PLACING THE SINGLE-TOOTH, SCREW-RETAINED IMPLANT PROSTHESIS

2000 ◽  
Vol 131 (6) ◽  
pp. 810-811
Author(s):  
RUSS WILLIAMSON
Keyword(s):  
Single Tooth ◽  
Implant Prosthesis

scholarly journals Comparison of digital and silicone impressions for single-tooth implants and two- and three-unit implants for a free-end edentulous saddle

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Koudai Nagata ◽  
Kei Fuchigami ◽  
Yurie Okuhama ◽  
Kana Wakamori ◽  
Hayato Tsuruoka ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Missing Teeth ◽  
Long Span ◽  
Distal Side ◽  
Single Tooth ◽  
Cad Cam ◽  
Fixed Dental Prostheses ◽  
Implant Prosthesis ◽  
Plaster Model ◽  
Aided Design

Abstract Background The use of intraoral scanners (IOS) has facilitated the use of digital workflows for the fabrication of implant-supported prostheses not only for single missing teeth, but also for multiple missing teeth. However, the clinical application of IOS and computer-aided design/manufacturing (CAD/CAM) in implant-supported prosthodontics remains unclear. This study aimed to compare the accuracy of digital and silicone impressions for single-tooth implants for bounded edentulous spaces and two-unit and three-unit implant-supported fixed dental prostheses for free-end edentulous spaces. Methods This study enrolled 30 patients (n = 10 for each of the three groups) with an average age of 61.9 years. Conventional silicone-based and digital IOS-based impressions were made for all patients, and the implant superstructures were fabricated. We measured the scan-body misfit and compared the accuracy of the impressions for single-unit, two-unit, and three-unit implant prostheses with a bounded edentulous space by superimposing the standard triangulated language (STL) data obtained from IOS over the STL data of the plaster model used for final prosthesis fabrication. The scan bodies of the superimposed single-molar implant, two-unit implant prosthesis without teeth on the mesial side, two-unit implant prosthesis without teeth on the distal side, three-unit implant prosthesis without teeth on the mesial side, and three-unit implant prosthesis without teeth on the distal side were designated as A, B1, B2, C1, and C2, respectively. The misfit for each scan body was calculated and the accuracies were compared using the Tukey–Kramer method. Results The average scan-body misfit for conditions A, B1, B2, C1, and C2 was 40.5 ± 18.9, 45.4 ± 13.4, 56.5 ± 9.6, 50.7 ± 14.9, and 80.3 ± 12.4 μm, respectively. Significant differences were observed between the accuracies of A and B2, A and C2, and C1 and C2 (P < 0.001). Conclusions IOS and CAD/CAM can find clinical applications for implant-supported prostheses of up to three units for a bounded edentulous saddle. The use of IOS could render implant treatment easier, benefiting both the surgeons and patients. Prosthesis maladjustment may lead to peri-implantitis and prosthetic fracture. Therefore, further validation of the accuracy of IOS impressions is required in patients with multiple missing teeth in long-span implant prostheses.

scholarly journals Evaluation of Active Tactile Perception of Single Tooth Implant Prosthesis

2013 ◽  
Vol 4 (1) ◽  
pp. 1-6
Author(s):  
CL Satish Babu ◽  
Agnelo Michael Reveredo ◽  
K Sneha Priya ◽  
Rohit Pandurangappa ◽  
KR Jnanadev
Keyword(s):  
Tactile Perception ◽  
Single Tooth ◽  
Implant Prosthesis ◽  
Single Tooth Implant

scholarly journals Functional Band and Loop Space Maintainers in Children

2019 ◽  
Vol 2019 ◽  
pp. 1-4
Author(s):  
V. Vinothini ◽  
A. Sanguida ◽  
A. Selvabalaji ◽  
G. S. Prathima ◽  
M. Kavitha
Keyword(s):  
Clinical Application ◽  
Loop Space ◽  
Single Tooth ◽  
Space Maintainer ◽  
Space Maintenance ◽  
Band And Loop

Premature loss of teeth in children leads to space loss and affects arch integrity. The band and loop space maintainer is used in majority of patients requiring single tooth space maintenance in both primary and mixed dentitions. It preserves the proximal dimensions, but it is nonfunctional. This paper describes a method to modify the conventional band and loop space maintainer into a functional one and reports its clinical application and follow-up in five children.

