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This book provides a unique tool for approaching cranio-vertebral junction (CVJ) surgery. Following a brief introduction to the relevant anatomy and biomechanics of CVJ, it explores the field of cranio-vertebral junction lesions and their management. Furthermore, individual chapters cover endovascular surgery, endoscopic skull base techniques, navigation and robotics, ensuring that surgeons stay up-to-date. A chapter addressing the consequences of CVJ surgery with regard to sagittal balance is of particular importance. The book is structured according both to the type of lesion involving the CVJ (tumor, trauma), and to the type of surgical approach (anterior, posterior). Further, it reflects innovative treatment modalities that have improved patient safety and efficacy rates for surgery involving the CVJ, and covers both open and minimally invasive surgical methods, enabling surgeons to hone their skills in both areas.
Management of CNS Tumors is a selected review of Central Nervous System (CNS) tumors with particular emphasis on pathological classification and complex treatment algorithms for each common tumor type. Additional detailed information is provided on selected CNS tumor associated disorders.
Blood loss in spine surgery is a significant and very common problem connected with all kinds of surgical procedures. An international faculty of authors provide a comprehensive survey on the research and evidence about blood sparing in spine surgery. This publication fills a gap in the spinal literature and provides invaluable data for all those confronted with blood loss during surgical procedures on the spine.
Diseases of the Sinuses: A Comprehensive Textbook of Diagnosis and Treatment, 2nd Edition, offers the definitive source of information about the basic science of the sinuses and the clinical approach to sinusitis. Since the widely praised publication of the first edition, understanding of sinus disease has changed dramatically, mainly as a result of recent developments and new discoveries in the field of immunology. This updated and expanded edition is divided into sections addressing, separately, the pathogenesis, clinical presentation, medical and surgical management of acute and chronic rhinosinusitis. Special entities such as autoimmune-related sinusitis, allergy and sinusitis, and aspir...
This book presents an updated perspective on spinal implants currently used in thoraco-lumbar spine surgery, leading to a rigid or dynamic spine fusion. The development of new surgical devices and techniques is mostly focused on a spinal fusion for lumbar instability due to trauma, tumours or degenerative or infectious diseases. Pedicle-screw fixation and fusion are currently considered to be the gold standard for most of the above-mentioned pathologies, and modern implants are designed to improve the accuracy of pedicle-screw placement and to allow the use of new surgical techniques and minimally invasive approaches. The content is relevant for surgeons, orthopaedic specialists, neurosurgeons, physiotherapists and osteopaths.
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Bio-Inspired Strategies for Modeling and Detection in Diabetes Mellitus Treatment focuses on bio-inspired techniques such as modelling to generate control algorithms for the treatment of diabetes mellitus. The book addresses the identification of diabetes mellitus using a high-order recurrent neural network trained by the extended Kalman filter. The authors also describe the use of metaheuristic algorithms for the parametric identification of compartmental models of diabetes mellitus widely used in research works such as the Sorensen model and the Dallaman model. In addition, the book addresses the modelling of time series for the prediction of risk scenarios such as hyperglycaemia and hypog...
A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural n...