title: Objective Detection of Oral Carcinoma with Multispectral Fluorescence Lifetime Imaging In Vivo.
abstract: Successful early detection and demarcation of oral carcinoma can greatly impact the associated morbidity and mortality rates. Current methods for detection of oral cancer include comprehensive visual examination of the oral cavity, typically followed by tissue biopsy. A noninvasive means to guide the clinician in making a more objective and informed decision toward tissue biopsy can potentially improve the diagnostic yield of this process. To this end, we investigate the potential of fluorescence lifetime imaging (FLIM) for objective detection of oral carcinoma in the hamster cheek pouch model of oral carcinogenesis in vivo. We report that systematically selected FLIM features can differentiate between low-risk (normal, benign and low-grade dysplasia) and high-risk (high-grade dysplasia and cancer) oral lesions with sensitivity and specificity of 87.26% and 93.96%, respectively. We also show the ability of FLIM to generate "disease" maps of the tissue which can be used to evaluate relative risk of neoplasia. The results demonstrate the potential of multispectral FLIM with objective image analysis as a noninvasive tool to guide comprehensive oral examination.
authors: Department of Biomedical Engineering, Texas A&M University, College Station, TX. bilal.malik@qtultrasound.com.|QT Ultrasound Labs, Novato, CA. bilal.malik@qtultrasound.com.
authors: Bilal H
authors: BH
authors: Malik
authors: Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX.
authors: Joohyung
authors: J
authors: Lee
authors: Department of Biomedical Engineering, Texas A&M University, College Station, TX.
authors: Shuna
authors: S
authors: Cheng
authors: Department of Biomedical Engineering, Texas A&M University, College Station, TX.
authors: Rodrigo
authors: R
authors: Cuenca
authors: Department of Biomedical Engineering, Texas A&M University, College Station, TX.
authors: Joey M
authors: JM
authors: Jabbour
authors: Department of Diagnostic Sciences, Texas A&M Health Science Center - Baylor College of Dentistry, Dallas, TX.
authors: Yi-Shing Lisa
authors: YS
authors: Cheng
authors: Department of Diagnostic Sciences, Texas A&M Health Science Center - Baylor College of Dentistry, Dallas, TX.
authors: John M
authors: JM
authors: Wright
authors: Department of Electrical and Computer Engineering, Texas A&M University at Qatar, Doha, Qatar.
authors: Beena
authors: B
authors: Ahmed
authors: Department of Biomedical Engineering, Texas A&M University, College Station, TX.
authors: Kristen C
authors: KC
authors: Maitland
authors: Department of Biomedical Engineering, Texas A&M University, College Station, TX.
authors: Javier A
authors: JA
authors: Jo
mesh_terms: D000818:Animals; D002610:Cheek / Q000000981:diagnostic imaging* / Q000473:pathology; D006224:Cricetinae; D006801:Humans; D009062:Mouth Neoplasms / Q000000981:diagnostic imaging*; D061848:Optical Imaging