A case-based guide to the interventional management of stroke from leading international experts! Stroke is the most prevalent cerebrovascular emergency, impacting an estimated 15 million people worldwide every year. Endovascular treatment (EVT) of ischemic stroke has expanded at an unforeseen pace, with EVT the most common neurointerventional procedure performed at most large centers. Endovascular Management of Ischemic Stroke: A Case-Based Approach by renowned stroke pioneer Vitor Mendes Pereira and distinguished co-editors features contributions from a "who's who" of global experts. This practical resource provides straightforward guidance for clinicians who need to learn and master state-of-the-art endovascular interventions reflecting the new, evidenced-based treatment paradigm for acute stroke. This carefully crafted reference takes readers on a journey from the early building blocks that led to modern stroke interventions to meticulous step-by-step descriptions of the latest approaches. Fifty high-yield cases mirror real-life scenarios trainees and professionals are likely to encounter in clinical practice. Seven sections encompass a full spectrum of diverse patient presentations, anatomical variations, advanced techniques, complex pathologies, complications, and stroke mimics. Key Highlights Discussion of emerging techniques likely to stand the test of time such as SAVE, ARTS, transradial access, and transcarotid access Stroke mimics important for differential diagnoses, including hemiplegic migraine, MELAS, RCVS, seizure, and more An appendix that covers fundamental terms, trials, and tools   This cutting-edge resource is essential reading for trainee and early-career interventionalists, as well as seasoned practitioners in interventional radiology, neuroradiology, endovascular neurosurgery, and interventional neurology. This book includes complimentary access to a digital copy on https://medone.thieme.com.

Targeted Cancer Imaging: Design and Synthesis of Nanoplatforms based on Tumour Biology reviews and categorizes imaging and targeting approaches according to cancer type, highlighting new and safe approaches that involve membrane-coated nanoparticles, tumor cell-derived extracellular vesicles, circulating tumor cells, cell-free DNAs, and cancer stem cells, all with the goal of pointing the way to developing precise targeting and multifunctional nanotechnology-based imaging probes in the future. This book is highly multidisciplinary, bridging the knowledge gap between tumor biology, nanotechnology, and diagnostic imaging, and thus making it suitable for researchers ranging from oncology to bioengineering. Although considerable efforts have been conducted to diagnose, improve and treat cancer in the past few decades, existing therapeutic options are insufficient, as mortality and morbidity rates remain high. One of the best hopes for substantial improvement lies in early detection. Recent advances in nanotechnology are expected to increase our current understanding of tumor biology, allowing nanomaterials to be used for targeting and imaging both in vitro and in vivo experimental models.

Deep Learning for Chest Radiographs enumerates different strategies implemented by the authors for designing an efficient convolution neural network-based computer-aided classification (CAC) system for binary classification of chest radiographs into "Normal" and "Pneumonia." Pneumonia is an infectious disease mostly caused by a bacteria or a virus. The prime targets of this infectious disease are children below the age of 5 and adults above the age of 65, mostly due to their poor immunity and lower rates of recovery. Globally, pneumonia has prevalent footprints and kills more children as compared to any other immunity-based disease, causing up to 15% of child deaths per year, especially in developing countries. Out of all the available imaging modalities, such as computed tomography, radiography or X-ray, magnetic resonance imaging, ultrasound, and so on, chest radiographs are most widely used for differential diagnosis between Normal and Pneumonia. In the CAC system designs implemented in this book, a total of 200 chest radiograph images consisting of 100 Normal images and 100 Pneumonia images have been used. These chest radiographs are augmented using geometric transformations, such as rotation, translation, and flipping, to increase the size of the dataset for efficient training of the Convolutional Neural Networks (CNNs). A total of 12 experiments were conducted for the binary classification of chest radiographs into Normal and Pneumonia. It also includes in-depth implementation strategies of exhaustive experimentation carried out using transfer learning-based approaches with decision fusion, deep feature extraction, feature selection, feature dimensionality reduction, and machine learning-based classifiers for implementation of end-to-end CNN-based CAC system designs, lightweight CNN-based CAC system designs, and hybrid CAC system designs for chest radiographs. This book is a valuable resource for academicians, researchers, clinicians, postgraduate and graduate students in medical imaging, CAC, computer-aided diagnosis, computer science and engineering, electrical and electronics engineering, biomedical engineering, bioinformatics, bioengineering, and professionals from the IT industry.

This book presents and describes imaging technologies that can be used to study chemical processes and structural interactions in dynamic systems, principally in biomedical systems. The imaging technologies, largely biomedical imaging technologies such as MRT, Fluorescence mapping, raman mapping, nanoESCA, and CARS microscopy, have been selected according to their application range and to the chemical information content of their data. These technologies allow for the analysis and evaluation of delicate biological samples, which must not be disturbed during the profess. Ultimately, this may mean fewer animal lab tests and clinical trials.

"Introduction to Sectional Anatomy Workbook and Board Review Guide "helps you better understand the principles of sectional anatomy, When used in conjunction with its corresponding text, this workbook reinforces key concepts covered in "Introduction to Sectional Anatomy "and contains a variety of exercises and tools that make it easy for you to remember essential information and build critical-thinking skills. This resource is also designed to thoroughly prepare you for the CT and MR registry examinations.

Ideal for residents starting in radiology and radiologic technologists, this concise manual is the perfect introduction to the physics and practice of CT and the interpretation of basic CT images. Designed as a systematic learning tool, it introduces the use of CT scanners for all organs, and includes positioning, use of contrast media, representative CT scans of normal and pathological findings, explanatory drawings with keyed anatomic structures, and an overview of the most important measurement data. Finally, self-assessment quizzes - including answers - at the end of each chapter help the reader monitor progress and evaluate knowledge gained. New in this fifth edition: Recent technical developments such as dual source CT, protocols for CT angiography, and PET/CT fusion. This book includes complimentary access to an online version on https://medone.thieme.com.