An Unusual Histopathological Presentation of Mandibular Osteosarcoma.

Jaw osteosarcoma (JOS) is a rare, distinct variant that differ from long bone osteosarcoma (LBOS) in several aspects. JOS typically appears about twenty years later than LBOS, displays a lower propensity for metastasis to other organs, and exhibits better survival rates. The dissimilarities in clinical and biological behavior between JOS and LBOS are likely due, at least in part, to variations in their respective microenvironments.

Automatic feature segmentation in dental panoramic radiographs.

Objective: The purpose of the present study was to verify the diagnostic performance of an AI system for the automatic detection of teeth, caries, implants, restorations, and fixed prosthesis on panoramic radiography.

Methods: This is a cross-sectional study. A dataset comprising 1000 panoramic radiographs collected from 500 adult patients was analyzed by an AI system and compared with annotations provided by two oral and maxillofacial radiologists.

Dilemma with implant placement in patients with florid cemento-osseous dysplasia: A literature review.

Methodology: An electronic search was done in PUBMED, SCOPUS, and a hand search was done in radiology, periodontology, and oral surgery journals. The search yielded 428 results, from which only 6 articles were selected for this literature review. Both prospective and retrospective studies were included.

Detection of periodontal bone loss patterns and furcation defects from panoramic radiographs using deep learning algorithm: a retrospective study.

Background: This retrospective study aimed to develop a deep learning algorithm for the interpretation of panoramic radiographs and to examine the performance of this algorithm in the detection of periodontal bone losses and bone loss patterns.

Methods: A total of 1121 panoramic radiographs were used in this study. Bone losses in the maxilla and mandibula (total alveolar bone loss) (n = 2251), interdental bone losses (n = 25303), and furcation defects (n = 2815) were labeled using the segmentation method.

Morphometric and morphological evaluation of mastoid emissary canal using cone-beam computed tomography.

Objectives: This study aimed to determine mastoid emissary canal's (MEC) and mastoid foramen (MF) prevalence and morphometric characteristics on cone-beam computed tomography (CBCT) images to underline its clinical significance and discuss its surgical consequences.

Methods: In the retrospective analysis, two oral and maxillofacial radiologists analyzed the CBCT images of 135 patients (270 sides). The biggest MF and MEC were measured in the images evaluated in MultiPlanar Reconstruction (MPR) views.

Effect of self-reported clinician experience level on perceptions of the relative rankings of risk factors for biological complications with dental implant therapy.

Statement Of Problem: The effect of clinician experience on the perception of risks for biological complications associated with dental implant therapy is unknown.

Purpose: The purpose of this study was to determine whether clinician experience levels, as assessed by the number of implants placed and/or restored, as well as by type of clinical experience (restorative/prosthodontic and/or surgical), influence the perception of risk for biological complications with dental implant therapy.

Material And Methods: A 10-item survey instrument was developed that asked participants from a convenience sample to rank different risk factors for peri-implant complications in the areas of patient history, clinical findings, and clinician choices and postimplant placement findings.

Nasopharynx evaluation in children of unilateral cleft palate patients and normal with cone beam computed tomography.

Objective: This study aimed to examine the morphological characteristics of the nasopharynx in unilateral Cleft lip/palate (CL/P) children and non-cleft children using cone beam computed tomography (CBCT).

Methods: A retrospective study consisted of 54 patients, of which 27 patients were unilateral CL/P, remaining 27 patients have no CL/P. Eustachian tubes orifice (ET), Rosenmuller fossa (RF) depth, presence of pharyngeal bursa (PB), the distance of posterior nasal spine (PNS)-pharynx posterior wall were quantitatively evaluated.

Deep-Learning-Based Automatic Segmentation of Parotid Gland on Computed Tomography Images.

This study aims to develop an algorithm for the automatic segmentation of the parotid gland on CT images of the head and neck using U-Net architecture and to evaluate the model's performance. In this retrospective study, a total of 30 anonymized CT volumes of the head and neck were sliced into 931 axial images of the parotid glands. Ground truth labeling was performed with the CranioCatch Annotation Tool (CranioCatch, Eskisehir, Turkey) by two oral and maxillofacial radiologists.

Automatic Feature Segmentation in Dental Periapical Radiographs.

While a large number of archived digital images make it easy for radiology to provide data for Artificial Intelligence (AI) evaluation; AI algorithms are more and more applied in detecting diseases. The aim of the study is to perform a diagnostic evaluation on periapical radiographs with an AI model based on Convoluted Neural Networks (CNNs). The dataset includes 1169 adult periapical radiographs, which were labelled in CranioCatch annotation software.

A Deep Learning Model for Idiopathic Osteosclerosis Detection on Panoramic Radiographs.

