Development of an endoscopic fluorescence image guided OCT probe for oral cancer detection

  • R. J. McNichols
  • , A. Gowda
  • , B. A. Bell
  • , R. M. Johnigan
  • , K. H. Calhoun
  • , M. Motamedi

Research output: Contribution to journalArticlepeer-review

Abstract

Oral squamous cell carcinoma is a disease which progresses through a number of well-defined morphological and biochemical changes. Optical coherence tomography (OCT) is a rapidly-evolving, non-invasive imaging modality which allows detailed probing of subsurface tissue structures with resolution on the order of microns. While this technique offers tremendous potential as a diagnostic tool for detection and characterization of oral cancer, OCT imaging is presently associated with a field of view (FOV) on the order of millimeters, and acquisition time on the order of seconds. Thus, OCT's utility as a rapid cancer screening technique is presently limited. On the other hand, imaging of tissue autofluorescence provides a very rapid, high-throughput method for cancer screening. However, while autofluorescence measures may be sensitive to cancer, they are often non-specific and lead to a large number of false positives. In the present work, we have developed a fluorescence image guided optical coherence tomographic (FIG-OCT) probe in which tissue autofluorescence images are simultaneously used to guide OCT image acquisition of suspicious regions in real time. We have begun preclinical pilot studies with this instrument in a DMBA-induced model of oral cancer in the hamster cheek pouch. Initial results indicate that the FIG-OCT approach shows promise as a rapid and effective tool for screening of oral cancer.

Original languageEnglish (US)
Pages (from-to)23-30
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4254
DOIs
StatePublished - 2001
Externally publishedYes

Keywords

  • Autofluorescence
  • Cancer detection
  • Fluorescence Imaging
  • Optical coherence Tomography

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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