Correction of Anterior Open Bite and Facial Profile by Orthognathic Surgery A Case Report

This case report describes the treatment of a severe anterior open bite, Class III malocclusion with a history of digitsucking. An 18 years-old male presented with a significant anteroposterior and vertical discrepancy of face. The patient’sface was concave with procumbent lips. He had an anterior open bite of 11 mm, a reverse overjet of 8 mm, and atransverse maxillary deficiency on right side. The orthognathic surgery was elected as an option of treatment to correctthe anterior open bite with improvement of facial profile.Keywords: Anterior open bite; Transverse maxillary deficiency; Vertical excess; Orthognathic surgery.DOI: 10.3329/bsmmuj.v3i1.5512BSMMU J 2010; 3(1): 31-3

Prevailing Status and Treatment Seeking Awareness Among Patients Attending in The Orthodontics Department of Bangabandhu Sheikh Mujib Medical University

Background: Malocclusion is problem since antiquity. But people’s perception about the problem varies with their geographical location and cultural background. The problem seems to be more acute in developing countries like Bangladesh. Objectives: The present study was undertaken to assess the awareness about aesthetic problem of malocclusion and treatment seeking behavior among the patients attending in orthodontic department of BSMMU. Methods: The present cross-sectional study was carried out in the Department of Orthodontic, Faculty of Dentistry, BSMMU, over a period 24 months from January 2008 to December 2009. A total of 110 participants who were suffering from malocclusion and came for dental treatment were the study population. Results: The mean age of the patients was 21 years and the youngest and the oldest patients were 8 and 32 years old respectively with female to male ratio being roughly 3:2. Graduate or postgraduate level educated patients were predominant (53.6%). Over 70% of the respondents viewed malocclusion as an aesthetic problem, 50% as functional problem, 55.5% social problem and 69.1% oral problem. Two-third (67%) told that malocclusion was a treatable condition. Approximately 43% of the patients identified trauma as a cause of malocclusion, 40% gingivitis or periodontitis and 35.5% dental caries. About one-third (32.7%) of the respondents was of the opinion that certain habits should be avoided to prevent malocclusion, 15.5% told timely treatment of malocclusion, 30% told prevention of early loss of teeth due to caries, 12.7% were in favour of the use of a space maintainer in places of premature loss of a deciduous tooth. Over 90% of the respondents held the view that symptoms of malocclusion, its prevention and different treatment options should get the priority in educating the society about malocclusion. However, 80% of the respondents told that causative factors should discussed. Regarding ways of behaviour change communication (BCC), TV got the first priority (94%) followed by newspaper (92%), teacher (88%), school health programme (84.5%), friends (76%), health educators (43.6%) and poster got the least priority (30.9%). Conclusion: The study concludes that a substantial proportion of the patients of malocclusion are not aware of the causes and consequence of malocclusion. However, the patients are aware that malocclusion is an aesthetic problem and can be corrected. Key words: Malocclusion; aesthetic problem; treatment seeking behavior. DOI: http://dx.doi.org/10.3329/bsmmuj.v4i2.8637 BSMMU J 2011; 4(2):94-9

