Real-time tissue classification in stomach and oesophageal cancer based on optical tracking of a diffuse reflectance spectroscopy probe

Ioannis Gkouzionis; Scarlet Nazarian; Michal Kawka; Ara Darzi; Nisha Patel; Christopher Peters; Daniel Elson

doi:10.1117/12.2608431

9 March 2022 Real-time tissue classification in stomach and oesophageal cancer based on optical tracking of a diffuse reflectance spectroscopy probe

Ioannis Gkouzionis, Scarlet Nazarian, Michal Kawka, Ara Darzi, Nisha Patel, Christopher Peters, Daniel Elson

Author Affiliations +

Proceedings Volume PC11949, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XX; PC119490B (2022) https://doi.org/10.1117/12.2608431
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Cancers of the upper gastrointestinal (GI) tract remain a major contributor to the global cancer risk. This study uses a diffuse reflectance spectroscopic probe for tissue characterisation. Optical tracking of the DRS probe is used to aid histology correlation. Supervised classification algorithms are used for discrimination between tumour and non-tumour tissue and evaluated in terms of accuracy, sensitivity, specificity, and the area under the curve. A live augmented view with all the tracked and classified biopsy sites is presented, providing visual feedback to the surgeons. Thus, the system provides real-time tissue discrimination, whilst clinical outcomes for patients are optimised.

Conference Presentation

Citation Download Citation

Ioannis Gkouzionis, Scarlet Nazarian, Michal Kawka, Ara Darzi, Nisha Patel, Christopher Peters, and Daniel Elson "Real-time tissue classification in stomach and oesophageal cancer based on optical tracking of a diffuse reflectance spectroscopy probe", Proc. SPIE PC11949, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XX, PC119490B (9 March 2022); https://doi.org/10.1117/12.2608431

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