The temporomandibular joint (TMJ) is of great importance in the assessment, diagnosis and treatment of many craniofacial disorders. Frequently overlooked by medical practitioners as a source of patient discomfort, the key to understanding the joint and its role in abnormal conditions is the complex nature of its structure. Returning to biological fundamentals provides an essential foundation on which to build techniques for diagnosis and ultimately treatment regimens. In considering the aetiology of craniomandibular disorders many factors have to be sifted. These include predisposing factors such as size, shape and interrelation of the parts of the stomatognathic system. Precipitating causes may include trauma to the head and neck as well as stress to the individual, while perpetuating influences are manifested in the myospasm-pain-myospasm cycle. The complexity of the joint system is reflected in the range and diversity of the thorough examination which the clinician is required to perform. Listening to the patient's description of their symptoms is of crucial importance in the initial stages to provide guidance for the ensuing examination procedures. Relief of pain, generally caused by muscle spasm, is the primary treatment objective. Many modes of treatment are available in the long-term resolution of the disorders and these range from medicinal, nutritional and psychological therapies to occlusal equilibration and physiotherapy.
Download full-text PDF |
Source |
---|
Lung Cancer
January 2025
Dept. of Medical Oncology, Princess Margaret Cancer Center, Toronto, ON, Canada.
Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.
View Article and Find Full Text PDFActa Pharm
December 2024
Department of Clinical Pharmacy, University Hospital Dubrava, 10000 Zagreb Croatia.
Cardiovascular diseases (CVDs) are the leading cause of mortality and morbidity globally. It is estimated that 17.9 million people died from CVDs in 2019, which represents 32 % of all deaths worldwide.
View Article and Find Full Text PDFEur Heart J Cardiovasc Imaging
January 2025
Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
Aim: Computed tomography (CT)-derived extracellular volume fraction (ECV) is a non-invasive method to quantify myocardial fibrosis. Evaluating CT-ECV during aortic valve replacement (AVR) planning CT in severe aortic stenosis (AS) may aid prognostic stratification. This meta-analysis evaluated the prognostic significance of CT-ECV in severe AS necessitating AVR.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
School of Nursing, Anhui Medical University, Hefei, China.
Background: Body image issues are prevalent among individuals diagnosed with cancer, leading to detrimental effects on their physical and psychological recovery. eHealth has emerged as a promising approach for enhancing the body image of patients with cancer.
Objective: The purpose of this study was to evaluate the effectiveness of eHealth interventions on body image and other health outcomes (quality of life, physical symptoms, and emotional distress) among patients with cancer.
Noise Health
January 2025
Department of Geriatric Health Internal Medicine, Qingdao Municipal Hospital, Qingdao 266000, China.
Objective: Evaluate the effect of white noise intervention on sleep quality and immunological indicators of patients with breast cancer undergoing neoadjuvant chemotherapy (NAC).
Methods: From January 2020 to December 2022, 104 newly diagnosed female patients (the number of people who met the inclusion criteria) with breast cancer who were confirmed to be preoperative NAC by puncture pathology were selected for a randomised single-blind trial. The patients were randomly divided into an observation group and a control group, with 52 cases in each group.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!