The Role of Central Sensitization in Autoimmune Connective Tissue Diseases: A Comparative Cross-Sectional Study.

Objective: To investigate the central sensitization (CS) in patients with autoimmune connective tissue diseases (ACTDs) and its relationship with disease activity, laboratory findings, medical treatments, organ involvements, and comorbidity.

Methods: One hundred and eleven patients with ACTDs and 40 healthy individuals were included. All patients were divided into three groups in terms of their diseases: Sjögren's syndrome (SS), rheumatoid arthritis (RA), and systemic lupus erythematosus (SLE).

Analysis and long-term outcomes of spontaneous cerebrospinal otorrhea repair via the middle cranial fossa approach.

Background: The incidence of spontaneous CSF otorrhea is increasing and knowledge about treatment management is growing.

Objectives: To analyse the cases operated the middle cranial fossa approach (MCFA) for spontaneous CSF otorrhea in our clinic and to evaluate the long-term surgical results in the light of the literature.

Methods: Demographic data, presenting complaints, complications, hearing outcomes, recurrence rates and long-term success of patients operated with MCFA between 2012 and 2022 in our tertiary care centre were evaluated.

Evaluation of temporomandibular joint disc displacement with MRI-based radiomics analysis.

Objectives: The purpose of this study was to propose a machine learning model and assess its ability to classify temporomandibular joint (TMJ) disc displacements on MR T1-weighted and proton density-weighted images.

Methods: This retrospective cohort study included 180 TMJs from 90 patients with TMJ signs and symptoms. A radiomics platform was used to extract imaging features of disc displacements.

Radiomics-Based Diagnosis in Dentomaxillofacial Radiology: A Systematic Review.

Radiomics is a quantitative tool for digital image analysis. This systematic review aims to investigate the scientific articles to evaluate the potential implications of Radiomics analysis in Dentomaxillofacial Radiology (DMFR). Studies regarding Radiomics applications in DMFR and human samples, in vivo study, a case reports/series if ≧5 samples were included, while case reports/series if < 5 samples, articles other than in English, abstracts without full text, and studies published before 2015 were excluded.

Regional variations in psoriatic arthritis: Insights from a nationwide multicenter analysis in Türkiye.

Objectives: The study aimed to investigate and compare clinical features, disease activity, and the overall disease burden among psoriatic arthritis (PsA) patients across seven distinct geographic regions in Türkiye.

Patients And Methods: A multicenter cross-sectional study involving 1,134 PsA patients from 25 referral centers across seven regions was conducted. Demographic and clinical characteristics, comorbidities, joint involvement, extra-articular manifestations, and disease activity measures were evaluated across regions.

Segmentation of periapical lesions with automatic deep learning on panoramic radiographs: an artificial intelligence study.

Periapical periodontitis may manifest as a radiographic lesion radiographically. Periapical lesions are amongst the most common dental pathologies that present as periapical radiolucencies on panoramic radiographs. The objective of this research is to assess the diagnostic accuracy of an artificial intelligence (AI) model based on U²-Net architecture in the detection of periapical lesions on dental panoramic radiographs and to determine whether they can be useful in aiding clinicians with diagnosis of periapical lesions and improving their clinical workflow.

Pierre Fauchard (1678-1761): Pioneering Dental Surgeon of the Enlightenment Age.

Pierre Fauchard, widely referred to as the "Father of Modern Dentistry," fundamentally transformed the field with his seminal 1728 publication,  Born circa 1677 in Brittany, France, Fauchard's early exposure to severe dental conditions during his naval service catalyzed his pursuit of advancements in dental science. Upon transitioning from naval service to establish a practice in Angers, and subsequently gaining acclaim in Paris, Fauchard systematically documented and organized dental practices, encompassing oral surgery, orthodontics, periodontics, and prosthodontics, thereby laying the foundational framework for contemporary dental practices. Fauchard's innovations included the use of materials such as lead, tin, and gold for dental fillings and the introduction of early orthodontic techniques, notably the  His treatise also emphasized the importance of preventive care and oral hygiene, which provided a basis for modern dental hygiene protocols.

