Remodeling of the Temporomandibular Joint After Mandibular Setback Surgery: A 3D Cephalometric Analysis.

BACKGROUND: Condylar adaptations following orthognathic surgery remain an area of interest. Prior studies do not use 3-dimensional imaging modalities and lack standardization in the choice of osteotomy and movement when assessing condylar changes. PURPOSE: The purpose of this study was to use 3-dimensional cephalometry to measure the association between osteotomy type (sagittal split osteotomy [SSO] vs vertical ramus osteotomy [VRO]) and changes in condylar volume and position. STUDY DESIGN, SETTING, AND SAMPLE: This is a retrospective cohort study from January 2021 through December 2022 of patients at Bellevue Hospital in New York City, New York who were treated with either SSO or VRO for the correction of Class III skeletal malocclusion. PREDICTOR/EXPOSURE/INDEPENDENT VARIABLE: The primary predictor was the type of mandibular osteotomy, sagittal split osteotomy, and vertical ramus osteotomy. MAIN OUTCOME VARIABLES: The primary outcomes were changes in condylar volume (change measured in mm3) and relative position (anterior-posterior change utilizing the Pullinger and Hollinder method). COVARIATES: Covariates included patient age, sex, setback magnitude, temporomandibular joint symptoms, and fixation method for SSO patients. ANALYSES: Univariate comparisons were performed between independent variables and study outcomes. Volume changes were compared within each predictor using paired t-tests. Position changes were compared within each predictor using χ2 tests. If there were multiple significant univariate predictors, multiple regression models were created to predict volume and position changes. A P < .05 value was considered statistically significant. RESULTS: The final sample comprised 30 condyles derived from 30 subjects. Mean age was 22.7 years (SD = 5.7) and mean setback was 3.9 mm (SD = 0.9). Twenty two condyles (73.3%) were subject to SSO with fixation, while the remaining 8 (26.7%) condyles were subject to intraoral VRO without fixation. When compared to VRO, condyles manipulated with SSO had greater volume loss (-177.2 vs -60.9 mm3; P = .03) and positional change (68.2 vs 12.5%; P < .01). Self-reported measures of postoperative pain, internal derangement, and myofascial symptoms were not significantly associated with either volume or positional changes. CONCLUSIONS AND RELEVANCE: The SSO resulted in greater postoperative condylar volume loss and positional changes. These volume and positional changes were not correlated with self-reported temporomandibular disorder symptoms.

Machine Learning and Artificial Intelligence: A Web-Based Implant Failure and Peri-implantitis Prediction Model for Clinicians.

PURPOSE: To develop a machine learning model that can predict dental implant failure and peri-implantitis as a tool for maximizing implant success. MATERIALS AND METHODS: This study used a supervised learning model to retrospectively analyze 398 unique patients receiving a total of 942 dental implants presenting at the Philadelphia Veterans Affairs Medical Center from 2006 to 2013. Logistic regression, random forest classifiers, support vector machines, and ensemble techniques were employed to analyze this dataset. RESULTS: The random forest model possessed the highest predictive performance on test sets, with receiver operating characteristic area under curves (ROC AUC) of 0.872 and 0.840 for dental implant failures and peri-implantitis, respectively. The five most important features correlating with implant failure were amount of local anesthetic, implant length, implant diameter, use of preoperative antibiotics, and frequency of hygiene visits. The five most important features correlating with peri-implantitis were implant length, implant diameter, use of preoperative antibiotics, frequency of hygiene visits, and presence of diabetes mellitus. CONCLUSION: This study demonstrated the ability of machine learning models to assess demographics, medical history, and surgical plans, as well as the influence of these factors on dental implant failure and peri-implantitis. This model may serve as a resource for clinicians in the treatment of dental implants. Int J Oral Maxillofac Implants 2023;38:576-582. doi: 10.11607/jomi.9852.

Does implant placement using a minimally invasive technique increase early failures among trainees at an academic center?

PURPOSE: This study aims to identify whether dental implants placed using a flapless technique have a higher early failure rate, defined as failure within 6 months of placement, compared to implants placed with flap elevation when a surgical guide is not used. METHODS: A retrospective cohort study was conducted to evaluate implants placed with either flapless (FL) or mucoperiosteal flap (MF) surgery between 2006 and 2012 at the Philadelphia VA Medical Center (PVAMC). Implant status after FL or MF surgery was assessed using dental encounter and radiographs at subsequent follow-up appointments to assess for early implant failures within 6 months of implant placement. RESULTS: The FL technique was used to place 89 implants in 38 subjects, while the MF technique was used to place 381 implants in 139 subjects. Early failure occurred in 37 implants, of which 13 occurred in the FL group and 24 occurred in the MF group. FL surgery was found to be associated with a 265% increase in early implant failure (OR 2.653; 95% CL 1.287-5.469) and was statistically significant (p = 0.0064). Residents were over 200% more likely to have an early implant failure when using the FL technique (OR 2.314; 95% CL 1.112-4.816), CONCLUSIONS: Analysis revealed flapless implant placement was associated with higher early implant failure rates. In addition, early failures were more likely to occur when residents placed an implant using the flapless technique. While FL surgery can result in long-term success, it is a more technique-sensitive approach that requires greater clinical skill and stricter case selection to perform.

Are proton pump inhibitors associated with implant failure and peri-implantitis?

