Real-Time Flap Viability Monitoring during Facial Transplantation using SFDI

Information

  • Research Project
  • 9209964
  • ApplicationId
    9209964
  • Core Project Number
    R01DE022820
  • Full Project Number
    5R01DE022820-05
  • Serial Number
    022820
  • FOA Number
    PA-11-260
  • Sub Project Id
  • Project Start Date
    2/1/2015 - 9 years ago
  • Project End Date
    1/31/2018 - 6 years ago
  • Program Officer Name
    LOPEZ, ORLANDO
  • Budget Start Date
    2/1/2017 - 7 years ago
  • Budget End Date
    1/31/2018 - 6 years ago
  • Fiscal Year
    2017
  • Support Year
    05
  • Suffix
  • Award Notice Date
    2/2/2017 - 7 years ago
Organizations

Real-Time Flap Viability Monitoring during Facial Transplantation using SFDI

DESCRIPTION (provided by applicant): With the recent introduction of full-face transplantation, it is more important than ever to ensure survival of a transplanted graft. However, flap viability is currently assessed using only subjective clinical criteria or biopsy. Similarly, the field of head and neck reconstructive surgery is struggling to reduce a total flap loss rate as high as 14%. In addition to overt failures, complication rates range from 21% to 43%, leaving patients with a prolonged stay in the ICU, decreased quality of life, and additional healthcare costs. Every year, over 87,000 patients in the US undergo some type of head and neck reconstruction, and new technology that permits objective, noninvasive assessment of flap viability intraoperatively and postoperatively is desperately needed. The hypothesis guiding this study is that near-infrared (NIR) light interacts deeply with living tissue constituents, namely oxyhemoglobin, deoxyhemoglobin, lipids, and water, providing quantitative measurement of physiological parameters, such as oxygenation, metabolism, and hydration. Such information can be used to monitor facial flap transplant viability intraoperatively and postoperatively, in a noninvasive manner and in real time. State-of-the-art NIR endogenous imaging consists of multispectral spatial frequency domain imaging (SFDI) that can accurately provide quantitative images of tissue constituents over large fields of view. The technology we propose to develop is analogous to pulse oximetry. But, rather than sample a single point of the body with NIR light, it provides a complete image of tissue oxygenation and perfusion over the skin surface, and can even separate the contributions of oxyhemoglobin and deoxyhemoglobin to oxygen saturation. To test whether NIR optical imaging has the potential to monitor facial flap viability, we have assembled a multi-institutional team of experts from image-guided surgery, clinical translation, SFDI, and reconstructive surgery. Dr. Bruce Tromberg at UC Irvine is an international leader in biomedical optics whose laboratory first developed the SFDI technique. Dr. Bernard Lee is an active, board-certified plastic and reconstructive surgeon at BIDMC. Our own team at BIDMC has a long and productive track record in intraoperative NIR imaging, with a particular focus on plastic and reconstructive surgery. By leveraging this strong collaboration of experts, our study aims to solve a longstanding problem in facial reconstructive surgery, namely the noninvasive monitoring of tissue transplants intraoperatively and postoperatively using NIR light. Specific aims include optimization of the SFDI technology to permit real-time imaging (< 1 frame per second) of facial transplants, including correction for the complex geometry of the face, the development of a quantitative optical metric of the transplant status, and validation of the optimized method on large animals approaching the size of humans. Completion of these aims has the potential to revolutionize head and neck surgery, especially facial transplants, by providing critical feedback to surgeons, thus permitting them to identify tissue compromise and prevent complications before they occur.

IC Name
NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH
  • Activity
    R01
  • Administering IC
    DE
  • Application Type
    5
  • Direct Cost Amount
    353957
  • Indirect Cost Amount
    140232
  • Total Cost
    494189
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    121
  • Ed Inst. Type
  • Funding ICs
    NIDCR:494189\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    MEDI
  • Study Section Name
    Medical Imaging Study Section
  • Organization Name
    CURADEL, LLC
  • Organization Department
  • Organization DUNS
    078619242
  • Organization City
    MARLBOROUGH
  • Organization State
    MA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    017523070
  • Organization District
    UNITED STATES