Acknowledgement
This study was supported by AIOBIO, Seoul, Republic of Korea and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2018R1D1A1B07041657).
References
- Fejerskov O, Nyvad B, Kidd E : Dental caries: the disease and its clinical management, 3rd ed. John Wiley & Sons, Chichester, 2015.
- Ekstrand KR, Martignon S, Ricketts DJN, Qvist V : Detection and activity assessment of primary coronal caries lesions: a methodologic study. Oper Dent, 32:225-235, 2007. https://doi.org/10.2341/06-63
- Nyvad B, Machiulskiene V, Baelum V : Construct and predictive validity of clinical caries diagnostic criteria assessing lesion activity. J Dent Res, 82:117-122, 2003. https://doi.org/10.1177/154405910308200208
- Newman B, Seow W, Holcombe T, et al. : Clinical detection of caries in the primary dentition with and without bitewing radiography. Aust Dent J, 54:23-30, 2009. https://doi.org/10.1111/j.1834-7819.2008.01084.x
- Lee JH, Kim DH, Jeong SN, Choi SH : Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm. J Dent, 77:106-111, 2018. https://doi.org/10.1016/j.jdent.2018.07.015
- Stookey GK : Quantitative light fluorescence: a technology for early monitoring of the caries process. Dent Clin, 49:753-770, 2005.
- Van der Veen M, de Jong EdJ : Application of quantitative light-induced fluorescence for assessing early caries lesions. Monogr Oral Sci, 17:144-162, 2000. https://doi.org/10.1159/000061639
- Angmar-Mansson B, Ten Bosch J : Quantitative lightinduced fluorescence (QLF): a method for assessment of incipient caries lesions. Dentomaxillofac Radiol, 30:298-307, 2001. https://doi.org/10.1038/sj/dmfr/4600644
- Ekstrand K, Luna L, Martignon S, et al. : The reliability and accuracy of two methods for proximal caries detection and depth on directly visible proximal surfaces: an in vitro study. Caries Res, 45:93-99, 2011. https://doi.org/10.1159/000324439
- Kim HE, Kwon HK, Kim BI : Recovery percentage of remineralization according to severity of early caries. Am J Dent, 26:132-136, 2013.
- Jallad M, Zero D, Eckert G, Zandona AF : In vitro detection of occlusal caries on permanent teeth by a visual, lightinduced fluorescence and photothermal radiometry and modulated luminescence methods. Caries Res, 49:523-530, 2015. https://doi.org/10.1159/000437214
- Volgenant CM, van der Veen MH, de Soet JJ, ten Cate JM : Effect of metalloporphyrins on red autofluorescence from oral bacteria. Eur J Oral Sci, 121:156-161, 2013. https://doi.org/10.1111/eos.12045
- Kim HE, Kim BI : Analysis of orange/red fluorescence for bacterial activity in initial carious lesions may provide accurate lesion activity assessment for caries progression. J Evid Based Dent Pract, 17:125-128, 2017. https://doi.org/10.1016/j.jebdp.2017.03.010
- Gomez GF, Eckert GJ, Zandona AF : Orange/red fluorescence of active caries by retrospective quantitative lightinduced fluorescence image analysis. Caries Res , 50:295-302, 2016. https://doi.org/10.1159/000441899
- Stookey G : Optical methods-quantitative light fluorescence. J Dent Res, 83:84-88, 2004. https://doi.org/10.1177/154405910408301S17
- Ko HY, Kang SM, Kim BI, et al. : Validation of quantitative light-induced fluorescence-digital (QLF-D) for the detection of approximal caries in vitro. J Dent, 43:568-575, 2015. https://doi.org/10.1016/j.jdent.2015.02.010
- Jung EH, Lee ES, Kim BI, et al. : Development of a fluorescence-image scoring system for assessing noncavitated occlusal caries. Photodiagnosis Photodyn Ther, 21:36-42, 2018. https://doi.org/10.1016/j.pdpdt.2017.10.027
- Diniz MB, Campos PH, Zandona AG, et al. : Performance of light-emitting diode device in detecting occlusal caries in the primary molars. Lasers Med Sci, 34:1235-1241, 2019. https://doi.org/10.1007/s10103-019-02717-4
- Kim ES, Lee ES, Kim BI, et al. : A new screening method to detect proximal dental caries using fluorescence imaging. Photodiagnosis Photodyn Ther, 20:257-262, 2017. https://doi.org/10.1016/j.pdpdt.2017.10.009
- Ismail AI, Pitts NB, Tellez M : The International Caries Classification and Management System (ICCMS™) an example of a caries management pathway. BMC Oral Health, 15 Suppl 1:S9, 2015. https://doi.org/10.1186/1472-6831-15-S1-S9
- Gomez J, Tellez M, Ismail AI, et al. : Non-cavitated carious lesions detection methods: a systematic review. Community Dent Oral Epidemiol, 41:55-66, 2013. https://doi.org/10.1111/cdoe.12021
- Park SW, Kim SK, Kim BI, et al. : Comparison of fluorescence parameters between three generations of QLF devices for detecting enamel caries in vitro and on smooth surfaces. Photodiagnosis Photodyn Ther, 25:142-147, 2019. https://doi.org/10.1016/j.pdpdt.2018.11.019
- Wilson P, Beynon A : Mineralization differences between human deciduous and permanent enamel measured by quantitative microradiography. Arch Oral Biolo, 34:85-88, 1989. https://doi.org/10.1016/0003-9969(89)90130-1
- Pontes LRA, Novaes TF, Mendes FM, et al. : Clinical performance of fluorescence-based methods for detection of occlusal caries lesions in primary teeth. Braz Oral Res, 31:e91, 2017.
- Lennon A, Buchalla W, Stookey GK, et al. : The ability of selected oral microorganisms to emit red fluorescence. Caries Res, 40:2-5, 2006. https://doi.org/10.1159/000088898
- Ando M, Schemehorn B, Guggenheim B, et al. : Influence of enamel thickness on quantification of mineral loss in enamel using laser-induced fluorescence. Caries Res, 37:24-28, 2003. https://doi.org/10.1159/000068229
- Gmur R, Giertsen E, Guggenheim B, et al. : In vitro quantitative light-induced fluorescence to measure changes in enamel mineralization. Clin Oral Investig, 10:187-195, 2006. https://doi.org/10.1007/s00784-006-0058-z
- American Dental Association Council on Scientific Affairs : The use of dental radiographs: update and recommendations. J Am Dent Assoc, 137:1304-1312, 2006. https://doi.org/10.14219/jada.archive.2006.0393