Evidence map›Paper›PMID 40931355›Full record

ArticleBMC medical education2025

3D printed teeth for bridge preparation training: development and assessment in dental education.

Michael Del Hougne, Johannes Schrenker, Isabella Di Lorenzo, Christian Höhne, Marc Schmitter

Abstract read
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Michael Del HougneDepartment of Prosthodontics, University of Würzburg, Pleicherwall 2, 97070, Würzburg, Germany. hougne_m@ukw.de.
Johannes SchrenkerDepartment of Prosthodontics, University of Würzburg, Pleicherwall 2, 97070, Würzburg, Germany.
Isabella Di LorenzoDepartment of Prosthodontics, University of Würzburg, Pleicherwall 2, 97070, Würzburg, Germany.
Christian HöhneDepartment of Prosthodontics, University of Würzburg, Pleicherwall 2, 97070, Würzburg, Germany.
Marc SchmitterDepartment of Prosthodontics, University of Würzburg, Pleicherwall 2, 97070, Würzburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBridge preparation skills are a vital component of dental education and require specific techniques. This study aimed to develop and evaluate 3D printed teeth for use in defect-oriented bridge preparation and pre-prosthetic exercises in dental training, addressing the limited customization and lack of integrated workflows found in commercial typodont teeth. The null hypothesis stated that 3D printed teeth offered no advantage over established typodont training methods for bridge preparation.

methodsCustom 3D printed teeth were designed to support integrated workflows with defect-oriented preparation techniques and evaluated by fourth-year dental students in three sequential hands-on courses. Students had completed preclinical studies. Feedback was collected using a structured questionnaire comparing 3D printed teeth with conventional typodonts. Evaluation domains included pre-prosthetic exercise, preparation experience, learning process, learning success, and overall training, measured via Visual Analog Scales. Free-text responses captured perceived strengths and areas for improvement. Exercise complexity was reduced due to external factors and poor initial evaluations: pre-prosthetic exercises were omitted after the first course, and provisional bridge fabrication after the second.

resultsA total of 116 fourth-year students participated. Although student evaluations were subjective, they provided valuable insight into the usability and learning experience of the 3D printed teeth. 3D printed teeth were rated relatively low in perceived realism in caries excavation (mean 30.58 ± 24.74) and core build-up placement (mean 47.77 ± 26.22). Tactile feedback during preparation was rated comparably (p = 0.906) for 3D printed and typodont teeth. Ratings for 3D printed teeth improved significantly from the first to third courses in tactile feedback (p = 0.008), learning process (p < 0.001), learning success (p < 0.001), and suitability (p < 0.001). Interest in using 3D printed teeth increased (p < 0.001), though students were cautious about fully replacing typodonts. Internal consistency was high (Cronbach's α = 0.772-0.857). Free-text feedback highlighted the need for greater hardness (n = 43). Cost-effectiveness (n = 43) and realism (n = 18) were identified as key advantages.

conclusionsThe 3D printed teeth allowed students to practice defect-oriented bridge preparation. Despite subjective data and methodological limitations, they show promise as a tool to support dental education.

Indexed as

Education, DentalPrinting, Three-DimensionalClinical CompetenceEducational MeasurementHumansStudents, DentalSurveys and Questionnaires3D printingAdditive manufacturingBridge preparationDefect-oriented preparation techniqueDental educationIntegrated workflow

Identifiers

PMID40931355
PMCPMC12421736

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.