Haptic dental simulators are gaining recognition for training dental students. However, there needs to be more evidence of their pedagogical effectiveness. The primary aims were to (1) identify the published studies related to the application of virtual reality (VR) and haptic technology in the restorative dentistry training of dental students, (2) recognize the outcome criteria used in the published studies, and (3) determine the subjective evaluation of VR and haptic technology in the restorative dentistry training by the students. A comprehensive literature search was conducted to find scholarly articles that assessed the utilization of VR and haptics in training students in restorative dentistry. The investigation was performed via seven online databases: Scopus, Web of Science Core Collection, PubMed, Science Direct Freedom Collection, Latin American & Caribbean Health Sciences Literature (LILACS), EMBASE, and MEDLINE. Of the 268 potential articles assessed, 22 met the inclusion criteria. Findings demonstrated feasibility and acceptability. Additionally, there was improved motor skill acquisition and retention and less time for dental restoration after haptic virtual reality training. With the rising evidence of efficacy and increased utilization of digital technologies, virtual reality, and haptics has a role in improving students’ education outcomes.

Haptic dental simulators are gaining recognition for training dental students. However, there needs to be more evidence of their pedagogical effectiveness. The primary aims were to (1) identify the published studies related to the application of virtual reality (VR) and haptic technology in the restorative dentistry training of dental students, (2) recognize the outcome criteria used in the published studies, and (3) determine the subjective evaluation of VR and haptic technology in the restorative dentistry training by the students. A comprehensive literature search was conducted to find scholarly articles that assessed the utilization of VR and haptics in training students in restorative dentistry. The investigation was performed via seven online databases: Scopus, Web of Science Core Collection, PubMed, Science Direct Freedom Collection, Latin American & Caribbean Health Sciences Literature (LILACS), EMBASE, and MEDLINE. Of the 268 potential articles assessed, 22 met the inclusion criteria. Findings demonstrated feasibility and acceptability. Additionally, there was improved motor skill acquisition and retention and less time for dental restoration after haptic virtual reality training. With the rising evidence of efficacy and increased utilization of digital technologies, virtual reality, and haptics has a role in improving students’ education outcomes.

Haptic dental simulators are gaining recognition for training dental students. However, there needs to be more evidence of their pedagogical effectiveness. The primary aims were to (1) identify the published studies related to the application of virtual reality (VR) and haptic technology in the restorative dentistry training of dental students, (2) recognize the outcome criteria used in the published studies, and (3) determine the subjective evaluation of VR and haptic technology in the restorative dentistry training by the students. A comprehensive literature search was conducted to find scholarly articles that assessed the utilization of VR and haptics in training students in restorative dentistry. The investigation was performed via seven online databases: Scopus, Web of Science Core Collection, PubMed, Science Direct Freedom Collection, Latin American & Caribbean Health Sciences Literature (LILACS), EMBASE, and MEDLINE. Of the 268 potential articles assessed, 22 met the inclusion criteria. Findings demonstrated feasibility and acceptability. Additionally, there was improved motor skill acquisition and retention and less time for dental restoration after haptic virtual reality training. With the rising evidence of efficacy and increased utilization of digital technologies, virtual reality, and haptics has a role in improving students’ education outcomes.

Haptic dental simulators are gaining recognition for training dental students. However, there needs to be more evidence of their pedagogical effectiveness. The primary aims were to (1) identify the published studies related to the application of virtual reality (VR) and haptic technology in the restorative dentistry training of dental students, (2) recognize the outcome criteria used in the published studies, and (3) determine the subjective evaluation of VR and haptic technology in the restorative dentistry training by the students. A comprehensive literature search was conducted to find scholarly articles that assessed the utilization of VR and haptics in training students in restorative dentistry. The investigation was performed via seven online databases: Scopus, Web of Science Core Collection, PubMed, Science Direct Freedom Collection, Latin American & Caribbean Health Sciences Literature (LILACS), EMBASE, and MEDLINE. Of the 268 potential articles assessed, 22 met the inclusion criteria. Findings demonstrated feasibility and acceptability. Additionally, there was improved motor skill acquisition and retention and less time for dental restoration after haptic virtual reality training. With the rising evidence of efficacy and increased utilization of digital technologies, virtual reality, and haptics has a role in improving students’ education outcomes.

Osteoma is a benign bony outgrowth of membranous bones and is found mostly on skull and facial bones. In the head and neck region they are commonly seen in the frontoethmoidal regions. The lesions are usually asymptomatic and sometimes may impinge on surrounding areas and cause symptoms. Osteomas may be present in a solitary or multiple sites. The present article reports a case of multiple osteomas of head located in the craniofacial region with imaging details.

