Evaluation of a Multispectral Vision Enhancement System for Assessment of Oral Mucosal Lesions

NCT00502580 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 45

Last updated 2012-07-30

No results posted yet for this study

Summary

To obtain data to evaluate whether multispectral digital imaging can assist clinicians to screen for premalignant lesions in the oral cavity. Our system will illuminate tissue with monochromatic light to excite fluorescence, and polarized white light to generate reflectance, exposing abnormalities for real time, clinical diagnosis.

Primary Objectives:

1. To compare fluorescence images of oral mucosa lesions, obtained at 350 nm, 380 nm, 400 nm, and 450 nm excitation, to standard white light images and pathologic analysis of biopsied tissue.
2. To compare reflectance images of oral mucosa lesion, obtained using broadband polarized light, to standard white light images and pathologic analysis of biopsied tissue.
3. To develop algorithms to discriminate between normal and abnormal tissue
4. To analyze images to determine which type of optical information (or combination thereof) yields the most diagnostically useful data

Conditions

  • Oral Cancer

Interventions

BEHAVIORAL

Interview

Interview taking about 10 minutes to complete.

Sponsors & Collaborators

  • National Institutes of Health (NIH)

    collaborator NIH
  • National Institute of Dental and Craniofacial Research (NIDCR)

    collaborator NIH
  • M.D. Anderson Cancer Center

    lead OTHER

Principal Investigators

  • Ann M. Gillenwater, MD · M.D. Anderson Cancer Center

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2005-07-31
Primary Completion
2008-03-31
Completion
2008-03-31

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT00502580 on ClinicalTrials.gov