Three-dimensional Analysis of Root Canal Geometry by High-resolution Computed Tomography

TLDR

Understanding the complex geometry of root canal systems is essential for successful root canal preparation. The study aimed to assess the accuracy of high‑resolution CT for non‑destructive 3‑D mapping of root canal geometry. The authors scanned 12 extracted maxillary molars with a 34‑µm μCT, used a mounting device for precise repositioning, and calculated canal surface areas, volumes, diameters, and configurations via triangulation and model‑independent methods. The technique produced highly accurate measurements, with artificial canal volumes and areas correlating well, repositioning errors below one voxel, and reliable 3‑D geometry that can support further endodontic research.

Abstract

A detailed understanding of the complexity of root canal systems is imperative to ensure successful root canal preparation. The aim of this study was to evaluate the potential and accuracy of a three-dimensional, non-destructive technique for detailing root canal geometry by means of high-resolution tomography. The anatomy of root canals in 12 extracted human maxillary molars was analyzed by means of a micro-computed tomography scanner (μCT, cubic resolution 34 μm). A special mounting device facilitated repeated precise repositioning of the teeth in the μCT. Surface areas and volumes of each canal were calculated by triangulation, and means were determined. Model-independent methods were used to evaluate the canals' diameters and configuration. The calculated and measured volumes and the areas of artificial root canals, produced by the drilling of precision holes into dentin disks, were well-correlated. Semi-automated repositioning of specimens resulted in near-perfect matching (< 1 voxel) when outer canal contours were assessed. Root canal geometry was accurately assessed by this innovative technique; therefore, variables and indices presented may serve as a basis for further analyses of root canal anatomy in experimental endodontology.