Quantitative and Qualitative Correlation of Mandibular Lingual Bone with Risk Factors for Third Molar Using Cone Beam Computed Tomography.

Background: Lingual plate thickness, density, and proximity to the tooth are linked as risk factors for various complications associated with third molar extraction. The present study aimed to assess the lingual plate thickness, and density in the mandibular third molar region using cone beam computed tomography and to estimate its correlation with type and level of impaction, number of roots, age, and gender as the risk factors. Methods: This was a retrospective study on CBCT images of 648 mandibular third molars. The lingual plate thickness at three different root levels - cervical, mid-root, and apex along with the position of the tooth, number of roots, density of lingual plate, age, and gender were evaluated. The measurements were done on Invivo 5-Anatomage software. Statistical comparison of the categorical variables was done by Chi-square test, and Fisher's exact test, and univariate and multivariate analysis were done using binomial logistic regression. Results: Lingual plate thickness of the third molars at the cervical, mid root, and apex were 1.28 mm, 1.42 mm and .01 mm (mean). A significantly higher proportion of subjects with thin lingual plates at mid-root (p-value=0.01) and apex (p-value=0.05) were in the 21-30 age group. Lingual bone density was significantly associated with the thickness of the lingual plate at the mid-root. A significantly higher proportion of thinner lingual plates at the mid-root level were associated with mesioangularly placed third molars (p-value=0.002). Conclusion: Our study presented that lingual plate thickness has a strong association with age, angulation, and the number of roots. Knowledge about these risk factors is imperative during the management of third molar impactions.

Role of CBCT in Prediction of Oro-antral Communication Post Third Molar Extraction: A Retrospective Study.

OBJECTIVE: Oro-antral communication (OAC) is one of the most frequently encountered complications during third molar extraction. Various radiographic factors, like excessive maxillary sinus pneumatization, long periods of edentulism, periapical lesions, etc., have been considered high-risk factors for OAC. However, a panoramic radiograph has not proven to be accurate in predicting the chances of OAC. Through this retrospective study, we evaluated the efficacy of a CBCT in predicting the incidence of OAC after maxillary third molar extraction. MATERIALS AND METHODS: We conducted a retrospective study in our department, which included the patients who had undergone extraction of a maxillary third molar over five years with the presence of panoramic X-rays and/or CBCT scans prior to extraction. Primary outcomes assessed from the case files were intra-operative complications like OAC, root fracture, tuberosity fracture, pterygoid plate fracture, etc. The incidence of these complications was correlated with the presence or absence of CBCT before extraction. RESULTS: Out of 920 extracted maxillary third molar, only 148 teeth (16.1%) had a CBCT record before extraction. The most commonly encountered complication was broken inaccessible root piece/s (4.9%), followed by OAC (3.5%). An inter-group comparison showed that a significantly higher percentage of patients (p < 0.001) with CBCT records had an incidence of OAC (11.5%) as against the group of patients with no CBCT record (1.9%). CONCLUSION: A CBCT scan prior to cases with high-risk factors for OAC can be a valuable tool in accurately predicting the chances of OAC after maxillary third molar extraction.

Efficacy of Preemptive Dexamethasone versus Methylprednisolone in the Management of Postoperative Discomfort and Pain after Mandibular Third Molar Surgery: A Systematic Review and Meta-Analysis.

