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Thermal imaging potential and limitations to predict healing of venous leg ulcers
Area analysis of thermal images can detect delayed healing in diabetes foot ulcers, but not venous leg ulcers (VLU) assessed in the home environment. This study proposes using textural analysis of thermal images to predict the healing trajectory of venous leg ulcers assessed in home settings. Partic...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225806/ https://www.ncbi.nlm.nih.gov/pubmed/34168251 http://dx.doi.org/10.1038/s41598-021-92828-2 |
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author | Monshipouri, Mahta Aliahmad, Behzad Ogrin, Rajna Elder, Kylie Anderson, Jacinta Polus, Barbara Kumar, Dinesh |
author_facet | Monshipouri, Mahta Aliahmad, Behzad Ogrin, Rajna Elder, Kylie Anderson, Jacinta Polus, Barbara Kumar, Dinesh |
author_sort | Monshipouri, Mahta |
collection | PubMed |
description | Area analysis of thermal images can detect delayed healing in diabetes foot ulcers, but not venous leg ulcers (VLU) assessed in the home environment. This study proposes using textural analysis of thermal images to predict the healing trajectory of venous leg ulcers assessed in home settings. Participants with VLU were followed over twelve weeks. Digital images, thermal images and planimetry of wound tracings of the ulcers of 60 older participants was recorded in their homes by nurses. Participants were labelled as healed or unhealed based on status of the wound at the 12th week follow up. The weekly change in textural features was computed and the first two principal components were obtained. 60 participants (aged 80.53 ± 11.94 years) with 72 wounds (mean area 21.32 ± 51.28cm(2)) were included in the study. The first PCA of the change in textural features in week 2 with respect to week 0 were statistically significant for differentiating between healed and unhealed cases. Textural analysis of thermal images is an effective method to predict in week 2 which venous leg ulcers will not heal by week 12 among older people whose wounds are being managed in their homes. |
format | Online Article Text |
id | pubmed-8225806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82258062021-07-02 Thermal imaging potential and limitations to predict healing of venous leg ulcers Monshipouri, Mahta Aliahmad, Behzad Ogrin, Rajna Elder, Kylie Anderson, Jacinta Polus, Barbara Kumar, Dinesh Sci Rep Article Area analysis of thermal images can detect delayed healing in diabetes foot ulcers, but not venous leg ulcers (VLU) assessed in the home environment. This study proposes using textural analysis of thermal images to predict the healing trajectory of venous leg ulcers assessed in home settings. Participants with VLU were followed over twelve weeks. Digital images, thermal images and planimetry of wound tracings of the ulcers of 60 older participants was recorded in their homes by nurses. Participants were labelled as healed or unhealed based on status of the wound at the 12th week follow up. The weekly change in textural features was computed and the first two principal components were obtained. 60 participants (aged 80.53 ± 11.94 years) with 72 wounds (mean area 21.32 ± 51.28cm(2)) were included in the study. The first PCA of the change in textural features in week 2 with respect to week 0 were statistically significant for differentiating between healed and unhealed cases. Textural analysis of thermal images is an effective method to predict in week 2 which venous leg ulcers will not heal by week 12 among older people whose wounds are being managed in their homes. Nature Publishing Group UK 2021-06-24 /pmc/articles/PMC8225806/ /pubmed/34168251 http://dx.doi.org/10.1038/s41598-021-92828-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Monshipouri, Mahta Aliahmad, Behzad Ogrin, Rajna Elder, Kylie Anderson, Jacinta Polus, Barbara Kumar, Dinesh Thermal imaging potential and limitations to predict healing of venous leg ulcers |
title | Thermal imaging potential and limitations to predict healing of venous leg ulcers |
title_full | Thermal imaging potential and limitations to predict healing of venous leg ulcers |
title_fullStr | Thermal imaging potential and limitations to predict healing of venous leg ulcers |
title_full_unstemmed | Thermal imaging potential and limitations to predict healing of venous leg ulcers |
title_short | Thermal imaging potential and limitations to predict healing of venous leg ulcers |
title_sort | thermal imaging potential and limitations to predict healing of venous leg ulcers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225806/ https://www.ncbi.nlm.nih.gov/pubmed/34168251 http://dx.doi.org/10.1038/s41598-021-92828-2 |
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