Machine-learning driven automated discrimination of precancerous and cancerous from benign oral lesions using multispectral autofluorescence imaging endoscopy

Elvis Duran; Shuna Cheng; Rodrigo Cuenca; Beena Ahmed; Jim Ji; Vladislav V. Yakovlev; Mathias Martinez; Moustafa Al-Khalil; Hussain Al-Enazi; Y.S. Lisa Cheng; John Wright; Carlos Busso; Javier Jo

doi:10.1117/12.2608843

7 March 2022 Machine-learning driven automated discrimination of precancerous and cancerous from benign oral lesions using multispectral autofluorescence imaging endoscopy

Elvis Duran, Shuna Cheng, Rodrigo Cuenca, Beena Ahmed, Jim Ji, Vladislav V. Yakovlev, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Y.S. Lisa Cheng, John Wright, Carlos Busso, Javier Jo

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Proceedings Volume PC11935, Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2022; PC1193507 (2022) https://doi.org/10.1117/12.2608843
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Multispectral autofluorescence endoscopy is a non-invasive optical imaging modality that can provide contrast between malignant and benign oral tissue. We hypothesized that discrimination of cancerous and precancerous from benign oral lesions can be achieved through machine-learning (ML) models developed with multispectral autofluorescence intensity features. In vivo multispectral autofluorescence endoscopic images of benign, precancerous, and cancerous oral lesions were acquired from 67 patients and used to optimize ML models for discrimination between cancerous/precancerous and benign lesions. This study demonstrates the potentials of a ML-assisted system based on multispectral autofluorescence endoscopy for automated discrimination of cancerous and precancerous from benign oral lesions.

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Elvis Duran, Shuna Cheng, Rodrigo Cuenca, Beena Ahmed, Jim Ji, Vladislav V. Yakovlev, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Y.S. Lisa Cheng, John Wright, Carlos Busso, and Javier Jo "Machine-learning driven automated discrimination of precancerous and cancerous from benign oral lesions using multispectral autofluorescence imaging endoscopy", Proc. SPIE PC11935, Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2022, PC1193507 (7 March 2022); https://doi.org/10.1117/12.2608843

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KEYWORDS

Endoscopy

Multispectral imaging

Auto-fluorescence imaging

Cancer

Biopsy

In vivo imaging

Optical imaging

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