Oral Kaposi sarcoma in Brazil: a case series of 40 patients highlighting a significant health burden.

Objective: The aim of this study was to provide a comprehensive clinicopathological analysis of oral Kaposi sarcoma (KS) cases and examine its relationship with HIV-related immunosuppression.

Study Design: Paraffin-embedded tissue blocks of patients microscopically diagnosed with oral KS were retrieved from three oral and maxillofacial pathology files. Data including clinical, laboratory, microscopic and immunohistochemical findings and treatment employed were retrieved.

Comparative analysis of clinicopathological characteristics in young and elderly patients with oral squamous cell carcinoma: a retrospective study in Northeastern Brazil.

The aim of this study was to perform a clinicopathological analysis of oral squamous cell carcinoma (OSCC) in young patients from the northeast of Brazil and compare with elderly individuals. This retrospective study reviewed 104 OSCC cases from 2000 to 2015, focusing on patients under 40 and over 60 at diagnosis. Forty-two patients under 40 years old (40.

Plasmablastic Lymphoma in the Submandibular Region Diagnosed by FNAC: A Case Report and Literature Review.

Objective: This study aims to provide a literature review of FNAC-diagnosed plasmablastic lymphoma (PBL) cases and present a case of PBL in an HIV patient diagnosed by FNAC.

Methods: A literature review was conducted across eight databases to compile information on FNAC-diagnosed PBL cases without restricting the site of involvement.

Results: The literature review included 23 PBL, with 13 (56.

Deep Convolutional Neural Network for Accurate Classification of Myofibroblastic Lesions on Patch-Based Images.

Objective: This study aimed to implement and evaluate a Deep Convolutional Neural Network for classifying myofibroblastic lesions into benign and malignant categories based on patch-based images.

Methods: A Residual Neural Network (ResNet50) model, pre-trained with weights from ImageNet, was fine-tuned to classify a cohort of 20 patients (11 benign and 9 malignant cases). Following annotation of tumor regions, the whole-slide images (WSIs) were fragmented into smaller patches (224 × 224 pixels).

Development and Evaluation of a Convolutional Neural Network for Microscopic Diagnosis Between Pleomorphic Adenoma and Carcinoma Ex-Pleomorphic Adenoma.

Aims: To develop a model capable of distinguishing carcinoma ex-pleomorphic adenoma from pleomorphic adenoma using a convolutional neural network architecture.

Methods And Results: A cohort of 83 Brazilian patients, divided into carcinoma ex-pleomorphic adenoma (n = 42) and pleomorphic adenoma (n = 41), was used for training a convolutional neural network. The whole-slide images were annotated and fragmented into 743 869 (carcinoma ex-pleomorphic adenomas) and 211 714 (pleomorphic adenomas) patches, measuring 224 × 224 pixels.

Head and Neck Cancer in Pan-American Notable People: An International Survey.

The study of notable people as advocates for raising cancer awareness began in the latter decades of the 20th century. This research aimed to identify Pan-American notable people with head and neck cancer (HNC) and to explore senior health professionals' perspectives on communicating stories of notable patients with HNC to promote prevention. A cross-sectional survey was conducted using an online questionnaire designed in REDCap and administered to 32 senior health professionals with long-standing academic and clinical backgrounds in HNC.

Mapping oral medicine (stomatology) and oral and maxillofacial pathology international organizations: a scoping review of global data and historical analysis.

Objectives: To describe the historical evolution and dissemination of the Oral Medicine and Oral and Maxillofacial Pathology international societies and associations across the globe, and to provide insights into their significant contributions toward oral health promotion.

Study Design: This review was conducted in accordance with the JBI Scoping Review Methodology Group guidance. The reporting followed the Preferred Reporting Items for Systematic Reviews extension for Scoping Reviews (PRISMA-ScR).

Local anesthesia nerve block for managing burning mouth syndrome: a scoping review.

Objective: To assess the clinical scenarios in which nerve blocks are employed in the context of burning mouth syndrome (BMS).

Study Design: This scoping review followed the PRISMA-ScR. A protocol was generated on Open Science Framework.

Conspiracy of Silence in Head and Neck Cancer Diagnosis: A Scoping Review.