The corticosteroids have been used for preemptive management of surgical sequelae after mandibular third molar extraction. The aim of this article was to review the efficacy of methylprednisolone versus dexamethasone in the management of postsurgical pain, swelling, and trismus after mandibular third molar surgery. Randomized, double-blinded studies from PubMed, CINAHL, Scopus, DOSS, Cochrane central, and Web of Science were identified by using a search strategy. Randomized controlled trials evaluating the efficacy of use of dexamethasone versus methylprednisolone for mandibular third molar extraction were only considered. The studies involving the use of any other corticosteroid agent were excluded. Outcomes assessed were postoperative pain, the number of rescue analgesics required, swelling, trismus, and adverse events. The search strategy yielded 1046 articles for title and abstract screening, out of which only seven studies were included in the systematic review after full text screening. There was considerable heterogeneity between the studies with regards to the method as well as the parameters assessed. Risk of bias was low in three studies and unclear in other four studies. On pooled analyses, there was no significant difference with respect to pain, rescue analgesics, and swelling in the test and the control group. Forest plot analysis showed that dexamethasone had lesser trismus in early postoperative period (postoperative day 2) as compared to methylprednisolone. None of the included studies reported any adverse effects. Both the corticosteroids have similar efficacy in reducing the postoperative pain and swelling; however, dexamethasone showed statistically significant difference from methylprednisolone in reducing trismus (estimated standardized mean difference of -0.69 mm; 95% CI: -1.01 to -0.38; p < 0.0001) in the early postoperative period. However, due to statistical heterogeneity, quality of the evidence for the review was low to moderate. Hence, more studies with larger study sample and low risk of bias are needed to confirm these results.

Age Assessment through Root Lengths of Mandibular Second and Third Permanent Molars Using Machine Learning and Artificial Neural Networks.

The present study explores the efficacy of Machine Learning and Artificial Neural Networks in age assessment using the root length of the second and third molar teeth. A dataset of 1000 panoramic radiographs with intact second and third molars ranging from 12 to 25 years was archived. The length of the mesial and distal roots was measured using ImageJ software. The dataset was classified in three ways based on the age distribution: 2-Class, 3-Class, and 5-Class. We used Support Vector Machine (SVM), Random Forest (RF), and Logistic Regression models to train, test, and analyze the root length measurements. The mesial root of the third molar on the right side was a good predictor of age. The SVM showed the highest accuracy of 86.4% for 2-class, 66% for 3-class, and 42.8% for 5-Class. The RF showed the highest accuracy of 47.6% for 5-Class. Overall the present study demonstrated that the Deep Learning model (fully connected model) performed better than the Machine Learning models, and the mesial root length of the right third molar was a good predictor of age. Additionally, a combination of different root lengths could be informative while building a Machine Learning model.

Factors Affecting the Usage of Wearable Device Technology for Healthcare among Indian Adults: A Cross-Sectional Study.

BACKGROUND: Wearable device technology has recently been involved in the healthcare industry substantially. India is the world's third largest market for wearable devices and is projected to expand at a compound annual growth rate of ~26.33%. However, there is a paucity of literature analyzing the factors determining the acceptance of wearable healthcare device technology among low-middle-income countries. METHODS: This cross-sectional, web-based survey aims to analyze the perceptions affecting the adoption and usage of wearable devices among the Indian population aged 16 years and above. RESULTS: A total of 495 responses were obtained. In all, 50.3% were aged between 25-50 years and 51.3% belonged to the lower-income group. While 62.2% of the participants reported using wearable devices for managing their health, 29.3% were using them daily. technology and task fitness (TTF) showed a significant positive correlation with connectivity (r = 0.716), health care (r = 0.780), communication (r = 0.637), infotainment (r = 0.598), perceived usefulness (PU) (r = 0.792), and perceived ease of use (PEOU) (r = 0.800). Behavioral intention (BI) to use wearable devices positively correlated with PEOU (r = 0.644) and PU (r = 0.711). All factors affecting the use of wearable devices studied had higher mean scores among participants who were already using wearable devices. Male respondents had significantly higher mean scores for BI (p = 0.034) and PEOU (p = 0.009). Respondents older than 25 years of age had higher mean scores for BI (p = 0.027) and Infotainment (p = 0.032). CONCLUSIONS: This study found a significant correlation with the adoption and acceptance of wearable devices for healthcare management in the Indian context.

Transforming healthcare through a digital revolution: A review of digital healthcare technologies and solutions.

