Approximately 35,000 patients in the United States are diagnosed annually with cancer of the oral cavity, and 7,500 Americans die of this disease each year. The long-term goal of this research is to design, construct, and test a novel multiresolution fiber optic endoscope combining wide-field fluorescence lifetime imaging (FLIM) and reflectance confocal microscopy (RCM) to achieve unprecedented sensitivity and specificity of epithelial precancers in vivo. Subcellular resolution and the associated computational framework will enable interpretation of the resulting images to yield diagnostic information based on physiological, biochemical, and morphologic changes. The specific goal of this proposal is to apply the resulting multiresolution FLIM-RCM system to detect oral precancer.
The specific aims of this proposal are to: 1) construct a bench-top multiresolution FLIM-RCM system to demonstrate the capability of FLIM-RCM to characterize normal, dysplastic, and cancerous tissue;2) design and construct a fiber-based handheld FLIM-RCM probe for in vivo imaging of oral precancer and cancer;3) optimize the sensitivity and specificity of FLIM-RCM for early detection of oral cancer;and 4) demonstrate the capability of FLIM-RCM to detect epithelial precancer in vivo. The successful completion of this work will enable the development of the first fiber-based multiresolution FLIM-RCM system for tissue characterization and will demonstrate its potential for non-invasive optical detection of oral premalignant and malignant lesions. This novel technology has significant potential to become a clinical diagnostic and screening tool, a navigation system for guiding standard biopsy and surgical intervention, and a tool for quantitative evaluation of responses to current and novel chemopreventive and therapeutic interventions. Although this proposal is focused on the detection of oral precancer, the imaging system and algorithms developed will be generally applicable to many of the cancers of the epithelium (e.g., cervix, colon, rectum, and bladder).

Public Health Relevance

Approximately 35,000 patients in the United States are diagnosed annually with cancer of the oral cavity, and 7,500 Americans die of this disease each year. The relative five-year survival rate for patients diagnosed with oral cancer drops from 82% when detected early at the local stage to 27% when detected after distant metastasis. Early detection is thus critical. The goal of the proposed research is to develop a novel optical imaging tool to improve early detection of precancerous lesions in the oral cavity. Narrative Approximately 35,000 patients in the United States are diagnosed annually with cancer of the oral cavity, and 7,500 Americans die of this disease each year. The relative five-year survival rate for patients diagnosed with oral cancer drops from 82% when detected early at the local stage to 27% when detected after distant metastasis. Early detection is thus critical. The goal of the proposed research is to develop a novel optical imaging tool to improve early detection of precancerous lesions in the oral cavity.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA138653-05
Application #
8709817
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Nordstrom, Robert J
Project Start
2010-08-01
Project End
2015-07-31
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
5
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Texas Engineering Experiment Station
Department
Biomedical Engineering
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
City
College Station
State
TX
Country
United States
Zip Code
77845
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Malik, Bilal H; Lee, Joohyung; Cheng, Shuna et al. (2016) Objective Detection of Oral Carcinoma with Multispectral Fluorescence Lifetime Imaging In Vivo. Photochem Photobiol 92:694-701
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Harris, Meagan A; Van, Andrew N; Malik, Bilal H et al. (2015) A pulse coupled neural network segmentation algorithm for reflectance confocal images of epithelial tissue. PLoS One 10:e0122368

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