ArticleJournal of dental sciences2024
The learning curve of a dynamic navigation system used in endodontic apical surgery.
Article in Journal of dental sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Accuracy of dynamic computer-assisted implant surgery among novice operators using three different patient registration methods: an in-vitro study.International journal of implant dentistry · 2026Article
- Dynamic Computer-Assisted Surgery in Oral Surgery: A Systematic Review.Journal of clinical medicine · 2026Review
- Evaluation of an intraoral scan-assisted registration method for guided endodontics: an in vitro study.BMC oral health · 2025Article
- Real-Time Motion Compensation for Dynamic Dental Implant Surgery.Journal of clinical medicine · 2025Article
- Dynamic Navigation in Endodontic Surgery: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Influence of deviation tolerances on the positioning accuracy using computer aided dynamic navigation in endodontic surgery: a proof-of-concept.Head & face medicine · 2025Article
- Retreatment and aesthetic restoration of maxillary incisor with calcified root canal using a dynamic navigation system: a case report.BMC oral health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background/purpose: Quantitative Materials and methods: Standardized models were designed and 3D printed to form the approach operation of endodontic apical surgery. 6 clinicians with no experience in dynamic navigation performed the operation. The distance deviation tolerance was set as 0.6 mm, and the angle deviation tolerance was set as 5°. Fifteen mm deep approach operation was completed using dynamic navigation. Each operator performed 10 consecutive exercises on the models. The positioning deviation and operation time of each operator for each practice were recorded. Based on this, the learning curve of the dynamic navigation of every operator was mapped. The learning difficulty of dynamic navigation was evaluated. Results: The learning curves of all operators reached a stable level after the 7th practice, which can ensure that the distance and angle deviations are maintained within the deviation tolerances (0.6 mm, 5°). Conclusion: Operators with no experience in dynamic navigation technology need practice to master dynamic navigation operations. For this navigation system, operators with no operational experience can master dynamic navigation operations after 7 exercises.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.