The COVID-19 pandemic has put a strain on the entire global healthcare infrastructure. The pandemic has necessitated the re-invention, re-organization, and transformation of the healthcare system. The resurgence of new COVID-19 virus variants in several countries and the infection of a larger group of communities necessitate a rapid strategic shift. Governments, non-profit, and other healthcare organizations have all proposed various digital solutions. It's not clear whether these digital solutions are adaptable, functional, effective, or reliable. With the disease becoming more and more prevalent, many countries are looking for assistance and implementation of digital technologies to combat COVID-19. Digital health technologies for COVID-19 pandemic management, surveillance, contact tracing, diagnosis, treatment, and prevention will be discussed in this paper to ensure that healthcare is delivered effectively. Artificial Intelligence (AI), big data, telemedicine, robotic solutions, Internet of Things (IoT), digital platforms for communication (DC), computer vision, computer audition (CA), digital data management solutions (blockchain), digital imaging are premiering to assist healthcare workers (HCW's) with solutions that include case base surveillance, information dissemination, disinfection, and remote consultations, along with many other such interventions.

Medication-related osteonecrosis of the jaw: knowledge and perceptions of medical professionals on the usage of bone modifying agents and dental referrals.

Bone modifying agents (BMA) like bisphosphonates, antiangiogenic, and antiresorptive agents are widely used to manage bone diseases and cancer. Medication-related osteonecrosis of the jaw (MRONJ) is a potentially serious complication seen in patients on BMA therapy. Dental infection is one of the primary risk factors for MRONJ manifestation; hence its complete removal before initiation of BMA is significant. This can be achieved when a medical professional understands MRONJ and its risk factors and implements timely and regular dental referrals. This multicentre study was performed to assess the knowledge about MRONJ and awareness about the implementation of dental referrals among medical professionals. A custom-designed questionnaire tool was designed and validated by a pilot study. 450 practitioners from 6 medical schools and private practitioners in and around the district were surveyed. The results were analyzed using descriptive statistics. 63.5% (n=80) of the respondents prescribed bisphosphonates at a frequency of 0-5 times in a month. However, 62% (n=78) of the practitioners could correctly indicate the most appropriate definition of MRONJ. Only 49.2% (n=62) of them considered dental consultation mandatory. 73% (n=92) of the practitioners were unaware of management guidelines. There exists a significant gap in the knowledge-based applications in the management of MRONJ. Lack of referrals to dentists before BMA therapy can be a pivotal factor in patient morbidity. Practitioners prescribing BMA should advise patients about regular dental visits and monitor for symptoms of MRONJ.

Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility?

The legal and ethical issues that confront society due to Artificial Intelligence (AI) include privacy and surveillance, bias or discrimination, and potentially the philosophical challenge is the role of human judgment. Concerns about newer digital technologies becoming a new source of inaccuracy and data breaches have arisen as a result of its use. Mistakes in the procedure or protocol in the field of healthcare can have devastating consequences for the patient who is the victim of the error. Because patients come into contact with physicians at moments in their lives when they are most vulnerable, it is crucial to remember this. Currently, there are no well-defined regulations in place to address the legal and ethical issues that may arise due to the use of artificial intelligence in healthcare settings. This review attempts to address these pertinent issues highlighting the need for algorithmic transparency, privacy, and protection of all the beneficiaries involved and cybersecurity of associated vulnerabilities.

The role of data science in healthcare advancements: applications, benefits, and future prospects.

Data science is an interdisciplinary field that extracts knowledge and insights from many structural and unstructured data, using scientific methods, data mining techniques, machine-learning algorithms, and big data. The healthcare industry generates large datasets of useful information on patient demography, treatment plans, results of medical examinations, insurance, etc. The data collected from the Internet of Things (IoT) devices attract the attention of data scientists. Data science provides aid to process, manage, analyze, and assimilate the large quantities of fragmented, structured, and unstructured data created by healthcare systems. This data requires effective management and analysis to acquire factual results. The process of data cleansing, data mining, data preparation, and data analysis used in healthcare applications is reviewed and discussed in the article. The article provides an insight into the status and prospects of big data analytics in healthcare, highlights the advantages, describes the frameworks and techniques used, briefs about the challenges faced currently, and discusses viable solutions. Data science and big data analytics can provide practical insights and aid in the decision-making of strategic decisions concerning the health system. It helps build a comprehensive view of patients, consumers, and clinicians. Data-driven decision-making opens up new possibilities to boost healthcare quality.

Attitudes and perceptions of outpatients towards adoption of telemedicine in healthcare during COVID-19 pandemic.

