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Preclosure spectroscopic differences between healed and dehisced traumatic wounds

BACKGROUND: The complexity and severity of traumatic wounds in military and civilian trauma demands improved wound assessment, before, during, and after treatment. Here, we explore the potential of 3 charge-coupled device (3CCD) imaging values to distinguish between traumatic wounds that heal follow...

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Autores principales: Radowsky, Jason S., Neely, Romon, Forsberg, Jonathan A., Lisboa, Felipe A., Dente, Christopher J., Elster, Eric A., Crane, Nicole J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160065/
https://www.ncbi.nlm.nih.gov/pubmed/30261011
http://dx.doi.org/10.1371/journal.pone.0204453
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author Radowsky, Jason S.
Neely, Romon
Forsberg, Jonathan A.
Lisboa, Felipe A.
Dente, Christopher J.
Elster, Eric A.
Crane, Nicole J.
author_facet Radowsky, Jason S.
Neely, Romon
Forsberg, Jonathan A.
Lisboa, Felipe A.
Dente, Christopher J.
Elster, Eric A.
Crane, Nicole J.
author_sort Radowsky, Jason S.
collection PubMed
description BACKGROUND: The complexity and severity of traumatic wounds in military and civilian trauma demands improved wound assessment, before, during, and after treatment. Here, we explore the potential of 3 charge-coupled device (3CCD) imaging values to distinguish between traumatic wounds that heal following closure and those that fail. Previous studies demonstrate that normalized 3CCD imaging values exhibit a high correlation with oxygen saturation and allow for comparison of values between diverse clinical settings, including utilizing different equipment and lighting. METHODS: We screened 119 patients at Walter Reed National Military Medical Center and at Grady Memorial Hospital with at least one traumatic extremity wound of ≥ 75 cm(2). We collected images of each wound during each débridement surgery for a total of 66 patients. An in-house written computer application selected a region of interest in the images, separated the pixel color values, calculated relative values, and normalized them. We followed patients until the enrolled wounds were surgically closed, quantifying the number of wounds that dehisced (defined as wound failure or infection requiring return to the operating room after closure) or healed. RESULTS: Wound failure occurred in 20% (19 of 96) of traumatic wounds. Normalized intensity values for patients with wounds that healed successfully were, on average, significantly different from values for patients with wounds that failed (p ≤ 0.05). Simple thresholding models and partial least squares discriminant analysis models performed poorly. However, a hierarchical cluster analysis model created with 17 variables including 3CCD data, wound surface area, and time from injury predicts wound failure with 76.9% sensitivity, 76.5% specificity, 76.6% accuracy, and a diagnostic odds ratio of 10.8 (95% confidence interval: 2.6–45.9). CONCLUSIONS: Imaging using 3CCD technology may provide a non-invasive and cost-effective method of aiding surgeons in deciding if wounds are ready for closure and could potentially decrease the number of required débridements and hospital days. The process may be automated to provide real-time feedback in the operating room and clinic. The low cost and small size of the cameras makes this technology attractive for austere and shipboard environments where space and weight are at a premium.
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spelling pubmed-61600652018-10-19 Preclosure spectroscopic differences between healed and dehisced traumatic wounds Radowsky, Jason S. Neely, Romon Forsberg, Jonathan A. Lisboa, Felipe A. Dente, Christopher J. Elster, Eric A. Crane, Nicole J. PLoS One Research Article BACKGROUND: The complexity and severity of traumatic wounds in military and civilian trauma demands improved wound assessment, before, during, and after treatment. Here, we explore the potential of 3 charge-coupled device (3CCD) imaging values to distinguish between traumatic wounds that heal following closure and those that fail. Previous studies demonstrate that normalized 3CCD imaging values exhibit a high correlation with oxygen saturation and allow for comparison of values between diverse clinical settings, including utilizing different equipment and lighting. METHODS: We screened 119 patients at Walter Reed National Military Medical Center and at Grady Memorial Hospital with at least one traumatic extremity wound of ≥ 75 cm(2). We collected images of each wound during each débridement surgery for a total of 66 patients. An in-house written computer application selected a region of interest in the images, separated the pixel color values, calculated relative values, and normalized them. We followed patients until the enrolled wounds were surgically closed, quantifying the number of wounds that dehisced (defined as wound failure or infection requiring return to the operating room after closure) or healed. RESULTS: Wound failure occurred in 20% (19 of 96) of traumatic wounds. Normalized intensity values for patients with wounds that healed successfully were, on average, significantly different from values for patients with wounds that failed (p ≤ 0.05). Simple thresholding models and partial least squares discriminant analysis models performed poorly. However, a hierarchical cluster analysis model created with 17 variables including 3CCD data, wound surface area, and time from injury predicts wound failure with 76.9% sensitivity, 76.5% specificity, 76.6% accuracy, and a diagnostic odds ratio of 10.8 (95% confidence interval: 2.6–45.9). CONCLUSIONS: Imaging using 3CCD technology may provide a non-invasive and cost-effective method of aiding surgeons in deciding if wounds are ready for closure and could potentially decrease the number of required débridements and hospital days. The process may be automated to provide real-time feedback in the operating room and clinic. The low cost and small size of the cameras makes this technology attractive for austere and shipboard environments where space and weight are at a premium. Public Library of Science 2018-09-27 /pmc/articles/PMC6160065/ /pubmed/30261011 http://dx.doi.org/10.1371/journal.pone.0204453 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Radowsky, Jason S.
Neely, Romon
Forsberg, Jonathan A.
Lisboa, Felipe A.
Dente, Christopher J.
Elster, Eric A.
Crane, Nicole J.
Preclosure spectroscopic differences between healed and dehisced traumatic wounds
title Preclosure spectroscopic differences between healed and dehisced traumatic wounds
title_full Preclosure spectroscopic differences between healed and dehisced traumatic wounds
title_fullStr Preclosure spectroscopic differences between healed and dehisced traumatic wounds
title_full_unstemmed Preclosure spectroscopic differences between healed and dehisced traumatic wounds
title_short Preclosure spectroscopic differences between healed and dehisced traumatic wounds
title_sort preclosure spectroscopic differences between healed and dehisced traumatic wounds
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160065/
https://www.ncbi.nlm.nih.gov/pubmed/30261011
http://dx.doi.org/10.1371/journal.pone.0204453
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