Determination of a representative and 3D-printable root canal geometry for endodontic investigations and pre-clinical endodontic training — An ex vivo study

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

Models of artificial root canals are used in several fields of endodontic investigations and pre-clinical endodontic training. They allow the physical testing of dental treatments, the operating of instruments used and the interaction between these instruments and the tissues. Currently, a large number of different artificial root canal models exist whose geometry is created either on the basis of selected natural root canal systems or to represent individual geometrical properties. Currently, only a few geometric properties such as the root canal curvature or the endodontic working width are taken into consideration when generating these models. To improve the representational capability of the artificial root canal models, the aim of the current study is therefore to generate an artificial root canal based on the statistical evaluation of selected natural root canals. Here, the approach introduced by Kucher for determining the geometry of a root canal model is used, which is based on the measurement and statistical evaluation of the root canal center line's curvatures and their cross-sectional dimensions. Using the example of unbranched distal root canals of mandibular molars (n = 29), an artificial root canal model representing the mean length, curvature, torsion and cross-sectional dimensions of these teeth could be derived.

Details

Original languageEnglish
Article number133
Number of pages15
JournalDentistry Journal
Volume11
Issue number5
Publication statusPublished - 15 May 2023
Peer-reviewedYes

External IDs

PubMed 37232784
ORCID /0000-0003-2834-8933/work/142238446
WOS 001009189200001

Keywords

ASJC Scopus subject areas

Keywords

  • curvature, endodontics, length, parametric model, root canal morphology, tubular geometry, working width

Library keywords