Literature DB >> 26594863

Multispectral and Photoplethysmography Optical Imaging Techniques Identify Important Tissue Characteristics in an Animal Model of Tangential Burn Excision.

Jeffrey E Thatcher1, Weizhi Li, Yolanda Rodriguez-Vaqueiro, John J Squiers, Weirong Mo, Yang Lu, Kevin D Plant, Eric Sellke, Darlene R King, Wensheng Fan, Jose A Martinez-Lorenzo, J Michael DiMaio.   

Abstract

Burn excision, a difficult technique owing to the training required to identify the extent and depth of injury, will benefit from a tool that can cue the surgeon as to where and how much to resect. We explored two rapid and noninvasive optical imaging techniques in their ability to identify burn tissue from the viable wound bed using an animal model of tangential burn excision. Photoplethysmography (PPG) imaging and multispectral imaging (MSI) were used to image the initial, intermediate, and final stages of burn excision of a deep partial-thickness burn. PPG imaging maps blood flow in the skin's microcirculation, and MSI collects the tissue reflectance spectrum in visible and infrared wavelengths of light to classify tissue based on a reference library. A porcine deep partial-thickness burn model was generated and serial tangential excision accomplished with an electric dermatome set to 1.0 mm depth. Excised eschar was stained with hematoxylin and eosin to determine the extent of burn remaining at each excision depth. We confirmed that the PPG imaging device showed significantly less blood flow where burn tissue was present, and the MSI method could delineate burn tissue in the wound bed from the viable wound bed. These results were confirmed independently by a histological analysis. We found these devices can identify the proper depth of excision, and their images could cue a surgeon as to the preparedness of the wound bed for grafting. These image outputs are expected to facilitate clinical judgment in the operating room.

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Year:  2016        PMID: 26594863     DOI: 10.1097/BCR.0000000000000317

Source DB:  PubMed          Journal:  J Burn Care Res        ISSN: 1559-047X            Impact factor:   1.845


  6 in total

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

Authors:  Omar B Osman; Timothy Jack Tan; Sam Henry; Adelaide Warsen; Navid Farr; Abbi M McClintic; Yak-Nam Wang; Saman Arbabi; M Hassan Arbab
Journal:  Biomed Opt Express       Date:  2020-10-19       Impact factor: 3.732

Review 2.  Imaging Techniques for Clinical Burn Assessment with a Focus on Multispectral Imaging.

Authors:  Jeffrey E Thatcher; John J Squiers; Stephen C Kanick; Darlene R King; Yang Lu; Yulin Wang; Rachit Mohan; Eric W Sellke; J Michael DiMaio
Journal:  Adv Wound Care (New Rochelle)       Date:  2016-08-01       Impact factor: 4.730

3.  Burn-injured tissue detection for debridement surgery through the combination of non-invasive optical imaging techniques.

Authors:  Juan Heredia-Juesas; Jeffrey E Thatcher; Yang Lu; John J Squiers; Darlene King; Wensheng Fan; J Michael DiMaio; Jose A Martinez-Lorenzo
Journal:  Biomed Opt Express       Date:  2018-03-22       Impact factor: 3.732

Review 4.  Indeterminate-Depth Burn Injury-Exploring the Uncertainty.

Authors:  Aos S Karim; Katherine Shaum; Angela L F Gibson
Journal:  J Surg Res       Date:  2019-08-14       Impact factor: 2.192

5.  New insights into the origin of remote PPG signals in visible light and infrared.

Authors:  Andreia V Moço; Sander Stuijk; Gerard de Haan
Journal:  Sci Rep       Date:  2018-05-31       Impact factor: 4.379

6.  Machine learning analysis of multispectral imaging and clinical risk factors to predict amputation wound healing.

Authors:  John J Squiers; Jeffrey E Thatcher; David S Bastawros; Andrew J Applewhite; Ronald D Baxter; Faliu Yi; Peiran Quan; Shuai Yu; J Michael DiMaio; Dennis R Gable
Journal:  J Vasc Surg       Date:  2021-07-24       Impact factor: 4.268

  6 in total

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