ArticleScientific reports2021
Three-dimensional non-destructive visualization of teeth enamel microcracks using X-ray micro-computed tomography.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 25 citations in OpenAlex.
- Adhesive-based protective strategies for enamel cracks during in-office bleaching and their effect on hydrogen peroxide penetration.Clinical oral investigations · 2026Article
- Micro-CT evaluation of marginal and internal adaptation of composite resins using different application techniques.Scientific reports · 2025Article
- Innovative Approaches in Dental Care: Electrical Impedance Analysis (EIA) for Early Caries Detection.Bioengineering (Basel, Switzerland) · 2025Article
- Evaluation of dental enamel after debonding of sapphire brackets and removal of orthodontic adhesive remnants.Dental press journal of orthodontics · 2025Article
- Three-Dimensional Assessment of Dental Enamel Microcrack Progression After Orthodontic Bracket Debonding Using Optical Coherence Tomography.Journal of functional biomaterials · 2024Article
- The exploration of a compound cone-beam CT contrast agent for diagnosis of human extracted cracked tooth.Heliyon · 2024Article
- Teeth Microcracks Research: Towards Multi-Modal Imaging.Bioengineering (Basel, Switzerland) · 2023Article
- Diagnosis of cracked tooth: Clinical status and research progress.The Japanese dental science review · 2022Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although the topic of tooth fractures has been extensively analyzed in the dental literature, there is still insufficient information about the potential effect of enamel microcracks (EMCs) on the underlying tooth structures. For a precise examination of the extent of the damage to the tooth structure in the area of EMCs, it is necessary to carry out their volumetric [(three-dimensional (3D)] evaluation. The aim of this study was to validate an X-ray micro-computed tomography ([Formula: see text]CT) as a technique suitable for 3D non-destructive visualization and qualitative analysis of teeth EMCs of different severity. Extracted human maxillary premolars were examined using a [Formula: see text]CT instrument ZEISS Xradia 520 Versa. In order to separate crack, dentin, and enamel volumes a Deep Learning (DL) algorithm, part of the Dragonfly's segmentation toolkit, was utilized. For segmentation needs we implemented Dragonfly's pre-built UNet neural network. The scanning technique which was used made it possible to recognize and detect not only EMCs that are visible on the outer surface but also those that are buried deep inside the tooth. The 3D visualization, combined with DL assisted segmentation, enabled the evaluation of the dynamics of an EMC and precise examination of its position with respect to the dentin-enamel junction.
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Registered trials
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