• Journal of the korean academy of Pediatric Dentistry
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• v.36 no.3
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• pp.337-347
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• 2009

Dental caries during infantile and early childhood period is a complex disease resulting from multiple caries factors. Streptococcus mutans(S. mutans) plays a critical role in the initiation of caries, and its early transmission through mothers provides a strong etiologic factor for future development of caries in the primary dentition. Therefore, early detection of caries risk factor is important for prevention of caries. Recent studies about etiologic factors of caries have brought advent of various tools for caries risk assessment in order to predict progress of caries more accurately. Cariogram is a common tool for caries risk assessment, which illustrates present caries risk assessment and correlation of caries risk factors for an individual graphically. The aim of this study was to assess if there is any correlation in the level of S. mutans and caries activity and to verify the effect of caries risk factors between children with age ranging from 3 to 5 years with severe early childhood caries(S-ECC) and their mothers using caries-related salivary test and Cariogram. The results of this study were as follows. 1. Children with S-ECC had a statistically higher level of Streptococcus mutans compared to caries-free children(p<0.05). 2. There was significant correlation between mothers and their children in the aspect of the level of Streptococcus mutans(p<0.05). 3. When caries activity was assessed using Cariogram, significant correlation between mothers and their children was found(p<0.05). 4. When each caries risk factor was evaluated for its affect on caries activity, host was more influential factor compared to microorganism and diet in children. Based on these results, we could conclude that assessing the level of S. mutans can be an effective tool for predicting possibility of caries formation in future. Since prediction of future caries progression and evaluation of caries risk factor became possible with Cariogram, we may conduct early and preventive measures for treatment of caries.

• Journal of the korean academy of Pediatric Dentistry
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• v.48 no.2
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• pp.221-228
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• 2021

The aim of this study was to evaluate the use of easily accessible machine learning application to identify mesiodens, and to compare the ability to identify mesiodens between trained model and human. A total of 1604 panoramic images (805 images with mesiodens, 799 images without mesiodens) of patients aged 5 - 7 years were used for this study. The model used for machine learning was Google's teachable machine. Data set 1 was used to train model and to verify the model. Data set 2 was used to compare the ability between the learning model and human group. As a result of data set 1, the average accuracy of the model was 0.82. After testing data set 2, the accuracy of the model was 0.78. From the resident group and the student group, the accuracy was 0.82, 0.69. This study developed a model for identifying mesiodens using panoramic radiographs of children in primary and early mixed dentition. The classification accuracy of the model was lower than that of the resident group. However, the classification accuracy (0.78) was higher than that of dental students (0.69), so it could be used to assist the diagnosis of mesiodens for non-expert students or general dentists.