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Fully revised throughout, the new edition of this concise textbook is aimed at doctors preparing to specialize in stroke care.
Stroke is a leading cause of death and the major cause of long-term, physical, psychological and social disability in the elderly around the world. Knowing and treating the most common risk factors for stroke such as hypertension, diabetes mellitus, dyslipidemia, atrial fibrillation, and obesity may reduce the occurrence of stroke sub-stantially. In the last decades, there has been tremendous progress in the development of noninvasive diagnostic techniques like ultrasound MRI, CT angiography, CT perfusion, as well as new effective therapeutic strategies for acute ischemic stroke which established vascular neurology as one of the most progressive fields in medicine. This publication provides the reader with the most recent updated advanced knowl-edge on the practical clinical approach to stroke medicine. It covers essential and practical information on the pathophysiology and epidemiology of stroke, new diagnostic techniques which allow for better diagnosis and identification of various subtypes of stroke, and new therapeutic strategies for acute stroke and transient ischemic attack.
This user-friendly, practical book guides readers on the diagnosis of rare causes of stroke to improve patient outcomes.
Neurology in Tropics (E-book)
Neurosonology is non-invasive, portable, and has excellent temporal resolution, making it a valuable and increasingly popular tool for the diagnosis and monitoring of neurological conditions when compared to other imaging techniques. This guide looks beyond the use of neurovascular ultrasound in stroke to encompass a wide range of other neurological diseases and emergencies. It offers a practical approach to the examination of patients, interpretation of ultrasound studies, and the application of neurosonology to the development of management and treatment strategies. Each chapter incorporates a thorough and clear procedural methodology alongside scanning tips for trainees; this step-by-step approach is further enhanced by example images and focused diagnostic questions. Authored and edited by international experts, this practical manual of neurosonology is an invaluable resource for neurologists, neurosurgeons, intensivists, radiologists, and ultrasonographers.
This book covers the history of the World Federation of Neurology (WFN), the international society for the clinical neurosciences, from its founding in Brussels in 1957 to the present day.
Most strokes are attributed to atherosclerosis of neck and intracranial arteries, brain embolism from the heart, and penetrating artery disease; these are discussed in detail in many other books. This compendium fills an important niche by providing authoritative discussions on the other, less common causes of stroke, including various forms of angiitis, coagulation disorders, infective, paraneoplastic and metabolic disorders that may be associated with stroke, and a number of rare syndromes such as Eales disease and Fabry's disease. This new edition contains detailed, up-to-date information about the nature, diagnosis, and treatment of those relatively uncommon types of cerebrovascular disease that cause strokes. It is therefore a unique scientific and clinical resource that provides a useful reference to help physicians diagnose and treat stroke patients who do not fit well into the usual clinical categories. New chapters include stroke in patients with Lyme disease, scleroderma, Cogan's syndrome, Chagas' disease, and HIV.
With an estimated global incidence of 11 million patients per year, research involving ischemic stroke requires the collection and analysis of massive data sets affected by innumerable variables. Landmark studies that have historically shaped the foundation of our understanding of ischemic stroke and the development of management protocols have been derived from only a miniscule fraction of a percent of the entire population due to feasibility and capability. Machine learning provides an opportunity to capture data from an extraordinarily larger cohort size, which can be applied to training models to formulate algorithms to forecast outcomes with unparalleled accuracy and efficiency. The par...
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