Correlation between Vista Cam, ICDAS-II, X-ray bitewings and cavity extent after lesion excavation: an in-vivo pilot study

Mazur, Marta; Jedliński, Maciej; Vozza, Iole; Pasqualotto, Debora; Nardi, Gianna Maria; Ottolenghi, Livia; Guerra, Fabrizio

doi:10.23736/s0026-4970.20.04341-1

Minerva Stomatol

2021

DOI: 10.23736/s0026-4970.20.04341-1

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Correlation between Vista Cam, ICDAS-II, X-ray bitewings and cavity extent after lesion excavation: an in-vivo pilot study

Marta Mazur¹,

Maciej Jedliński²,

Iole Vozza³

et al.

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2024

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Cited by 2 publications

References 17 publications

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Evaluation of DIAGNOdent pen for initial occlusal caries diagnosis in permanent teeth

Yehua,

Yiyuan,

Yihao

et al. 2024

BMC Oral Health

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Background To verify the validity of diagnosing initial caries on occlusal surface of permanent posterior teeth by laser fluorescence instrument DIAGNOdent pen. Methods Patients from School of Stomatology in Wuhan University were selected and their posterior teeth were examined using DIAGNOdent pen and the International Caries Detection and Assessment System (ICDAS II) by an experienced dentist. After teeth extraction, histological criteria were used to determine the severity of the lesions. The sensitivity, specificity, accuracy, the area under the curve (AUC), and correlation of DIAGNOdent pen and ICDAS II were analyzed compared with histological criteria. Examiners’ agreement was measured. Results The sensitivity range was 0.440-1 while that of specificity was 0.750–0.994. The accuracy and AUC were above 80% and 0.7 respectively. Consistency of examiners’ kappa values of ICDAS II, DIAGNOdent pen, and histological criteria were ranged from 0.629 to 0.840. Conclusions ICDAS II and DIAGNOdent pen can be effectively used in tandem or independently for the assessment of initial caries.

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Evaluation of DIAGNOdent pen for initial occlusal caries diagnosis in permanent teeth

Yehua,

Yiyuan,

Yihao

et al. 2024

BMC Oral Health

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Tooth Type Enhanced Transformer for Children Caries Diagnosis on Dental Panoramic Radiographs

Zhou

Yin

et al. 2023

Diagnostics

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The objective of this study was to introduce a novel deep learning technique for more accurate children caries diagnosis on dental panoramic radiographs. Specifically, a swin transformer is introduced, which is compared with the state-of-the-art convolutional neural network (CNN) methods that are widely used for caries diagnosis. A tooth type enhanced swin transformer is further proposed by considering the differences among canine, molar and incisor. Modeling the above differences in swin transformer, the proposed method was expected to mine domain knowledge for more accurate caries diagnosis. To test the proposed method, a children panoramic radiograph database was built and labeled with a total of 6028 teeth. Swin transformer shows better diagnosis performance compared with typical CNN methods, which indicates the usefulness of this new technique for children caries diagnosis on panoramic radiographs. Furthermore, the proposed tooth type enhanced swin transformer outperforms the naive swin transformer with the accuracy, precision, recall, F1 and area-under-the-curve being 0.8557, 0.8832, 0.8317, 0.8567 and 0.9223, respectively. This indicates that the transformer model can be further improved with a consideration of domain knowledge instead of a copy of previous transformer models designed for natural images. Finally, we compare the proposed tooth type enhanced swin transformer with two attending doctors. The proposed method shows higher caries diagnosis accuracy for the first and second primary molars, which may assist dentists in caries diagnosis.

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Correlation between Vista Cam, ICDAS-II, X-ray bitewings and cavity extent after lesion excavation: an in-vivo pilot study

Cited by 2 publications

References 17 publications

Evaluation of DIAGNOdent pen for initial occlusal caries diagnosis in permanent teeth

Evaluation of DIAGNOdent pen for initial occlusal caries diagnosis in permanent teeth

Tooth Type Enhanced Transformer for Children Caries Diagnosis on Dental Panoramic Radiographs

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