J Korean Acad Oral Health.  2015 Dec;39(4):259-266. 10.11149/jkaoh.2015.39.4.259.

Evaluation of the validity of Qraycam for tooth examination during epidemiological surveys

• Lee KH
• Kim SH
• Kim DK
• Lee BJ

• KMID: 2151780
• DOI: http://doi.org/10.11149/jkaoh.2015.39.4.259

Abstract

OBJECTIVES
The aim of this study was to evaluate applicability of the Qraycam device for detecting caries and filling body during tooth examinations.
METHODS
Fifty-two subjects aged 25 to 34 years were recruited for tooth examination. Two examiners (an epidemiologic expert and a non-expert) performed visual tooth examination using only dental operating light, dental mirror, and air-drying without a dental explorer. Pictures or videos of every tooth surface were obtained under visual ray and 405 nm blue ray, respectively, by using Qraycam. The two examiners then evaluated these videos or images more than 7 days after visual examination.
RESULTS
The results of the visual, visible ray image, and 405 nm blue ray image examinations showed very good kappa agreement with the gold standard for both examiners. The 405 nm blue ray image examination showed higher kappa agreement than visible ray image examination, and was similar to visual examination. Accuracy of detecting caries was enhanced by using 405 nm blue ray images from Qraycam. Accuracy of detecting filling body on 405 nm blue ray image examination was almost same as that by visual examination.
CONCLUSIONS
Tooth examination with Qraycam images revealed high agreement with the gold standard and showed accuracy for detecting caries and filling body. Therefore, Qraycam would enhance the quality of oral epidemiologic survey including tooth examination and save cost and time of survey.

Keyword

Epidemiological tooth survey; Qraycam; Quantitative Light-Induced Fluorescence; ROC curve; Tooth examination

MeSH Terms

ROC Curve
Tooth*

Figure

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  Fig. 1. ROC curve of caries detection in examiner A.

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  Fig. 2. ROC curve of caries detection in examiner D.

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  Fig. 3. ROC curve of filling body detection in examiner A.

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  Fig. 4. ROC curve of filling body detection in examiner D.

Reference

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