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Spectroscopic Detection of Caries Lesions
Author(s) -
Mika Ruohonen,
Katri Palo,
Jarmo T. Alander
Publication year - 2013
Publication title -
journal of medical engineering
Language(s) - English
Resource type - Journals
eISSN - 2314-5137
pISSN - 2314-5129
DOI - 10.1155/2013/161090
Subject(s) - enamel paint , false positive paradox , lesion , dentistry , diffuse reflectance infrared fourier transform , medicine , carious lesion , pathology , artificial intelligence , computer science , chemistry , biochemistry , photocatalysis , catalysis
Background . A caries lesion causes changes in the optical properties of the affected tissue. Currently a caries lesion can be detected only at a relatively late stage of development. Caries diagnosis also suffers from high interobserver variance. Methods . This is a pilot study to test the suitability of an optical diffuse reflectance spectroscopy for caries diagnosis. Reflectance visible/near-infrared spectroscopy (VIS/NIRS) was used to measure caries lesions and healthy enamel on extracted human teeth. The results were analysed with a computational algorithm in order to find a rule-based classification method to detect caries lesions. Results . The classification indicated that the measured points of enamel could be assigned to one of three classes: healthy enamel, a caries lesion, and stained healthy enamel. The features that enabled this were consistent with theory. Conclusions . It seems that spectroscopic measurements can help to reduce false positives at in vitro setting. However, further research is required to evaluate the strength of the evidence for the method's performance.

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