Jayaraj L. Jayanthi
Centre for Earth Science Studies
13 Papers
100 Citations
Jayaraj L. Jayanthi is an academic researcher from Centre for Earth Science Studies. The author has contributed to research in topics: Autofluorescence & Carious teeth. The author has an hindex of 8, co-authored 13 publications. Previous affiliations of Jayaraj L. Jayanthi include Regional Cancer Center, Thiruvananthapuram.
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Papers
Discriminant analysis of autofluorescence spectra for classification of oral lesions in vivo.
Jayaraj L. Jayanthi,Rupananda J. Mallia,Sara Thomas Shiny,Kamalsanan V. Baiju,Anitha Mathews,Rejnish Kumar,Paul Sebastian,Jayaprakash Madhavan,G. N. Aparna,Narayanan Subhash +9 more
TL;DR: This study evaluates the potential of a multivariate statistical algorithm to classify oral mucosa from autofluorescence spectral features recorded in vivo.
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Comparative evaluation of the diagnostic performance of autofluorescence and diffuse reflectance in oral cancer detection: a clinical study
TL;DR: Autofluorescence and diffuse reflectance spectroscopic techniques have shown good diagnostic accuracies for noninvasive detection of oral cavity cancer and their discrimination efficiency was determined from the area under the receiver operator characteristic (AUC‐ROC) curve.
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Diagnostic accuracy of diffuse reflectance imaging for early detection of pre-malignant and malignant changes in the oral cavity: a feasibility study
Manju Stephen,Jayaraj L. Jayanthi,Nisha G Unni,Philip E Kolady,VT Beena,Panniyammakal Jeemon,Panniyammakal Jeemon,Narayanan Subhash +7 more
TL;DR: DR imaging is found to be very effective as a screening tool in locating the potentially malignant areas of oral lesions with relatively good diagnostic accuracy while comparing it to the gold standard histopathology.
Clinical trial for detection of dental caries using laser-induced fluorescence ratio reference standard
Shiny Sara Thomas,Soumyakant Mohanty,Jayaraj L. Jayanthi,Jolly Mary Varughese,Anitha Balan,Narayanan Subhash +5 more
TL;DR: A diagnostic algorithm based on FRRS scatter plots is observed that a diagnostic algorithm is able to discriminate enamel caries from sound teeth, dentinalCaries fromsound teeth, and enamel from dentinal caries with overall sensitivities of 85, 100, and 88% and specificities of 90,100, and 77%, respectively.
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Detection and quantification of dental plaque based on laser-induced autofluorescence intensity ratio values
Betsy Joseph,Chandra Sekhar Prasanth,Chandra Sekhar Prasanth,Jayaraj L. Jayanthi,Janam Presanthila,Narayanan Subhash +5 more
TL;DR: The diagnostic algorithm developed based on fluorescence spectral intensity ratio (F510/F630) would be useful to precisely identify minute amounts of plaque without the need for disclosing solutions and to convince patients of theneed for proper oral hygiene and homecare practices.
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