Evaluating an iPad app in measuring wound dimension: a pilot study

Khong, Peck Chui Betty; Yeo, Matthew Sze‐Wei; Goh, Cheng Cheng

doi:10.12968/jowc.2017.26.12.752

Cited by 14 publications

(12 citation statements)

References 26 publications

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“…SilhouetteMobile was the only product which was described in our systematic review, including articles by Foltynski et al and Rogers et al 19,22 The use of the remaining five products described in peer‐reviewed literature was on general wound measurement without the inclusion of diabetic foot ulcers and were hence excluded from this systematic review. The relevant articles on measurement accuracy of the products, are however, referenced and listed in Table 3 28‐34 …”

Section: Resultsmentioning

confidence: 99%

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Wound assessment, imaging and monitoring systems in diabetic foot ulcers: A systematic review

Chan

2020

International Wound Journal

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Patients with diabetes mellitus have a lifetime risk of 15% to 25% of developing diabetic foot ulcers (DFUs). DFU is associated with significant morbidity and mortality. Wound imaging systems are useful adjuncts in monitoring of wound progress. Our study aims to review existing literature on the available wound assessment and monitoring systems for DFU. This is a systematic review of articles from PubMed and Embase (1974 – March 2020). All studies related to wound assessment or monitoring systems in DFUs were included. Articles on other types of wounds, review articles, and non‐English texts were excluded. Outcomes include clinical use, wound measurement statistics, hospital system integration, and other advantages and challenges. The search identified 531 articles. Seventeen full‐text studies were eligible for the final analysis. Five modalities were identified: (a) computer applications or hand‐held devices (n = 5), (b) mobile applications (n = 2), (c) optical imaging (n = 2), (d) spectroscopy or hyperspectral imaging (n = 4), and (e) artificial intelligence (n = 4). Most studies (n = 16) reported on wound assessment or monitoring. Only one study reported on data capturing. Two studies on the use of computer applications reported low inter‐observer variability in wound measurement (inter‐rater reliability >0.99, and inter‐observer variability 15.9% respectively). Hand‐held commercial devices demonstrated high accuracy (relative error of 2.1%‐6.8%). Use of spectroscopy or hyperspectral imaging in prediction of wound healing has a sensitivity and specificity of 80% to 90% and 74%to 86%, respectively. Majority of the commercially available wound assessment systems have not been reviewed in the literature on measurement accuracy. In conclusion, most imaging systems are superior to traditional wound assessment. Wound imaging systems should be used as adjuncts in DFU monitoring.

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Section: Resultsmentioning

confidence: 99%

“…The relevant articles on measurement accuracy of the products, are however, referenced and listed in Table 3. [28][29][30][31][32][33][34]…”

Section: Wound Assessment and Monitoring Systems Available Commercimentioning

confidence: 99%

Wound assessment, imaging and monitoring systems in diabetic foot ulcers: A systematic review

Chan

2020

International Wound Journal

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“…Now that we understand that patients desire objective data from MyFootCare to monitor DFU progress, our future research will focus on iteratively evaluating and improving the accuracy of the app. Evaluations will be performed by comparing MyFootCare measurements with measurements performed by clinicians using ruler measurements [14], wound tracings [16], or gold standard digital wound imaging instruments [48,49]. Accuracy will be improved by working with patients to assist them in controlling factors such as light, distance, and angle of the foot during image capture.…”

Section: Discussionmentioning

confidence: 99%

Promoting Self-Care of Diabetic Foot Ulcers Through a Mobile Phone App: User-Centered Design and Evaluation

et al. 2018

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BackgroundWithout effective self-care, people with diabetic foot ulcers (DFUs) are at risk of prolonged healing times, hospitalization, amputation, and reduced quality of life. Despite these consequences, adherence to DFU self-care remains low. New strategies are needed to engage people in the self-care of their DFUs.ObjectiveThis study aimed to evaluate the usability and potential usefulness of a new mobile phone app to engage people with DFUs in self-care.MethodsWe developed a new mobile phone app, MyFootCare, to engage people with DFUs through goals, progress monitoring, and reminders in self-care. Key features included novel visual analytics that automatically extract and monitor DFU size information from mobile phone photos of the foot. A functional prototype of MyFootCare was created and evaluated through a user-centered design process with 11 participants with DFUs. Data were collected through semistructured interviews discussing existing self-care practices and observations of MyFootCare with participants. Data were analyzed qualitatively through thematic analysis.ResultsKey themes were as follows: (1) participants already used mobile phone photos to monitor their DFU progress; (2) participants had limited experience with using mobile phone apps; (3) participants desired the objective DFU size data provided by the tracking feature of MyFootCare to monitor their DFU progress; (4) participants were ambivalent about the MyFootCare goal image and diary features, commenting that these features were useful but also that it was unlikely that they would use them; and (5) participants desired to share their MyFootCare data with their clinicians to demonstrate engagement in self-care and to reflect on their progress.ConclusionsMyFootCare shows promising features to engage people in DFU self-care. Most notably, ulcer size data are useful to monitor progress and engage people. However, more work is needed to improve the usability and accuracy of MyFootCare, that is, by refining the process of taking and analyzing photos of DFUs and removing unnecessary features. These findings open the door for further work to develop a system that is easy to use and functions in everyday life conditions and to test it with people with DFUs and their carers.

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“…The model is likely readily applicable to other animal models of excisional dermal healing (e.g., pig). Photographic quantitation of human wounds in the clinic has also been reported . In principle, therefore, the model is applicable to the analysis of human excisional wound healing photographic data.…”

Section: Discussionmentioning

confidence: 99%

“…Photographic quantitation of human wounds in the clinic has also been reported. [37][38][39] In principle, therefore, the model is applicable to the analysis of human excisional wound healing photographic data.…”

Section: Broader Applicability Of the Modelmentioning

confidence: 99%

A mathematical model for the determination of mouse excisional wound healing parameters from photographic data

Cogan

Mellers

Patel

et al. 2018

Wound Repair Regeneration

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We present a mathematical model to quantify parameters of mouse excisional wound healing from photographic data. The equation is a piecewise linear function in log scale that includes key parameters of initial wound radius (R ), an initial wound stasis phase (T ), and time to wound closure (T ); subsequently, these terms permit calculation of a latter active proliferative phase (T ), and the healing rate (HR) during this active phase. A daily photographic record of wound healing (utilizing 6 mm diameter splinted excisional wounds) permits the necessary sampling for robust parameter refinement. When implemented with an automated nonlinear fitting routine, the healing parameters are determined in an operator-independent (i.e., unbiased) manner. The model was evaluated using photographic data from a splinted excisional surgical procedure involving several different mouse cohorts. Model fitting demonstrates excellent coefficients of determination (R ) in each case. The model, thus, permits quantitation of key parameters of excisional wound healing, from initial wounding through to wound closure, from photographic data.

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Evaluating an iPad app in measuring wound dimension: a pilot study

Abstract: WA has similar reliability and validity as WZ and VT. However, WA has the least sensitivity in image captures. Nonetheless, with enhancements made to its user-interface and system algorithm, this limitation can be addressed.

Cited by 14 publications

References 26 publications

Wound assessment, imaging and monitoring systems in diabetic foot ulcers: A systematic review

Wound assessment, imaging and monitoring systems in diabetic foot ulcers: A systematic review

Promoting Self-Care of Diabetic Foot Ulcers Through a Mobile Phone App: User-Centered Design and Evaluation

A mathematical model for the determination of mouse excisional wound healing parameters from photographic data

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