Autofluorescence lifetime imaging endoscopy for automated label-free early detection of oral epithelial cancer and dysplasia (Conference Presentation)

Javier A. Jo; Shuna Cheng; Rodrigo Cuenca; Elvis Duran; Bilal Malik; Beena Ahmed; Yi-Shing Lisa Cheng; John Wright; Kristen Maitland

doi:10.1117/12.2290950

14 March 2018 Autofluorescence lifetime imaging endoscopy for automated label-free early detection of oral epithelial cancer and dysplasia (Conference Presentation)

Javier A. Jo, Shuna Cheng, Rodrigo Cuenca, Elvis Duran, Bilal Malik, Beena Ahmed, Yi-Shing Lisa Cheng, John Wright, Kristen Maitland

Author Affiliations +

Proceedings Volume 10469, Optical Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2018; 104690N (2018) https://doi.org/10.1117/12.2290950
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

Despite the fact that the oral cavity is easily accessible, only ~30% of oral cancers are diagnosed at an early stage, which is the main factor attributed to the low 5-year survival rate (63%) of oral cancer patients. Several screening tools for oral cancer have been commercially available; however, none of them have been demonstrated to have sufficient sensitivity and specificity for early detection of oral cancer and dysplasia. We hypothesized that an array of biochemical and metabolic biomarkers for oral cancer and dysplasia can be quantified by endogenous fluorescence lifetime imaging (FLIM), thus enabling levels of sensitivity and specificity adequate for early detection of oral cancer and dysplasia. Our group has recently developed multispectral FLIM endoscopes to image the oral cavity with unprecedented imaging speed (>2fps). We have also performed an in vivo pilot study, in which endogenous multispectral FLIM images were acquired from clinically suspicious oral lesions of 70 patients undergoing tissue biopsy. The results from this pilot study indicated that mild-dysplasia and early stage oral cancer could be detected from benign lesions using a computed aided diagnosis (CAD) system developed based on biochemical and metabolic biomarkers that could be quantified from endogenous multispectral FLIM images. The diagnostic performance of this novel FLIM based clinical tool was estimated using a cross-validation approach, showing levels of sensitivity >90%, specificity >80%, and Area Under the Receiving Operating Curve (RO- AUC) >0.9. Future efforts are focused on developing cost-effective FLIM endoscopes and validating this novel clinical tool in prospective multi-center clinical studies.

Conference Presentation

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Javier A. Jo, Shuna Cheng, Rodrigo Cuenca, Elvis Duran, Bilal Malik, Beena Ahmed, Yi-Shing Lisa Cheng, John Wright, and Kristen Maitland "Autofluorescence lifetime imaging endoscopy for automated label-free early detection of oral epithelial cancer and dysplasia (Conference Presentation)", Proc. SPIE 10469, Optical Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2018, 104690N (14 March 2018); https://doi.org/10.1117/12.2290950

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KEYWORDS

Cancer

Fluorescence lifetime imaging

Computer aided diagnosis and therapy

Diagnostics

Endoscopes

Endoscopy

Multispectral imaging

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