Feasibility of intra-operative image guidance in burn excision surgery with multispectral imaging and deep learning.

Journal: Burns : journal of the International Society for Burn Injuries
PMID: 37821282

Abstract

BACKGROUND: Exposing a healthy wound bed for skin grafting is an important step during burn surgery to ensure graft take and maintain good functional outcomes. Currently, the removal of non-viable tissue in the burn wound bed during excision is determined by expert clinician judgment. Using a porcine model of tangential burn excision, we investigated the effectiveness of an intraoperative multispectral imaging device combined with artificial intelligence to aid clinician judgment for the excision of non-viable tissue.

Authors

  • Shuai Yu
    Spectral MD, Dallas, Tex.
  • Jason Dwight
    Spectral MD, Inc., Dallas, TX, USA.
  • Robert C Siska
    Wake Forest University School of Medicine, Plastic and Reconstructive Surgery, Winston-Salem, NC, USA.
  • Heather Burkart
    Wake Forest University School of Medicine, Pathology - Comparative Medicine, Winston-Salem, NC, USA.
  • Peiran Quan
    Spectral MD, Dallas, Tex.
  • Faliu Yi
    Quantitative Biomedical Research Center, Department of Clinical Sciences, University of Texas Southwestern Medical Center, 5325 Harry Hines Blvd, Dallas, TX, 75390, USA.
  • Shimeng Du
    Spectral MD, Inc., Dallas, TX, USA.
  • Yahya Daoud
    Spectral MD, Inc., Dallas, TX, USA.
  • Kevin Plant
    Spectral MD, Inc., Dallas, TX, USA.
  • Anthony Criscitiello
    Wake Forest University School of Medicine, Winston-Salem, NC, USA.
  • Joseph Molnar
    Wake Forest University School of Medicine, Plastic and Reconstructive Surgery, Winston-Salem, NC, USA.
  • Jeffrey E Thatcher

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