EARLY DIAGNOSIS OF MUCOSAL CANCER BY CONFOCAL SCANNING

Information

  • Research Project
  • 2106224
  • ApplicationId
    2106224
  • Core Project Number
    R43CA064018
  • Full Project Number
    1R43CA064018-01
  • Serial Number
    64018
  • FOA Number
  • Sub Project Id
  • Project Start Date
    5/1/1994 - 30 years ago
  • Project End Date
    4/30/1995 - 29 years ago
  • Program Officer Name
  • Budget Start Date
    5/1/1994 - 30 years ago
  • Budget End Date
    4/30/1995 - 29 years ago
  • Fiscal Year
    1994
  • Support Year
    1
  • Suffix
  • Award Notice Date
    4/6/1994 - 30 years ago
Organizations

EARLY DIAGNOSIS OF MUCOSAL CANCER BY CONFOCAL SCANNING

Tumors originating in the mucosa account for more than half of all cancer deaths in the US, therefore, early detection is important. We propose applying a novel technique to real-time diagnosis and assessment of precancerous growth and early cancer of the mucosa, by measuring its fluorescence independently of the much stronger submucosal fluorescence. Fluorescence and scattering measurements of the lining of body cavities show promise for early detection of mucosal cancer. Unfortunately, the mucosal signature is obscured thicknesses of 25micro to 150micro, a new confocal arrangement, can substantially reduce submucosal interference. It thus has the potential for reliable and robust early diagnosis, while the lesions are still wholly mucosal and invisible to the unaided eye. After testing in phantoms, we will measure fluorescence and backscattered excitation light in a well-characterized rat model of bladder cancer and correlate the results against histopathology. This will test VPM as the basis of a clinically useful diagnostic tool to be built and tested in Phase 2. We will also compare its performance to existing fluorescence techniques.

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    R43
  • Administering IC
    CA
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    393
  • Ed Inst. Type
  • Funding ICs
  • Funding Mechanism
  • Study Section
    ZRG7
  • Study Section Name
  • Organization Name
    MEDISPECTRA, INC.
  • Organization Department
  • Organization DUNS
  • Organization City
    LEXINGTON
  • Organization State
    MA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    02421
  • Organization District
    UNITED STATES