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      Differentiation of burn wounds in an in vivo porcine model using terahertz spectroscopy

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          Abstract

          The accuracy of current burn triage techniques has remained between 50-70%. Accordingly, there is a significant clinical need for the quantitative and accurate assessment of partial-thickness burn injuries. Porcine skin represents the closest animal model to human skin, and is often used in surgical skin grafting procedures. In this study, we used a standardized in vivo porcine burn model to obtain terahertz (THz) point-spectroscopy measurements from burns with various severities. We then extracted two reflection hyperspectral parameters, namely spectral area under the curve between approximately 0.1 and 0.9 THz (−10 dB bandwidth in each spectrum), and spectral slope, to characterize each burn. Using a linear combination of these two parameters, we accurately classified deep partial- and superficial partial-thickness burns ( p = 0.0159), compared to vimentin immunohistochemistry as the gold standard for burn depth determination.

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          Author and article information

          Journal
          Biomed Opt Express
          Biomed Opt Express
          BOE
          Biomedical Optics Express
          Optical Society of America
          2156-7085
          19 October 2020
          01 November 2020
          : 11
          : 11
          : 6528-6535
          Affiliations
          [1 ]Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA
          [2 ]Computer Engineering and Systems Department, University of Washington, Tacoma, WA 98402, USA
          [3 ]Burn Center and Division of Plastic Surgery, Department of Surgery, University of Washington, Seattle, WA 98104, USA
          [4 ]Applied Physics Laboratory, University of Washington, Seattle, WA 98105, USA
          Author notes
          Author information
          https://orcid.org/0000-0002-0943-6703
          https://orcid.org/0000-0002-6565-3358
          Article
          PMC7687949 PMC7687949 7687949 397792
          10.1364/BOE.397792
          7687949
          33282506
          b87db9e1-af69-46da-a396-5d1d5aae284c
          © 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

          © 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

          History
          : 18 May 2020
          : 26 July 2020
          : 24 August 2020
          Funding
          Funded by: National Institute of General Medical Sciences 10.13039/100000057
          Award ID: R01GM112693
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          Article

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