Evidence map›Paper›PMID 40322382›Full record

ArticleCureus2025

Evaluation of 3D-Printed Models in Dental Education: Practical Applications and Student Perspectives.

Todor G Bogdanov, Todor A Hikov, Todor Uzunov, Dimitar Kirov, Nikola Milanov, Hristina Galeva

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Todor G BogdanovMedical Physics and Biophysics, Faculty of Medicine, Medical University - Sofia, Sofia, BGR.
Todor A HikovMedical Physics and Biophysics, Faculty of Medicine, Medical University - Sofia, Sofia, BGR.
Todor UzunovProsthetic Dental Medicine, Faculty of Dental Medicine, Medical University - Sofia, Sofia, BGR.
Dimitar KirovProsthetic Dental Medicine, Faculty of Dental Medicine, Medical University - Sofia, Sofia, BGR.
Nikola MilanovProsthetic Dental Medicine, Faculty of Dental Medicine, Medical University - Sofia, Sofia, BGR.
Hristina GalevaProsthetic Dental Medicine, Faculty of Dental Medicine, Medical University - Sofia, Sofia, BGR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRecently, developments in digital technologies have significantly transformed dental education and practice. This study aims to assess students' knowledge and interest in digital dentistry and evaluate the implementation of 3D-printed models in dental training. A survey was conducted among 249 dental students to gauge their understanding of digital technologies, their willingness to deepen their knowledge, and their perceptions of advantages and limitations compared to conventional methods. MATERIALS AND

methodsFollowing the survey, 3D-printed dental models with removable dies were fabricated using high-resolution resin printing technology and distributed among first-year dental students. Over 13 weeks, students utilized these models for prosthetic training, performing procedures such as wax modeling, casting, and polishing of dental crowns. The study assessed the models' durability and categorized defects based on their location and cause.

resultsThe results revealed a high level of student interest in digital technologies, emphasizing the necessity of integrating modern tools into dental education. Statistical analysis of the defects in the 3D-printed models highlighted critical areas requiring improvement, particularly concerning mechanical handling. Additionally, correlation analyses of student responses indicated that those who perceive digital tools as beneficial for their future careers are more inclined to adopt them in practice.

conclusionsThe findings underscore the importance of digitalization in dental training, highlighting both its benefits and areas for refinement. Enhancing processing techniques and optimizing training methodologies can further improve the quality of 3D-printed models and their effectiveness in dental education.

Indexed as

3d printingcad/cam technologydental educationdigital dentistryprosthetic trainingstudent perception

Identifiers

PMID40322382
PMCPMC12048888

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.