; D000818:Animals; D001830:Body Surface Area; D002056:Burns / Q000473:pathology; D003116:Color; D004195:Disease Models, Animal; D008297:Male; D010781:Photography; D051381:Rats; D017208:Rats, Wistar; D013997:Time Factors; D014456:Ulcer / Q000473:pathology; D014945:Wound Healing; D014947:Wounds and Injuries / Q000473:pathology* / Q000503:physiopathology