Literature DB >> 29244972

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

P C B Khong1, M S W Yeo2, C C Goh3.   

Abstract

OBJECTIVE: This pilot study tested the reliability, validity and sensitivity of an innovative prototype iPad app, WoundAide, developed to measure wound dimension (length, width and surface area) using image analysis.
METHOD: A prospective evaluation was conducted comparing WoundAide (WA) with two gold standard instruments, Wound Zoom (WZ) and Visitrak (VT). The study was conducted in a tertiary hospital in Singapore. Patients were recruited after obtaining local ethics approval.
RESULTS: We recruited six patients with 10 venous wounds. Images were captured by two researchers. Generally, 7/10 (70%) of the wounds had surface areas of less than 16cm². The intraclass correlation coefficient was greater than 0.95 for length, width and surface area for all measuring devices. The mean differences for length, width and surface area were not statistically significant. The average percentage of coefficient of variation for WA ranged from 3% to 33.3%, WZ 1.3% to 19.3%, and VT 2.1% to 43.4%. Length, width and surface area fell within the 95% limit of agreement. The capturing sensitivity was, on average, 75% for WA, 99.4% for VT, and 100% for WZ.
CONCLUSION: 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.

Entities:  

Keywords:  measuring device; pilot study; reliability; system app; wound dimension; wound measurement

Mesh:

Year:  2017        PMID: 29244972     DOI: 10.12968/jowc.2017.26.12.752

Source DB:  PubMed          Journal:  J Wound Care        ISSN: 0969-0700            Impact factor:   2.072


  5 in total

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Authors:  Kai Siang Chan; Zhiwen Joseph Lo
Journal:  Int Wound J       Date:  2020-08-23       Impact factor: 3.315

2.  Wounds morphologic assessment: application and reproducibility of a virtual measuring system, pilot study.

Authors:  Giuseppe Guarro; Federico Cozzani; Matteo Rossini; Elena Bonati; Paolo Del Rio
Journal:  Acta Biomed       Date:  2021-11-03

3.  mHealth App for Pressure Ulcer Wound Assessment in Patients With Spinal Cord Injury: Clinical Validation Study.

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Journal:  JMIR Mhealth Uhealth       Date:  2021-02-23       Impact factor: 4.773

4.  Clinical validation of an artificial intelligence-enabled wound imaging mobile application in diabetic foot ulcers.

Authors:  Kai Siang Chan; Yam Meng Chan; Audrey Hui Min Tan; Shanying Liang; Yuan Teng Cho; Qiantai Hong; Enming Yong; Lester Rhan Chaen Chong; Li Zhang; Glenn Wei Leong Tan; Sadhana Chandrasekar; Zhiwen Joseph Lo
Journal:  Int Wound J       Date:  2021-05-04       Impact factor: 3.315

5.  Clinical validation of a machine-learning-based handheld 3-dimensional infrared wound imaging device in venous leg ulcers.

Authors:  Kai Siang Chan; Shanying Liang; Yuan Teng Cho; Yam Meng Chan; Audrey Hui Min Tan; Sivakami Muthuveerappa; Tina Peiting Lai; Cheng Cheng Goh; Annie Joseph; Qiantai Hong; Enming Yong; Li Zhang; Lester Rhan Chaen Chong; Glenn Wei Leong Tan; Sadhana Chandrasekar; Zhiwen Joseph Lo
Journal:  Int Wound J       Date:  2021-06-14       Impact factor: 3.315

  5 in total

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