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1.
Oral Dis ; 2024 Mar 19.
Article in English | MEDLINE | ID: mdl-38501334

ABSTRACT

OBJECTIVE: Peri-implantitis is one of the most common complications of implants. However, its pathogenesis has not been clarified. In recent years, mouse models are gradually being used in the study of peri-implantitis. This review aims to summarize the methods used to induce peri-implantitis in mice and their current applications. METHOD: Articles of peri-implantitis mouse models were collected. We analyzed the various methods of inducing peri-implantitis and their application in different areas. RESULTS: Most researchers have induced peri-implantitis by silk ligatures. Some others have induced peri-implantitis by Pg gavage and LPS injection. Current applications of peri-implantitis mouse models are in the following areas: investigation of pathogenesis and exploration of new interventions, comparison of peri-implantitis with periodontitis, the interaction between systemic diseases and peri-implantitis, etc. CONCLUSION: Silk ligature for 2-4 weeks, Pg gavage for 6 weeks, and LPS injection for 6 weeks all successfully induced peri-implantitis in mice. Mice have the advantages of mature gene editing technology, low cost, and short time to induce peri-implantitis. It has applications in the study of pathogenesis, non-surgical treatments, and interactions with other diseases. However, compared with large animals, mice also have a number of disadvantages that limit their application.

2.
Int J Oral Sci ; 15(1): 49, 2023 Nov 23.
Article in English | MEDLINE | ID: mdl-37996420

ABSTRACT

Peri-implantitis is one of the most important biological complications in the field of oral implantology. Identifying the causative factors of peri-implant inflammation and osteolysis is crucial for the disease's prevention and treatment. The underlying risk factors and detailed pathogenesis of peri-implantitis remain to be elucidated. Titanium-based implants as the most widely used implant inevitably release titanium particles into the surrounding tissue. Notably, the concentration of titanium particles increases significantly at peri-implantitis sites, suggesting titanium particles as a potential risk factor for the condition. Previous studies have indicated that titanium particles can induce peripheral osteolysis and foster the development of aseptic osteoarthritis in orthopedic joint replacement. However, it remains unconfirmed whether this phenomenon also triggers inflammation and bone resorption in peri-implant tissues. This review summarizes the distribution of titanium particles around the implant, the potential roles in peri-implantitis and the prevalent prevention strategies, which expects to provide new directions for the study of the pathogenesis and treatment of peri-implantitis.


Subject(s)
Dental Implants , Osteolysis , Peri-Implantitis , Humans , Peri-Implantitis/chemically induced , Peri-Implantitis/pathology , Titanium/pharmacology , Dental Implants/adverse effects , Osteolysis/chemically induced , Osteolysis/complications , Osteolysis/pathology , Inflammation/chemically induced
3.
Int J Oral Maxillofac Implants ; 38(3): 553-561, 2023.
Article in English | MEDLINE | ID: mdl-37279225

ABSTRACT

PURPOSE: To evaluate the cumulative survival rate (CSR) of implants placed by Chinese dentists who lacked structured training and to identify the dentist-related risk factors associated with implant failure. MATERIALS AND METHODS: Data from 2,036 patients who underwent implant-supported restoration at a university-affiliated stomatology hospital were collected. CSR was regarded as the dependent variable. Patient-related characteristics (age, sex, insertion site, and surgical complexity) and dentist-related factors (experience, number of implant brands used, education level, sex, and specialty) were collected as independent variables. The chi-square test was used to identify dentist-related factors for implant failure after addressing patient-related potential confounders using propensity score matching (PSM). Dentist- and patient-related risk factors were further analyzed using multivariable logistic regression within the subgroups. RESULTS: The CSRs were 98.48% for patients (with single or multiple implants) and 98.86% for implants after 48 to 60 months of observation. Dentists with < 5 years of experience and specialists in implant dentistry were significantly associated with implant failure after addressing potential patient-related confounders. Within the group of dentists with < 5 years of experience, complicated cases were the major risk factor. For the group of specialists in implant dentistry, < 5 years of experience and male patient were the major risk factors. CONCLUSION: New dentists (< 5 years of experience) and specialists in implant dentistry are considered to be dentist-related risk factors for implant failure. This confirms that a learning curve exists for new specialists to reach the level of proficiency and expertise. Int J Oral Maxillofac Implants 2023;38:553-561. doi: 10.11607/jomi.9969.