Investigation of Phase Transformation and Fracture Pattern as a Result of Long-Term Chewing Simulation and Static Loading of Reduced-Diameter Zirconia Implants.

While zirconia implants exhibit osseointegration comparable to that of titanium, concerns arise regarding low-temperature degradation and its potential impact on fracture strength. This study investigated the phase transformation and fracture characteristics of zirconia dental implants after aging through chewing simulation and subsequent static loading. The experimental setup involved 48 one-piece monobloc zirconia implants with diameters of 3.

Dextrose neuroprolotherapy and occlusal splint treatment outcomes in occlusal trauma: Evaluation through ultrasound imaging.

Background: Occlusal trauma has become a common phenomenon among individuals today. Its primary source is bruxism, which involves unusual activities such as clenching and grinding during the day or sleep. The hypothesis is that with 5% dextrose neuroprolotherapy, both the trigger points and affected nerves will be healed, and the muscle will be relieved by eliminating the pain.

Interstitial Lung Disease in Primary Sjögren's Syndrome: Risk factors for occurrence and radiographic progression.

Objectives: The aim of this study is to investigate the characteristics of Primary Sjögren's syndrome (pSS)- interstitial lung disease (ILD) patients and compare them to those of pSS patients without ILD in the tertiary pSS-ILD cohort to evaluate potential risk factors for ILD occurrence and disease progression.

Methods: Patients followed up who met the 2016 American College of Rheumatology-European League Against Rheumatism classification criteria for pSS were retrospectively analyzed. The patients were grouped as those with ILD and those without ILD according to medical records.

Obesity might not alter tofacitinib drug survival in rheumatoid arthritis patients.

Introduction: Obese rheumatoid arthritis (RA) patients often show reduced responses to traditional treatments, including TNF inhibitors (TNFi). Considering the different mechanisms of action it is important to evaluate the efficacy of tofacitinib in obese patients. This study aims to explore the impact of obesity on the drug survival of tofacitinib in RA patients.

Gender-Specific Variations in Greater Palatine Foramen Anatomy: Insights from CBCT Scans in the North Cyprus Population.

BACKGROUND The greater palatine foramen (GPF) is anatomically located distal to the third maxillary molar tooth, midway between the midline of the palate and the dental arch. The GPF contains the major palatine artery, vein, and nerve, traversing the palatine sulcus. This study aimed to evaluate the anatomical position of the GPF in 93 women and 67 men at a single center in Cyprus using cone beam computed tomography (CBCT).

Prediction of bone invasion of oral squamous cell carcinoma using a magnetic resonance imaging-based machine learning model.

Objectives: Radiomics, a recently developed image-processing technology, holds potential in medical diagnostics. This study aimed to propose a machine-learning (ML) model and evaluate its effectiveness in detecting oral squamous cell carcinoma (OSCC) and predicting bone metastasis using magnetic resonance imaging (MRI).

Materials-methods: MRI radiomic features were extracted and analyzed to identify malignant lesions.

Accuracy of Artificial Intelligence for Cervical Vertebral Maturation Assessment-A Systematic Review.

To systematically review and summarize the existing scientific evidence on the diagnostic performance of artificial intelligence (AI) in assessing cervical vertebral maturation (CVM). This review aimed to evaluate the accuracy and reliability of AI algorithms in comparison to those of experienced clinicians. Comprehensive searches were conducted across multiple databases, including PubMed, Scopus, Web of Science, and Embase, using a combination of Boolean operators and MeSH terms.

A deep learning approach to detection of oral cancer lesions from intra oral patient images: A preliminary retrospective study.

Introduction: Oral squamous cell carcinomas (OSCC) seen in the oral cavity are a category of diseases for which dentists may diagnose and even cure. This study evaluated the performance of diagnostic computer software developed to detect oral cancer lesions in intra-oral retrospective patient images.

Materials And Methods: Oral cancer lesions were labeled with CranioCatch labeling program (CranioCatch, Eskişehir, Turkey) and polygonal type labeling method on a total of 65 anonymous retrospective intraoral patient images of oral mucosa that were diagnosed with oral cancer histopathologically by incisional biopsy from individuals in our clinic.

