Real-time detection of dental calculus by blue-LED-induced fluorescence spectroscopy
Autor: | L.J. Bi, Y.L. Qin, Z. Lü, Zhiguo Zhang, C. N. Zhou, G. Somesfalean, X. L. Luan, Y. Q. Sheng |
---|---|
Rok vydání: | 2007 |
Předmět: |
Radiation
Light Radiological and Ultrasound Technology Calculus (dental) Biophysics medicine.disease Sensitivity and Specificity Fluorescence spectroscopy stomatognathic diseases Autofluorescence Spectrometry Fluorescence Light source stomatognathic system medicine Calculus Humans Dental Calculus Radiology Nuclear Medicine and imaging Statistical analysis Tooth Physiological saline Software Mathematics |
Zdroj: | Journal of Photochemistry and Photobiology B: Biology. 87:88-94 |
ISSN: | 1011-1344 |
DOI: | 10.1016/j.jphotobiol.2007.03.002 |
Popis: | Successful periodontal therapy requires sensitive techniques to discriminate dental calculus from healthy teeth. The aim of the present study was to develop a fluorescence-based procedure to enable real-time detection and quantification of dental calculus. Thirty human teeth--15 teeth with sub- and supragingival calculus and 15 healthy teeth--covered with a layer of physiological saline solution or blood were illuminated by a focused blue LED light source of 405 nm. Autofluorescence spectra recorded along a randomly selected line stretching over the crown-neck-root area of each tooth were utilized to evaluate a so called calculus parameter R, which was selected to define a relationship between the integrated intensities specific for healthy teeth and for calculus in the 477-497 nm (S(A)) and 628-685 nm (S(B)) wavelength regions, respectively. Statistical analysis was performed and a cut-off threshold of R=0.2 was found to distinguish dental calculus from healthy teeth with 100% sensitivity and specificity under various experimental conditions. The results of the spectral evaluation were confirmed by clinical and histological findings. Automated real-time detection and diagnostics for clinical use were implemented by a corresponding software program written in Visual Basic language. The method enables cost-effective and reliable calculus detection, and can be further developed for imaging applications. |
Databáze: | OpenAIRE |
Externí odkaz: |