Open AccessQuality of measurements of acute surgical and traumatic wounds using a digital wound‐analysing tool
Author(s) -
Landa Dymmie LC,
van Dishoeck AnneMargreet,
Steyerberg Ewout W,
Hovius Steven ER
Publication year - 2016
Publication title -
international wound journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.867
H-Index - 63
eISSN - 1742-481X
pISSN - 1742-4801
DOI - 10.1111/iwj.12330
Subject(s) - intraclass correlation , medicine , granulation tissue , reliability (semiconductor) , wound healing , necrosis , biomedical engineering , interpretability , surgery , pathology , artificial intelligence , computer science , clinical psychology , power (physics) , physics , quantum mechanics , psychometrics
The aim of this study was to assess the reliability of measurements using a wound‐analysing tool and their interpretability. Wound surface areas and tissue types, such as granulation, slough and necrosis, in twenty digital photographs were measured using a specific software program. The ratio of these tissue types in a wound was calculated using a wound profile. We calculated the intraclass coefficient or κ for reliability, standard error of measurement (SEM) and smallest detectable change (SDC). The inter‐rater reliability intraclass correlation coefficient (ICC) was 0·99 for surface area, 0·76 for granulation, 0·67 for slough and 0·22 for necrosis. The profiles gave an overall κ of 0·16. For test–retest reliability, the ICC was 0·99 for surface area, 0·81 for granulation, 0·80 for slough and 0·97 for necrosis. The agreement of the applied profiles in the test–retest was 66% (40–100). SEM and SDC for surface area were 0·10/0·27; for granulation, 6·88/19·08; for slough, 7·17/19·87; and for necrosis, 0·35/0·98, respectively. Measuring wound surface area and tissue types by means of digital photo analysis is a reliable and applicable method for monitoring wound healing in acute wounds in daily practice as well as in research.