Department of Endocrinology, Odense University Hospital and Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
OPEN, Odense Patient Data Explorative Network, Odense University Hospital, Denmark.
Wound Repair Regen. 2018 Nov;26(6):456-462. doi: 10.1111/wrr.12664. Epub 2018 Nov 1.
To monitor wound healing, it is essential to obtain accurate and reliable wound measurements. Various methods have been used to measure wound size including three-dimensional (3D) measurement devices enabling wound assessment from a volume perspective. However, the currently available methods are inaccurate, costly, or complicated to use. As a consequence, we have developed a 3D-wound assessment monitor (WAM) camera, which is able to measure wound size in three-dimension and to assess wound characteristics. The aim of the study was to assess the intrarater and interrater reliability of the 3D wound measurements using the 3D camera and to compare these with traditional measurement methods. Four raters measured 48 wounds using the 3D camera, digital imaging method (2D area), and gel injection into the wound cavity (volume). The data were analyzed using linear mixed effect model. Intraclass and interclass correlation coefficient (ICC) and Bland-Altman plots were used to assess intrarater and interrater reliability for the 3D camera and agreement between the methods. The Bland-Altman plots for intrarater reliability showed minor differences between the measurements, especially the 3D area and perimeter measurements. Moreover, ICCs were very high for both the intrarater and interrater reliability for the 2D area, 3D area, and perimeter measurements (ICCs > 0.99), although slightly lower for the volume measurements (ICC = 0.946-0.950). Finally, a high agreement was found between the 3D camera and the traditional methods (2D area and volume) assessed by narrow 95% prediction intervals and high ICCs above 0.97. In conclusion, the 3D-WAM camera is an accurate and reliable method, which is useful for several types of wounds. However, the volume measurements were primarily useful in large, deep wounds. Moreover, the 3D images are based on digital technology and therefore carry the possibility for use in remote settings.
为了监测伤口愈合情况，获得准确可靠的伤口测量数据至关重要。目前已经有多种方法用于测量伤口大小，包括能够从体积角度评估伤口的三维（3D）测量设备。然而，目前可用的方法存在不准确、成本高或使用复杂等问题。因此，我们开发了一种 3D 伤口评估监测器（WAM）相机，它能够在三维空间中测量伤口大小，并评估伤口特征。本研究旨在评估使用 3D 相机进行 3D 伤口测量的组内和组间可靠性，并将其与传统测量方法进行比较。四名评估者使用 3D 相机、数字成像法（2D 面积）和向伤口腔体内注入凝胶（体积）的方法对 48 个伤口进行了测量。使用线性混合效应模型对数据进行分析。使用组内和组间相关系数（ICC）和 Bland-Altman 图评估 3D 相机的组内和组间可靠性，以及方法之间的一致性。Bland-Altman 图显示，3D 相机测量值的组内差异较小，尤其是 3D 面积和周长测量值。此外，2D 面积、3D 面积和周长测量值的组内和组间可靠性 ICC 非常高（ICC > 0.99），而体积测量值的 ICC 略低（ICC = 0.946-0.950）。最后，通过狭窄的 95%预测区间和高于 0.97 的高 ICC，发现 3D 相机与传统方法（2D 面积和体积）之间具有高度一致性。总之，3D-WAM 相机是一种准确可靠的方法，可用于多种类型的伤口。然而，体积测量值主要适用于较大、较深的伤口。此外，3D 图像基于数字技术，因此有可能在远程环境中使用。