Subject(s)
Dental Implants , Humans , Male , Dental Implants/adverse effects , Retrospective Studies , Cross-Sectional Studies , Risk Factors , Dentists
4.
Entropy (Basel) ; 25(6)2023 May 26.
Article in English | MEDLINE | ID: mdl-37372196

ABSTRACT

This paper is concerned with mobile coded orthogonal frequency division multiplexing (OFDM) systems. In the high-speed railway wireless communication system, an equalizer or detector should be used to mitigate the intercarrier interference (ICI) and deliver the soft message to the decoder with the soft demapper. In this paper, a Transformer-based detector/demapper is proposed to improve the error performance of the mobile coded OFDM system. The soft modulated symbol probabilities are computed by the Transformer network, and are then used to calculate the mutual information to allocate the code rate. Then, the network computes the codeword soft bit probabilities, which are delivered to the classical belief propagation (BP) decoder. For comparison, a deep neural network (DNN)-based system is also presented. Numerical results show that the Transformer-based coded OFDM system outperforms both the DNN-based and the conventional system.

5.
J Prosthet Dent ; 129(1): 125-130, 2023 Jan.
Article in English | MEDLINE | ID: mdl-36089545

ABSTRACT

STATEMENT OF PROBLEM: The outcome of implant-supported fixed complete dentures in edentulous patients with a history of periodontitis is unclear. PURPOSE: The purpose of this retrospective clinical study was to assess the clinical outcomes of immediate loaded fixed complete dentures in individuals with a history of periodontitis and to analyze risk factors related to implant failure. MATERIAL AND METHODS: A total of 642 implants (146 prostheses) in 119 patients were included. The follow-up period ranged from 2 to 7 years. Implant survival rates, marginal bone loss, mechanical complications, biologic complications, and patient satisfaction were evaluated. The Pearson chi-square test, independent samples t test, and multivariate generalized estimating equation were performed for statistical analysis (α=.05). RESULTS: Eleven implants in 9 patients failed, leading to overall survival rates of 98.3% at the implant level and 92.4% at the patient level. The mean ±standard deviation marginal bone loss was 0.62 ±0.86 mm, and marginal bone loss did not differ significantly between axial and tilted implants (P>.05). Mechanical complications were detected in 55 (37.7%) definitive prostheses; biologic complications were detected in 318 (49.5%) implants. Smokers had a significantly lower survival rate than nonsmokers (odds ratio: 6.880, P=.013). Bruxers had a significantly higher incidence of mechanical complications than nonbruxers (P<.001). CONCLUSIONS: The immediate loaded fixed complete denture supported by implants is a suitable treatment option for edentulous patients with a history of periodontitis, with high survival implant rates. Smoking is a risk factor for implant failure. Bruxism may increase the incidence of mechanical complications with implant-supported fixed complete dentures, and the overall biologic complication incidence is comparatively high.


Subject(s)
Alveolar Bone Loss , Biological Products , Dental Implants , Immediate Dental Implant Loading , Periodontitis , Humans , Dental Implants/adverse effects , Retrospective Studies , Alveolar Bone Loss/etiology , Periodontitis/chemically induced , Periodontitis/complications , Denture, Complete, Immediate , Dental Prosthesis, Implant-Supported/adverse effects , Follow-Up Studies , Treatment Outcome , Dental Restoration Failure
6.
Int J Oral Implantol (Berl) ; 15(2): 149-165, 2022 May 13.
Article in English | MEDLINE | ID: mdl-35546724

ABSTRACT

PURPOSE: To evaluate the in vitro cleaning effects of different decontamination methods and their impacts on surface characteristics using clinically failed TiUnite implants (Nobel Biocare, Kloten, Switzerland). MATERIALS AND METHODS: Thirty clinically failed TiUnite implants were treated using different decontamination methods. Group 1 (control group) received physiological saline irrigation; Group 2 underwent erythritol powder air polishing (AIRFLOW Master Piezon, EMS Dental, Nyon, Switzerland); Group 3 was treated with erythritol powder air polishing with ethylenediaminetetraacetic acid brushing (FileRite PRC, Pulpdent, Watertown, MA, USA); Group 4 received ultrasonic scaling with polyetheretherketone tips (EMS Dental); Group 5 underwent ultrasonic scaling with polyetheretherketone tips with ethylenediaminetetraacetic acid; and Group 6 was treated with a combination of ultrasonic scaling with polyetheretherketone tips, erythritol powder air polishing and ethylenediaminetetraacetic acid. Surface cleaning effects, quantified by relative contaminated area reduction and visual analogue scale score, as well as surface roughness and chemistry, were assessed after decontamination. The cleaning effects of each decontamination method were also compared between TiUnite and SLA (sandblasted, large-grit acid-etched; Straumann, Basel, Switzerland) implants. RESULTS: Group 6 showed the highest relative contaminated area reduction (stereoscopic microscopy 83.92%, scanning electron microscopy 96.40%), visual analogue scale score (2.83) and reduction in surface roughness (thread bottom -0.78 µm, tip -1.35 µm), as well as an almost maximal decrease in the proportion of carbon (thread bottom -12.33%, tip -8.77%) and increase in that of titanium (thread bottom 13.71%, tip 10.73%). Polyetheretherketone remnants were observed in Groups 4 and 5 but appeared to be reduced in Group 6. When comparing the outcomes with those for SLA implants, no significant differences were found. CONCLUSION: Within the limitations of the present study, the combination of ultrasonic scaling with polyetheretherketone tips, erythritol powder air polishing and ethylenediaminetetraacetic brushing achieved reasonable cleaning effects. The original surface modification did not seem to have any impact on the decontamination results for any of the methods examined.