Mesiodistal Crown Dimensions of Permanent Teeth in Bangladeshi Population

Background: Variation in tooth size is influenced by genetic and environmental factors. Several studies have reported tooth size variation between and within different racial groups. In order to improve the quality of dental care available, there is a great need for data on the mesiodistal crown dimensions of the individual teeth of Bangladeshi population. Objectives: To find nominative data on the mesiodistal crown dimensions of permanent teeth in Bangladeshi population and to compare the findings with those reported in other populations. Methods: This observational study was done from January, 2008 to June, 2010 in the Department of Orthodontics, Faculty of Dentistry, Bangabandhu Sheikh Mujib Medical University. A total of 244 Bangladeshi subjects (77 males and 167 females), aged 7 – 36 years (mean 18.3 years) with no age limit who attended at the above mentioned place for treatment were included in the study. Main outcome measure was mesiodistal crown dimension of each tooth class of permanent dentition. Mesiodistal crown dimensions were measured from dental casts of the permanent teeth. Results: Males had significantly larger teeth than females for maxillary central incisors (p < 0.05) and for the mandibular second premolars (p < 0.001). In both sexes, the maxillary lateral incisors showed the greatest variability [coefficient of variation (CV) 10.7%] and the maxillary canines the least (CV 6.9%) in mesiodistal crown dimension. Mandibular canines displayed greater sexual dimorphism in mesiodistal crown size than in any other tooth classes. Comparisons of the mesiodistal crown dimensions between population groups showed that Bangladeshis have tooth sizes close to those of North Indians, Icelanders and Jordanians but larger than those of North American Whites. Conclusions: From this study, a standard for the mesiodistal crown dimensions of permanent dentition of Bangladeshi males and females are obtained. Key Words: Crown dimension; Mesio-Distal width; Permanent dentition. DOI: http://dx.doi.org/10.3329/bsmmuj.v4i2.8635 BSMMU J 2011; 4(2):81-8

Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications

The concept of small modular reactor has changed the outlook for tackling future energy crises. This new reactor technology is very promising considering its lower investment requirements, modularity, design simplicity, and enhanced safety features. The application of artificial intelligence-driven multi-scale modeling (neutronics, thermal hydraulics, fuel performance, etc.) incorporating Digital Twin and associated uncertainties in the research of small modular reactors is a recent concept. In this work, a comprehensive study is conducted on the multiscale modeling of accident-tolerant fuels. The application of these fuels in the light water-based small modular reactors is explored. This chapter also focuses on the application of machine learning and artificial intelligence in the design optimization, control, and monitoring of small modular reactors. Finally, a brief assessment of the research gap on the application of artificial intelligence to the development of high burnup composite accident-tolerant fuels is provided. Necessary actions to fulfill these gaps are also discussed

A Novel Method for Multivariant Pneumonia Classification based on Hybrid CNN-PCA Based Feature Extraction using Extreme Learning Machine with Chest X-Ray Images

In this era of COVID19, proper diagnosis and treatment for pneumonia are very important. Chest X-Ray (CXR) image analysis plays a vital role in the reliable diagnosis of pneumonia. An experienced radiologist is required for this. However, even for an experienced radiographer, it is quite difficult and timeconsuming to diagnose due to the fuzziness of CXR images. Also, identification can be erroneous due to the involvement of human judgment. Hence, an authentic and automated system can play an important role here. In this era of cutting-edge technology, deep learning (DL) is highly used in every sector. There are several existing methods to diagnose pneumonia but they have accuracy problems. In this study, an automatic pneumonia detection system has been proposed by applying the extreme learning machine (ELM) on the Kaggle CXR images (Pneumonia). Three models have been studied: classification using extreme learning machine (ELM), ELM with a hybrid convolutional neural network - principle component analysis (CNN-PCA) based feature extraction (ECP), and ECP with the CXR images which are contrast-enhanced by contrast limited adaptive histogram equalization (CLAHE). Among these three proposed methods, the final model provides an optimistic result. It achieves the recall score of 98% and accuracy score of 98.32% for multiclass pneumonia classification. On the other hand, a binary classification achieves 100% recall and 99.83% accuracy. The proposed method also outperforms the existing methods. The outcome has been compared using several benchmarks that include accuracy, precision, recall, etc

Parallel CNN-ELM: A Multiclass Classification of Chest X-Ray Images to Identify Seventeen Lung Diseases Including COVID-19