Objective: The purpose of the study was to create an artificial intelligence (AI) system for detecting idiopathic osteosclerosis (IO) on panoramic radiographs for automatic, routine, and simple evaluations.

Subject And Methods: In this study, a deep learning method was carried out with panoramic radiographs obtained from healthy patients. A total of 493 anonymized panoramic radiographs were used to develop the AI system (CranioCatch, Eskisehir, Turkey) for the detection of IOs.

Detecting the presence of taurodont teeth on panoramic radiographs using a deep learning-based convolutional neural network algorithm.

Objectives: Artificial intelligence (AI) techniques like convolutional neural network (CNN) are a promising breakthrough that can help clinicians analyze medical imaging, diagnose taurodontism, and make therapeutic decisions. The purpose of the study is to develop and evaluate the function of CNN-based AI model to diagnose teeth with taurodontism in panoramic radiography.

Methods: 434 anonymized, mixed-sized panoramic radiography images over the age of 13 years were used to develop automatic taurodont tooth segmentation models using a Pytorch implemented U-Net model.

Comparison of full and partial coverage crowns with CAD/CAM leucite reinforced ceramic blocks on fracture resistance and fractographic analysis.

To compare full and partial coverage crowns made with different CAD/CAM leucite reinforced ceramic blocks on fracture resistance and fractographic analysis. Full coverage and partial coverage crowns with finish line at 2 mm and 4 mm above the gingiva for molars made with IPS Empress CAD and Rosetta BM. After fatigue process, the fracture test and fractographic analysis were conducted.

Leadership diversity in science: Women editors of dental journals are underrepresented compared to women editors of medical journals.

Objectives: Increasing numbers of women are entering dentistry and medicine and it is anticipated that global leadership positions represent this demographic. In this study, the proportion of women editors of prominent medical and dental journals was compared.

Methods: A list of dental and medical journals, ranked by impact factor, were obtained through Web of Science Journal Citation Reports 2020.

Performance of a convolutional neural network algorithm for tooth detection and numbering on periapical radiographs.

Objectives: The present study aimed to evaluate the performance of a Faster Region-based Convolutional Neural Network (R-CNN) algorithm for tooth detection and numbering on periapical images.

Methods: The data sets of 1686 randomly selected periapical radiographs of patients were collected retrospectively. A pre-trained model (GoogLeNet Inception v3 CNN) was employed for pre-processing, and transfer learning techniques were applied for data set training.

Diagnostic charting of panoramic radiography using deep-learning artificial intelligence system.

Objectives: The goal of this study was to develop and evaluate the performance of a new deep-learning (DL) artificial intelligence (AI) model for diagnostic charting in panoramic radiography.

Methods: One thousand eighty-four anonymous dental panoramic radiographs were labeled by two dento-maxillofacial radiologists for ten different dental situations: crown, pontic, root-canal treated tooth, implant, implant-supported crown, impacted tooth, residual root, filling, caries, and dental calculus. AI Model CranioCatch, developed in Eskişehir, Turkey and based on a deep CNN method, was proposed to be evaluated.

Osteopathia striata in the mandible with cranial sclerosis: a case report and review of the literature.

Osteopathia striata with cranial sclerosis (OS-CS) is a bone dysplasia characterized by a linear striated pattern of sclerosis, especially in the long bones, and cranial sclerosis. It has variable clinical findings but distinctive radiological findings. Multiple oral and dental findings have been associated with this disease and can be seen during dental and/or medical imaging of the head and neck.

Conservative Ultrathin Veneer Restorations with Minimal Reduction: A 5-year Follow-up Report.

Aim And Objective: This case report shows how a feldspathic veneer with diagnostic wax-ups, subsequent mock-up, and reduction guides can lead to good patient esthetics and reports a 5-year follow-up.

Background: Conservative tooth preparation is important for the long-term success of adhesive dentistry as it has been shown that bonding to enamel is more predictable in obtaining better long-term success than dentin. To preserve enamel for optimal bonding, diagnostic wax-ups and the subsequent mock-up are the first tools in a restorative dentist's arsenal to find and address differences between current and ideal tooth proportions and also help toward an overall conservative approach.

Oral manifestation of Waardenburg syndrome: a case report and review of the literature.

Waardenburg syndrome is a rare autosomal dominant genetic disorder of neural crest cell migration. It is characterized by congenital sensorineural hearing loss, heterochromia iridis, depigmentation of hair and skin, and increased intercanthal distance. It is subdivided into four subtypes with I and II being most common.

Leadership education in prosthodontics: Development and impact of the Future Leaders in Prosthodontics (FLIP) workshops.

Statement Of Problem: The effectiveness of leadership education for prosthodontists is unknown.

Purpose: The purpose of this survey study was to evaluate the self-perceived impact a 2- to 2.5-day leadership education workshop in prosthodontics had on participants' professional, leadership, and management development.