• Medientyp: E-Artikel
  • Titel: A Novel Self-Assessment Method for Training Access Cavity on 3D Printed Endodontic Models
  • Beteiligte: Meglioli, Matteo; Mergoni, Giovanni; Artioli, Francesco; Ghezzi, Benedetta; Manfredi, Maddalena; Macaluso, Guido Maria; Lumetti, Simone
  • Erschienen: MDPI AG, 2023
  • Erschienen in: Dentistry Journal, 11 (2023) 6, Seite 152
  • Sprache: Englisch
  • DOI: 10.3390/dj11060152
  • ISSN: 2304-6767
  • Schlagwörter: General Dentistry
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: Background: New technologies can facilitate the transition from pre-clinical to clinical settings. We investigate students’ satisfaction with a novel learning method adopted in access cavity exercises. Methods: Students performed their access cavity on inexpensive, in-house 3D printed teeth. Their performances were evaluated by scanning the prepared teeth with an intraoral scanner and visualized using a mesh processing software. Then, the same software was used to align the tooth prepared by the student and the teacher’s one for self-assessment purposes. Students were asked to answer a questionnaire about their experiences with this new learning method. Results: From the teacher’s perspective, this novel learning approach was easy, straightforward and affordable. Overall, student feedback was positive: 73% found that access cavity assessment by scanning was more useful compared to a visual inspection under magnification and 57% reported that they had a better understanding of errors and mishaps. On the other hand, students pointed out that the material used to print teeth was too soft. Conclusion: The use of in-house 3D printed teeth in pre-clinical training is a simple way to overcome some of the drawbacks associated with extracted teeth, such as limited availability, variability, cross-infection control, and ethical constraints. The use of intraoral scanners and mesh processing software could improve student self-assessment.
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