BACKGROUND: Asia is home to a burgeoning market for telemedicine with the availability of cheaper smartphones and internet services. Due to a rise in telemedicine use by doctors and patients, it is imperative to understand the perception of patients towards the adoption of telemedicine, the availability of telemedicine to the general population, the frequency with which patients avail these services, and the motivation or apprehensions in using them, especially during the COVID-19 pandemic. AIMS: The study is performed to understand the behavioral attitude and perceptions of the population regarding telemedicine and, in doing so, make services more user-friendly for patients. METHODS: A total of 1170 participants were surveyed using a structured online questionnaire to assess the perceptions towards the adoption of telemedicine in healthcare delivery services. Multivariate analysis was performed to identify key variables of knowledge and attitude affecting the utilization of telemedicine. RESULTS: Of the total respondents, 35.3% of patients never encountered telemedicine before and 26.9% did not come across telemedicine even during the COVID-19 pandemic. CONCLUSION: Understanding the perceptions of patients, using targeted health education, positive communication, and behavioral modifications, is the key factor to be addressed to mitigate the apprehensions towards telemedicine and improve the utilization of the services.

Engineering and clinical use of artificial intelligence (AI) with machine learning and data science advancements: radiology leading the way for future.

Over the years, many clinical and engineering methods have been adapted for testing and screening for the presence of diseases. The most commonly used methods for diagnosis and analysis are computed tomography (CT) and X-ray imaging. Manual interpretation of these images is the current gold standard but can be subject to human error, is tedious, and is time-consuming. To improve efficiency and productivity, incorporating machine learning (ML) and deep learning (DL) algorithms could expedite the process. This article aims to review the role of artificial intelligence (AI) and its contribution to data science as well as various learning algorithms in radiology. We will analyze and explore the potential applications in image interpretation and radiological advances for AI. Furthermore, we will discuss the usage, methodology implemented, future of these concepts in radiology, and their limitations and challenges.

Work-life balance amongst dental professionals during the COVID-19 pandemic-A structural equation modelling approach.

BACKGROUND: The Coronavirus disease (COVID-19) outbreak in 2019, has shocked the entire world. As an effort to control the disease spread, the Indian government declared a nationwide lockdown on March 25th, 2020. As dental treatment was considered high risk in the spread of COVID-19, dentistry became one of the most vulnerable professions during this time. Dental professionals had to face job layoffs, salary cuts in professional colleges, closure of private clinics resulting in huge psychological, moral, and financial crises. Studies during the previous and present pandemics have shown mental issues among health care workers necessitating institutional reforms, along with early care and support. A balance in the work-life amongst professionals is the key to better efficiency and, was majorly affected during the COVID-19 pandemic lockdown due to sudden unexpected changes. Hence this study was conducted to understand the changes they underwent both at home and professional front with a hypothesis that physical and mental health, activities, relationship status, and workplace influence the work-life balance. METHODS: A pre-validated questionnaire survey was done on dentists across India. Structural Equation Modelling and path analysis were applied to the data collected. RESULTS: The results of the study supported the hypothesis that factors like physical and mental health, activities, relationship status, and workplace influenced the work-life balance directly. A significant imbalance was seen amongst the female dentists. CONCLUSION: The present study proved the unpreparedness among dental professionals. Hence an evolutionary phase in every field with better working protocols, robust mental health support, and a focus on strategies to face future such emergencies is required.

Advanced platelet-rich fibrin plus and osseous bone graft for socket preservation and ridge augmentation - A randomized control clinical trial.

