A Novel Self-Assessment Method for Training Access Cavity on 3D Printed Endodontic Models

被引:0
作者
Meglioli, Matteo [1 ]
Mergoni, Giovanni [1 ]
Artioli, Francesco [1 ]
Ghezzi, Benedetta [1 ,2 ]
Manfredi, Maddalena [1 ]
Macaluso, Guido Maria [1 ,2 ]
Lumetti, Simone [1 ,2 ]
机构
[1] Univ Parma, Ctr Dent Med, Dept Med & Surg, Via Gramsci 14, I-43126 Parma, Italy
[2] IMEM CNR, Parco Area Sci 37-A, I-43124 Parma, Italy
关键词
endodontics; access cavity; dental education; 3d printing; intraoral scanner; EXTRACTED HUMAN TEETH; APICAL PERIODONTITIS; DENTAL EDUCATION; POPULATION; PREVALENCE; SIMULATOR; ACCURACY;
D O I
10.3390/dj11060152
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
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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页数:11
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