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Smartphone-Based LiDAR Application for Easy and Accurate Wound Size Measurement
The accurate assessment of wound size is a critical step in advanced wound care management. This study aims to introduce and validate a Light Detection and Ranging (LiDAR) technique for measuring wound size. Twenty-eight wounds treated from December 2022 to April 2023 at the Chungnam National Univer...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531604/ https://www.ncbi.nlm.nih.gov/pubmed/37762982 http://dx.doi.org/10.3390/jcm12186042 |
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author | Song, Bokeun Kim, Jeonghee Kwon, Hyeokjae Kim, Sunje Oh, Sang-Ha Ha, Yooseok Song, Seung-Han |
author_facet | Song, Bokeun Kim, Jeonghee Kwon, Hyeokjae Kim, Sunje Oh, Sang-Ha Ha, Yooseok Song, Seung-Han |
author_sort | Song, Bokeun |
collection | PubMed |
description | The accurate assessment of wound size is a critical step in advanced wound care management. This study aims to introduce and validate a Light Detection and Ranging (LiDAR) technique for measuring wound size. Twenty-eight wounds treated from December 2022 to April 2023 at the Chungnam National University Hospital were analyzed. All the wounds were measured using three techniques: conventional ruler methods, the LiDAR technique, and ImageJ analysis. Correlation analysis, linear regression, and Bland–Altman plot analysis were performed to validate the accuracy of the novel method. The measurement results (mean ± standard deviation) obtained using the ruler method, LiDAR technique, and ImageJ analysis were 112.99 ± 110.07 cm(2), 73.59 ± 72.97 cm(2), and 74.29 ± 72.15 cm(2), respectively. The Pearson correlation coefficient was higher for the LiDAR application (0.995) than for the conventional ruler methods (mean difference, −5.0000 cm(2)), as was the degree of agreement (mean difference, 38.6933 cm(2)). Wound size measurement using LiDAR is a simple and reliable method that will enable practitioners to conveniently assess wounds with a flattened and irregular shape with higher accuracy. However, non-flattened wounds cannot be assessed owing to the technical limitations of LiDAR. |
format | Online Article Text |
id | pubmed-10531604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105316042023-09-28 Smartphone-Based LiDAR Application for Easy and Accurate Wound Size Measurement Song, Bokeun Kim, Jeonghee Kwon, Hyeokjae Kim, Sunje Oh, Sang-Ha Ha, Yooseok Song, Seung-Han J Clin Med Article The accurate assessment of wound size is a critical step in advanced wound care management. This study aims to introduce and validate a Light Detection and Ranging (LiDAR) technique for measuring wound size. Twenty-eight wounds treated from December 2022 to April 2023 at the Chungnam National University Hospital were analyzed. All the wounds were measured using three techniques: conventional ruler methods, the LiDAR technique, and ImageJ analysis. Correlation analysis, linear regression, and Bland–Altman plot analysis were performed to validate the accuracy of the novel method. The measurement results (mean ± standard deviation) obtained using the ruler method, LiDAR technique, and ImageJ analysis were 112.99 ± 110.07 cm(2), 73.59 ± 72.97 cm(2), and 74.29 ± 72.15 cm(2), respectively. The Pearson correlation coefficient was higher for the LiDAR application (0.995) than for the conventional ruler methods (mean difference, −5.0000 cm(2)), as was the degree of agreement (mean difference, 38.6933 cm(2)). Wound size measurement using LiDAR is a simple and reliable method that will enable practitioners to conveniently assess wounds with a flattened and irregular shape with higher accuracy. However, non-flattened wounds cannot be assessed owing to the technical limitations of LiDAR. MDPI 2023-09-19 /pmc/articles/PMC10531604/ /pubmed/37762982 http://dx.doi.org/10.3390/jcm12186042 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Song, Bokeun Kim, Jeonghee Kwon, Hyeokjae Kim, Sunje Oh, Sang-Ha Ha, Yooseok Song, Seung-Han Smartphone-Based LiDAR Application for Easy and Accurate Wound Size Measurement |
title | Smartphone-Based LiDAR Application for Easy and Accurate Wound Size Measurement |
title_full | Smartphone-Based LiDAR Application for Easy and Accurate Wound Size Measurement |
title_fullStr | Smartphone-Based LiDAR Application for Easy and Accurate Wound Size Measurement |
title_full_unstemmed | Smartphone-Based LiDAR Application for Easy and Accurate Wound Size Measurement |
title_short | Smartphone-Based LiDAR Application for Easy and Accurate Wound Size Measurement |
title_sort | smartphone-based lidar application for easy and accurate wound size measurement |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531604/ https://www.ncbi.nlm.nih.gov/pubmed/37762982 http://dx.doi.org/10.3390/jcm12186042 |
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