Multi-Scale Characterization of Conventional and Immediate Dental Implant Systems.

We hypothesized that the different post-implantation healing stages between the conventional and immediate implantations produce different amounts and tissue composition of the peri-implant bone. Thus, the objective of the current study was to examine whether the stability of dental implant systems is associated with characteristics of the interfacial bone area at different post-implanation healing periods. Mandibular molars were extracted from each beagle dog.

Effectiveness of Machine Learning in Predicting Orthodontic Tooth Extractions: A Multi-Institutional Study.

The study aimed to evaluate the effectiveness of machine learning in predicting whether orthodontic patients would require extraction or non-extraction treatment using data from two university datasets. A total of 1135 patients, with 297 from University 1 and 838 from University 2, were included during consecutive enrollment periods. The study identified 20 inputs including 9 clinical features and 11 cephalometric measurements based on previous research.

Artificial Intelligence for Predicting the Aesthetic Component of the Index of Orthodontic Treatment Need.

The aesthetic component (AC) of the Index of Orthodontic Treatment Need (IOTN) is internationally recognized as a reliable and valid method for assessing aesthetic treatment need. The objective of this study is to use artificial intelligence (AI) to automate the AC assessment. A total of 1009 pre-treatment frontal intraoral photos with overjet values were collected.

Osteoclast-Driven Polydopamine-to-Dopamine Release: An Upgrade Patch for Polydopamine-Functionalized Tissue Engineering Scaffolds.

Polydopamine, a mussel-inspired self-adherent polymer of dopamine, has impressive adhesive properties and thus is one of the most versatile approaches to functionalize tissue engineering scaffolds. To date, many types of polydopamine-functionalized scaffolds have been manufactured and extensively applied in bone tissue engineering at the preclinical stage. However, how polydopamine is biodegraded and metabolized during the bone healing process and the side effects of its metabolite remain largely unknown.

Nociceptor mechanisms underlying pain and bone remodeling via orthodontic forces: toward no pain, big gain.

Orthodontic forces are strongly associated with pain, the primary complaint among patients wearing orthodontic braces. Compared to other side effects of orthodontic treatment, orthodontic pain is often overlooked, with limited clinical management. Orthodontic forces lead to inflammatory responses in the periodontium, which triggers bone remodeling and eventually induces tooth movement.

Artificial Intelligence for 3D Reconstruction from 2D Panoramic X-rays to Assess Maxillary Impacted Canines.

The objective of this study was to explore the feasibility of current 3D reconstruction in assessing the position of maxillary impacted canines from 2D panoramic X-rays. A dataset was created using pre-treatment CBCT data from a total of 123 patients, comprising 74 patients with impacted canines and 49 patients without impacted canines. From all 74 subjects, we generated a dataset containing paired 2D panoramic X-rays and pseudo-3D images.

Biomechanical analysis for different mandibular total distalization methods with clear aligners: A finite element study.

Objective: : The purpose of this finite element method (FEM) study was to analyze the biomechanical differences and tooth displacement patterns according to the traction direction, methods, and sites for total distalization of the mandibular dentition using clear aligner treatment (CAT).

Methods: : A finite element analysis was performed on four FEM models using different traction methods (via a precision cut hook or button) and traction sites (mandibular canine or first premolar). A distalization force of 1.

Optineurin regulates osteoblast function in an age-dependent fashion in a mouse model of Paget's disease of bone.

Paget's disease of bone (PDB) is a degenerative disorder affecting the skull and bones. Hyperactive osteoclasts (OCs) initiate bone degradation in the early stage, followed by increased bone formation by osteoblasts (OBs) in trabecular bones during the advanced stage. This OB-OC uncoupling results in bone deformations and irregular trabecular bone patterns.

Nrf2 differentially regulates osteoclast and osteoblast differentiation for bone homeostasis.

Nuclear factor erythroid-derived factor 2-related factor 2 (Nrf2) is a master regulator of antioxidant response and protects cells from excessive oxidative stress. Nrf2 emerges as a prospective therapeutic target for metabolic bone disorders, in which the balance between osteoblastic bone formation and osteoclastic bone resorption is disrupted. However, the molecular mechanism through which Nrf2 modulates bone homeostasis remains unclear.

Comparison of maxillary anterior tooth movement between Invisalign and fixed appliances.

Introduction: This research project aimed to compare the number of maxillary incisors and canine movement between Invisalign and fixed orthodontic appliances using artificial intelligence and identify any limitations of Invisalign.

Methods: Sixty patients (Invisalign, n = 30; braces, n = 30) were randomly selected from the Ohio State University Graduate Orthodontic Clinic archive. Peer Assessment Rating (PAR) analysis was used to indicate the severity of the patients in both groups.

Optineurin regulates NRF2-mediated antioxidant response in a mouse model of Paget's disease of bone.

Degenerative diseases affecting the nervous and skeletal systems affect the health of millions of elderly people. Optineurin (OPTN) has been associated with numerous neurodegenerative diseases and Paget's disease of bone (PDB), a degenerative bone disease initiated by hyperactive osteoclastogenesis. In this study, we found age-related increase in OPTN and nuclear factor E2-related factor 2 (NRF2) in vivo.

