Traumatic dental injuries comprise a number of the dental emergency patients who are often seen after hours or on an unscheduled basis in a dental practice environment. Although there are a variety of traumatic dental injuries that can occur, each with their own recommended treatment protocols, the initial evaluation and diagnosis of the traumatized dentition make up a critical aspect of the management of these cases. This article will highlight the key components of a thorough and efficient examination process of the traumatized dentition to include (1) documenting an accurate history of the events causing the injury, (2) performing a systematic clinical examination to include the use of clinical photographs and pulp sensibility tests, (3) obtaining appropriate radiographic images and scans, (4) understanding some considerations unique to evaluating young patients with traumatic injuries, and (5) recognizing the importance of having accurate and thorough documentation of these types of cases. Once the evaluation and diagnosis phase has been completed, the necessary treatment protocols can be initiated in an appropriate manner.
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http://dx.doi.org/10.1016/j.joen.2019.05.015 | DOI Listing |
J Clin Endocrinol Metab
January 2025
Department of Internal Medicine and Therapeutics, University of Pavia, 27100 Pavia, Italy.
Background: Thyroid nodules classified cytologically as low-risk indeterminate lesions (TIR3A) on fine-needle aspiration biopsy (FNAB) present a clinical challenge due to their uncertain malignancy risk. This single-center study aimed to evaluate the natural history of TIR3A nodules.
Materials And Methods: FNABs performed between July 2017 and December 2019 were retrospectively retrieved and patients with TIR3A nodules were evaluated at baseline and throughout a follow-up based on ultrasound (US) parameters and clinical data.
J Med Internet Res
January 2025
Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.
Background: Neuroimaging segmentation is increasingly important for diagnosing and planning treatments for neurological diseases. Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Cancer Screening, American Cancer Society, Atlanta, GA, United States.
Background: The online nature of decision aids (DAs) and related e-tools supporting women's decision-making regarding breast cancer screening (BCS) through mammography may facilitate broader access, making them a valuable addition to BCS programs.
Objective: This systematic review and meta-analysis aims to evaluate the scientific evidence on the impacts of these e-tools and to provide a comprehensive assessment of the factors associated with their increased utility and efficacy.
Methods: We followed the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and conducted a search of MEDLINE, PsycINFO, Embase, CINAHL, and Web of Science databases from August 2010 to April 2023.
JCO Clin Cancer Inform
January 2025
Department of Radiology, Dr BRAIRCH, All India Institute of Medical Sciences, New Delhi, India.
Purpose: To explore the perceived utility and effect of simplified radiology reports on oncology patients' knowledge and feasibility of large language models (LLMs) to generate such reports.
Materials And Methods: This study was approved by the Institute Ethics Committee. In phase I, five state-of-the-art LLMs (Generative Pre-Trained Transformer-4o [GPT-4o], Google Gemini, Claude Opus, Llama-3.
An Acad Bras Cienc
January 2025
Universidade Federal de Pernambuco, Departamento de Histologia e Embriologia, Av. Prof. Moraes Rego, 1235, Cidade Universitária, 50760-420 Recife, PE, Brazil.
Matrix metalloproteinases (MMP) have been identified as biomarkers for several diseases, including cancer. The increase in the expression of these enzymes has been related to greater tumor aggressiveness. MMP-26 is expressed constitutively in the endometrium and some cancer cells of epithelial origin.
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