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OBJECTIVE: This study evaluated the influence of a single educational intervention on the perception and knowledge of strategies for communicating oral cancer diagnoses. METHODS: A educational intervention, 72 dentists and 41 dental undergraduates participated in the 'Maio Vermelho Project', a continuing education activity. Participants completed a 14-question online questionnaire concerning their experiences and perceptions of delivering difficult news. The educational intervention featured an interview illustrating the SPIKES protocol, broadcast on YouTube. RESULTS: Participants had a mean age of 40 years. A minority (21.2%) had encountered or experienced communicating an oral cancer diagnosis. Exposure to lectures on this topic during their education was uncommon (22.1%) but more prevalent among students. After the intervention, confidence in communicating a cancer diagnosis (29.2%) and addressing the patient's family (30.1%) in line with the SPIKES protocol increased. CONCLUSION: A training deficit persists in delivering cancer diagnoses, highlighting the need for educational interventions to empower students and professionals in this critical procedure. Integration of this topic into the dental undergraduate curriculum is imperative. CLINICAL RELEVANCE: Effectively communicating a cancer diagnosis poses challenges to healthcare professionals, impacting treatment outcomes. Implementing educational interventions ensures that professionals are well prepared to navigate this complex task, ultimately improving patient care.

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OBJECTIVES: To assess the effectiveness of amitriptyline (AMT), and to identify the determinants of the treatment's effectiveness in patients diagnosed with burning mouth syndrome (BMS). BACKGROUND: Treatment of BMS is challenging and no established treatment protocol is available. AMT may be an important treatment option, cout not all patients benefit from this drug. Studies assessing factors related to treatment response are valuable in improving decision-making. MATERIALS AND METHODS: This case series study examined the medical records of all patients diagnosed with BMS at an oral medicine unit in a university hospital from 2008 to 2022. The patients were divided into responders to AMT and non-responders to AMT. Data on demographic information, comorbidities, medications, types of symptoms and oral subsites affected were collected. Descriptive and bivariate analyses were conducted to assess the association between the independent variables and the outcome, using the Chi-squared test (P < .05). RESULTS: Three hundred and fourty-nine patients reported a burning mouth sensation, 50 of them (14.3%) being diagnosed with primary BMS. Of these, 35 were treated with AMT, and 26 (74.2%) responded significantly to AMT. All males responded to AMT, whereas only 67.9% of females responded. The mean dose of AMT among responders was 29.8 ± 12.3 mg, with most patients achieving a response with 25 mg (61.5% of patients), followed by 50 mg (23%). The concomitant use of an anticonvulsant resulted in non-response. CONCLUSIONS: AMT may be effective in BMS management for most patients.

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In recent years, teledentistry has gained visibility, especially because of the COVID-19 pandemic. Concerning oral medicine, there is great expectation, particularly about its potential to promote early diagnosis of oral lesions. In southern Brazil, two initiatives have shown a positive influence on each other and have led to greater awareness of oral cancer and more access to qualified advice on diagnosing and managing oral lesions. Although the contributions of this approach are promising, there are barriers to be overcome.

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PURPOSE: Distance learning appears to be an attractive approach to continuing education courses, but one barrier is maintaining learner engagement throughout the course. The primary aim of this research was to evaluate the operational efficacy of a private Facebook™ group (FG) in serving as a support mechanism for distance learning courses, and its impact on three fundamental dimensions: the attrition rates of participants who did not complete the course (commonly referred to as dropout rates), the rates of course completion and approval, and the overall performance of the participants. METHODS: The participants of this quasi-experimental study comprised 159 dental students and 565 dentists enrolled in an e-learning course on oral mucosal lesion diagnosis. Prior to the initiation of the course, all participants were provided with the option to join a private FG. Within this group, moderators shared motivational messages and provided reminders concerning deadlines. Moreover, participants had the opportunity to engage in interactive discussions pertaining to topics related to the course. The course itself followed a self-guided format, employing the flipped-classroom methodology, spanning a total of 50 instructional hours. In order to assess the effectiveness of the course, participants were presented with photographs illustrating 30 oral lesions and were asked to propose diagnostic hypotheses both before and after the educational intervention (pre-tests and post-tests). RESULTS: Dentists who participated in the FG exhibited a significantly lower rate of discontinuation. As for dental students, their involvement in the group was positively associated with better performance, as determined by the percentage of accurate diagnostic hypotheses (a minimum of 70% correct responses was required for their approval in the course). CONCLUSIONS: Facebook™ demonstrates promise as a supplementary pedagogical tool in distance education courses. The interactive nature of the platform has the potential to alleviate the inherent challenges of remote learning.

