Lichen planus (LP) is a chronic inflammatory mucocutaneous disease that commonly affects the oral cavity. Previous reports have suggested a possible association between LP and thyroid gland diseases (TGDs). The purpose of this study was to investigate possible associations between oral lichen planus (OLP) and TGDs. Patients diagnosed with OLP, both clinically and histopathologically (N = 102), were classified according to clinical course (symptomatic/asymptomatic), type (reticular/plaque, atrophic and erosive) and location of lesions. Data on TGDs was compared to age- and gender-matched controls (N = 102) without OLP. Diagnosis of any type of TGD and related medication for study and control groups was recorded from the medical files provided by patients’ physicians. Statistical analysis used Student’s t-test and Fisher’s exact test; significance was set at p < 0.05. TGDs (all), hypothyroidism and related medications were found in 16.6, 12.7 and 12.7% of patients with OLP, respectively. These findings were similar to the control group: TGDs (all) -15.7%, hypothyroidism - 9.8% and thyroid gland disease-related medication - 9.8% (p > 0.05). No significant associations were found between different characteristics of OLP and hypothyroidism or other TGD (p > 0.05). We found no significant associations between the co-existence of OLP and TGD or related-medications. Our findings are in agreement with some of the previously published similar studies but in controversy with others. Further well-designed, multicenter studies with large groups of patients and controls may help to establish the nature of the associations between OLP and TGDs.

Objective: To apply the technique of deep learning on a small dataset of panoramic images for the detection and segmentation of the mental foramen (MF). Study design: In this study we used in-house dataset created within the School of Dental Medicine, Tel Aviv University. The dataset contained randomly chosen and anonymized 112 digital panoramic X-ray images and corresponding segmentations of MF. In order to solve the task of segmentation of the MF we used a single fully convolution neural network, that was based on U-net as well as a cascade architecture. 70% of the data were randomly chosen for training, 15% for validation and accuracy was tested on 15%. The model was trained using NVIDIA GeForce GTX 1080 GPU. The SPSS software, version 17.0 (Chicago, IL, USA) was used for the statistical analysis. The study was approved by the ethical committee of Tel Aviv University. Results: The best results of the dice similarity coefficient ( DSC), precision, recall, MF-wise true positive rate (MFTPR) and MF-wise false positive rate (MFFPR) in single networks were 49.51%, 71.13%, 68.24%, 87.81% and 14.08%, respectively. The cascade of networks has shown better results than simple networks in recall and MFTPR, which were 88.83%, 93.75%, respectively, while DSC and precision achieved the lowest values, 31.77% and 23.92%, respectively. Conclusions: Currently, the U-net, one of the most used neural network architectures for biomedical application, was effectively used in this study. Methods based on deep learning are extremely important for automatic detection and segmentation in radiology and require further development.

This study aimed to characterize the demographic and clinical features of underreported surgical ciliated cysts developing after sinus floor augmentation, based on a series of cases from our files and a systematic review of the literature. A series of five cases (four patients) of microscopically confirmed surgical ciliated cysts following sinus floor augmentation procedures from our files are described. A systematic literature search (1991–2020) with strict clinical-, radiological- and microscopic-based exclusion and inclusion criteria was performed to detect additional similar cases. The systematic review revealed only five cases that fulfilled the inclusion criteria. Altogether, surgical ciliated cysts associated with sinus floor augmentation have been rarely reported in the literature, and have not been characterized either demographically or clinically. Graft materials were diverse, implants were placed simultaneously, or up to two years post-augmentation. The associated surgical ciliated cysts developed between 0.5 and 10 years post-augmentation. Although limited in its extent, this study is the first series to characterize possible underreported sequelae of surgical ciliated cysts associated with sinus floor augmentation. It emphasizes the need for long post-operative follow-up and confirmation of lesion by microscopic examination.

