Impact of an e-learning platform in improving dentists' CBCT diagnostic skills: a pilot study.

Authors

Daniel Brockes, Caroline V Busch, Kathrin Becker, Jürgen Becker, Giulia Brunello, Katharina Mücke

Published in

Oral radiology. Jul 24, 2026. Epub Jul 24, 2026.

Abstract

Cone Beam Computed Tomography (CBCT) is a widely used imaging technology in dentistry, requiring specialized training and a specific license in Germany. This study aimed to evaluate the effectiveness of an e-learning platform for acquiring CBCT knowledge and to examine participant satisfaction and experiences.
The study included German dentists, half with CBCT license and half without. The participants completed an online pre-test with 15 image-based questions to assess basic knowledge and then were given access to the e-platform containing 104 annotated CBCT cases (e.g. implant planning, cysts, or impacted teeth). After 8-10 weeks, a post-test similar to the pre-test was conducted. An 11-item questionnaire recorded participant experience. Data were analysed using independent and paired t-tests, and Fisher's exact test; p < 0.05 was considered statistically significant.
Between May and October 2025, 32 dentists participated in the study (16 with and 16 without CBCT license). Learning with the e-learning platform led to a significant increase in knowledge (p < 0.001). Participants with CBCT license had higher baseline scores than those without (75.8% vs. 69.3%; p < 0.05); after the learning phase, the difference was no longer significant (p = 0.37), with final scores of 83.1% and 80.6%, respectively. Regardless of CBCT license status, dentists found the platform to be a valuable tool for enhancing diagnostic skills, offering a user-friendly, case-based structure.
The digital learning platform significantly improved CBCT-related diagnostic skills and dentists, both with and without a CBCT license, found the platform practical and easy to use.

PMID:
42496800
Bibliographic data and abstract were imported from PubMed on 24 Jul 2026.

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