This book presents and analyzes clinical cases of brain tumors and follows the classification provided by the WHO in 2016. After introductory chapters reviewing the international literature on the topic, the advances made in all imaging modalities (especially Magnetic Resonance and Computed Tomography) are examined.All radiological findings are supplemented with a wealth of images and brief explanations. The clinical information is given as part of the case discussion, as are the characteristics and differential diagnosis of the tumors. Radiologic-pathologic correlations round out the description of each clinical case.Intended as a quick and illustrative reference guide for radiology residents and medical students, this atlas represents the most up-to-date, practice-oriented reference book in the field of Brain Tumor Imaging.

This book describes the basics, the challenges and the limitations of state of the art brain tumor imaging and examines in detail its impact on diagnosis and treatment monitoring. It opens with an introduction to the clinically relevant physical principles of brain imaging. Since MR methodology plays a crucial role in brain imaging, the fundamental aspects of MR spectroscopy, MR perfusion and diffusion-weighted MR methods are described, focusing on the specific demands of brain tumor imaging. The potential and the limits of new imaging methodology are carefully addressed and compared to conventional MR imaging. In the main part of the book, the most important imaging criteria for the differential diagnosis of solid and necrotic brain tumors are delineated and illustrated in examples. A closing section is devoted to the use of MR methods for the monitoring of brain tumor therapy. The book is intended for radiologists, neurologists, neurosurgeons, oncologists and other scientists in the biomedical field with an interest in neuro-oncology.

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

GLOBAL EPIDEMIOLOGY OF CANCER Cancer is the second highest cause of death in the United States, and a leading cause of death globally. Our goals are to discuss the global epidemiology of various cancers, with detailed information on their prevalence, incidence, and clinical considerations. Epidemiology is the key to understanding the mortality and morbidity of cancer, and how we can prevent, diagnose, and treat the disease. Prevention of cancer is essential for saving lives. Prevalence and incidence of cancer are key factors that each government and population must be aware of. Advances in the study of cancer occur on a regular basis, and this book provides the latest insights about relationships between the disease and stem cells, tumorigenesis, molecular interactions, pathways, channels, and immunity. Global Epidemiology of Cancer: Diagnosis and Treatment meets the needs of readers by providing current information about epidemiology (including molecular epidemiology), diagnosis, and treatment. Providing logical, step-by-step information on various cancers, this book consolidates all of the most up-to-date information and data from verified studies on all different types of cancers in the United States and throughout the world. Chapters are presented so that each includes an overview, clinical manifestations, epidemiology, pathophysiology, etiology and risk factors, diagnosis, treatment, prevention, and prognosis. Global Epidemiology of Cancer: Diagnosis and Treatment will be invaluable to graduate and postgraduate students, including medical students; nurses; physician assistants; residents in oncology; public health students and allied health students.

Epidemiology of Brain and Spinal Tumors provides a single volume resource on imaging methods and neuroepidemiology of both brain and spinal tumors. The book covers a variety of imaging techniques, including computed tomography (CT), MRI, positron emission tomography (PET), and other laboratory tests used in diagnosis and treatment. Detailed epidemiology, various imaging methods, and clinical considerations of tumors of the CNS make this an ideal reference for users who will also find diverse information about structures and functions, cytology, epidemiology (including molecular epidemiology), diagnosis and treatment. This book is appropriate for neuroscience researchers, medical professionals and anyone interested in a complete guide to visualizing and understanding CNS tumors. - Provides the most up-to-date information surrounding the epidemiology, biology and imaging techniques for brain and spinal tumors, including CT, MRI, PET, and others - Includes full color figures, photos, tables, graphs and radioimaging - Contains information that will be valuable to anyone interested in the field of neurooncology and the treatment of patients with brain and spinal tumors - Serves as a source of background information for basic scientists and pharmaceutical researchers who have an interest in imaging and treatment

This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during February 23–25, 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT), and information security.

With over 400 illustrations, this thoroughly updated edition examines how parts of the nervous system work together to regulate body systems and produce behavior.