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In Vivo Assessment and Monitoring of Burn Wounds Using a Handheld Terahertz Hyperspectral Scanner.
Osman, Omar B; Harris, Zachery B; Zhou, Juin W; Khani, Mahmoud E; Singer, Adam J; Arbab, M Hassan.
Afiliación
  • Osman OB; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA.
  • Harris ZB; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA.
  • Zhou JW; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA.
  • Khani ME; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA.
  • Singer AJ; Department of Emergency Medicine, Renaissance School of Medicine at Stony Brook University, 101 Nicolls Rd., Stony Brook, NY 11794, USA.
  • Arbab MH; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA.
Adv Photonics Res ; 3(5)2022 May.
Article en En | MEDLINE | ID: mdl-36589697
ABSTRACT
The accuracy of clinical assessment techniques in diagnosing partial-thickness burn injuries has remained as low as 50-76%. Depending on the burn depth and environmental factors in the wound, such as reactive oxygen species, inflammation, and autophagy, partial-thickness burns can heal spontaneously or require surgical intervention. Herein, it is demonstrated that terahertz time-domain spectral imaging (THz-TDSI) is a promising tool for in vivo quantitative assessment and monitoring of partial-thickness burn injuries in large animals. We used a novel handheld THz-TDSI scanner to characterize burn injuries in a porcine scald model with histopathological controls. Statistical analysis (n= 40) indicates that the THz-TDSI modality can accurately differentiate between partial-thickness and full-thickness burn injuries (1-way ANOVA, p< 0.05). THz-TDSI has the potential to improve burn care outcomes by helping surgeons in making objective decisions for early excision of the wound.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Photonics Res Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Photonics Res Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos