Presentation
13 March 2024 Widefield multispectral imaging to evaluate spectral biomarkers associated with oral epithelial dysplasia and squamous cell carcinoma in a hamster buccal model and human clinical samples
Author Affiliations +
Abstract
Head and neck cancers are the 16th most prevalent globally, and survival relies on early detection. Widefield autofluorescence (WFAF) shows potential for identifying neoplastic sites but lacks specificity. We investigate multispectral WFAF imaging to identify spectral features from endogenous biomarkers in native and neoplastic oral mucosa, using a DMBA-treated hamster buccal pouch model, with the aim to increase specificity. Spatially resolved spectra revealed variations between nonneoplastic and neoplastic areas. Analyses will compare spectral features in benign, dysplastic, and carcinoma sites from preclinical animal model and human tissues. Refinements in the red/green WFAF approach, by analyzing spectral features, are considered.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paula Villarreal, Suimin Qiu, Orly Coblens, Tyler Peterson, Bofan Song, Xingde Li, Rongguang Liang, and Gracie Vargas "Widefield multispectral imaging to evaluate spectral biomarkers associated with oral epithelial dysplasia and squamous cell carcinoma in a hamster buccal model and human clinical samples", Proc. SPIE PC12818, Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2024, (13 March 2024); https://doi.org/10.1117/12.3003202
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KEYWORDS
Multispectral imaging

Tumor growth modeling

Statistical modeling

Cancer detection

Autofluorescence

Tissues

Light emitting diodes

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