OBJECTIVE: To compare the clinical and radiographic effectiveness of A PRF Plus as an adjuctive material to osseous bone graft in socket preservation and ridge augmentation. METHODS: Twenty patients with need to preserve extraction socket in non-molar sites planning for further prosthetic rehabilitation were divided into two groups. Test Group (Group A) was treated with A PRF Plus membrane and Sybograf plus ™ (70% HA and 30 %ß TCP) bone graft. The Control Group (Group B) was treated with Sybograf plus ™ (70% HA and 30% ßTCP) bone graft. Both groups had same socket preservation surgical technique. RESULTS: Both Group A and Group B showed significant improvement in clinical and radiographic parameters. Mean socket length, Vertical Resorption reduction in Group A was 1.48 whereas in Group B was 1.67 which is statistically significant. (p â€‹≤ â€‹0.05). Changes in Horizontal width reduction at 1,3, and 5 â€‹mm depth of the socket for both groups were not statistically significant. The Gain in socket fill for Group A and B 6 months postoperatively was 1185.30HU ± 473.21 and 966.60 HU ± 273.27 respectively. But intergroup comparison was not statistically significant. (p â€‹= â€‹0.17). There were no significant statistical differences in postoperative pain in Group A and Group B as subjects experienced moderate amount of pain. The assessment of post-operative swelling showed that only 30% subjects in Group A reported with swelling. Whereas 80% subjects in Group B complained of post-operative swelling. CONCLUSION: The results of the present study proved utilisation of A PRF Plus as a promising adjunct to conventional regenerative therapy for socket preservation.

Numerical Three-dimensional Finite Element Modeling of Cavity Shape and Optimal Material Selection by Analysis of Stress Distribution on Class V Cavities of Mandibular Premolars.

AIM: Adhesive restoration does not depend primarily on the configuration of the shape of the cavity. Under varying loading conditions, it is essential to know the stress concentration and load transfer mechanism for distinct cavity shapes. The aim of this study was to evaluate and compare the biomechanical characteristics of various cavity shapes, namely oval, elliptical, trapezoidal, and rectangular shapes of class V cavities on mandibular premolars restored with amalgam, glass ionomer cement, and Cention N using three-dimensional (3D) finite element analysis. MATERIALS AND METHODS: A 3D prototype of a mandibular premolar was generated by Digital Imaging and Communications in Medicine (DICOM) images obtained from the cone beam computed tomography and imported to 3D modeling software tool, SpaceClaim. The four distinct load magnitudes of 100, 150, 200, and 250N were applied as a pressure load perpendicular to the lingual plane of the lingual cusp of the occlusal surface (normal load) and at 45° to same (oblique load). The stress distribution patterns and the maximum von Mises stresses were analyzed and compared. RESULTS: The occlusal stresses were distributed from the force loading point in an approximate actinomorphic pattern, and when the force load was close to the margin, the stress was much greater. CONCLUSION: Ovoid cavity showed lesser stress concentration and deformation for each of the tested restorative material.

Oral manifestations in chronic kidney disease patients undergoing hemodialysis: a hospital-based study.

BACKGROUND: Chronic kidney disease (CKD-HD) patients undergoing routine hemodialysis have been reported to have oral signs and symptoms due to disease process or various comorbidities like diabetes mellitus (DM). Both CKD and DM can cause oral changes. Hence this study aimed to evaluate the prevalence of oral symptoms and signs in CKD-HD patients and to rule out DM as possible confounding factor for the oral findings. METHODS: Oral manifestations were assessed in 102 CKD-HD patients, and compared with 100 DM patients and 101 non-diabetic patients with no renal impairment. RESULTS: Most common symptom reported by patients with CKD-HD were xerostomia, altered taste. The most prevalent objective findings were oral dryness. There was statistically significant difference in symptoms and signs between CKD-HD and non-CKD patients. However, no significant difference between CKD-HD with and without DM. CONCLUSIONS: This study showed increased prevalence of oral findings in CKD patients. It also revealed that Diabetes mellitus cannot be a contributing factor for increased prevalence of oral manifestations in CKD patients.

Biomechanical Behavior of Bioactive Material in Dental Implant: A Three-Dimensional Finite Element Analysis.

