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Relevance of the Operator’s Experience in Conditioning the Static Computer-Assisted Implantology: A Comparative In Vitro Study with Three Different Evaluation Methods

Articolo
Data di Pubblicazione:
2022
Abstract:
The present study aimed to evaluate the influence of manual expertise on static computer-aided implantology (s-CAI) in terms of accuracy and operative timings. After the cone-beam CT (CBCT) scanning of eleven mandibular models, a full-arch rehabilitation was planned, and two different skilled operators performed s-CAI. The distances between the virtual and actual implant positions were calculated considering the three spatial vectorial axes and the three-dimensional Euclidean value for the entry (E) and apical (A) points, along with the axis orientation differences (Ax). These values emerged from the overlapping of the pre-op CBCT to post-op CBCT data (method 1), from scanning the data from the laboratory scanner (method 2), and from the intra-oral scanner (method 3) and were correlated with the operators' expertise and operative timings. The mean values for accuracy from the three methods were: E = 0.57 (0.8, 0.45, 0.47) mm, A = 0.6 (0.8, 0.48, 0.49) mm, and Ax 1.04 (1.05,1.03,1.05) degrees for the expert operator; and E = 0.8 (0.9, 0.87, 0.77), A = 0.95 (1.02, 0.95, 0.89), and Ax =1.64 (1.78, 1.58, 1.58) for the novice. The mean value of the operative timings was statistically inferior for the expert operator (p < 0.05), with an improved accuracy over time for both operators. A significant difference (p < 0.05) emerged between method 1 and methods 2 and 3 for seven of the nine variables, without differences between the evaluations from the two scanners. The support from digital surgical guides does not eliminate the importance of manual expertise for the reliability and the shortening of the surgical procedure, and it requires a learning pathway over time.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
clinical skill; data accuracy; dental implant; outcome assessment
Elenco autori:
Pellegrino G.; Lizio G.; D'Errico F.; Ferri A.; Mazzoni A.; Bianco F.D.; Stefanelli L.V.; Felice P.
Autori di Ateneo:
LIZIO Giuseppe
Link alla scheda completa:
https://iris.unito.it/handle/2318/2029413
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/2029413/1409605/applsci-12-09561-v2.pdf
Pubblicato in:
APPLIED SCIENCES
Journal
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