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BMC Oral Health
Published in: BMC Oral Health 1/2018

Open Access 01-12-2018 | Research article

Comparison of caries lesion detection methods in epidemiological surveys: CAST, ICDAS and DMF

Authors: Ana Luiza Sarno Castro, Maria Isabel Pereira Vianna, Carlos Maurício Cardeal Mendes

Published in: BMC Oral Health | Issue 1/2018

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Abstract

Background

Although dental caries is a globally widespread disease, there is no consensus regarding the method that should be used for their detection. In recent decades, a variety of new methods have been proposed for measuring caries in a population. Three caries detection methods, the decayed, missing and filled (DMF) index, the International Caries Detection and Assessment System (ICDAS) and the Caries Assessment Spectrum and Treatment (CAST), were compared to provide information to guide future method choices.

Methods

This was a descriptive, cross-sectional study in which three methods were used to measure caries in students, staff and their dependents at UNEB (State University of Bahia), Salvador, Brazil. We compared the mean application time of each method and the frequencies obtained by each method using the following indicators: the most severe caries lesion per individual; the mean number of missing, filled and decayed teeth; and the disease extent.

Results

The mean time taken to apply the DMF was 3.8 min; for ICDAS, it took 8.9 min, and for CAST, 4.7 min. When calculating the indicator the most severe caries lesion per individual, the prevalence rates were as follows: 28.1% for DMF, 84.0% for ICDAS and 75.0% for CAST. The mean numbers of decayed, missing and filled teeth were 6.0 according to the DMF, 6.2 according to ICDAS and 5.9 according to CAST. When the disease extension indicator was used, the following percentages of teeth were affected by caries: DMF 22.12%, ICDAS 49.11% and CAST 33.2%.

