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Clinical validation of a smartphone application for automated wound measurement in patients with venous leg ulcers

Chronic wounds are associated with significant clinical, economic and quality‐of‐life burden. Despite the variety of wound imaging systems available in the market for wound assessment and surveillance, few are clinically validated among patients of Asian ethnicity. We aimed to clinically validate th...

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Autores principales: Fong, Khi Yung, Lai, Tina Peiting, Chan, Kai Siang, See, Isabel Jia Le, Goh, Cheng Cheng, Muthuveerappa, Sivakami, Tan, Audrey Huimin, Liang, Shanying, Lo, Zhiwen Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9927911/
https://www.ncbi.nlm.nih.gov/pubmed/36787270
http://dx.doi.org/10.1111/iwj.13918
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author Fong, Khi Yung
Lai, Tina Peiting
Chan, Kai Siang
See, Isabel Jia Le
Goh, Cheng Cheng
Muthuveerappa, Sivakami
Tan, Audrey Huimin
Liang, Shanying
Lo, Zhiwen Joseph
author_facet Fong, Khi Yung
Lai, Tina Peiting
Chan, Kai Siang
See, Isabel Jia Le
Goh, Cheng Cheng
Muthuveerappa, Sivakami
Tan, Audrey Huimin
Liang, Shanying
Lo, Zhiwen Joseph
author_sort Fong, Khi Yung
collection PubMed
description Chronic wounds are associated with significant clinical, economic and quality‐of‐life burden. Despite the variety of wound imaging systems available in the market for wound assessment and surveillance, few are clinically validated among patients of Asian ethnicity. We aimed to clinically validate the accuracy of a smartphone wound application (Tissue Analytics [TA], Net Health Systems Inc, Florida, USA), versus conventional wound measurements (visual approximation and paper rulers), in patients of Asian ethnicity with venous leg ulcers (VLU). A prospective cohort study of patients presenting with VLU to a specialist wound nurse clinic over a 5‐week duration was conducted. Each patient received seven wound measurements: one by a trained wound nurse clinician, and three separate wound measurements using TA on each of the iOS and Android operating systems. Inter‐rater and intra‐rater reliability between clinical and TA‐based measurements were analysed using intra‐class correlation statistics, with values of <0.5, 0.5 to 0.75, 0.75 to 0.9, and >0.9 indicating poor, moderate, good and excellent reliability, respectively. 82 patients (51% males), with a mean age at 65.8 years, completed the 5‐week study duration. 25 (30%) had underlying diabetes mellitus. Chinese, Malay and Indian ethnicity comprised 68%, 12% and 11%, respectively. The VLU healed in 26 (32%) of patients within the study period. In total, 358 wound episodes with 2334 wound images were analysed. Inter‐rater reliability for length, width and area between wound nurse measurements and TA application measurements was good (range 0.799‐0.919, P < 0.001). Separate measurements of intra‐rater reliability for length, width and area within the iOS or Android systems were excellent (range 0.967‐0.985 and range 0.977‐0.984 respectively, P < 0.001). Inter‐rater reliability between TA used on the iOS and Android systems was also excellent (0.987‐0.989, P < 0.001). Tissue Analytics, a smartphone wound application, is a useful adjunct for wound assessment and surveillance in VLU patients of Asian ethnicity.
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spelling pubmed-99279112023-02-16 Clinical validation of a smartphone application for automated wound measurement in patients with venous leg ulcers Fong, Khi Yung Lai, Tina Peiting Chan, Kai Siang See, Isabel Jia Le Goh, Cheng Cheng Muthuveerappa, Sivakami Tan, Audrey Huimin Liang, Shanying Lo, Zhiwen Joseph Int Wound J Original Articles Chronic wounds are associated with significant clinical, economic and quality‐of‐life burden. Despite the variety of wound imaging systems available in the market for wound assessment and surveillance, few are clinically validated among patients of Asian ethnicity. We aimed to clinically validate the accuracy of a smartphone wound application (Tissue Analytics [TA], Net Health Systems Inc, Florida, USA), versus conventional wound measurements (visual approximation and paper rulers), in patients of Asian ethnicity with venous leg ulcers (VLU). A prospective cohort study of patients presenting with VLU to a specialist wound nurse clinic over a 5‐week duration was conducted. Each patient received seven wound measurements: one by a trained wound nurse clinician, and three separate wound measurements using TA on each of the iOS and Android operating systems. Inter‐rater and intra‐rater reliability between clinical and TA‐based measurements were analysed using intra‐class correlation statistics, with values of <0.5, 0.5 to 0.75, 0.75 to 0.9, and >0.9 indicating poor, moderate, good and excellent reliability, respectively. 82 patients (51% males), with a mean age at 65.8 years, completed the 5‐week study duration. 25 (30%) had underlying diabetes mellitus. Chinese, Malay and Indian ethnicity comprised 68%, 12% and 11%, respectively. The VLU healed in 26 (32%) of patients within the study period. In total, 358 wound episodes with 2334 wound images were analysed. Inter‐rater reliability for length, width and area between wound nurse measurements and TA application measurements was good (range 0.799‐0.919, P < 0.001). Separate measurements of intra‐rater reliability for length, width and area within the iOS or Android systems were excellent (range 0.967‐0.985 and range 0.977‐0.984 respectively, P < 0.001). Inter‐rater reliability between TA used on the iOS and Android systems was also excellent (0.987‐0.989, P < 0.001). Tissue Analytics, a smartphone wound application, is a useful adjunct for wound assessment and surveillance in VLU patients of Asian ethnicity. Blackwell Publishing Ltd 2022-08-08 /pmc/articles/PMC9927911/ /pubmed/36787270 http://dx.doi.org/10.1111/iwj.13918 Text en © 2022 The Authors. International Wound Journal published by Medicalhelplines.com Inc and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Fong, Khi Yung
Lai, Tina Peiting
Chan, Kai Siang
See, Isabel Jia Le
Goh, Cheng Cheng
Muthuveerappa, Sivakami
Tan, Audrey Huimin
Liang, Shanying
Lo, Zhiwen Joseph
Clinical validation of a smartphone application for automated wound measurement in patients with venous leg ulcers
title Clinical validation of a smartphone application for automated wound measurement in patients with venous leg ulcers
title_full Clinical validation of a smartphone application for automated wound measurement in patients with venous leg ulcers
title_fullStr Clinical validation of a smartphone application for automated wound measurement in patients with venous leg ulcers
title_full_unstemmed Clinical validation of a smartphone application for automated wound measurement in patients with venous leg ulcers
title_short Clinical validation of a smartphone application for automated wound measurement in patients with venous leg ulcers
title_sort clinical validation of a smartphone application for automated wound measurement in patients with venous leg ulcers
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9927911/
https://www.ncbi.nlm.nih.gov/pubmed/36787270
http://dx.doi.org/10.1111/iwj.13918
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