Non-invasive screening for laryngeal cancer using the oral cavity as a proxy for differentiation of laryngeal cancer versus leukoplakia: A novel application of ESS technology and artificial intelligence supported statistical modeling
This pilot study demonstrated ESS technology coupled with AI-assisted statistical modeling, could differentiate between patients with laryngeal leukoplakia versus cancer with good precision, especially with smoking status and anatomic subclassification. If ESS can be utilized in the oral cavity as a non-invasive screening tool for laryngeal cancer, it would greatly facilitate early detection in specialized/non-specialized clinics, and under-resourced regions.
Authors
- Eladio Rodriguez‐Diaz (ORCID: https://orcid.org/0000-0001-7750-9110)
- Pichayut Nithagon
- Irving J. Bigio (ORCID: https://orcid.org/0000-0003-4168-1466)
- Gintas P. Krisciunas (ORCID: https://orcid.org/0000-0001-7083-4279)
- Meena Kishore Sakharkar (ORCID: https://orcid.org/0000-0002-9289-3314)
- LaRee Tracy (ORCID: https://orcid.org/0000-0003-1146-6204)
- Kelly E. Daniels (ORCID: https://orcid.org/0000-0001-6938-512X)
- Gregory A. Grillone (ORCID: https://orcid.org/0000-0002-7243-7522)
- J. Pieter Noordzij
- Leanne Berry
- G Spokas
Institutions
- Boston University (US)
- Boston Medical Center (US)
- University of Georgia (US)
- Augusta University (US)
- Augusta University Health (US)
Publication Details
- Journal
- American Journal of Otolaryngology
- Published
- 2024-12-24
- DOI
- https://doi.org/10.1016/j.amjoto.2024.104581
- Citations
- 2
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- National Institute of Dental and Craniofacial Research