Conclusions

The DMF underestimated the occurrence of caries lesions in individuals but was the fastest method to apply. ICDAS obtained detailed information regarding lesion severity, but it was a time-consuming method and difficult to analyse. CAST described disease distributions very well and identified lesion severities and preventive and curative needs in the examined group, and the time required to apply CAST was similar to that of the DMF.
Appendix
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Literature
1.
Fejerskov O, Kidd E. Dental caries: the disease and its clinical management. Hoboken, NJ: John Wiley & Sons; 2009.
2.
Petersen PE, Bourgeois D, Ogawa H, Estupinan-Day S, Ndiaye C. The global burden of oral diseases and risks to oral health. Bull World Health Organ. 2005;83:661–9.PubMedPubMedCentral
3.
Baelum V, Ole F. How big is the problem? Epidemiological features of dental caries. In: Fejerskov O, Nyvad B, Kidd E, editors. Dental caries: the disease and its clinical management. Oxford, UK: Wiley; 2015. p. 21–41.
4.
Iranzo-Cortés JE, Montiel-company JM, Almerich-Silla JM. Caries diagnosis: agreement between WHO and ICDAS II criteria in epidemiological surveys. Community Dent Health. 2013;30:108–11.PubMed
5.
Melgar RA, Pereira JT, Luz PB, Hugo FN, Araujo FB. Differential impacts of caries classification in children and adults: a comparison of ICDAS and DMF-T. Braz Dent J. 2016;27:761–6.CrossRefPubMed
6.
Mount GJ, Hume WR. A revised classification of carious lesions by site and size. Quintessence Int. 1997;28:301–3.PubMed
7.
Fisher J, Glick M. FDI world dental federation science committee. A new model for caries classification and management: the FDI world dental federation caries matrix. J Am Dent Assoc. 2012;143:546–51.CrossRefPubMed
8.
de Souza AL, Leal SC, Bronkhorst EM, Frencken JE. Assessing caries status according to the CAST instrument and WHO criterion in epidemiological studies. BMC Oral Health. 2014;14:119.CrossRefPubMedPubMedCentral
9.
10.
Castro ALS, Vianna MIP, Reis SR de A. A new index for measuring dental caries: reversible dental caries index-IRCD. Rev Fac Odontol Univ Fed Bahia. 1999;19:35–40.
11.
Ismail AI, Sohn W, Tellez M, Amaya A, Sen A, Hasson H, et al. The international caries detection and assessment system (ICDAS): an integrated system for measuring dental caries. Community Dent Oral Epidemiol. 2007;35:170–8.CrossRefPubMed
12.
Sheiham A, Maizels J, Maizels A. New composite indicators of dental health. Community Dent Health. 1987;4:407–14.PubMed
13.
Monse B, Heinrich-Weltzien R, Benzian H, Holmgren C, Helderman WP. PUFA–an index of clinical consequences of untreated dental caries. Community Dent Oral Epidemiol. 2010;38:77–82.CrossRefPubMed
14.
Frencken JE, de Amorim RG, Faber J, Leal SC. The caries assessment Spectrum and treatment (CAST) index: rational and development. Int Dent J. 2011;61:117–23.CrossRefPubMed
15.
Klein H, Palmer CE, Knutson JW. Studies on dental caries: I. Dental status and dental needs of elementary school children. Public Health Rep. 1938;53:751–65.CrossRef
16.
17.
Baginska J, Rodakowska E, Milewski R, Kierklo A. Dental caries in primary and permanent molars in 7-8-year-old schoolchildren evaluated with caries assessment Spectrum and treatment (CAST) index. BMC Oral Health. 2014;14:74.CrossRefPubMedPubMedCentral
18.
Baginska J, Rodakowska E, Wilczko M, Kierklo A. Caries assessment Spectrum and treatment (CAST) index in the primary molars of 6- to 7-year-old polish children. Oral Health Prev Dent. 2016;14:85–92.PubMed
19.
Anchala K, Challa R, Vadaganadham Y, Kamatham R, Deepak V, Nuvvula S. Assessment of dental caries in primary dentition employing caries assessment spectrum and treatment index. J Orofac Sci. 2016;8:115.CrossRef
20.
21.
de Amorim RG, Figueiredo MJ, Leal SC, Mulder J, Frencken JE. Caries experience in a child population in a deprived area of Brazil, using ICDAS II. Clin Oral Investig. 2012;16:513–20.CrossRefPubMed
22.
Braga MM, Oliveira LB, Bonini GA, Bonecker M, Mendes FM. Feasibility of the international caries detection and assessment system (ICDAS-II) in epidemiological surveys and comparability with standard World Health Organization criteria. Caries Res. 2009;43:245–9.CrossRefPubMed
23.
Ludwig DA. Use and misuse of p-values in designed and observational studies: guide for researchers and reviewers. Aviat Space Environ Med. 2005;76:675–80.PubMed
24.
25.
Topping GVA, Hally JD, Bonner BC, Pitts NB. Training for the international caries detection and assessment system (ICDAS II): CD-room and web-based educational software. London: Smile-on; 2008.
26.
27.
Leal SCFJ, de Souza AL, Bronkhorst EM. Manual CAST: caries assessment and treatment. Ipskamp Drukkers: Holanda; 2015.
28.
(MS) M da S do B. Examiner’s manual. Projeto SB Brasil 2010. In: MS Brasília; 2009.
29.
30.
Leal SC, Ribeiro APD, Frencken JE. Caries assessment Spectrum and treatment (CAST): a novel epidemiological instrument. Caries Res. 2017;51:500–6.CrossRefPubMed
31.
Maltz M, Alves L. S. G S, Moura M. S. Epidemiology of dental caries. In: Cariology: basic concepts, diagnosis and non-restorative treatment. São Paulo: Artes Médicas; 2016. p. 51–64. (ABENO).
32.
Cohen J. Statistical power analysis for the behavioral sciences. Hillsdale NJ: Erlbaum; 1988.
33.
FERGUSON CJ. An effect size primer: a guide for clinicians and researchers. Prof Pathol Res Pract. 2009;40(5):532–8.CrossRef
34.
Silva EMM, Sena D, Gutierres JCM, JHF G. Quantitative analysis of subjectivity: an example of attribute agreement. Curitiba: RAC; 2005. p. 299–310.
35.
Conboy JE. Some typical univariate measures of magnitude of effect. Psychological Analysis. 2012;21:145–58.
36.
Pinto VG. Public Oral Health. 6th ed. Santos: São Paulo; 2013.
Metadata
Title
Comparison of caries lesion detection methods in epidemiological surveys: CAST, ICDAS and DMF
Authors
Ana Luiza Sarno Castro
Maria Isabel Pereira Vianna
Carlos Maurício Cardeal Mendes
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Oral Health / Issue 1/2018
Electronic ISSN: 1472-6831
DOI
https://doi.org/10.1186/s12903-018-0583-6

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