Dental implants are widely accepted for the rehabilitation of missing teeth due to their aesthetic compliance, functional ability, and great survival rate. The various components in implant design like thread design, thread angle, pitch, and material used for manufacturing play a critical role in its success. Understanding these influencing factors and implementing them properly in implant design can reduce cases of potential implant failure. Recently, finite element analysis (FEA) is being widely used in the field of health sciences to solve problems in designing medical devices. It provides valid and accurate assessment in the clinical and in vitro analysis. Hence, this study was conducted to evaluate the impact of thread design of the implant and 3 different bioactive materials, titanium alloy, graphene, and reduced graphene oxide (rGO) on stress, strain, and deformation in the implant system using FEA. In this study, the FEA model of the bones and the tissues are modeled as homogeneous, isotropic, and linearly elastic material with a titanium implant system with an assumption of it 100% osseointegrated into the bone. The titanium was functionalized with graphene and graphene oxide. A modeling software tool Catia® and Ansys Workbench® is used to perform the analysis and evaluate the von Mises stress distribution, strain, and deformation at the implant and implant-cortical bone interface. The results showed that the titanium implant with a surface coating of graphene oxide exhibited better mechanical behavior than graphene, with mean von Mises stress of 39.64 MPa in pitch 1, 23.65 MPa in pitch 2, and 37.23 MPa in pitch 3. It also revealed that functionalizing the titanium implant will help in reducing the stress at the implant system. Overall, the study emphasizes the use of FEA analysis methods in solving various biomechanical issues about medical and dental devices, which can further open up for invivo study and their practical uses.

Awareness About Medication-Related Osteonecrosis of the Jaw Among Dental Professionals: A Multicentre Study.

PURPOSE: Bisphosphonates and non-bisphosphonate antiangiogenic and antiresorptive agents are widely used in the management of bone diseases and cancer. A subset of patients receiving these drugs can manifest with medication-related osteonecrosis of the jaw (MRONJ) and it is one of the major complications faced in dental practice. Dentoalveolar and periodontal surgery are the major risk factors associated with it. Therefore, a dentist must have adequate knowledge to promptly identify patients at risk and efficiently manage the condition. This multicentre study was designed with an aim to assess the level of knowledge and awareness regarding MRONJ among dentists from six dental schools. METHODS AND MATERIALS: An online self-administered questionnaire was sent to all the dentists from six dental schools through Google forms. The results obtained were statistically analysed. The Kolmogorov-Smirnov test was performed to check for normality of data, while the Mann-Whitney U-test and chi-square test were used to compare the responses to each question. RESULTS: The questionnaire was sent to 570 dentists, out of which 234 responses were obtained. The majority of participants were aware of the term 'MRONJ' (83.3%), clinical indications of bisphosphonates (61.5%) and its mechanism of action (72.2%). However, 68.4% and 61.5% of dentists had no knowledge about the 'drug holiday' concept and risk factors associated with MRONJ, respectively. CONCLUSION: Although most of the participants had knowledge regarding certain aspects of MRONJ, such as mechanism of action and clinical indications of bisphosphonates, there was a lack of awareness about the drug holiday concept and drug-associated risk factors. This emphasises the need to spread awareness among the dental community, not only in tertiary healthcare centres, but also among private dentists and dental interns to prevent cases of MRONJ.

Evaluation and Comparison of Stress Distribution in Restored Cervical Lesions of Mandibular Premolars: Three-dimensional Finite Element Analysis.

OBJECTIVES: Restorative materials are used in the treatment of cervical lesions and restoration of the dental tooth. The objective of this study was to assess the suitability of the three commonly used restorative materials by dentists and the evaluation of stress distribution and deformation using Von Mises stress in cervical lesions of mandibular premolars under varying loading condition. MATERIALS AND METHODS: A computerized model of restored class V cavity of mandibular premolar tooth was created using three dimensional modeling software SpaceClaim. It was subjected to occlusal pressure load of 100, 150, 200 and 250MPa at right angle to buccal cusp and was analyzed for stress distribution and deformation in different restorative materials using Finite Element analysis, ANSYS Workbench. RESULTS: The analysis carried on the class V restored tooth from biomechanical point of view indicates that restorative material glass-ionomer cement exhibited better bonding with the tooth structure using ionic bonds with the calcium ion present in the tooth structure. The variation of 8%-9% of stress concentration is observed in cavity region across varied pressure loads with glass-ionomer cement to Cention N. CONCLUSION: Glass-ionomer cement had showed better results than amalgam in terms of biomechanical property which is in agreement with the clinical findings. The stress values of Cention N were comparable to that of glass-ionomer cement.