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This study aimed to evaluate the contribution of oral and maxillofacial pathology laboratories (OMPLs) in Brazilian public universities to the diagnosis of lip, oral cavity, and oropharyngeal squamous cell carcinoma (SCC). A cross-sectional study was performed using biopsy records from a consortium of sixteen public OMPLs from all regions of Brazil (North, Northeast, Central-West, Southeast, and South). Clinical and demographic data of patients diagnosed with lip, oral cavity, and oropharyngeal SCC between 2010 and 2019 were collected from the patients' histopathological records. Of the 120,010 oral and maxillofacial biopsies (2010-2019), 6.9% (8,321 cases) were diagnosed as lip (0.8%, 951 cases), oral cavity (4.9%, 5,971 cases), and oropharyngeal (1.2%, 1,399 cases) SCCs. Most cases were from Brazil's Southeast (64.5%), where six of the OMPLs analyzed are located. The predominant profile of patients with lip and oral cavity SCC was Caucasian men, with a mean age over 60 years, low schooling level, and a previous history of heavy tobacco consumption. In the oropharyngeal group, the majority were non-Caucasian men, with a mean age under 60 years, had a low education level, and were former/current tobacco and alcohol users. According to data from the Brazilian National Cancer Institute, approximately 9.9% of the total lip, oral cavity, and oropharyngeal SCCs reported over the last decade in Brazil may have been diagnosed at the OMPLs included in the current study. Therefore, this data confirms the contribution of public OMPLs with respect to the important diagnostic support they provide to the oral healthcare services extended by the Brazilian Public Health System.

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The aim of this study was to develop a virtual learning object (VLO) to teach undergraduate dental students about the diagnostic and therapeutic approaches to oral ulcerative lesions. The VLO was developed with information on the diagnostic process, lesion classification, and clinical-surgical management of oral ulcerative lesions. The VLO content was initially validated by a group of specialists. Learning was evaluated in a sample of 58 undergraduate dental students, divided into control group (conventional theoretical class, n = 29) and intervention group (interaction with VLO, n = 29). All students answered a pre-test and post-test questionnaire. The VLO group also answered a specific questionnaire on the evaluation of the VLO. Both quantitative and qualitative descriptive analyses were performed. The validation showed that professors and students considered the VLO adequate. The use of the VLO was recommended by 100% of professors and 86.6% of students. In the intervention group, the results showed a significantly higher number of correct answers in the post-test (p < 0.01). In conclusion, the VLO proved to be a useful tool for teaching oral medicine, contributing significantly to the knowledge of ulcerated lesions in the mouth.

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OBJECTIVES: Artificial intelligence has generated a significant impact in the health field. The aim of this study was to perform the training and validation of a convolutional neural network (CNN)-based model to automatically classify six clinical representation categories of oral lesion images. METHOD: The CNN model was developed with the objective of automatically classifying the images into six categories of elementary lesions: (1) papule/nodule; (2) macule/spot; (3) vesicle/bullous; (4) erosion; (5) ulcer and (6) plaque. We selected four architectures and using our dataset we decided to test the following architectures: ResNet-50, VGG16, InceptionV3 and Xception. We used the confusion matrix as the main metric for the CNN evaluation and discussion. RESULTS: A total of 5069 images of oral mucosa lesions were used. The oral elementary lesions classification reached the best result using an architecture based on InceptionV3. After hyperparameter optimization, we reached more than 71% correct predictions in all six lesion classes. The classification achieved an average accuracy of 95.09% in our dataset. CONCLUSIONS: We reported the development of an artificial intelligence model for the automated classification of elementary lesions from oral clinical images, achieving satisfactory performance. Future directions include the study of including trained layers to establish patterns of characteristics that determine benign, potentially malignant and malignant lesions.

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Artificial neural networks (ANN) are artificial intelligence (AI) techniques used in the automated recognition and classification of pathological changes from clinical images in areas such as ophthalmology, dermatology, and oral medicine. The combination of enterprise imaging and AI is gaining notoriety for its potential benefits in healthcare areas such as cardiology, dermatology, ophthalmology, pathology, physiatry, radiation oncology, radiology, and endoscopic. The present study aimed to analyze, through a systematic literature review, the application of performance of ANN and deep learning in the recognition and automated classification of lesions from clinical images, when comparing to the human performance. The PRISMA 2020 approach (Preferred Reporting Items for Systematic Reviews and Meta-analyses) was used by searching four databases of studies that reference the use of IA to define the diagnosis of lesions in ophthalmology, dermatology, and oral medicine areas. A quantitative and qualitative analyses of the articles that met the inclusion criteria were performed. The search yielded the inclusion of 60 studies. It was found that the interest in the topic has increased, especially in the last 3 years. We observed that the performance of IA models is promising, with high accuracy, sensitivity, and specificity, most of them had outcomes equivalent to human comparators. The reproducibility of the performance of models in real-life practice has been reported as a critical point. Study designs and results have been progressively improved. IA resources have the potential to contribute to several areas of health. In the coming years, it is likely to be incorporated into everyday life, contributing to the precision and reducing the time required by the diagnostic process.

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Ameloblastic carcinoma (AC) is an uncommon malignant odontogenic tumor, with about 200 cases published in the literature. Here, we report a case of AC occurring in the maxilla - at the same anatomical location of an ameloblastoma 8 years earlier. A 23-year-old woman with maxillary swelling of 6-month duration was referred to our service. Extraoral examination revealed a swelling over the right side of the face, lifting her lip and nose. Intraorally, a firm, reddish, nodular swelling involving the right maxilla was observed. Computed tomography showed a hypodense image invading the right maxilla, maxillary sinus, and nasal fossa. An incisional biopsy was performed, followed by histopathologic examination and an immunohistochemical panel, which led to the diagnosis of AC. The lesion was treated with partial maxillectomy followed by immediate rehabilitation. Neither local recurrence of the tumor nor distant metastasis was observed during a 4-year follow-up. AC is a highly malignant lesion which requires aggressive therapy. Its diagnosis should be based on combined clinical, imaging, and pathological manifestations in order to improve diagnostic accuracy.

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