Literature DB >> 30327232

Evaluating clinical observation versus Spatial Frequency Domain Imaging (SFDI), Laser Speckle Imaging (LSI) and thermal imaging for the assessment of burn depth.

Adrien Ponticorvo1, Rebecca Rowland1, Melissa Baldado1, David M Burmeister2, Robert J Christy2, Nicole P Bernal3, Anthony J Durkin4.   

Abstract

While clinical examination is needed for burn severity diagnosis, several emerging technologies aim to quantify this process for added objectivity. Accurate assessments become easier after burn progression, but earlier assessments of partial thickness burn depth could lead to earlier excision and grafting and subsequent improved healing times, reduced rates of scarring/infection, and shorter hospital stays. Spatial Frequency Domain Imaging (SFDI), Laser Speckle Imaging (LSI) and thermal imaging are three non-invasive imaging modalities that have some diagnostic ability for noninvasive assessment of burn severity, but have not been compared in a controlled experiment. Here we tested the ability of these imaging techniques to assess the severity of histologically confirmed graded burns in a swine model. Controlled, graded burn wounds, 3cm in diameter were created on the dorsum of Yorkshire pigs (n=3, 45-55kg) using a custom-made burn tool that ensures consistent pressure has been employed by various burn research groups. For each pig, a total of 16 burn wounds were created on the dorsal side. Biopsies were taken for histological analysis to verify the severity of the burn. Clinical analysis, SFDI, LSI and thermal imaging were performed at 24 and 72h after burn to assess the accuracy of each imaging technique. In terms of diagnostic accuracy, using histology as a reference, SFDI (85%) and clinical analysis (83%) performed significantly better that LSI (75%) and thermography (73%) 24h after the burn. There was no statistically significant improvement from 24 to 72h across the different imaging modalities. These data indicate that these imaging modalities, and specifically SFDI, can be added to the burn clinicians' toolbox to aid in early assessment of burn severity.
Copyright © 2018 Elsevier Ltd and ISBI. All rights reserved.

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Year:  2018        PMID: 30327232      PMCID: PMC6420831          DOI: 10.1016/j.burns.2018.09.026

Source DB:  PubMed          Journal:  Burns        ISSN: 0305-4179            Impact factor:   2.744


  36 in total

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Authors:  Jeffrey W Shupp; Teresa J Nasabzadeh; Dean S Rosenthal; Marion H Jordan; Philip Fidler; James C Jeng
Journal:  J Burn Care Res       Date:  2010 Nov-Dec       Impact factor: 1.845

2.  Classification of burn injuries using near-infrared spectroscopy.

Authors:  Michael G Sowa; Lorenzo Leonardi; Jeri R Payette; Karen M Cross; Manuel Gomez; Joel S Fish
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3.  Assessing burn depth in tattooed burn lesions with LASCA Imaging.

Authors:  N Krezdorn; A Limbourg; F J Paprottka; R Ipaktchi; P M Vogt
Journal:  Ann Burns Fire Disasters       Date:  2016-09-30

4.  Accuracy of early burn depth assessment by laser Doppler imaging on different days post burn.

Authors:  Henk Hoeksema; Karlien Van de Sijpe; Thiery Tondu; Moustapha Hamdi; Koenraad Van Landuyt; Phillip Blondeel; Stan Monstrey
Journal:  Burns       Date:  2008-10-25       Impact factor: 2.744

Review 5.  Pathologic analysis of photothermal and photomechanical effects of laser-tissue interactions.

Authors:  S Thomsen
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6.  Surgical wound debridement sequentially characterized in a porcine burn model with multispectral imaging.

Authors:  Darlene R King; Weizhi Li; John J Squiers; Rachit Mohan; Eric Sellke; Weirong Mo; Xu Zhang; Wensheng Fan; J Michael DiMaio; Jeffrey E Thatcher
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7.  Noninvasive Techniques for the Determination of Burn Severity in Real Time.

Authors:  David M Burmeister; Cesario Cerna; Sandra C Becerra; Mark Sloan; Gerald Wilmink; Robert J Christy
Journal:  J Burn Care Res       Date:  2017 Jan/Feb       Impact factor: 1.845

8.  A comparison of two laser-based methods for determination of burn scar perfusion: laser Doppler versus laser speckle imaging.

Authors:  C J Stewart; R Frank; K R Forrester; J Tulip; R Lindsay; R C Bray
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9.  Hyperspectral Imaging for Burn Depth Assessment in an Animal Model.

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Journal:  Neurophotonics       Date:  2017-12-26       Impact factor: 3.593

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2.  Burn wound classification model using spatial frequency-domain imaging and machine learning.

Authors:  Rebecca Rowland; Adrien Ponticorvo; Melissa Baldado; Gordon T Kennedy; David M Burmeister; Robert J Christy; Nicole P Bernal; Anthony J Durkin
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3.  Impact of hemoglobin breakdown products in the spectral analysis of burn wounds using spatial frequency domain spectroscopy.

Authors:  Rolf B Saager; Rebecca A Rowland; Melissa L Baldado; Gordon T Kennedy; Nicole P Bernal; Adrien Ponticorvo; Robert J Christy; Anthony J Durkin
Journal:  J Biomed Opt       Date:  2019-02       Impact factor: 3.170

4.  Spatial frequency domain imaging: a quantitative, noninvasive tool for in vivo monitoring of burn wound and skin graft healing.

Authors:  Gordon T Kennedy; Randolph Stone; Andrew C Kowalczewski; Rebecca Rowland; Jeffrey H Chen; Melissa L Baldado; Adrien Ponticorvo; Nicole Bernal; Robert J Christy; Anthony J Durkin
Journal:  J Biomed Opt       Date:  2019-07       Impact factor: 3.170

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6.  Characterizing reduced scattering coefficient of normal human skin across different anatomic locations and Fitzpatrick skin types using spatial frequency domain imaging.

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Journal:  J Biomed Opt       Date:  2021-02       Impact factor: 3.170

7.  Evaluation of Hemodynamics in a Murine Hindlimb Ischemia Model Using Spatial Frequency Domain Imaging.

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8.  Handheld multispectral imager for quantitative skin assessment in low-resource settings.

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9.  Real-time video-rate perfusion imaging using multi-exposure laser speckle contrast imaging and machine learning.

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10.  Quantifying dermal microcirculatory changes of neuropathic and neuroischemic diabetic foot ulcers using spatial frequency domain imaging: a shade of things to come?

Authors:  Grant A Murphy; Rajinder P Singh-Moon; Amaan Mazhar; David J Cuccia; Vincent L Rowe; David G Armstrong
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