Numerous epidemic lung diseases such as COVID-19, tuberculosis (TB), and pneumonia have spread over the world, killing millions of people. Medical specialists have experienced challenges in correctly identifying these diseases due to their subtle differences in Chest X-ray images (CXR). To assist the medical experts, this study proposed a computer-aided lung illness identification method based on the CXR images. For the first time, 17 different forms of lung disorders were considered and the study was divided into six trials with each containing two, two, three, four, fourteen, and seventeen different forms of lung disorders. The proposed framework combined robust feature extraction capabilities of a lightweight parallel convolutional neural network (CNN) with the classification abilities of the extreme learning machine algorithm named CNN-ELM. An optimistic accuracy of 90.92% and an area under the curve (AUC) of 96.93% was achieved when 17 classes were classified side by side. It also accurately identified COVID-19 and TB with 99.37% and 99.98% accuracy, respectively, in 0.996 microseconds for a single image. Additionally, the current results also demonstrated that the framework could outperform the existing state-of-the-art (SOTA) models. On top of that, a secondary conclusion drawn from this study was that the prospective framework retained its effectiveness over a range of real-world environments, including balanced-unbalanced or large-small datasets, large multiclass or simple binary class, and high- or low-resolution images. A prototype Android App was also developed to establish the potential of the framework in real-life implementation

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Synthesis and biological evaluation of triphenyl-imidazoles as a new class of antimicrobial agents

Newer triphenyl-imidazole derivatives (4a-h) were synthesized in good yields by the reaction of benzil and substituted benzaldehydes in equimolar quantities and refluxing the product with acetyl chloride thereafter. Structures were confirmed by using FT-IR, 1H NMR and 13C NMR spectroscopic methods. All the synthesized compounds were tested for their antimicrobial activity using agar diffusion technique against Gram positive (Staphhylococcus aureus and Bacillus subtilis), Gram negative (Escherichia coli and Pseudomonas aureginosa) as well as Fungal strain (Candida albicans). Interestingly compounds 4a, 4b, 4f and 4h showed significant antibacterial activity, whereas compound 4b was found to have remarkable activity against the fungal strain. The Minimum Inhibitory Concentration (MIC) and Minimum Bactericidal Concentration (MBC) of most active compounds were determined by broth dilution method and compound 4b emerged to have potent activities against most of the strains having MIC in the range of 25-200 µg/mL. To check the possible toxicities of the most active compounds, they were orally administered in rats and the concentration of liver enzymes serum glutamic-oxaloacetic transaminase (SGOT), serum glutamic pyruvic transaminase (SGPT) and alkaline phosphatase (ALKP) were determined. Compound 4h showed significant increase in the enzymes level depicting the hepatotoxicity. The structure-activity relationship studies showed the importance of electron withdrawing groups at the distant phenyl ring at ortho and para positions as the compounds having chloro or nitro at these positions tend to be more active than the compounds with electron releasing groups such as methoxy. These compounds may act as lead compounds for further studies and appropriate modification in their structure may lead to agents having high efficacy with lesser toxicity

A free vascularized fibular graft for reconstruction of mandibular bony defect following excision of odontogenic keratocyst

We present a case of reconstruction of a bony defect due to the excision of recurrent mandibular odontogenic keratocyst in a 45 years old diabetic male. Free vascularized fibular composite graft was taken from the contra lateral lower leg to reconstruct the defect. A two team approach consisting of plastic and maxillofacial (MF) surgeon was adopted. The functional and aesthetical outcome was satisfactory and bone healing occurred without any major complication. IMC J Med Sci 2017; 11(2): 70-7

Correction of Anterior Open Bite and Facial Profile by Orthognathic Surgery – A Case Report

This case report describes the treatment of a severe anterior open bite, Class III malocclusion with a history of digit sucking. An 18 years-old male presented with a significant anteroposterior and vertical discrepancy of face. The patient’s face was concave with procumbent lips. He had an anterior open bite of 11 mm, a reverse overjet of 8 mm, and a transverse maxillary deficiency on right side. The orthognathic surgery was elected as an option of treatment to correct the anterior open bite with improvement of facial profile