OBJECTIVE: Proton pump inhibitors (PPIs) may be linked to implant failure by affecting bone metabolism and osseointegration. This study evaluated how PPIs influence long-term implant failure and peri-implantitis in PPI users and nonusers. STUDY DESIGN: This was a retrospective cohort study of patients treated at the Philadelphia Veterans Affairs Medical Center between 2006 and 2013. The primary predictor variable was PPI use. Outcome variables were long-term implant failure and the presence of peri-implantitis. Data gathered included demographic characteristics, medical comorbidities, implant location, and dimensions. Multivariate regression models measured independent factor associations. The final study cohort contained 933 implants placed in 284 patients. A total of 323 (32.6%) implants were placed in patients with ongoing PPI use. PPI users were less likely to smoke (22.1% vs 31.9%; P < .01) and use illicit drugs (5.0% vs 9.7%; P = .01) and more likely to have undergone prior bone grafting (18.3% vs 12.9%; P = .03). RESULTS: PPI use lost significance after controlling for confounding factors and was not an independent predictor of implant failure (odds ratio [OR], 0.801; 95% confidence interval [CI], 0.56-1.15; P = .24) or peri-implantitis (OR, 0.801; 95% CI, 0.56-1.15; P = .24). CONCLUSIONS: Our study found no independent associations between PPI use and implant failure or peri-implantitis. Contrary to published literature, PPIs may not influence implant health.

Does alcohol consumption protect against late dental implant failures?

PURPOSE: Social factors have been implicated in the development of peri-implant pathologies, including implant failure. This study aims to investigate whether alcohol consumption affects late dental implant failures. METHODS: A retrospective cohort study evaluated implants placed between 2006 and 2012 at the Philadelphia Veterans Affairs Medical Center. The primary predictor variable was alcohol consumption, measured as nonconsumption and mild, moderate, and heavy consumption. The primary outcome variable was late dental implant failure. Univariate, bivariate, and multivariate statistics were applied, with P < .05 used to define statistical significance. RESULTS: Our cohort consisted of 103 patients and 295 implants with a 5-year minimum follow-up. Most patients were male (93%) with an average age of 60 at the time of implant placement. Late implant failure was associated with 30 implants. Compared to nonconsumption, mild consumption was associated with a 75% decrease in late implant failure (P = .0494), moderate consumption was associated with a 60% decrease (P = .3826), and heavy consumption was associated with a 200% increase (P < .1782). Compared to mild consumption, heavy consumption was associated with an 847% increase in late failure (P = .0135). CONCLUSIONS: Results from this retrospective cohort analysis suggest that mild alcohol consumption is associated with a decrease in late dental implant failures.

Hygiene Recall in Diabetic and Nondiabetic Patients: A Periodic Prognostic Factor in the Protection Against Peri-Implantitis?

PURPOSE: Diabetes mellitus is associated with an increased risk of poor outcomes with dental implant placement. This study aims to identify if frequency of hygiene visits is a protective factor for the development of peri-implantitis in diabetic patients. METHODS: A retrospective cohort design was conducted on patients presenting for dental implant placement at the Philadelphia Veterans Affairs (VA) Medical Center from 2006 to 2012. The primary predictor variable was hygiene frequency, recorded as either infrequent, annual (7-12 month recall), or biannual (≤6-month recall). The number of months between implant placement and the presence of peri-implantitis was the primary outcome (time-to-peri-implantitis) variable, which was assessed on a subject level and adjusted for clustered, correlated multiple implants on the same subject. Additional variables were greater than or equal to 60 years of age, male gender, smokers, short implant length, diabetes, uncontrolled diabetes, and removable prostheses. Descriptive, univariate, and Cox proportional hazards regression statistics were computed to measure associations with peri-implantitis with P ≤ .05 used to define statistical significance. RESULTS: The study sample was composed of 286 patients. In total, 748 implants were placed. Subjects greater than or equal to 60 years of age were 2 times more likely to develop peri-implantitis (hazards ratio (HR) = 2.015, 95% Cl (0.985-4.119), P = .0549). Subjects receiving implant-supported removable prostheses were 2.3 times more likely to develop peri-implantitis (HR = 2.315, 95% CI (1.006-5.327), P = .0485). With each hygiene visit, patients' risk of developing peri-implantitis decreased 20% (HR = 0.805, 95% Cl (0.394-1.647), P = .5528). In addition, diabetic patients were 49% more likely to develop peri-implantitis (HR = 1.491, 95% CI (0.758-2.936), P = .2475) than nondiabetic patients. CONCLUSIONS: Diabetic patients may be at increased risk for the development of peri-implantitis and an increased frequency of hygiene visits may reduce peri-implant diseases.

The impact of COVID-19: Considerations for future dental conferences.

The onset of coronavirus disease 19 (COVID-19) impacted all facets of global communities. As such, dental organizations must reconsider the traditional format of conferences in order to abide by public health guidelines. Such an adjustment is required in an effort to limit the footprint and ensure the safety of its participants. This article aims to provide guidance to reformat a traditional conference to a virtual platform. Recommendations are made pertaining to the structure of organizational committees, the intricacies of digital platforms, any associated costs, and adjustments to advertising and sponsorships. The authors also provide direction regarding changes in scheduling, and suggestions in order to replicate the social aspect of academic conferences. Careful consideration of the existing format can help design an efficient virtual platform that will continue to yield professional growth and drive the frontier of research in dentistry during this pandemic.