Literature DB >> 18601563

Fluorescence spectroscopy for the detection of tongue carcinoma--validation in an animal model.

Cristina Kurachi1, Carla R Fontana, Luiz E B Rosa, Vanderlei S Bagnato.   

Abstract

The efficacy of fluorescence spectroscopy to detect squamous cell carcinoma is evaluated in an animal model following laser excitation at 442 and 532 nm. Lesions are chemically induced with a topical DMBA application at the left lateral tongue of Golden Syrian hamsters. The animals are investigated every 2 weeks after the 4th week of induction until a total of 26 weeks. The right lateral tongue of each animal is considered as a control site (normal contralateral tissue) and the induced lesions are analyzed as a set of points covering the entire clinically detectable area. Based on fluorescence spectral differences, four indices are determined to discriminate normal and carcinoma tissues, based on intraspectral analysis. The spectral data are also analyzed using a multivariate data analysis and the results are compared with histology as the diagnostic gold standard. The best result achieved is for blue excitation using the KNN (K-nearest neighbor, a interspectral analysis) algorithm with a sensitivity of 95.7% and a specificity of 91.6%. These high indices indicate that fluorescence spectroscopy may constitute a fast noninvasive auxiliary tool for diagnostic of cancer within the oral cavity.

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Year:  2008        PMID: 18601563     DOI: 10.1117/1.2937214

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  4 in total

1.  Experimental validation of an inverse fluorescence Monte Carlo model to extract concentrations of metabolically relevant fluorophores from turbid phantoms and a murine tumor model.

Authors:  Chengbo Liu; Narasimhan Rajaram; Karthik Vishwanath; Tony Jiang; Gregory M Palmer; Nirmala Ramanujam
Journal:  J Biomed Opt       Date:  2012-07       Impact factor: 3.170

2.  Photonic Crystal-Enhanced Fluorescence Imaging Immunoassay for Cardiovascular Disease Biomarker Screening with Machine Learning Analysis.

Authors:  Kenneth J Squire; Yong Zhao; Ailing Tan; Kundan Sivashanmugan; Joseph A Kraai; Gregory L Rorrer; Alan X Wang
Journal:  Sens Actuators B Chem       Date:  2019-03-29       Impact factor: 7.460

3.  Raman spectral post-processing for oral tissue discrimination - a step for an automatized diagnostic system.

Authors:  Luis Felipe C S Carvalho; Marcelo Saito Nogueira; Lázaro P M Neto; Tanmoy T Bhattacharjee; Airton A Martin
Journal:  Biomed Opt Express       Date:  2017-10-24       Impact factor: 3.732

Review 4.  Exciting new advances in oral cancer diagnosis: avenues to early detection.

Authors:  Ravi Mehrotra; Dwijendra K Gupta
Journal:  Head Neck Oncol       Date:  2011-07-28
  4 in total

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