Deep Learning in Diagnosis of Dental Anomalies and Diseases: A Systematic Review.

Deep learning and diagnostic applications in oral and dental health have received significant attention recently. In this review, studies applying deep learning to diagnose anomalies and diseases in dental image material were systematically compiled, and their datasets, methodologies, test processes, explainable artificial intelligence methods, and findings were analyzed. Tests and results in studies involving human-artificial intelligence comparisons are discussed in detail to draw attention to the clinical importance of deep learning. In addition, the review critically evaluates the literature to guide and further develop future studies in this field. An extensive literature search was conducted for the 2019-May 2023 range using the Medline (PubMed) and Google Scholar databases to identify eligible articles, and 101 studies were shortlisted, including applications for diagnosing dental anomalies (n = 22) and diseases (n = 79) using deep learning for classification, object detection, and segmentation tasks. According to the results, the most commonly used task type was classification (n = 51), the most commonly used dental image material was panoramic radiographs (n = 55), and the most frequently used performance metric was sensitivity/recall/true positive rate (n = 87) and accuracy (n = 69). Dataset sizes ranged from 60 to 12,179 images. Although deep learning algorithms are used as individual or at least individualized architectures, standardized architectures such as pre-trained CNNs, Faster R-CNN, YOLO, and U-Net have been used in most studies. Few studies have used the explainable AI method (n = 22) and applied tests comparing human and artificial intelligence (n = 21). Deep learning is promising for better diagnosis and treatment planning in dentistry based on the high-performance results reported by the studies. For all that, their safety should be demonstrated using a more reproducible and comparable methodology, including tests with information about their clinical applicability, by defining a standard set of tests and performance metrics.

Are lower urinary tract conditions more common in children with sleep bruxism?

INTRODUCTION: Sleep bruxism is a parasomnia caused by rhythmic and non-rhythmic activity of the masticatory muscles during sleep. Prevalence of sleep bruxism is reported up to 40.6% in the literature. Sleep bruxism is a multifactorial issue and associated with multiple dental complications, sleep-related disorders, and psychosocial problems. We aimed to investigate if children with sleep bruxism suffer more from lower urinary tract conditions. MATERIALS AND METHODS: Prospectively 128 children were included in this study. Sixty-four children constituted in the bruxism group and 64 children constituted in the control group. Children who admitted to the pediatric dentistry clinic with bruxism symptoms were recruited in the bruxism group. Control group constituted of consecutive 64 children who admitted to the pediatric dentistry clinic for routine dental examination. Parents were asked to fill out a questionnaire including Dysfunctional Voiding and Incontinence Scoring System (DVISS) form. Children's demographic data, presence of urinary frequency, presence of urgency, behaviour of voiding postponement, presence of daytime urinary incontinence, presence of enuresis nocturna, presence of fecal incontinence, presence of constipation, status of circumcision, and presence of bruxism related symptoms were recorded. Children with a DVISS score above 8 were considered to have functional voiding disorder. All children underwent a dental examination. RESULTS: The mean age of children was 73.3 ± 26.9 months. For all children (n = 128), the girl to boy ratio was 40:88. Mean DVISS score was 2.5 ± 3.8 and the mean QOL score was 0.1 ± 0.4 for all children. Eight (6.3%) children were found to have functional voiding disorder based on the DVISS score. There was no statistically significant difference for any lower urinary tract condition between the bruxism group and the control group (Table). Children with bruxism significantly had more tooth wear and masseter muscle hypertrophy (<0.001 and < 0.05). DISCUSSION: Sleep bruxism has been linked to a number of health issues including dental, systemic and psychosocial problems. Tooth wears, fatigue/pain in chewing muscles, gum recession, facial pain, masseter muscle hypertrophy and temporomandibular joint damage are the main complications of bruxism. Moreover, bruxism has been associated with systemic diseases and sypmtoms like asthma, respiratory illnesses, enuresis nocturna, anxiety, and stress. CONCLUSIONS: Children with sleep bruxism suffer more from tooth wear, masseter muscle hypertrophy, and regional pain over the jaw. Additionally morning fatigue, relationship issues, and respiratory illnesses are more common in bruxist children. Lower urinary tract conditions are not more frequent in children with sleep bruxism.

Proton Therapy for Mandibula Plate Phantom.

PURPOSE: In this study, the required dose rates for optimal treatment of tumoral tissues when using proton therapy in the treatment of defective tumours seen in mandibles has been calculated. We aimed to protect the surrounding soft and hard tissues from unnecessary radiation as well as to prevent complications of radiation. Bragg curves of therapeutic energized protons for two different mandible (molar and premolar) plate phantoms were computed and compared with similar calculations in the literature. The results were found to be within acceptable deviation values. METHODS: In this study, mandibular tooth plate phantoms were modelled for the molar and premolar areas and then a Monte Carlo simulation was used to calculate the Bragg curve, lateral straggle/range and recoil values of protons remaining in the therapeutic energy ranges. The mass and atomic densities of all the jawbone layers were selected and the effect of layer type and thickness on the Bragg curve, lateral straggle/range and the recoil were investigated. As protons move through different layers of density, lateral straggle and increases in the range were observed. A range of energies was used for the treatment of tumours at different depths in the mandible phantom. RESULTS: Simulations revealed that as the cortical bone thickness increased, Bragg peak position decreased between 0.47-3.3%. An increase in the number of layers results in a decrease in the Bragg peak position. Finally, as the proton energy increased, the amplitude of the second peak and its effect on Bragg peak position decreased. CONCLUSION: These findings should guide the selection of appropriate energy levels in the treatment of tumour structures without damaging surrounding tissues.

Assessment of dental pain in children with intellectual disability using the dental discomfort questionnaire.

OBJECTIVE: This study aimed to compare the Dental Discomfort Questionnaire (DDQ) scores in children with and without intellectual disability (ID) and to measure correlation between the total DDQ and the Decayed, Missing, and Filled Teeth (DMFT/dmft) scores, as well as the condition of the tooth causing pain. METHOD: This cross-sectional study included 81 children with normal intellectual development who attended the Departments of Pediatric Dentistry at two Turkish Universities and 80 children with different levels of intellectual disability who reported dental pain in special education centers. The 12-question DDQ (Turkish version) was applied to the parents of the patients with their consent. The relationship of the DDQ scores with tha of the DMFT/dmft, dental status, and demographic data was evaluated. RESULTS: When the DDQ scores of children with intellectual disabilities were evaluated, it was found that the majority of the answers given to the questions were statistically similar (p < 0.05) to those of children with normal cognitive level. In the questions in which "pain when eating and brushing teeth" was evaluated, a higher score was obtained, which led to an increase in the total DDQ score (p < 0.001). There was a statistically significant difference between the groups in terms of the distribution of dental conditions (p < 0.001). When compared to the normal cognitive group, patients with mild and severe intellectual disabilities had more deep dentin caries, thoughy, frequent periapical abscess was less common in those groups (p < 0.001 and p = 0.022). There was no statistically significant relationship between DMFTscores. CONCLUSION: The DDQ was found to be a descriptive, functional, and easy-to-use questionnaire for children with intellectual disabilitiesin terms of detecting the presence of dental pain. No correlation was found between DMFT/dmft, dental status and DDQ scores.