Novel multi‐spectral short‐wave infrared imaging for assessment of human burn wound depth.

Burn depth determination is critical for patient care but is currently lacking accuracy. Recent animal studies showed that Short Wave Infrared (SWIR) imaging can distinguish between superficial and deep burns. This is a first human study correlating reflectance of multiple SWIR bands using a SWIR as...

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Publicado en:Wound Repair & Regeneration Vol. 32; no. 6; pp. 979 - 992
Autores principales: Nunez, Johanna, Mironov, Sergey, Wan, Bingchun, Hazime, Alaa, Clark, Audra, Akarichi, Chiaka, Abdelfattah, Kareem, Korlakunta, Sneha, Mandell, Samuel, Arnoldo, Brett, Chan, Rodney, Goverman, Jeremy, Huebinger, Ryan, Park, Caroline, Evers, Bret, Carlson, Deborah, Berenfeld, Omer, Levi, Benjamin
Formato: pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell Nov2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2024
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1111/wrr.13221
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        atl: Novel multi‐spectral short‐wave infrared imaging for assessment of human burn wound depth.
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        au:
          Nunez, Johanna
          Mironov, Sergey
          Wan, Bingchun
          Hazime, Alaa
          Clark, Audra
          Akarichi, Chiaka
          Abdelfattah, Kareem
          Korlakunta, Sneha
          Mandell, Samuel
          Arnoldo, Brett
          Chan, Rodney
          Goverman, Jeremy
          Huebinger, Ryan
          Park, Caroline
          Evers, Bret
          Carlson, Deborah
          Berenfeld, Omer
          Levi, Benjamin
        affil: Department of Surgery, Center for Organogenesis, Regeneration and Trauma, University of Texas Southwestern Medical Center, Dallas Texas,, USA
      sug:
        subj:
          Burns Radiography
          Heat Adverse Effects
          Wound Assessment Methods
          Wound Healing Physiology
          Skin Pathology
          Skin Anatomy and Histology
          Skin Radiography
          Tissue Viability Evaluation
          Biological Phenomena Evaluation
          Human
          Surgeons
          Pathologists
          Funding Source
          Biopsy
          Luminescent Measurements
          Electromagnetics Utilization
          Descriptive Statistics
      ab: Burn depth determination is critical for patient care but is currently lacking accuracy. Recent animal studies showed that Short Wave Infrared (SWIR) imaging can distinguish between superficial and deep burns. This is a first human study correlating reflectance of multiple SWIR bands using a SWIR assessment tool (SWAT) with burn depth classifications by surgeons and histology. Burns and adjacent normal skin in 11 patients with thermal injuries were imaged with visual and narrow bands centred at 1200, 1650, 1940 and 2250 nm and biopsies were taken from select areas. Reflectance intensities for each band in 273 regions of interest (ROI) were divided by the normal skin reflectance and combined into three Reflectance Indices (RIs). In addition, burns in ROIs and biopsies were classified by five surgeons and three pathologists, respectively, as superficial partial, deep partial, or full thickness. Results show that for burn depth increase classified by the surgeons, reflectance increased at 1200 and 2250, decreased at 1940, and didn't change at 1650 nm. In contrast, all three RIs increase with burn depth and predict the deep and full depths ROIs representing operable regions (Area Under Curve >0.6507, p < 0.0001). Pathologists' classification matched surgeons' classification of burn category only in eight of 21 biopsies (38.1%), but reflectance at all bands and one RI for all deep partial and full thickness biopsies were larger than in non‐biopsy normal and superficial partial thickness ROIs (p < 0.0118). In conclusion, multi‐spectral imaging with a new SWAT is a promising approach for evaluation of burn wound depth.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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