ISSN : 0376-4672
Purpose: The aim of this study was to confirm the validity of the CariviewTM‚ test in adults by assessing correlations between CariviewTM‚ scores and caries experience using a quantitative light-induced fluorescence (QLF) technique. Methods: This retrospective cross-sectional study included 111 patients aged 19-64 years who visited a dental clinic in Seoul from 2015 to 2016, and underwent the CariviewTM‚ test and had their teeth photographed with the Qraycam. Plaque was scraped with sterilized cotton swabs, and then placed in a culture medium and incubated at 37°C for 48 h. Finally, the degree of color change was evaluated, and scored on a 0-100 point scale. Caries experience index included not only cavitated lesions but also early caries that were detected on white and fluorescence images. Participants were divided into low, moderate and high caries risk groups according to the CariviewTM‚ score, and caries experience was compared between risk groups using ANCOVA. Spearman correlation coefficients were calculated to analyze the associations between CariviewTM‚ scores and caries indices. Result: The mean age of the participants was 40 years, and the mean CariviewTM‚ score was 53.6 20.7. The WDMFT and the DMFT indices significantly increased with caries risk, and this increase was significantly different between the low- and high-risk groups. The CariviewTM‚ test scores were significantly correlated with the WDMFT (r = 0.28, P = 0.003) and DMFT (r = 0.29, P = 0.002) indices. Conclusion: The CariviewTM‚ test could be a clinically useful and simple method for assessing caries risk in adults.
1. Rethman J. Trends in preventive care: caries risk assessment and indications for sealants. J Am Dent Assoc 2000; 131, Supplement 1:8S-12S
2. Campus G, Cagetti MG, Sale S, et al. Cariogram validity in schoolchildren: a two-year follow-up study. Caries Res 2012; 46(1):16-22
3. Takahashi N, Nyvad B. Caries ecology revisited:microbial dynamics and the caries process. Caries Res 2008; 42(6):409-418
4. Kim HJ, Jeong KY, Park JI. Evaluation of saliva and cariogenic activity in patients with hematologic malignancy. Journal of Korean society of Dental Hygiene 2013; 13(3):509-515
5. Min JH, Yoon HC, Kim JK, et al. Assessment of acidogenic potential for dental biofilms by periodontal health condition. Journal of dental hygiene science 2015; 15(2):202-208
6. Cho SH, Lee HS, Choi BJ, et al. Correlation between caries experience and new colorimetric caries activity test in children. The Korean Academy of Pediatric Dentistry 2015; 42(1):30-37
7. Lee HS, Lee ES, Kang SM, et al. Clinical assessment of a new caries activity test using dental plaque acidogenicity in children under three years of age. J Clin Pediatr Dent 2016; 40(5):388-392
8. Lee SY, Lim SR, Bae HS. Applicability evaluation of quantitative light-induced fluorescence-digital and cariview in cries prediction study. J Dent Hyg Sci 2013; 13(4):403-409
9. Jung EH, Lee ES, Kang SM, et al. Assessing the clinical validity of a new caries activity test using dental plaque acidogenicity. J Korean Acad Oral Health 2014; 38(2):77
10. Organization WH. Oral health surveys: basic methods: World Health Organization, 2013.
11. Nishikawara F, Katsumura S, Ando A, et al. Correlation of cariogenic bacteria and dental caries in adults. J Oral Sci 2006; 48(4):245-251
12. Pannu P, Gambhir R, Sujlana A. Correlation between the salivary Streptococcus mutans levels and dental caries experience in adult population of Chandigarh, India. Eur J Dent 2013; 7(2):191-195
13. Kang SM, Jung HI, Jeong SH, et al. Development of a new color scale for a caries activity test. J Korean Acad Oral Health 2010; 34(1):9-17
14. Jablonski-Momeni A, Stachniss V, Ricketts DN, et al. Reproducibility and accuracy of the ICDAS-II for detection of occlusal caries in vitro. Caries Res 2008; 42(2):79-87
15. Bernabe E, Sheiham A. Age, period and cohort trends in caries of permanent teeth in four developed countries. Am J Public Health 2014; 104(7):e115-121
16. Hänsel Petersson G, Fure S, Bratthall D. Evaluation of a computer-based caries risk assessment program in an elderly group of individuals. Acta Odontologica Scandinavica 2003; 61(3):164-171
17. Hänsel Petersson G, Twetman S, Bratthall D. Evaluation of a computer program for caries risk assessment in schoolchildren. Caries Res 2002; 36(5):327-340
18. Lee KH, Kim SH, Kim DK, Lee BJ. Evaluation of the validity of Qraycam for tooth examination during epidemiological surveys. J Korean Acad Oral Health 2015; 39(4):259
19. Boye U, Pretty IA, Tickle M, Walsh T. Comparison of caries detection methods using varying numbers of intra-oral digital photographs with visual examination for epidemiology in children. BMC Oral Health 2013; 13:6
20. Morosini Ide A, de Oliveira DC, Ferreira Fde M, et al. Performance of distant diagnosis of dental caries by teledentistry in juvenile offenders. Telemed J E Health 2014; 20(6):584-589
21. Gholston LR. Reliability of an intraoral camera:utility for clinical dentistry and research. Am J Orthod 1984; 85(1):89-93
22. Stookey GK. Quantitative light fluorescence: a technology for early monitoring of the caries process. Dent Clin North Am 2005; 49(4):753-770
23. Ko HY, Kang SM, Kim HE, et al. Validation of quantitative light-induced fluorescence-digital (QLFD)for the detection of approximal caries in vitro. J Dent 2015; 43(5):568-575
24. Forgie AH, Pine CM, Pitts NB. The assessment of an intra-oral video camera as an aid to occlusal caries detection. Int Dent J 2003; 53(1):3-6
25. Hallett KB, O'Rourke PK. Baseline dental plaque activity, mutans streptococci culture, and future caries experience in children. Pediatr Dent 2013; 35(7):523-528
26. Beighton D, Adamson A, Rugg-Gunn A. Associations between dietary intake, dental caries experience and salivary bacterial levels in 12-yearold english schoolchildren. Arch Oral Biol 1996; 41(3):271-280
27. Toi CS, Cleaton-Jones PE, Daya NP. Mutans streptococci and other caries-associated acidogenic bacteria in five-year-old children in South Africa. Oral Microbiol Immunol 1999; 14(4):238-243
