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      Cone beam computed tomography in implant dentistry: recommendations for clinical use

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          Abstract

          Background

          In implant dentistry, three-dimensional (3D) imaging can be realised by dental cone beam computed tomography (CBCT), offering volumetric data on jaw bones and teeth with relatively low radiation doses and costs. The latter may explain why the market has been steadily growing since the first dental CBCT system appeared two decades ago. More than 85 different CBCT devices are currently available and this exponential growth has created a gap between scientific evidence and existing CBCT machines. Indeed, research for one CBCT machine cannot be automatically applied to other systems.

          Methods

          Supported by a narrative review, recommendations for justified and optimized CBCT imaging in oral implant dentistry are provided.

          Results

          The huge range in dose and diagnostic image quality requires further optimization and justification prior to clinical use. Yet, indications in implant dentistry may go beyond diagnostics. In fact, the inherent 3D datasets may further allow surgical planning and transfer to surgery via 3D printing or navigation. Nonetheless, effective radiation doses of distinct dental CBCT machines and protocols may largely vary with equivalent doses ranging between 2 to 200 panoramic radiographs, even for similar indications. Likewise, such variation is also noticed for diagnostic image quality, which reveals a massive variability amongst CBCT technologies and exposure protocols. For anatomical model making, the so-called segmentation accuracy may reach up to 200 μm, but considering wide variations in machine performance, larger inaccuracies may apply. This also holds true for linear measures, with accuracies of 200 μm being feasible, while sometimes fivefold inaccuracy levels may be reached. Diagnostic image quality may also be dramatically hampered by patient factors, such as motion and metal artefacts. Apart from radiodiagnostic possibilities, CBCT may offer a huge therapeutic potential, related to surgical guides and further prosthetic rehabilitation. Those additional opportunities may surely clarify part of the success of using CBCT for presurgical implant planning and its transfer to surgery and prosthetic solutions.

          Conclusions

          Hence, dental CBCT could be justified for presurgical diagnosis, preoperative planning and peroperative transfer for oral implant rehabilitation, whilst striving for optimisation of CBCT based machine-dependent, patient-specific and indication-oriented variables.

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          Most cited references70

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          The complete digital workflow in fixed prosthodontics: a systematic review

          Background The continuous development in dental processing ensures new opportunities in the field of fixed prosthodontics in a complete virtual environment without any physical model situations. The aim was to compare fully digitalized workflows to conventional and/or mixed analog-digital workflows for the treatment with tooth-borne or implant-supported fixed reconstructions. Methods A PICO strategy was executed using an electronic (MEDLINE, EMBASE, Google Scholar) plus manual search up to 2016–09-16 focusing on RCTs investigating complete digital workflows in fixed prosthodontics with regard to economics or esthetics or patient-centered outcomes with or without follow-up or survival/success rate analysis as well as complication assessment of at least 1 year under function. The search strategy was assembled from MeSH-Terms and unspecific free-text words: {((“Dental Prosthesis” [MeSH]) OR (“Crowns” [MeSH]) OR (“Dental Prosthesis, Implant-Supported” [MeSH])) OR ((crown) OR (fixed dental prosthesis) OR (fixed reconstruction) OR (dental bridge) OR (implant crown) OR (implant prosthesis) OR (implant restoration) OR (implant reconstruction))} AND {(“Computer-Aided Design” [MeSH]) OR ((digital workflow) OR (digital technology) OR (computerized dentistry) OR (intraoral scan) OR (digital impression) OR (scanbody) OR (virtual design) OR (digital design) OR (cad/cam) OR (rapid prototyping) OR (monolithic) OR (full-contour))} AND {(“Dental Technology” [MeSH) OR ((conventional workflow) OR (lost-wax-technique) OR (porcelain-fused-to-metal) OR (PFM) OR (implant impression) OR (hand-layering) OR (veneering) OR (framework))} AND {((“Study, Feasibility” [MeSH]) OR (“Survival” [MeSH]) OR (“Success” [MeSH]) OR (“Economics” [MeSH]) OR (“Costs, Cost Analysis” [MeSH]) OR (“Esthetics, Dental” [MeSH]) OR (“Patient Satisfaction” [MeSH])) OR ((feasibility) OR (efficiency) OR (patient-centered outcome))}. Assessment of risk of bias in selected studies was done at a ‘trial level’ including random sequence generation, allocation concealment, blinding, completeness of outcome data, selective reporting, and other bias using the Cochrane Collaboration tool. A judgment of risk of bias was assigned if one or more key domains had a high or unclear risk of bias. An official registration of the systematic review was not performed. Results The systematic search identified 67 titles, 32 abstracts thereof were screened, and subsequently, three full-texts included for data extraction. Analysed RCTs were heterogeneous without follow-up. One study demonstrated that fully digitally produced dental crowns revealed the feasibility of the process itself; however, the marginal precision was lower for lithium disilicate (LS2) restorations (113.8 μm) compared to conventional metal-ceramic (92.4 μm) and zirconium dioxide (ZrO2) crowns (68.5 μm) (p < 0.05). Another study showed that leucite-reinforced glass ceramic crowns were esthetically favoured by the patients (8/2 crowns) and clinicians (7/3 crowns) (p < 0.05). The third study investigated implant crowns. The complete digital workflow was more than twofold faster (75.3 min) in comparison to the mixed analog-digital workflow (156.6 min) (p < 0.05). No RCTs could be found investigating multi-unit fixed dental prostheses (FDP). Conclusions The number of RCTs testing complete digital workflows in fixed prosthodontics is low. Scientifically proven recommendations for clinical routine cannot be given at this time. Research with high-quality trials seems to be slower than the industrial progress of available digital applications. Future research with well-designed RCTs including follow-up observation is compellingly necessary in the field of complete digital processing. Electronic supplementary material The online version of this article (10.1186/s12903-017-0415-0) contains supplementary material, which is available to authorized users.
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            A new volumetric CT machine for dental imaging based on the cone-beam technique: preliminary results

