ArticleImaging science in dentistry2025
Visualizing physiological sclerotic dentin via micro-computed tomography: A pilot study.
Article in Imaging science in dentistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Purpose: Physiological dentin sclerosis is a distinctive phenomenon observed in transverse sections of the tooth root as a tooth ages. Since this effect has only been visualized 2-dimensionally, this pilot proof-of-concept study aimed to propose a novel method to visualize and quantify physiological sclerotic dentin 3-dimensionally using density-based micro-computed tomography (CT)-generated gray values. Materials and Methods: Forty single-rooted premolars of known chronological age from the Malay male population were scanned with a micro-CT scanner. The X-ray source was operated at 160 kV, 100 μA, and a voxel size of 48.8 μm. Three-dimensional volume datasets for each tooth were reconstructed, and volumetric analysis was performed on the root dentin region using the open-source software FIJI (ImageJ) (ver. 1.54k, National Institutes of Health, Bethesda, USA). Results: Micro-CT imaging enabled the selection, isolation, and quantification of high-density areas in the tooth root that correspond to physiological sclerotic dentin. The generated gray value profile also reflected the characteristic butterfly-shaped pattern seen in transverse root sections. A comparison of premolars from different age groups revealed that individuals aged 31-60 years exhibited a larger butterfly-shaped area, reflecting the increase in high-density sclerotic dentin, compared with younger premolars. Conclusion: In this pilot proof-of-concept study, visualization and measurement of physiological sclerotic dentin were shown to be feasible using micro-CT. However, the method is highly dependent on the capability of the micro-CT scanner and the performance of the image-processing software. Further research is needed to improve image quality using advanced micro-CT scanning techniques.
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