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Heat transfer model for deep tissue injury: a step towards an early thermographic diagnostic capability

BACKGROUND: Deep tissue injury (DTI) is a class of serious lesions which develop in the deep tissue layers as a result of sustained tissue loading or pressure-induced ischemic injury. DTI lesions often do not become visible on the skin surface until the injury reaches an advanced stage, making their...

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Autores principales: Bhargava, Akanksha, Chanmugam, Arjun, Herman, Cila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3996098/
https://www.ncbi.nlm.nih.gov/pubmed/24555856
http://dx.doi.org/10.1186/1746-1596-9-36
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author Bhargava, Akanksha
Chanmugam, Arjun
Herman, Cila
author_facet Bhargava, Akanksha
Chanmugam, Arjun
Herman, Cila
author_sort Bhargava, Akanksha
collection PubMed
description BACKGROUND: Deep tissue injury (DTI) is a class of serious lesions which develop in the deep tissue layers as a result of sustained tissue loading or pressure-induced ischemic injury. DTI lesions often do not become visible on the skin surface until the injury reaches an advanced stage, making their early detection a challenging task. THEORY: Early diagnosis leading to early treatment mitigates the progression of the lesion and remains one of the priorities in clinical care. The aim of the study is to relate changes in tissue temperature with key physiological changes occurring at the tissue level to develop criteria for the detection of incipient DTIs. METHOD: Skin surface temperature distributions of the damaged tissue were analyzed using a multilayer tissue model. Thermal response of the skin surface to a cooling stress, was computed for deep tissue inflammation and deep tissue ischemia, and then compared with computed skin temperature of healthy tissue. RESULTS: For a deep lesion situated in muscle and fat layers, measurable skin temperature differences were observed within the first five minutes of thermal recovery period including temperature increases between 0.25°C to 0.9°C during inflammation and temperature decreases between −0.2°C to −0.5°C during ischemia. CONCLUSIONS: The computational thermal models can explain previously published thermographic findings related to DTIs and pressure ulcers. It is concluded that infrared thermography can be used as an objective, non-invasive and quantitative means of early DTI diagnosis. VIRTUAL SLIDES: The virtual slides for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1461254346108378.
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spelling pubmed-39960982014-05-07 Heat transfer model for deep tissue injury: a step towards an early thermographic diagnostic capability Bhargava, Akanksha Chanmugam, Arjun Herman, Cila Diagn Pathol Research BACKGROUND: Deep tissue injury (DTI) is a class of serious lesions which develop in the deep tissue layers as a result of sustained tissue loading or pressure-induced ischemic injury. DTI lesions often do not become visible on the skin surface until the injury reaches an advanced stage, making their early detection a challenging task. THEORY: Early diagnosis leading to early treatment mitigates the progression of the lesion and remains one of the priorities in clinical care. The aim of the study is to relate changes in tissue temperature with key physiological changes occurring at the tissue level to develop criteria for the detection of incipient DTIs. METHOD: Skin surface temperature distributions of the damaged tissue were analyzed using a multilayer tissue model. Thermal response of the skin surface to a cooling stress, was computed for deep tissue inflammation and deep tissue ischemia, and then compared with computed skin temperature of healthy tissue. RESULTS: For a deep lesion situated in muscle and fat layers, measurable skin temperature differences were observed within the first five minutes of thermal recovery period including temperature increases between 0.25°C to 0.9°C during inflammation and temperature decreases between −0.2°C to −0.5°C during ischemia. CONCLUSIONS: The computational thermal models can explain previously published thermographic findings related to DTIs and pressure ulcers. It is concluded that infrared thermography can be used as an objective, non-invasive and quantitative means of early DTI diagnosis. VIRTUAL SLIDES: The virtual slides for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1461254346108378. BioMed Central 2014-02-20 /pmc/articles/PMC3996098/ /pubmed/24555856 http://dx.doi.org/10.1186/1746-1596-9-36 Text en Copyright © 2014 Bhargava et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Bhargava, Akanksha
Chanmugam, Arjun
Herman, Cila
Heat transfer model for deep tissue injury: a step towards an early thermographic diagnostic capability
title Heat transfer model for deep tissue injury: a step towards an early thermographic diagnostic capability
title_full Heat transfer model for deep tissue injury: a step towards an early thermographic diagnostic capability
title_fullStr Heat transfer model for deep tissue injury: a step towards an early thermographic diagnostic capability
title_full_unstemmed Heat transfer model for deep tissue injury: a step towards an early thermographic diagnostic capability
title_short Heat transfer model for deep tissue injury: a step towards an early thermographic diagnostic capability
title_sort heat transfer model for deep tissue injury: a step towards an early thermographic diagnostic capability
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3996098/
https://www.ncbi.nlm.nih.gov/pubmed/24555856
http://dx.doi.org/10.1186/1746-1596-9-36
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