Assessment of malalignment factors related to Invisalign treatment time aided by automated imaging processes.

Objectives: To identify predictors regarding the type and severity of malocclusion that affect total Invisalign treatment duration based on an intraoral digital scan.

Materials And Methods: The subjects of this retrospective clinical cohort were 116 patients treated with Invisalign. A deep learning method was used for automated tooth segmentation and landmark identification of the initial and final digital models.

Accuracy of three-dimensional printed models derived from cone-beam computed tomography.

Objectives: To determine the accuracy of three-dimensional (3D) printed models fabricated from cone-beam computed tomography (CBCT) scans of human mandibular dry skulls in comparison with models derived from intraoral scanner (IOS) data.

Materials And Methods: Six human mandibular dry skulls were scanned by IOS and CBCT. Digital models (DMs) constructed from the IOS and CBCT data were fabricated physically using a 3D printer.

Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.

Accurately segmenting teeth and identifying the corresponding anatomical landmarks on dental mesh models are essential in computer-aided orthodontic treatment. Manually performing these two tasks is time-consuming, tedious, and, more importantly, highly dependent on orthodontists' experiences due to the abnormality and large-scale variance of patients' teeth. Some machine learning-based methods have been designed and applied in the orthodontic field to automatically segment dental meshes (e.

Orthodontic loading activates cell-specific autophagy in a force-dependent manner.

Introduction: Orthodontic tooth movement (OTM) relies on bone remodeling and controlled aseptic inflammation. Autophagy, a conserved homeostatic pathway, has been shown to play a role in bone turnover. We hypothesize that autophagy participates in regulating bone remodeling during OTM in a force-dependent and cell type-specific manner.

A multifactorial intervention to increase adherence to oral appliance therapy with a titratable mandibular advancement device for obstructive sleep apnea: a randomized controlled trial.

Purpose: Obstructive sleep apnea (OSA) is a common chronic condition, associated with several conditions that account for leading causes of mortality. Adherence to treatment of a chronic condition is, along with treatment efficacy, a major determinant of treatment outcome. The aim of this study was to test whether or not a multifactorial intervention in addition to standard care increases adherence rates in patients using a titratable oral appliance for OSA.

Prediction of maxillary canine impaction using eruption pathway and angular measurement on panoramic radiographs.

Objectives: To compare the normal eruption pattern and angulation in impacted maxillary canines using panoramic radiographs to predict maxillary canine impaction.

Materials And Methods: Patients aged 6 to 15 years were classified into the normal eruption group (n = 229) and the impaction group (n = 191). At least two panoramic radiographs were taken in the normal eruption group during the eruption process of the maxillary canine.

Understanding technology adoption by orthodontists: A quantitative study.

Introduction: Digital scanning, treatment planning, 3-dimensional imaging, and printing are changing the practice of orthodontics. These tools are adopted with the hope that treatment becomes more predictable, efficient, and effective while reducing adverse outcomes. Digital tools are impacting care, but knowledge of nationwide adoption trends and motivators is incomplete.

Biomimetic polydopamine-laced hydroxyapatite collagen material orients osteoclast behavior to an anti-resorptive pattern without compromising osteoclasts' coupling to osteoblasts.

Polydopamine-assisted modification for bone substitute materials has recently shown great application potential in bone tissue engineering due to its excellent biocompatibility and adhesive properties. A scaffold material's impact on osteoclasts is equally as important as its impact on osteoblasts when considering tissue engineering for bone defect repair, as healthy bone regeneration requires an orchestrated coupling between osteoclasts and osteoblasts. How polydopamine-functionalized bone substitute materials modulate the activity of osteoblast lineage cells has been extensively investigated, but much less is known about their impact on osteoclasts.

Educational debt and the gender gap: Understanding factors influencing orthodontists' career decisions.

Introduction: Orthodontic residents face challenges unparalleled to their predecessors, including competitive marketplaces, rising debt burdens, and changing demographics that have contributed to the shift in initial career choice from owner to employee. We aim to understand factors important to orthodontists at different career stages and the impact on job satisfaction through a sequential mixed methodology study.

Methods: Semistructured interviews were conducted with 25 orthodontic residents and practitioners.

Machine learning from clinical data sets of a contemporary decision for orthodontic tooth extraction.

Objective: To examine the robustness of the published machine learning models in the prediction of extraction vs non-extraction for a diverse US sample population seen by multiple providers.

Setting And Sample Population: Diverse group of 838 patients (208 extraction, 630 non-extraction) were consecutively enrolled.

Materials And Methods: Two sets of input features (117 and 22) including clinical and cephalometric variables were identified based on previous studies.

Deficiency of optineurin enhances osteoclast differentiation by attenuating the NRF2-mediated antioxidant response.

Abnormally increased resorption contributes to bone degenerative diseases such as Paget's disease of bone (PDB) through unclear mechanisms. Recently, the optineurin (OPTN) gene has been implicated in PDB, and global OPTN knockout mice (Optn) were shown to exhibit increased formation of osteoclasts (osteoclastogenesis). Growing evidence, including our own, has demonstrated that intracellular reactive oxygen species (ROS) stimulated by receptor activator of nuclear factor kappa-B ligand (RANKL) can act as signaling molecules to promote osteoclastogenesis.