Subject(s)
Dental Implants , Edetic Acid/chemistry , Erythritol/chemistry , Decontamination , Pilot Projects , Powders , Surface Properties
7.
Clin Oral Implants Res ; 33(2): 172-183, 2022 Feb.
Article in English | MEDLINE | ID: mdl-34808004

ABSTRACT

OBJECTIVE: To investigate the microbiome characteristics of peri-implant mucositis (PM) and peri-implantitis (PI), and to analyse the correlation between disease severity and submucosal microbial dysbiosis. MATERIALS AND METHODS: A cross-sectional study design was conducted. Submucosal biofilm samples from 27 PM sites and 37 PI sites from 64 patients were collected and analysed using 16S rRNA gene sequencing (Illumina). Differences in microbiological profiles between PM and PI were evaluated using the α-diversity, ß-diversity and linear discriminant analysis effect size (LEfSe) analysis. The relative abundances of the taxa at the phylum and genus levels were compared using the Wilcoxon rank test and logistic regression. The microbial dysbiosis index (MDI) was calculated, and its relationship with clinical measurements (probing depth, bleeding on probing and marginal bone loss, among others) was analysed using Pearson's correlation coefficient. RESULTS: The overall microbiome distribution in the PM and PI sites was similar according to α- and ß-diversity. Twenty-three taxa at the genus level and two taxa at the phylum level showed significant differences in relative abundance between the two clinical classifications. Five taxa at the genus level were screened out for the MDI calculation after logistic regression. No clinical measurements but marginal bone loss showed a significant positive correlation with microbial dysbiosis. CONCLUSION: The microbiome richness, diversity and distribution were similar in PM and PI sites, including both common periodontal bacteria and novel species. In addition, an increase in marginal bone loss was significantly associated with submucosal microbial dysbiosis.


Subject(s)
Dental Implants , Mucositis , Peri-Implantitis , Cross-Sectional Studies , Dysbiosis , Humans , RNA, Ribosomal, 16S/genetics , Severity of Illness Index
8.
Clin Oral Implants Res ; 32(3): 263-273, 2021 Mar.
Article in English | MEDLINE | ID: mdl-33314381

ABSTRACT

OBJECTIVE: To evaluate the surface topography and element proportion changes in clinically failed implants after different modalities in vitro debridement and to compare the cleaning effect of different method combinations. MATERIAL AND METHODS: Thirty clinical failed implants were treated by different debridement methods in vitro as follows: Group 1: physiologic saline irrigation; Group 2: glycine powder air polishing; Group 3: glycine powder air polishing + ethylenediaminetetraacetic acid (EDTA); Group 4: polyetheretherketone (PEEK) tip ultrasonic scaling; and Group 5: PEEK tip ultrasonic scaling + EDTA. The relative contaminated area reduction (RCAR), visual analogue scale (VAS, the higher value means, the better cleaning effect) and surface roughness were assessed using scanning electron microscopy (SEM), stereoscopic microscopy (SM) and white light interferometry (WLI). Surface chemistry was determined by energy dispersive spectroscopy (EDS). RESULTS: Group 4 and Group 5 showed higher RCARs (82.90%, 82.89%), VAS scores (2.61, 2.33) and roughness reductions (-0.85 µm, -1.80 µm). Group 3 attained the highest decrease of C% (carbon, -26.67%), O% (oxygen, -13.71%) and N% (nitrogen, -5.66%), and the highest increase of Ti% (titanium, 49.67%). PEEK remnants were detected on the implant surface of Groups 4 and 5. CONCLUSION: Within the limitation of the present in vitro design, PEEK tip ultrasonic scaling was more effective in eliminating visible contamination, while glycine powder air polishing combined with EDTA treatment was more conducive to expose the original surface element distribution. Both methods have their own advantages in decontamination, but none of them could reconstruct the surface as the pristine implant.


Subject(s)
Dental Implants , Debridement , Microscopy, Electron, Scanning , Surface Properties , Titanium
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