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Prof. Dr. Marco Ferrari

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Department of Prosthodontics & Dental Material, University School of Dental Medicine, University of Siena, 53100 Siena, Italy
Interests: post; bonding; implants; prosthodontic materials

Special Issue Information

Dear Colleagues,

The use of digital devices has increased explosively, and most households in developed countries now have at least one digital device available for use. Digital device use in many areas of regular life and in medicine and dentistry has made a big improvement in diagnoses and therapies, thus increasing the health and quality of life of the population.

In the past decade, a solid evidence base linking digital medicine and dentistry to health has accumulated, including laboratory studies, as well as basic experimental research. However, before digital medicine and dentistry can be fully integrated into health promotion policies, a comprehensive and clinically relevant research approach, one that better aligns with the health needs of the population, needs to be established. A health approach with these digital aspects must be supported by advanced research methods, such as prospective longitudinal designs, random controlled trials, meta-analyses, innovative technologies, and the translation of lab data to clinical practice. Papers addressing these topics are invited for this Special Issue, especially those with a high academic standard as well as a practical focus on providing optimal digital medicine and dentistry solutions.

Prof. Dr. Marco Ferrari
Guest Editor

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Keywords

digital dentistry
dental digital technology
iOS
RCT in digital dentistry
quality life
patients

Published Papers (2 papers)

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Research

13 pages, 1249 KiB

Open AccessArticle

Flexural Strength Analysis of Different Complete Denture Resin-Based Materials Obtained by Conventional and Digital Manufacturing

by Alessio Casucci, Giulia Verniani, Anne Lucrèce Barbieri, Nicolò Maria Ricci, Edoardo Ferrari Cagidiaco and Marco Ferrari

Materials 2023, 16(19), 6559; https://0-doi-org.brum.beds.ac.uk/10.3390/ma16196559 - 05 Oct 2023

Cited by 5 | Viewed by 1130

Abstract

PMMA (Polymethylmethacrylate) is the material of choice to fabricate denture bases. Recently, with the introduction of CAD-CAM and 3D printers in dentistry, new materials have been proposed for complete denture manufacturing. Aim: This study compared the flexural strength of different resins fabricated using different technologies (conventional, CAD-CAM-milled, and 3D-printed) and polymerization techniques. Methods: A total of 11 different resins were tested: six PMMA conventional (Acrypol R, Acrypol LL, Acrypol HI, Acrypol Fast, Acryself and Acryslef P), two milled obtained from UDMA PMMA disks (Ivotion disk and Aadva disk, control groups), two 3D-printed PMMA resins (NextDent Denture 3D+, and SprintRayEU Denture Base), and one 3D-printed composite resin (GC Temp Print). Flexural strength was measured using a universal testing machine. One-way ANOVA and Bonferroni post hoc tests were performed; the p-value was set at 0.05 to consider statistically significant differences among the groups. Spearman test was used to evaluate the correlation between polymerization technique and the flexural strength of 3D-printed resins. Results: CAD-CAM-milled specimens showed the highest flexural strength (107.87 MPa for UDMA) followed by 3D-printed composite resins (102.96 MPa). Furthermore, 3D-printed resins polymerized for 40 min with the BB cure unit showed no statistically significant differences with conventional resin groups. Moreover, in all the 3D-printed specimens, a high correlation between polymerization technique and flexural strength was found. Conclusions: In terms of flexural strength, the polymerization technique is a determinant for both acrylic and composite resins. Temp Print can be a potential alternative to fabricating removable dentures and showed promising results when used in combination with pink color resin powder. Full article

(This article belongs to the Special Issue CAD-CAM Materials for Biomedical Applications)

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9 pages, 1998 KiB

Open AccessArticle

Accuracy of Four Intra-Oral Scanners in Subgingival Vertical Preparation: An In Vitro 3-Dimensional Comparative Analysis

by Alessio Casucci, Giulia Verniani, Ralph Habib, Nicolò Maria Ricci, Clelia Carboncini and Marco Ferrari

Materials 2023, 16(19), 6553; https://0-doi-org.brum.beds.ac.uk/10.3390/ma16196553 - 04 Oct 2023

Viewed by 925

Abstract

One of the most critical aspects in intraoral impression is the detection of the finish line, particularly in the case of subgingival preparations. The aim of this in vitro study was to evaluate the accuracy among four different Intra Oral Scanners (IOSs) in scanning a subgingival vertical margins preparation (VP). A reference maxillary typodont (MT) was fabricated with a VP for full crown on #16 and #21. The MT was scanned with a laboratory scanner (Aadva lab scanner, GC, Tokyo, Japan) to obtain a digital MT (dMT) in .stl format file. A group of 40 digital casts (dIOC) were obtained by scanning the MT 10 times with four different IOSs: Trios 3, 3Shape A/S; I700, Medit; Vivascan, Ivoclar; and Experimental IOS, GC. All the obtained dIOCs were imported into an inspection software program (Geomagic Control X; 3D SYSTEMS) to be superimposed to the dMT in order to calculate trueness. Therefore, in order to calculate precision, all the scans of the same scanner group were superimposed onto the cast that obtained the best result of trueness. The results were collected as the root mean square value (RMS) on the #16 and #21 abutment surfaces and on a marginal area positioned 1 mm above and below the gingival margin. A nonparametric analysis Kruskal–Wallis test was performed to compare the RMS values obtained in the different iOS groups for trueness and precision. Statistical significance was set at 0.05. For the trueness on the #16 abutment, the Vivascan reported statistically lower values, while on the #21 abutment, Vivascan (56.0 ± 12.1) and Experimental IOS, GC (59.2 ± 2.7) performed statistically better than the others. Regarding precision, Experimental IOS, GC were significantly better than the others on #16 (10.7 ± 2.1) and in the #21 area Experimental, GC, and Trios 3 performed statistically better(16.9 ± 13.8; 18.0 ± 2.7). At the subgingival marginal level for both #16 and #21, all the IOS reported reduced accuracy compared to clinical acceptance. Full article

(This article belongs to the Special Issue CAD-CAM Materials for Biomedical Applications)

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