Literature DB >> 33657252

Assessment of a smartphone-based application for diabetic foot ulcer measurement.

Beatrice Kuang1,2, Guilherme Pena1,2, Zygmunt Szpak3, Suzanne Edwards4, Ruth Battersby1,2, Prue Cowled1,5, Joseph Dawson1,2, Robert Fitridge1,2,5.   

Abstract

The accurate measurement of diabetic foot ulcer (DFU) wound size is essential as the rate of wound healing is a significant prognostic indicator of the likelihood of complete wound healing. Mobile phone photography is often used for surveillance and to aid in telemedicine consultations. However, there remains no accurate and objective measurement of wound size integrated into these photos. The NDKare mobile phone application has been developed to address this need and our study evaluates its accuracy and practicality for DFU wound size assessment. The NDKare mobile phone application was evaluated for its accuracy in two- (2D) and three-dimensional (3D) wound measurement. One hundred and fifteen diabetic foot wounds were assessed for wound surface area, depth and volume accuracy in comparison to Visitrak and the WoundVue camera. Thirty five wounds had two assessors with different mobiles phones utilizing both applications to assess the reproducibility of the measurements. The 2D surface area measurements by NDKare showed excellent concordance with Visitrak and WoundVue measurements (ICC: 0.991 [95% CI: 0.988, 0.993]) and between different users (ICC: 0.98 [95% CI: 0.96, 0.99)]. The 3D NDKare measurements had good agreement for depth and fair agreement for volume with the WoundVue camera. The NDKare phone application can consistently and accurately obtain 2D measurements of diabetic foot wounds with mobile phone photography. This is a quick and readily accessible tool which can be integrated into comprehensive diabetic wound care.
© 2021 The Wound Healing Society.

Entities:  

Keywords:  chronic wounds; devices; diabetes

Mesh:

Year:  2021        PMID: 33657252     DOI: 10.1111/wrr.12905

Source DB:  PubMed          Journal:  Wound Repair Regen        ISSN: 1067-1927            Impact factor:   3.617


  1 in total

1.  Reshaping wound care: Evaluation of an artificial intelligence app to improve wound assessment and management amid the COVID-19 pandemic.

Authors:  Michelle Barakat-Johnson; Aaron Jones; Mitch Burger; Thomas Leong; Astrid Frotjold; Sue Randall; Bora Kim; Judith Fethney; Fiona Coyer
Journal:  Int Wound J       Date:  2022-02-25       Impact factor: 3.099

  1 in total

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