Effects of education and experience on detection of proximal caries on digital radiographs
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Early detection of proximal caries can result in less-invasive treatments. This study aimed to assess the effects of education and experience on accurate detection of proximal caries on digital radiographs.
Third-year and sixth-year dental students, maxillofacial radiology postgraduate students, and general dentists comprised the study population (total, 28). Standard digital bitewing radiographs were obtained for 50 extracted teeth, and evaluated for proximal caries on a monitor. All assessments were performed under ambient light (<50 lux). The teeth were subsequently sectioned into 1-mm-thick slices. After reaching the lesion, it was visually inspected, and then determined for its depth in each slice using a caries detector solution. A four-scale grading system for assessment of lesion depth. These results were considered to be the gold standard, and compared with the opinions of the observers. Data were analyzed using SPSS16 software for kappa, sensitivity, specificity, false-negative, false-positive, negative predictive value, and positive predictive value statistics. The kappa coefficients were used to compare the accuracy of diagnoses of the observers and the extents of involvement of tooth structures.
The diagnostic accuracy for grade I caries was 21.9 % among third-year dental students, 17.4 % among sixth-year dental students, 34.5 % among maxillofacial radiology postgraduate students, and 14.3 % among general dentists. The respective diagnostic accuracies were 16.2, 15.2, 5.7, and 7.6 % for grade II caries and 3.5, 32.1, 25, and 14.2 % for grade III caries.
Although education played a great role in improving caries detection skill, it failed to raise it to an acceptable range.
KeywordsCaries Radiography Education Academic training
This study was part of a thesis (#364) for a DDS degree at Jundishapur University School of Dentistry, and the authors would like to thank the vice chancellor for Research and Technology Development of the university for financial support in the form of a grant (No. U-91218).
Compliance with ethical standards
Conflict of interest
Nasim Shams, Narges Panahandeh, Hilda Aghababa, Bahar Shams, and Ershad Hemati declare that they have no conflict of interest.
This article does not contain any studies with human or animal subjects performed by any of the authors.
- 3.White SC, Pharoah MJ. Oral radiology principles and interpretation. 6th ed. Philadelphia: Elsevier; 2008. p. 78–99, 270–81.Google Scholar
- 8.Heymann HO, Swift EJ Jr, Ritter AV. Sturdevant’s art and science of operative dentistry. 6th ed. Chapel Hill: Mosby; 2013. p. 63–139.Google Scholar
- 13.Abesi F, Mirshekar A, Moudi E, Seyedmajidi M, Haghanifar S, Haghighat N, et al. Diagnostic accuracy of digital and conventional radiography in the detection of non-cavitated approximal dental caries. Iran J Radiol. 2012;9:17–21. doi: 10.5812/iranjradiol.6747.CrossRefPubMedPubMedCentralGoogle Scholar
- 15.Hala LA, Mello JBD, Carvalho PLD. Evaluation of the effectiveness of clinical and radiographic analysis for the diagnosis of proximal caries for different clinical experience levels: comparing lesion depth through histological analysis. Br J Oral Sci. 2006;5:1012–7.Google Scholar