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The purpose of this study is to validate the ability of the STRATICYTE™ predictive model to predict the transformation of oral potentially malignant disorders (OPMDs) to oral squamous cell carcinoma (OSCC) in a retrospective cohort of patients who received biopsies.
Overall objective of this work is to develop better ways of detecting, diagnosing and measuring oral diseases and structures using light and optical approaches. All different areas of the mouth will be imaged, including healthy, diseased, dysplastic and malignant, as well as oral biofilm, and the imaging data compared against conventional diagnostic approaches such clinical and histopathological and molecular evaluations to (1) gain a better understanding of processes involved in oral pathology and (2) develop a combined patient specific, non-invasive method for the detection, diagnosis and screening of oral pathology and biofilm. Thus our goal is to identify and evaluate microstructural, metabolic, vascular, protein, genomic and metabolomics biomarkers of oral pathology can be used to detect, predict and map oral pathology, especially neoplasia. We are recruiting patients with a wide range of oral conditions including plaque, dry mouth, toothache, root canal treatments, gum disease, oral sores, dysplasia and cancer, autoimmune conditions and others as well as healthy control subjects. We will use a range of non-invasive imaging modalities to obtain information on the ways in which the oral health status affects optical properties, and determine means of detecting and quantifying these factors.. Imaging modalities to be utilized include: 1. Coherence and Doppler Tomography 2. Laser Speckle Imaging 3. Various forms of Spectroscopy 4. Fluorescence