Immediate functional loading of implants in single tooth replacement: a prospective clinical multicenter study

2008 ◽  
Vol 19 (8) ◽  
pp. 740-748 ◽  
Author(s):  
Mauro Donati ◽  
Vincenzo La Scala ◽  
Mauro Billi ◽  
Biagio Di Dino ◽  
Paolo Torrisi ◽  
...  
Keyword(s):  
Multicenter Study ◽  
Tooth Replacement ◽  
Single Tooth ◽  
Functional Loading

scholarly journals Bending Fatigue Behavior of 17-4 PH Gears Produced by Additive Manufacturing

2021 ◽  
Vol 11 (7) ◽  
pp. 3019
Author(s):  
Franco Concli ◽  
Luca Bonaiti ◽  
Riccardo Gerosa ◽  
Luca Cortese ◽  
Filippo Nalli ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Specific Resistance ◽  
Fatigue Behavior ◽  
Powder Bed ◽  
Bending Fatigue ◽  
Experimental Campaign ◽  
Single Tooth ◽  
Final Failure ◽  
Effective Design ◽  
Resistance Data

The introduction of Additive Manufacturing (AM) is changing the way in which components and machines can be designed and manufactured. Within this context, designers are taking advantage of the possibilities of producing parts via the addition of material, defining strategies, and exploring alternative design or optimization solutions (i.e., nonviable using subtractive technologies) of critical parts (e.g., gears and shafts). However, a safe and effective design requires specific resistance data that, due to the intrinsic modernity of additive technologies, are not always present in the literature. This paper presents the results of an experimental campaign performed on gear-samples made by 17-4 PH and produced via Laser Powder Bed Fusion (PBF-LB/M). The tests were executed using the Single Tooth Bending Fatigue (STBF) approach on a mechanical pulsator. The fatigue limit was determined using two different statistical approaches according to Dixon and Little. The obtained data were compared to those reported in the ISO standard for steels of similar performance. Additional analyses, i.e., Scanning Electron Microscopy SEM, were carried out to provide a further insight of the behavior 17-4PH AM material and in order to investigate the presence of possible defects in the tested gears, responsible for the final failure.

scholarly journals Caries and Restoration Detection Using Bitewing Film Based on Transfer Learning with CNNs

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4613
Author(s):  
Yi-Cheng Mao ◽  
Tsung-Yi Chen ◽  
He-Sheng Chou ◽  
Szu-Yin Lin ◽  
Sheng-Yu Liu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Rapid Development ◽  
Radiographic Examination ◽  
Analysis Model ◽  
Common Procedure ◽  
Medical Treatments ◽  
Pass Filter ◽  
Single Tooth ◽  
Imaging Research

Caries is a dental disease caused by bacterial infection. If the cause of the caries is detected early, the treatment will be relatively easy, which in turn prevents caries from spreading. The current common procedure of dentists is to first perform radiographic examination on the patient and mark the lesions manually. However, the work of judging lesions and markings requires professional experience and is very time-consuming and repetitive. Taking advantage of the rapid development of artificial intelligence imaging research and technical methods will help dentists make accurate markings and improve medical treatments. It can also shorten the judgment time of professionals. In addition to the use of Gaussian high-pass filter and Otsu’s threshold image enhancement technology, this research solves the problem that the original cutting technology cannot extract certain single teeth, and it proposes a caries and lesions area analysis model based on convolutional neural networks (CNN), which can identify caries and restorations from the bitewing images. Moreover, it provides dentists with more accurate objective judgment data to achieve the purpose of automatic diagnosis and treatment planning as a technology for assisting precision medicine. A standardized database established following a defined set of steps is also proposed in this study. There are three main steps to generate the image of a single tooth from a bitewing image, which can increase the accuracy of the analysis model. The steps include (1) preprocessing of the dental image to obtain a high-quality binarization, (2) a dental image cropping procedure to obtain individually separated tooth samples, and (3) a dental image masking step which masks the fine broken teeth from the sample and enhances the quality of the training. Among the current four common neural networks, namely, AlexNet, GoogleNet, Vgg19, and ResNet50, experimental results show that the proposed AlexNet model in this study for restoration and caries judgments has an accuracy as high as 95.56% and 90.30%, respectively. These are promising results that lead to the possibility of developing an automatic judgment method of bitewing film.

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