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Information × Registration Number 2119U002463, Article popup.category Стаття Title popup.author Kustro T.Kiss T.Chernogorskyi D.Chepurnyi Y.Helyes Z.Kopchak A. popup.publication 06-12-2019 popup.source_user Національний медичний університет імені О. О. Богомольця popup.source https://doi.org/10.1016/j.jcms.2018.09.022 popup.publisher Journal of Cranio-Maxillo-Facial Surgery Description Purpose: The goal of this study was the evaluation of the bone tissue structural characteristics over the time course of mandibular defect healing using micro-CT technique, as well as determination of the inter-relationships between different micro-CT parameters used for assessment of the bone regeneration process and the patterns of their dynamic changes. Materials and methods: The body and ramus of the mandible was exposed in 24 Wistar rats. A 2-mm full thickness bony defect was created. Animals were randomized into four groups, which were ended 3, 6, 12 and 24 weeks after operation. The mandible was excised and underwent micro-CT analysis. For statistical evaluation, the ManneWhitney U test, polynomial or exponential regression and Spearman analysis were applied. Results: The absolute volume of the bone regenerate increased from 1.69 ± 0.53 mm3 (3 weeks) to 3.36 mm3 ± 0.56 (6 months), as well as percentage of bone volume, increased significantly from 12.5 ± 2.3% at the 3-week term to 26.4 ± 8.7% at the 3-month term or 23.1 ± 8.7% at the 6-month term. Structural (trabecular) thickness gradually increased from 0.13 ± 0.007 mm at the 3-week term to 0.3 ± 0.11 mm at the 6-month term. The structural model index was 0.79 ± 0.46 in the early phase after trauma and then decreased to negative values. Conclusion: The bone regeneration process was characterized by a significant increase (p < 0.05) in bone volume, percentage of bone volume, structural thickness and bone mineral density, and a decrease in bone surface-to-volume ratio and volume of pore space from the 3-week term to the 6-month term. These changes can be mathematically described by nonlinear exponential regression models. popup.nrat_date 2025-04-07 Close