No abstract available.
Radiography*

Gorlin-Goltz syndrome is an autosomal dominant disorder principally characterized by cutaneous basal cell carcinomas, multiple keratocystic odontogenic tumors, and skeletal anomalies. This syndrome may be diagnosed early by dentist because keratocystic odontogenic tumors are usually one of the first manifestations of the syndrome. Early diagnosis and treatment are of utmost importance in reducing the severity of long term sequelae of this syndrome. This report presents a rare event of Gorlin-Goltz syndrome occurring in a 39-year-old male and his 8-year-old daughter. The clinical and investigative features of this familial disorder has been described in detail.
Adult ; Basal Cell Nevus Syndrome ; Carcinoma, Basal Cell ; Child ; Dentists ; Early Diagnosis ; Humans ; Male ; Nuclear Family ; Odontogenic Cysts ; Odontogenic Tumors

Progressive hemifacial atrophy, also known as Parry-Romberg syndrome, is an uncommon degenerative condition which is poorly defined. It is characterized by a slow and progressive atrophy affecting one side of the face. The onset usually occurs during the first two decades of life. Characteristically, the atrophy progresses slowly for several years, and then it becomes stable. Ophthalmic involvement is common, with progressive enophthalmos which is a frequent finding. Cutaneous pigmentation is common in such conditions, however its extension to the conjunctiva is rarely reported. We report a case of Parry Romberg syndrome with characteristic clinical and radiographic presentation accompanied with rare ocular findings. The clinical features, radiological findings, and differential diagnoses to be considered, and the available treatment options are discussed in this report.
Atrophy ; Conjunctiva ; Diagnosis, Differential ; Enophthalmos ; Facial Hemiatrophy ; Imaging, Three-Dimensional ; Pigmentation

Objectives: The purpose of the study was to assess the occurrence, location, and dimensions of the intraosseous vascular canal in the lateral wall of the maxillary antrum using cone-beam computed tomography (CBCT). Materials and Methods: In this retrospective study, we examined 400 CBCT scans from our archive of patients who had earlier reported to a dental teaching hospital in the United Arab Emirates. The prevalence, location, and dimensions of the lateral antral intraosseous canal (LAIC) in the maxillary antrum were evaluated by 2 examiners using standardised methods. A third examiner was consulted in cases of disagreement. Results: The prevalence of LAIC was 62.3% (249 maxillary antra) among the study population. The mean distance between the most inferior point of the alveolar bone and the inferior border of the LAIC in the posterior maxillary region was 19.83±3.12 mm. There was a significant difference (P=0.05) between the maxillary molar and premolar regions in mean distance from the most inferior point of the alveolar bone and the inferior border of the LAIC. There was no statistically significant difference in mean distance between the most inferior point of the alveolar bone and the inferior border of the LAIC between dentulous and edentulous areas (P=0.1). The G3-intrasinusal type canal less than 1mm in diameter was the most common type of LAIC. Conclusion This study established the approximate location of the LAIC in a United Arab Emirates cohort, which will assist the oral surgeon in selecting the appropriate site for sinus lift procedures with reduced risk of surgical hemorrhage.

Background: Pneumatization of turbinates, also known as concha bullosa (CB), is associated with nasal septal deviation and sinonasal pathologies. This study aims to evaluate the performance of deep learning models in detecting CB in coronal cone-beam computed tomography (CBCT) images. Methods: Standardized coronal images were obtained from 203 CBCT scans (83 with CB and 119 without CB) from the radiology archives of a dental teaching hospital. These scans underwent preprocessing through a hybridized contrast enhancement (CE) method using discrete wavelet transform (DWT). Of the 203 CBCT images, 162 were randomly assigned to the training set and 41 to the testing set. Initially, the images were enhanced using a CE technique before being input into pre-trained deep learning models, namely ResNet50, ResNet101, and MobileNet. The features extracted by each model were then flattened and input into a random forest (RF) classifier. In the subsequent phase, the CE technique was refined by incorporating DWT. Results: CE-DWT-ResNet101-RF demonstrated the highest performance, achieving an accuracy of 91.7% and an area under the curve (AUC) of 98%. In contrast, CE-MobileNet-RF recorded the lowest accuracy at 82.46% and an AUC of 92%. The highest precision, recall, and F1 score (all 92%) were observed for CE-DWT-ResNet101-RF. Conclusion Deep learning models demonstrated high accuracy in detecting CB in CBCT images. However, to confirm these results, further studies involving larger sample sizes and various deep learning models are required.