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A Novel Dentin Push-out Bond Strength Model That Uses Micro-Computed Tomography. | LitMetric

AI Article Synopsis

  • This study proposes a new method for evaluating bond strength in endodontics using a micro-computed tomography (μCT) model to enhance current push-out experimental methods.
  • The researchers filled roots with gutta-percha and various sealers, testing slices of these roots for bond strength using a push-out test, while μCT provided detailed images before and after testing for analysis.
  • Results indicated that the μCT model produced reliable measurements of bond strength and revealed a moderate correlation between bond strength and interfacial gaps in the sealants.

Article Abstract

Introduction: Current push-out experimental methods used in endodontic research should be improved. This study introduced a novel dentin push-out bond strength model that uses micro-computed tomography (μCT).

Methods: Roots filled with gutta-percha cones and different resin-based sealers (n = 10) were sectioned transversely to obtain two 2-mm-thick slices per root third. The first slice was subjected to a push-out test by using a material testing stage fitted inside a μCT scanner. The apparatus was scanned before and after the test to evaluate areas of filling material ruptures. The images provided by μCT were also used to generate models for a 3-dimensional finite element analysis. Confocal laser scanning microscopy was used to assess failure modes after the test and to measure interfacial gaps in slices not subjected to push-out. Bond-strength and gap data were statistically analyzed (P < .05).

Results: Proper coefficients of variation (average less than 30%) were observed for all the experimental conditions. The finite element analysis helped explain the results of bond strength and root-filling ruptures. A significant, moderate, indirect correlation was observed between the bond strength and gaps.

Conclusions: The micromechanical model with the μCT images resulted in a consistent root-filling bond strength evaluation.

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Source
http://dx.doi.org/10.1016/j.joen.2015.09.009DOI Listing

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