Scanning resolution and the detection of approximal caries

2001 ◽  
Vol 30 (3) ◽  
pp. 166-171 ◽  
Author(s):  
A Janhom ◽  
F C van Ginkel ◽  
J P van Amerongen ◽  
P F van der Stelt
Keyword(s):  
Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5192
Author(s):  
Maira Moran ◽  
Marcelo Faria ◽  
Gilson Giraldi ◽  
Luciana Bastos ◽  
Larissa Oliveira ◽  
...  

Dental caries is an extremely common problem in dentistry that affects a significant part of the population. Approximal caries are especially difficult to identify because their position makes clinical analysis difficult. Radiographic evaluation—more specifically, bitewing images—are mostly used in such cases. However, incorrect interpretations may interfere with the diagnostic process. To aid dentists in caries evaluation, computational methods and tools can be used. In this work, we propose a new method that combines image processing techniques and convolutional neural networks to identify approximal dental caries in bitewing radiographic images and classify them according to lesion severity. For this study, we acquired 112 bitewing radiographs. From these exams, we extracted individual tooth images from each exam, applied a data augmentation process, and used the resulting images to train CNN classification models. The tooth images were previously labeled by experts to denote the defined classes. We evaluated classification models based on the Inception and ResNet architectures using three different learning rates: 0.1, 0.01, and 0.001. The training process included 2000 iterations, and the best results were achieved by the Inception model with a 0.001 learning rate, whose accuracy on the test set was 73.3%. The results can be considered promising and suggest that the proposed method could be used to assist dentists in the evaluation of bitewing images, and the definition of lesion severity and appropriate treatments.


2000 ◽  
Vol 34 (2) ◽  
pp. 140-143 ◽  
Author(s):  
L.G. Petersson ◽  
K. Magnusson ◽  
H. Andersson ◽  
B. Almquist ◽  
S. Twetmana

1991 ◽  
Vol 25 (5) ◽  
pp. 335-340 ◽  
Author(s):  
J.W. van de Rijke ◽  
F.M. Herkströter ◽  
J.J. ten Bosch
Keyword(s):  

1987 ◽  
Vol 21 (5) ◽  
pp. 460-463 ◽  
Author(s):  
J. Heidmann ◽  
U. Hølund ◽  
S. Poulsen

2015 ◽  
Vol 49 (2) ◽  
pp. 99-108 ◽  
Author(s):  
Apoena A. Ribeiro ◽  
Flávia Purger ◽  
Jonas A. Rodrigues ◽  
Patrícia R.A. Oliveira ◽  
Adrian Lussi ◽  
...  

This in vivo study aimed to evaluate the influence of contact points on the approximal caries detection in primary molars, by comparing the performance of the DIAGNOdent pen and visual-tactile examination after tooth separation to bitewing radiography (BW). A total of 112 children were examined and 33 children were selected. In three periods (a, b, and c), 209 approximal surfaces were examined: (a) examiner 1 performed visual-tactile examination using the Nyvad criteria (EX1); examiner 2 used DIAGNOdent pen (LF1) and took BW; (b) 1 week later, after tooth separation, examiner 1 performed the second visual-tactile examination (EX2) and examiner 2 used DIAGNOdent again (LF2); (c) after tooth exfoliation, surfaces were directly examined using DIAGNOdent (LF3). Teeth were examined by computed microtomography as a reference standard. Analyses were based on diagnostic thresholds: D1: D₀ = health, D1-D4 = disease; D2: D₀, D1 = health, D2-D4 = disease; D3: D₀-D2 = health, D3, D4 = disease. At D1, the highest sensitivity/specificity were observed for EX1 (1.00)/LF3 (0.68), respectively. At D2, the highest sensitivity/specificity were observed for LF3 (0.69)/BW (1.00), respectively. At D3, the highest sensitivity/specificity were observed for LF3 (0.78)/EX1, EX2 and BW (1.00). EX1 showed higher accuracy values than LF1, and EX2 showed similar values to LF2. We concluded that the visual-tactile examination showed better results in detecting sound surfaces and approximal caries lesions without tooth separation. However, the effectiveness of approximal caries lesion detection of both methods was increased by the absence of contact points. Therefore, regardless of the method of detection, orthodontic separating elastics should be used as a complementary tool for the diagnosis of approximal noncavitated lesions in primary molars.


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