IADR Abstract Archives

Operator’s Accuracy Of Caries Detection By Visual-tactile Method In Malaysia

Objectives: This study is conducted to determine the accuracy of visual-tactile method in diagnosing early occlusal caries lesion by dental practitioners in Malaysia.
Methods: Fourteen posterior teeth were selected as samples for the assessment by 95 respondents from 9 different states randomly which diagnosed each tooth as either sound, early or advanced caries following the criteria set. DIAGNOdent pen which is known as an accurate diagnostic tool in detection occlusal caries was used as a gold standard and the result was compared with the respondent’s visual-tactile assessment.
Results: Percentage was calculated and the result shown the percentage of accurate early occlusal caries detection using visual-tactile method is 43.23% (95% CI: 39.90, 46.56). In addition, the percentage of operators who misdiagnosed advanced lesion as sound or vice versa are 34.74% (95% CI: 24.99, 44.49) for 1 misdiagnosis, 6.32% (95% CI: 1.33, 11.30) for 2 misdiagnosis and 1.05% (95% CI: -1.03, 3.14) for 3 misdiagnosis.
Conclusions: From the limitation of this study, the level of accuracy for operators in Malaysia in detecting early occlusal caries lesion using visual-tactile method is relatively low. This finding is hoped to improve clinician awareness of the visual-tactile diagnostic method limitation so that other methods or devices should be used as supplementary tool.

South East Asian Division Meeting
2015 South East Asian Division Meeting (Bali, Indonesia)
Bali, Indonesia
2015
131
Cariology Research - Detection, Risk Assessment and Others
  • Wan Bakar, Wan Zaripah  ( Universiti Sains Malaysia , Kota Bharu , Kelantan , Malaysia )
  • Mohd Zabidi, Nor Azira  ( Universiti Sains Malaysia , Kota Bharu , Malaysia )
  • Chong, Min Fui  ( Universiti Sains Malaysia , Kota Bharu , Malaysia )
  • We have no significant financial interest/arrangement
    Poster Session
    Poster Session 2 - Cariology
    Friday, 08/14/2015 , 04:00PM - 05:00PM