Comparison of Milled Full-Arch Implant-Supported Frameworks Realised with a Full Digital Workflow or from Conventional Impression: A Clinical Study.

accuracy dental implants digital impression full-arch intraoral scanner

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
15 Jan 2023
Historique:
received: 25 11 2022
revised: 10 01 2023
accepted: 12 01 2023
entrez: 21 1 2023
pubmed: 22 1 2023
medline: 22 1 2023
Statut: epublish

Résumé

The aim of the present study was to investigate the accuracy of a new digital impression system, comparing it to the plaster impression technique in the realization of full-arch implant-supported metal frameworks. We took 11 scans (8 of the upper maxilla and 3 of the lower jaw) on a sample of nine patients previously rehabilitated with fixed full-arch screw-retained prostheses following the Columbus Bridge Protocol (CBP) with four to six implants (total: 51) since at least 4 months. Two impressions were taken for each dental arch: one analogic plaster impression using pick-up copings and an open tray technique and a second one using an intra-oral scanner. Two milled metal substructures were realised. The precision and passivity of the substructures were clinically analysed through the Sheffield test and endo-oral radiographs. Laboratory scans of the plaster casts obtained from an intra-oral scanner (IOS) and of the plaster casts obtained from traditional impression were compared with the intraoral scans following Hausdorff's method and an industrial digital method of optical detection to measure discrepancies. A Mann-Whitney test was performed in order to investigate average distances between surfaces after the superposition. The Sheffield test demonstrated an excellent passivity of the frameworks obtained through both the digital and the analogic method. In 81.81% of cases (n = 9) both substructures were found to have a perfect fit with excellent passivity, while in 18.18% (n = 2) of cases the substructures were found to have a very slight discrepancy. From the radiographic examination, no gaps between the frameworks and the implant heads or multiunit abutments were observed, with 100% accuracy. By superimposing digital files of scans according to Hausdorff's method, a statistically significant discrepancy ( The present study clinically demonstrates that milled implant-supported full-arch frameworks obtained through a digital scan and the herein described technique have an accuracy comparable to those obtained with traditional plaster impression.

Sections du résumé

BACKGROUND BACKGROUND
The aim of the present study was to investigate the accuracy of a new digital impression system, comparing it to the plaster impression technique in the realization of full-arch implant-supported metal frameworks.
METHODS METHODS
We took 11 scans (8 of the upper maxilla and 3 of the lower jaw) on a sample of nine patients previously rehabilitated with fixed full-arch screw-retained prostheses following the Columbus Bridge Protocol (CBP) with four to six implants (total: 51) since at least 4 months. Two impressions were taken for each dental arch: one analogic plaster impression using pick-up copings and an open tray technique and a second one using an intra-oral scanner. Two milled metal substructures were realised. The precision and passivity of the substructures were clinically analysed through the Sheffield test and endo-oral radiographs. Laboratory scans of the plaster casts obtained from an intra-oral scanner (IOS) and of the plaster casts obtained from traditional impression were compared with the intraoral scans following Hausdorff's method and an industrial digital method of optical detection to measure discrepancies. A Mann-Whitney test was performed in order to investigate average distances between surfaces after the superposition.
RESULTS RESULTS
The Sheffield test demonstrated an excellent passivity of the frameworks obtained through both the digital and the analogic method. In 81.81% of cases (n = 9) both substructures were found to have a perfect fit with excellent passivity, while in 18.18% (n = 2) of cases the substructures were found to have a very slight discrepancy. From the radiographic examination, no gaps between the frameworks and the implant heads or multiunit abutments were observed, with 100% accuracy. By superimposing digital files of scans according to Hausdorff's method, a statistically significant discrepancy (
CONCLUSIONS CONCLUSIONS
The present study clinically demonstrates that milled implant-supported full-arch frameworks obtained through a digital scan and the herein described technique have an accuracy comparable to those obtained with traditional plaster impression.

Identifiants

pubmed: 36676569
pii: ma16020833
doi: 10.3390/ma16020833
pmc: PMC9861382
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Mech & Human

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Auteurs

Francesco Pera (F)

C.I.R. Dental School, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.

Paolo Pesce (P)

Department of Surgical Sciences (DISC), University of Genoa, 16132 Genoa, Italy.

Francesco Bagnasco (F)

Department of Surgical Sciences (DISC), University of Genoa, 16132 Genoa, Italy.

Nicolò Pancini (N)

Department of Surgical Sciences (DISC), University of Genoa, 16132 Genoa, Italy.

Massimo Carossa (M)

C.I.R. Dental School, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.

Lorenzo Baldelli (L)

Department of Surgical Sciences (DISC), University of Genoa, 16132 Genoa, Italy.

Marco Annunziata (M)

Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy.

Marco Migliorati (M)

Department of Surgical Sciences (DISC), University of Genoa, 16132 Genoa, Italy.

Domenico Baldi (D)

Department of Surgical Sciences (DISC), University of Genoa, 16132 Genoa, Italy.

Maria Menini (M)

Department of Surgical Sciences (DISC), University of Genoa, 16132 Genoa, Italy.

Classifications MeSH