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Related Experiment Video

Updated: Jul 24, 2026

Real-Time Dynamic Navigation System for the Precise Quad-Zygomatic Implant Placement in a Patient with a Severely Atrophic Maxilla

Real-Time Dynamic Navigation System for the Precise Quad-Zygomatic Implant Placement in a Patient with a Severely Atrophic Maxilla

Published on: October 18, 2021

Computer-assisted Dynamic Navigation for Localizing Severely Calcified Root Canals: An Analysis of Deviations,

Felipe A Restrepo-Restrepo¹, Diana P Cardona-Alzate², Brayan J Muriel-Urrego²

¹POPCAD Research Group, Laboratory of Immunodetection and Bioanalysis, Faculty of Dentistry, University of Antioquia, Medellín, Colombia; Graduate Endodontics Program, Faculty of Dentistry, University of Antioquia, Medellín, Colombia.

Journal of Endodontics

|June 24, 2025

Summary

Computer-assisted dynamic navigation (C-ADN) aids in locating calcified root canals, but efficiency and mishap rates depend on operator experience. Mastery requires a learning curve, though C-ADN shows promise for endodontics.

Keywords:

Access cavity computer-assisted dynamic navigation cone-beam computed tomography pulp canal obliteration task performance

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Last Updated: Jul 24, 2026

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Published on: October 18, 2021

Dynamic Navigation for Dental Implant Placement

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Published on: September 13, 2022

Dynamic Navigation in Endodontics: Guided Access Cavity Preparation by Means of a Miniaturized Navigation System

Dynamic Navigation in Endodontics: Guided Access Cavity Preparation by Means of a Miniaturized Navigation System

Published on: May 5, 2022

Area of Science:

Endodontics
Dental technology
Surgical navigation

Background:

Pulp canal obliteration (PCO) poses a significant challenge in endodontic treatment.
Accurate localization of root canal orifices is crucial for successful endodontic procedures.

Purpose of the Study:

To evaluate deviations, task-focused performance, and operator perceptions during canal orifice localization using computer-assisted dynamic navigation (C-ADN).
To compare experienced and less experienced operators in tooth replicas with severe PCO using C-ADN.

Main Methods:

120 tooth replicas with severe PCO were used, assigned to experienced and less experienced operators.
Preoperative and postoperative cone-beam computed tomography scans were superimposed using C-ADN software to assess access preparation accuracy.
Operator task-focused performance and subjective perceptions of C-ADN were evaluated using statistical analyses.

Main Results:

A positive correlation was found between PCO depth and drilling time.
While precision was similar, less experienced operators showed longer drilling times, more mishaps, and lower task-focused performance.
Both operators improved over time, reporting enhanced situational awareness and procedural quality with C-ADN.

Conclusions:

C-ADN systems are effective for locating calcified root canals, providing reliable guidance irrespective of operator experience.
Operator experience influences efficiency and mishap rates, highlighting the need for a learning curve.
Positive operator perceptions and usability support C-ADN integration in endodontics, emphasizing skill development for proficiency.