Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging
MetadataShow full item record
Endogenous fluorescence lifetime imaging microscopy (FLIM) provides a nondestructive means to interrogate the biochemical composition of biological tissues. Therefore, it has the potential to identify tissue pre-malignant and malignant transformation. In this study, we evaluate the potential of endogenous FLIM for detecting benign oral lesions from pre-malignant and malignant oral lesions. Using a database of FLIM images (n=20) obtained in vivo from the oral cavity of patients undergoing tissue biopsy, we were able to identify specific features from the characteristic FLIM signal of benign, mild dysplastic, and cancerous oral lesions. These features were used to train statistical classification rules aimed to detect benign lesions from either dysplastic and cancerous lesions. Our results indicated that dysplastic and cancerous lesions could be detected from benign lesions with sensitivity of ~89% and specificity of ~95%. Our future efforts are focused on further developing our classification algorithms with additional FLIM in vivo data.
Subjectendogenous fluorescence lifetime imaging microscopy
Hwang, Dae Yon (2016). Detection of In vivo Oral Epithelial Cancer using Fluorescence Lifetime Imaging. Master's thesis, Texas A&M University. Available electronically from