Wide-field OCT imaging of oral lesions in vivo: quantification and classification (Conference Presentation)

Rashika Raizada; Anthony M. D. Lee; Kelly Y. Liu; Calum E. MacAulay; Samson Ng; Catherine F. Poh; Pierre M. Lane

doi:10.1117/12.2256044

19 April 2017 Wide-field OCT imaging of oral lesions in vivo: quantification and classification (Conference Presentation)

Rashika Raizada, Anthony M. D. Lee, Kelly Y. Liu, Calum E. MacAulay, Samson Ng, Catherine F. Poh, Pierre M. Lane

Author Affiliations +

Proceedings Volume 10039, Optical Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology; 100390G (2017) https://doi.org/10.1117/12.2256044
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

Worldwide, there are over 450,000 new cases of oral cancer reported each year. Late-stage diagnosis remains a significant factor responsible for its high mortality rate (>50%). In-vivo non-invasive rapid imaging techniques, that can visualise clinically significant changes in the oral mucosa, may improve the management of oral cancer. We present an analysis of features extracted from oral images obtained using our hand- held wide-field Optical Coherence Tomography (OCT) instrument. The images were analyzed for epithelial scattering, overall tissue scattering, and 3D basement membrane topology. The associations between these three features and disease state (benign, pre-cancer, or cancer), as measured by clinical assessment or pathology, were determined. While scattering coefficient has previously been shown to be sensitive to cancer and dysplasia, likely due to changes in nuclear and cellular density, the addition of basement membrane topology may increase diagnostic ability- as it is known that the presence of bulbous rete pegs in the basement membrane are characteristic of dysplasia. The resolution and field-of-view of our oral OCT system allowed analysis of these features over large areas of up to 2.5mm x 90mm, in a timely fashion, which allow for application in clinical settings.

Conference Presentation

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Rashika Raizada, Anthony M. D. Lee, Kelly Y. Liu, Calum E. MacAulay, Samson Ng, Catherine F. Poh, and Pierre M. Lane "Wide-field OCT imaging of oral lesions in vivo: quantification and classification (Conference Presentation)", Proc. SPIE 10039, Optical Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology, 100390G (19 April 2017); https://doi.org/10.1117/12.2256044

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KEYWORDS

Optical coherence tomography

Cancer

In vivo imaging

Scattering

3D image processing

Feature extraction

Image analysis

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