Abstract
BACKGROUND: The diagnostic criteria and tools used in caries lesion detection have been shown to affect the decision-making for caries treatment. Compared to other diagnostic criteria/classifications, ICDAS has been shown to provide a more accurate method for the detection of occlusal caries lesions. The influence of using ICDAS on caries treatment recommendations has received increasing attention in recent years. Therefore, the aim of this study was to assess the impact of ICDAS on dentists' occlusal caries lesions' treatment decisions for patients at high risk for caries. METHODS: Five dentists examined the occlusal surfaces of 270 extracted premolars and permanent molars. For a predetermined clinical scenario, the examiners were asked to indicate their treatment recommendations for each tooth. Four weeks later, all the examiners were trained and calibrated for the use of ICDAS. Then the investigators examined the same 270 teeth independently and indicated their treatment recommendations using the same clinical scenario. Histological validation was used to determine the caries lesions detection performance of the examiners using ICDAS and to assess the relationship between the presence of dentin caries and treatment recommendations for each examiner before and after ICDAS training. Specificity, sensitivity, area under the receiver operating characteristic curve (AUC), and Spearman's correlation coefficients were calculated. The Wilcoxon two-related sample rank test was used to test for differences between treatment recommendations. RESULTS: The strongest correlation for inter-examiner reproducibility was found between the ICDAS D2 cut-off point (ICDAS codes 3-6 as dentin caries) and histologic dentin caries. Treatment recommendations among different examiners before and after ICDAS training demonstrated a statistically significant increase in operative intervention and an increase in the percentage of overtreatment recommendations for two examiners. CONCLUSIONS: The impact of ICDAS on the examiners' caries lesion treatment recommendations varied among the dentists in this study. Treatment decision-making can be influenced by the caries lesion's detection and classification system used.