Background: Improvement of image quality in radiology, including the maxillofacial region, is important for diagnosis by enhancing the visual perception of the original image. One of the most used modification methods is sharpening, in which simultaneously with the improvement, due to edge enhancement, several artifacts appear. These might lead to misdiagnosis and, as a consequence, to improper treatment. The purpose of this study was to prove the feasibility and effectiveness of automatic sharpening detection based on neural networks. Methods: The in-house created dataset contained 4290 X-ray slices from different datasets of cone beam computed tomography images were taken on 2 different devices: Ortophos 3D SL (Sirona Dental Systems GmbH, Bensheim, Germany) and Planmeca ProMax 3D (Planmeca, Helsinki, Finland). The selected slices were modified using the sharpening filter available in the software RadiAnt Dicom Viewer software (Medixant, Poland), version 5.5. The neural network known as "ResNet-50" was used, which has been previously trained on the ImageNet dataset. The input images and their corresponding sharpening maps were used to train the network. For the implementation, Keras with Tensorflow backend was used. The model was trained using NVIDIA GeForce GTX 1080 Ti GPU. Receiver Operating Characteristic (ROC) analysis was performed to calculate the detection accuracy using MedCalc Statistical Software version 14.8.1 (MedCalc Software Ltd, Ostend, Belgium). The study was approved by the Ethical Committee. Results: For the test, 1200 different images with the filter and without modification were used. An analysis of the detection of three different levels of sharpening (1, 2, 3) showed sensitivity of 53%, 93.33%, 93% and specificity of 72.33%, 84%, 85.33%, respectively with an accuracy of 62.17%, 88.67% and 89% (p < 0.0001). The ROC analysis in all tests showed an Area Under Curve (AUC) different from 0.5 (null hypothesis). Conclusions: This study showed a high performance in automatic sharpening detection of radiological images based on neural network technology. Further investigation of these capabilities, including their application to different types of radiological images, will significantly improve the level of diagnosis and appropriate treatment.

One of the most challenging procedures during maxillary osteotomy is pterygomaxillary suture (PMS) separation, due to the difficulty of directly inspecting this suture and the anatomical complexity of the adjacent structures. Knowing the precise anatomical dimensions and the position of the PMS, namely, the angle at which to approach this structure, may help in determining the proper osteotome. It will also help the oral and maxillofacial surgeon to perform this sensitive procedure more precisely and to minimize surgical complications (e.g., internal maxillary artery injury and unfavorable fracture during separation). The current study aimed to evaluate the morphology of PMS in an adult Israeli population using CBCT scans of the maxilla. Fifty CBCTs of healthy males (n = 27) and females (n = 23) were collected and analyzed. The vertical height, maximal thickness, and angulation of the PMS relative to the midsagittal plane of the skull were evaluated on both the right and left sides of the patient. An independent samples t-test was carried out to determine PMS morphological differences between males and females. A related samples t-test was conducted to determine the PMS morphological differences between the right and left sides. No significant differences in PMS parameters were found between sides in males and females (p > 0.225). Both males and females exhibited similar height and angulation of the PMS (p > 0.486). Interestingly, the PMS thickness was statistically greater in males (p = 0.029); however, this difference was clinically insignificant. The mean dimensions of the PMS in a healthy Israeli adult population are presented and discussed, as well as the clinical and methodological implications.

Background: Antibiotics are widely used in dentistry. Dentists often provide antibiotics unnecessarily. Excessive use can induce resistant bacterial strains. There are certain indications for the proper use of antibiotics for pediatric dentistry according to the European and American Pediatric Dentistry (EAPD and AAPD). Very often dentists do not follow these guidelines. Objectives: This study aims to examine the level of knowledge among general dentists (who also treat children) and pediatric dentists on proper use of antibiotics. In addition, we examined whether there is unjustified use of antibiotics, if dentists are aware of the new and conservative approach of administering antibiotics to patients, and whether there is a relationship between years of professional seniority and dentist’s knowledge level of proper use of antibiotics. Methods: One hundred general dentists (GD) who treat children in addition to 100 pediatric dentists (PD) completed the study questionnaires which measured knowledge, practice and attitudes regrading using antibiotics during dental treatment among children. Results: The general average of level of knowledge on proper use of antibiotics among general dentists was relatively low for both GD (60.7%) and PDs (65%). PDs demonstrated a relatively greater knowledge of correct use of antibiotics, especially in cases of endodontics and trauma. PDs also showed higher awareness to latest guidelines for the admission of “prophylactic antibiotics” according to the American Association (AAPD) and/or the European Union (EAPD) compared with GDs (86.2% vs. 66.3%). Conclusion: The level of knowledge of both general dentists and pediatric dentists is poor, with a large percentage of dentists from both groups not knowing whether antibiotics are needed in a specific dental case or not. Compliance with the EAPD/AAPD guidelines is also low and inadequate. The method of prescribing antibiotics given by dentists can be improved by increasing awareness, educational initiatives, and postgraduate courses among dentists regarding the recommended indications.