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Medical Device to Assess the Viability of Tissue Prior to Skin Grafting

Award Information
Agency: Department of Defense
Branch: Defense Health Agency
Contract: W81XWH-17-C-0170
Agency Tracking Number: H17A-006-0002
Amount: $149,828.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: DHA17A-006
Solicitation Number: 2017.0
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-09-15
Award End Date (Contract End Date): 2018-04-14
Small Business Information
2515 McKinney Ave., Ste. 1000
Dallas, TX 75201
United States
DUNS: 829852339
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jeffrey Thatcher, PhD
 Chief Scientist
 (972) 499-4934
Business Contact
 Leah Gaither
Phone: (972) 499-4934
Research Institution
 Wake Forest School of Medicine
 Dr. James Holmes
475 Vine Street Bowman Gray Center for Medical Education
Winston-Salem, NC 27101
United States

 (336) 716-7021
 Nonprofit College or University

The primary objective of this proposal is to design and demonstrate the SpectralMD DeepView imaging technology can allow surgeons to quickly and objectively assess the viability of tissue in a burn excision site prior to skin grafting. DeepView uses machine learning algorithms to analyze data acquired by multispectral imaging to generate quantitative prognostic images with a user-friendly output that is easily interpretable. It is to our knowledge the only burn imaging technology that has undergone thorough investigation in a pre-clinical animal model of burn excision, where it demonstrated success in detecting tissue viability throughout the skin layers and into the subcutaneous fat. Upon completion of this project, a portable DeepView system will be designed that provides images of the post-excisional remaining tissues in real-time to aid surgeons in determining if and how much burn tissue to excise. Other uses of the portable DeepView device include: diagnosing burn wound healing potential and the need for surgery during in burn triage; determining proper level of limb amputation to minimize the high rate of re-amputation in the chronic wound population; and monitoring of reconstructive flap viability. The portable DeepView system will have wide commercial utility in addition to the current military-focused application.

* Information listed above is at the time of submission. *

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