With over 300,000 new cases per year and a mortality rate of approximately 50%, oral cancer is a major global health issue. The stage at diagnosis is the most important predictor of survival, and unfortunately, most patients are diagnosed at a late stage. Oral cancer is preceded by visible mucosal changes which are designated oral potentially malignant disorders (OPMD). Invasive biopsy of oral lesions is the gold standard to diagnose oral dysplasia and cancer, and pathologic diagnosis of dysplasia is the best indicator of risk for oral cancer development. Dysplasia often arises in patients with OPMDs; however, most practitioners lack expertise to distinguish OPMDs from benign lesions. It is difficult even for experts to determine which oral lesions are at highest risk to contain dysplasia and should be biopsied. The goal of this proposal is to develop and validate an Active Biopsy Guidance (ABG) optical imaging system, consisting of an optical mapping scope and a high resolution microscope, to help clinicians determine precisely when and where to biopsy suspicious oral lesions. The ABG system will integrate several optical imaging modalities to non-invasively probe key molecular and morphologic changes associated with the next-generation hallmarks of cancer.
In Aim 1, we will develop a compact optical mapping scope that uses Digital Light Processing technology to capture white light and auto-fluorescence images and actively project onto the oral mucosa a map highlighting areas at high risk for oral dysplasia and cancer based on loss of collagen fluorescence (a signal of invasion and metastasis) and alterations in epithelial NAD(P)H and FAD fluorescence (a signal of de-regulated cellular energetics). The mapping scope will function as the first step in the image guidance sequence, projecting a visible map of high-risk regions on the oral tissue. We will develop tracking algorithms to adjust the projected map to ensure accurate positioning despite patient movement.
In Aim 2, we will develop a low-cost fluorescence and reflectance high resolution microscope capable of imaging nuclear morphology in the oral epithelium (a signal of sustained proliferative signaling, genome instability and mutation) and microvascular density and morphology (a signal of angiogenesis). The high resolution probe will serve as a confirmation modality to improve specificity.
In Aim 3, we will integrate the optical mapping scope and high resolution microscope into a single, compact Active Biopsy Guidance system and validate its ability to provide real-time precise guidance for selection of oral biopsy sites in a study of high-risk patients undergoing surveillance for oral cancer. Combining widefield autofluorescence imaging and high resolution imaging of nuclear and microvessel morphology will provide a biologically directed approach to help clinicians precisely determine where and when to biopsy suspicious oral lesions, achieving both high sensitivity and high specificity. The impact of this research will be to provide interactive imaging technology that will enable earlier detection of oral neoplasia and better patient outcomes addressing a long-standing, significant global health challenge.

Public Health Relevance

Most oral cancers originate as oral potentially malignant disorders (OPMDs). OPMDs affect millions worldwide and are challenging for clinicians to identify and manage, contributing to late stage diagnosis and poor outcomes for oral cancer. The Active Biopsy Guidance imaging system developed here will provide guidance to precisely determine when and where to biopsy tissue at risk for oral neoplasia, allowing early treatment and helping to prevent progression to oral cancer in OPMD patients.

Agency
National Institute of Health (NIH)
Institute
National Institute of Dental & Craniofacial Research (NIDCR)
Type
Research Project (R01)
Project #
5R01DE029590-02
Application #
10114266
Study Section
Imaging Guided Interventions and Surgery Study Section (IGIS)
Program Officer
Melillo, Amanda A
Project Start
2020-02-25
Project End
2025-01-31
Budget Start
2021-02-01
Budget End
2022-01-31
Support Year
2
Fiscal Year
2021
Total Cost
Indirect Cost
Name
Rice University
Department
Biomedical Engineering
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
050299031
City
Houston
State
TX
Country
United States
Zip Code
77005