Cancer disclosure represents a complex healthcare dynamic. Physicians or caregivers may be prompted to withhold diagnosis information from patients. This study aims to comprehensively map and synthesize available evidence about diagnosis nondisclosure regarding head and neck cancer (HNC) patients.

Clinicopathological Features of 26 Intraoral Polymorphous Adenocarcinomas from a Single Brazilian Institution.

Purpose: This study describes a large, well-documented case series of salivary gland polymorphous adenocarcinomas (PAC) from a single Brazilian center.

Methods: Demographic data, clinical presentation, histopathological and immunohistochemical features from 26 cases of PAC were analyzed and discussed in detail.

Results: Most patients were females (n = 21), with a ratio of 1:4.

Histopathological risk assessment in multisite epithelial dysplasia: A meta-analysis.

Objective: Histopathological grading of oral epithelial dysplasia (OED) is the current standard for stratifying cancer progression risk but is associated with subjectivity and variability. This problem is not commonly seen regarding the grading of epithelial dysplasia in other sites. This systematic review aims to compare grading systems for oral, anal, penile, and cervical epithelial dysplasia to determine their predictive accuracy for recurrence and malignant transformation (MT) outcomes.

ChatGPT and dentistry: a step toward the future.

This article aims to explore the integration of ChatGPT, an advanced conversational artificial intelligence model, in the field of dentistry. The review primarily consists of information related to the capabilities and functionalities of ChatGPT and how these abilities can aid dental professionals. This study includes data from research papers, case studies, and relevant literature on language models, as well as papers on dentistry, patient communication, dental education, and clinical decision-making.

Intraoral Salivary Gland Cystadenomas: A Case Series Study and Literature Review.

Background: Salivary gland cystadenoma (SGCA) is a rare benign tumor that predominantly occurs in the parotid gland. SGCAs affecting the minor salivary glands are uncommon and often resemble, clinically and histopathologically, other salivary gland lesions.

Methods: This study aimed to describe a series of four cases of SGCA affecting intraoral sites and performed a literature review of well-reported SGCA published in the English-language literature.

Feasibility study of ResNet-50 in the distinction of intraoral neural tumors using histopathological images.

Background: Neural tumors are difficult to distinguish based solely on cellularity and often require immunohistochemical staining to aid in identifying the cell lineage. This article investigates the potential of a Convolutional Neural Network for the histopathological classification of the three most prevalent benign neural tumor types: neurofibroma, perineurioma, and schwannoma.

Methods: A model was developed, trained, and evaluated for classification using the ResNet-50 architecture, with a database of 30 whole-slide images stained in hematoxylin and eosin (106, 782 patches were generated from and divided among the training, validation, and testing subsets, with strategies to avoid data leakage).

Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: A systematic review.

Background: The purpose of this systematic review (SR) is to gather evidence on the use of machine learning (ML) models in the diagnosis of intraosseous lesions in gnathic bones and to analyze the reliability, impact, and usefulness of such models. This SR was performed in accordance with the PRISMA 2022 guidelines and was registered in the PROSPERO database (CRD42022379298).

Methods: The acronym PICOS was used to structure the inquiry-focused review question "Is Artificial Intelligence reliable for the diagnosis of intraosseous lesions in gnathic bones?" The literature search was conducted in various electronic databases, including PubMed, Embase, Scopus, Cochrane Library, Web of Science, Lilacs, IEEE Xplore, and Gray Literature (Google Scholar and ProQuest).

Mapping Conformational Changes in the Saliva Proteome Potentially Associated with Oral Cancer Aggressiveness.

Diverse proteomics-based strategies have been applied to saliva to quantitatively identify diagnostic and prognostic targets for oral cancer. Considering that these targets may be regulated by events that do not imply variation in protein abundance levels, we hypothesized that changes in protein conformation can be associated with diagnosis and prognosis, revealing biological processes and novel targets of clinical relevance. For this, we employed limited proteolysis-mass spectrometry in saliva samples to explore structural alterations, comparing the proteome of healthy control and oral squamous cell carcinoma (OSCC) patients with and without lymph node metastasis.