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              Technical aspects of dental CBCT: state of the art.

              As CBCT is widely used in dental and maxillofacial imaging, it is important for users as well as referring practitioners to understand the basic concepts of this imaging modality. This review covers the technical aspects of each part of the CBCT imaging chain. First, an overview is given of the hardware of a CBCT device. The principles of cone beam image acquisition and image reconstruction are described. Optimization of imaging protocols in CBCT is briefly discussed. Finally, basic and advanced visualization methods are illustrated. Certain topics in these review are applicable to all types of radiographic imaging (e.g. the principle and properties of an X-ray tube), others are specific for dental CBCT imaging (e.g. advanced visualization techniques).
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                Author and article information

                Contributors
                +32 16 332452 , reinhilde.jacobs@uzleuven.be
                benjamin.salmon@parisdescartes.fr
                marina.codari@gmail.com
                bassam.hassan@gmail.com
                bornst@hku.hk
                Journal
                BMC Oral Health
                BMC Oral Health
                BMC Oral Health
                BioMed Central (London )
                1472-6831
                15 May 2018
                15 May 2018
                2018
                : 18
                : 88
                Affiliations
                [1 ]ISNI 0000 0001 0668 7884, GRID grid.5596.f, OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, , University of Leuven, ; Kapucijnenvoer 33, 3000 Leuven, Belgium
                [2 ]ISNI 0000 0004 0626 3338, GRID grid.410569.f, Department of Oral and Maxillofacial Surgery, , University Hospitals Leuven, ; Leuven, Belgium
                [3 ]ISNI 0000 0004 1937 0626, GRID grid.4714.6, Department of Dental Medicine (DENTMED), Karolinska Institutet, ; Stockholm, Sweden
                [4 ]ISNI 0000 0004 1788 6194, GRID grid.469994.f, EA2496, Orofacial Pathologies, Imaging and Biotherapies Lab, Dental School Paris Descartes University, Sorbonne Paris Cité, ; Paris, France
                [5 ]ISNI 0000 0001 2175 4109, GRID grid.50550.35, Department of Odontology, AP-HP, Nord Val de Seine Hospital (Bretonneau), ; Paris, France
                [6 ]ISNI 0000 0004 1766 7370, GRID grid.419557.b, Unit of Radiology, IRCCS Policlinico San Donato, ; San Donato Milanese, Italy
                [7 ]Department of Oral Function and Restorative Dentistry, Academic Centre for Dentistry Amsterdam (ACTA), Research Institute MOVE, 1081 LA Amsterdam, The Netherlands
                [8 ]Applied Oral Sciences, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China
                Author information
                http://orcid.org/0000-0002-3461-0363
                Article
                523
                10.1186/s12903-018-0523-5
                5952365
                29764458
                2f20140a-aaff-4c39-90d9-d8635b7cea4c
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 3 July 2017
                : 26 March 2018
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Dentistry
                cone beam computed tomography,dental implants,presurgical planning,guidelines,radiation dose,virtual patient

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