The diagnostic accuracy of cone beam computed tomography in detecting temporomandibular joint bony disorders: a systematic review.

Computed tomography (CT) has been recognized as a robust and dependable technique for delineating osseous alterations and anomalies within hard tissues. The necessity for accurate diagnosis and management of patients with temporomandibular disorders in dental practices has increasingly come to the forefront. There is ongoing scholarly debate regarding the equivalence of diagnostic outcomes yielded by cone beam computed tomography (CBCT), which offers greater accessibility in dental settings than traditional CT, in identifying bony changes within the temporomandibular joint (TMJ).

Micro-Computed Tomography Analysis of Resin and Calcium Silicate Based Sealers Removal in Mandibular Molars Curved Canals.

Objective: The removal of the root canal sealer is an important factor in nonsurgical retreatment. The aim of this study was to compare the removal of AH Plus, Well Root ST, and AH Plus Bioceramic Sealer using Protaper Universal retreatment files.

Methods: The curved mesio-buccal canals of extracted mandibular molars were prepared with the Protaper Gold file system (up to F2).

Automatic deep learning detection of overhanging restorations in bitewing radiographs.

Objectives: This study aimed to assess the effectiveness of deep convolutional neural network (CNN) algorithms for the detecting and segmentation of overhanging dental restorations in bitewing radiographs.

Methods: A total of 1160 anonymized bitewing radiographs were used to progress the artificial intelligence (AI) system for the detection and segmentation of overhanging restorations. The data were then divided into three groups: 80% for training (930 images, 2399 labels), 10% for validation (115 images, 273 labels), and 10% for testing (115 images, 306 labels).

Gender-Based Variation in Alveolar Bone Thickness of Maxillary Incisor Teeth: A CBCT Retrospective Study.

BACKGROUND This retrospective study from a single center in Cyprus aimed to assess labial (buccal) and palatal bone thickness in 6 anterior maxillary teeth of 120 adults using cone-beam computed tomography (CBCT). MATERIAL AND METHODS The CBCT scans of 120 patients (720 teeth) were examined, with scanning parameters of 90 kvP, 24 s, 4 mA, voxel size 0.3 mm, and field of view of 10×6 cm.

Comparison of Three Commercially Available, AI-Driven Cephalometric Analysis Tools in Orthodontics.

Cephalometric analysis (CA) is an indispensable diagnostic tool in orthodontics for treatment planning and outcome assessment. Manual CA is time-consuming and prone to variability. This study aims to compare the accuracy and repeatability of CA results among three commercial AI-driven programs: CephX, WebCeph, and AudaxCeph.

Morphological Variations of the Nasopalatine Canal in the North Cyprus Population: A Cone Beam Computed Tomography Study.

BACKGROUND This study aimed to evaluate the morphological characteristics of the anterior maxillary nasopalatine canal and the width of the buccal bone using cone-beam computed tomography (CBCT) in 150 adults in Northern Cyprus. MATERIAL AND METHODS The study included 150 participants, and their anterior maxillary morphometric measurements (eg, length of the nasopalatine canal and anteroposterior diameter of the nasal foramen) were taken using CBCT with the scanning parameters of 90 kvP, 24 s, 4 mA, voxel size 0.3 mm, and field of view 10×6 cm.

A Deep Learning Approach to Automatic Tooth Caries Segmentation in Panoramic Radiographs of Children in Primary Dentition, Mixed Dentition, and Permanent Dentition.

Objectives: The purpose of this study was to evaluate the effectiveness of dental caries segmentation on the panoramic radiographs taken from children in primary dentition, mixed dentition, and permanent dentition with Artificial Intelligence (AI) models developed using the deep learning method.

Methods: This study used 6075 panoramic radiographs taken from children aged between 4 and 14 to develop the AI model. The radiographs included in the study were divided into three groups: primary dentition (n: 1857), mixed dentition (n: 1406), and permanent dentition (n: 2812).