Yap Moi Hoon, Chatwin Katie E, Ng Choon-Ching, Abbott Caroline A, Bowling Frank L, Rajbhandari Satyan, Boulton Andrew J M, Reeves Neil D
1 School of Computing, Mathematics and Digital Technology, Faculty of Science & Engineering, Manchester Metropolitan University, Manchester, UK.
2 School of Healthcare Science, Faculty of Science & Engineering, Manchester Metropolitan University, Manchester, UK.
J Diabetes Sci Technol. 2018 Jan;12(1):169-173. doi: 10.1177/1932296817713761. Epub 2017 Jun 21.
We describe the development of a new mobile app called "FootSnap," to standardize photographs of diabetic feet and test its reliability on different occasions and between different operators.
FootSnap was developed by a multidisciplinary team for use with the iPad. The plantar surface of 30 diabetic feet and 30 nondiabetic control feet were imaged using FootSnap on two separate occasions by two different operators. Reproducibility of foot images was determined using the Jaccard similarity index (JSI).
High intra- and interoperator reliability was demonstrated with JSI values of 0.89-0.91 for diabetic feet and 0.93-0.94 for control feet.
Similarly high reliability between groups indicates FootSnap is appropriate for longitudinal follow-ups in diabetic feet, with potential for monitoring pathology.
我们描述了一款名为“FootSnap”的新型移动应用程序的开发过程，该应用程序用于规范糖尿病足的照片，并测试其在不同场合以及不同操作人员之间的可靠性。
FootSnap由一个多学科团队开发，用于iPad。30只糖尿病足和30只非糖尿病对照足的足底表面由两名不同的操作人员在两个不同的时间使用FootSnap进行成像。使用杰卡德相似性指数（JSI）确定足部图像的可重复性。
糖尿病足的JSI值为0.89 - 0.91，对照足的JSI值为0.93 - 0.94，证明了操作人员内部和操作人员之间具有较高的可靠性。
两组之间同样高的可靠性表明FootSnap适用于糖尿病足的纵向随访，具有监测病情的潜力。
