Machine learning in the detection of dental cyst, tumor, and abscess lesions.

BACKGROUND AND OBJECTIVE: Dental panoramic radiographs are utilized in computer-aided image analysis, which detects abnormal tissue masses by analyzing the produced image capacity to recognize patterns of intensity fluctuations. This is done to reduce the need for invasive biopsies for arriving to a diagnosis. The aim of the current study was to examine and compare the accuracy of several texture analysis techniques, such as Grey Level Run Length Matrix (GLRLM), Grey Level Co-occurrence Matrix (GLCM), and wavelet analysis in recognizing dental cyst, tumor, and abscess lesions. MATERIALS & METHODS: The current retrospective study retrieved a total of 172 dental panoramic radiographs with lesion including dental cysts, tumors, or abscess. Radiographs that failed to meet technical criteria for diagnostic quality (such as significant overlap of teeth, a diffuse image, or distortion) were excluded from the sample. The methodology adopted in the study comprised of five stages. At first, the radiographs are improved, and the area of interest was segmented manually. A variety of feature extraction techniques, such GLCM, GLRLM, and the wavelet analysis were used to gather information from the area of interest. Later, the lesions were classified as a cyst, tumor, abscess, or using a support vector machine (SVM) classifier. Eventually, the data was transferred into a Microsoft Excel spreadsheet and statistical package for social sciences (SPSS) (version 21) was used to conduct the statistical analysis. Initially descriptive statistics were computed. For inferential analysis, statistical significance was determined by a p value < 0.05. The sensitivity, specificity, and accuracy were used to find the significant difference between assessed and actual diagnosis. RESULTS: The findings demonstrate that 98% accuracy was achieved using GLCM, 91% accuracy using Wavelet analysis & 95% accuracy using GLRLM in distinguishing between dental cyst, tumor, and abscess lesions. The area under curve (AUC) number indicates that GLCM achieves a high degree of accuracy. The results achieved excellent accuracy (98%) using GLCM. CONCLUSION: The GLCM features can be used for further research. After improving the performance and training, it can support routine histological diagnosis and can assist the clinicians in arriving at accurate and spontaneous treatment plans.

Prevalence of bruxism in down syndrome patients: A systematic review and meta-analysis.

BACKGROUND: Bruxism is a parafunctional activity characterised by grinding or clenching of teeth and is a common oral health concern in individuals with down syndrome (DS). Understanding the prevalence of bruxism in this population is crucial for developing effective management strategies. This systematic review and meta-analysis is aimed to investigate the prevalence of bruxism among individuals with DS and explore its association with other oral health issues. METHODS: A comprehensive search was conducted across multiple electronic databases to identify relevant studies. Cross-sectional and observational studies were included. Data on bruxism prevalence and associated factors were extracted, and a meta-analysis was performed using both fixed-effects (FE) and random-effects (RE) models of MedCalc software. Heterogeneity among studies was assessed using I2 statistics. New Castle-Ottawa Scale was used to evaluate methodological quality of the included studies. RESULTS: Eight studies met the pre-defined inclusion criteria and were included in the analysis. Seven studies used a questionnaire to assess bruxism. The pooled proportion estimate for occurrence of DS across the included studies was found to be 0.33 (95% CI: 0.22-0.45) as per the RE model and 0.35 (95% CI: 0.31-0.450) as per FE model in the quantitative analysis. All studies exhibited good methodological quality. CONCLUSION: This systematic review and meta-analysis provide evidence of a significant prevalence of bruxism among individuals with DS. The findings highlight the association of bruxism with other oral health issues and specific chromosomal abnormalities. Comprehensive oral health assessments, including diagnostic procedures like Polysomnography, are essential for addressing the unique oral health needs of individuals with DS. Further studies are recommended with a valid tool for the diagnosis. Early interventions and management strategies need to be tailored to this population, considering the multifaceted nature of oral health concerns in individuals with DS.

Comparative Evaluation of Condylar Guidance Angles Measured Using Arcon and Non-Arcon Articulators and Panoramic Radiographs-A Systematic Review and Meta-Analysis.

The condylar guidance value (CGV) measurement constitutes an important part of a holistic prosthodontic treatment plan, with horizontal CGVs (HCGVs) and lateral CGVs (LCGVs) being two of the most prominently recognized. This systematic review aimed at evaluating the efficacy of two different types of CGV measurement protocols-articulators (both arcon and non-arcon) and panoramic radiographs. Additionally, it attempts to determine which of the mentioned methods performs better across several parameters. Several important web databases were searched using search terms derived from medical subject headings (MeSH), using keywords linked to "Arcon articulator", "Condylar guidance angle", "non-arcon articulator", "Panoramic x-ray" and "Radiographic examination", which constituted the first step in the study selection strategy. After completion, the search strategy which initially turned up to 831 papers, eventually ended up with 13 studies. The review and subsequent meta-analysis revealed that panoramic radiographs had noticeably greater efficacy in terms of the CGVs as compared to the articulators in the majority of the studies. Within the articulators, the arcon types recorded slightly higher CGVs than the non-arcon variety owing to the precision of jaw movement simulation in the former. However, further studies are required to validate these findings and establish more precise guidelines for the use of CGV measurement protocols in prosthodontic practice.

The Determination of Flare-Up Incidence and Associated Risk Factors During Endodontic Treatment: An Observational Retrospective Study.

BACKGROUND: Endodontic flare-up signifies pain and/or swelling seen within a few days after an endodontic appointment by patients requiring an emergency. These are undesirable and unwanted as they cause great discomfort to the subjects and stress to the operator due to swelling and pain. AIMS: This study aims to determine the flare-up incidence and associated risk factors during endodontic treatment. METHODS: The present retrospective study assessed 1000 patients of both genders for endodontic flare-ups. Flare-up cases were patients having swelling or pain within 1-3 days after a root canal appointment and needing an emergency visit for relieving the symptoms. After data recording, it was subjected to statistical analysis to assess related factors, flare-up cause, and incidence rate using Fisher's exact test and chi-square test. RESULTS: In the present study, the incidence rate of flare-ups is 9.4%. The majority of flare-ups were in the molar teeth followed by the anterior teeth and 6.7% (n=30) of the premolar teeth. For the number of canals, it was seen in 13.6% (n=24) of cases with multiple canals, 5.5% (n=12) of cases with two canals, and 9.6% (n=58) of cases with a single canal. In patients with no medical history, flare-ups were significantly less compared to patients with medical history (p<0.001). A significantly higher number of flare-ups were in the teeth having pulp necrosis with periapical lesions with 45.9% (n=34) (p<0.001). CONCLUSION: Flare-ups are commonly seen in multiple canal teeth having pulp necrosis with periapical lesions with an associated medical history, with females being more prone to endodontic flare-up cases.