Teaching Atlas Of Spine Imaging

Professor Ramsey undertook a massive project and brought it to a magnificent conclusion. The MR images are of high quality and [the] well-written commentary is easy to understand. Well worth the investment...-Radiologic Technology I strongly recommend this book to individuals who are required to interpret MRIs of the vertebral column and the spinal cord... great practical use to clinicians... very absorbing; it was easy to read an entire section in one sitting.-The Journal of Bone and Joint Surgery The author has met her purpose in producing a user-friendly spinal imaging atlas that will aid clinicians caring for patients with spine disease.-Radiology Containing nearly 1,000 illustrations and a broad array of case studies, this comprehensive, practical reference simulates an actual clinical setting in which readers view images of a spinal abnormality and then see the correct differential diagnosis. The book contains hundreds of instructive cases, and is ideal for teaching and self-assessment. Practical and complete, the book offers a broad array of classic and unusual cases for residents and practicing surgeons. This easy-to-use resource is the perfect tool for qualifying and CAQ exam preparation.

Two-thirds of degenerative diseases of the vertebral column involve the lumbar spine. Magnetic resonance imaging plays a pivotal role in diagnosis and treatment. With more than 450 illustrations and 78 case studies illustrating various constellations of findings, this book provides a wealth of illustrations that guide the reader through the MR imaging of lumbar disk herniations and spinal stenosis: Impressive series of MR images illustrate both common and unusual findings, helping to enhance conceptual understanding and sharpen diagnostic perception. Clinical findings and progression are covered in addition to MRI findings, helping the reader to appreciate the correlations between clinical and imaging findings. The role of diagnostic imaging is addressed for specific disorders, helping to foster the more discriminating use of imaging procedures in the lumbar spine.The book concludes with a chapter on the current technique of performing CT-guided injections at the lumbar level.

The latest addition to the popular Teaching Atlas series, Teaching Atlas of Musculoskeletal Imagingprovides a complete overview of the most common manifestations of musculoskeletal disorders as well as the most important rare diseases. Internationally recognized authors guide the reader through multi-modality imaging approaches for 130 problems, which are grouped according to broad categories, including internal joint derangement, tumors, infection, avascular bone, trauma, arthritis, and prostheses. Each case provides concise descriptions of the presenting signs, radiologic findings, diagnosis, and differential diagnosis. Up-to-date information on musculoskeletal pathology and the current management strategies, including the latest interventional radiology techniques, make this atlas an outstanding reference for daily practice.Highlights:-Essential information on the use of radiography, ultrasound, CT, and MRI enables clinicians to select the best combination of multiple imaging modalities for each case-Bullet-point lists of Pearls and Pitfalls guide readers through diagnosis and help them avoid errors in image interpretation-900 images demonstrate key aspects of common and rare disease manifestations, providing an invaluable cross-reference tool for clinicians managing live casesIdeal for rapid reference and review, this atlas is an invaluable resource for clinicians and residents in radiology, orthopedics, interventional musculoskeletal radiology, as well as those in musculoskeletal pathology, rheumatology, and sports medicine.

This concise, yet detailed collection of images offers complete guidance on CT, MR, and nuclear medicine imaging for all aspects of common and uncommon spinal diseases. In addition to annotated illustrations, the text provides background information on each disease entity, a detailed approach to the interpretation of images, and specific recommendations for reporting. Discusses and illustrates trauma, neoplasms, infections, and congenital and developmental anomalies. Provides detailed discussions of spondylolysis. Examines degenerative diseases in detail. Explains and illustrates current terminology for degenerative diseases according to the guidelines of the North American Spine Society and the American Society of Neuroradiology. Evaluates post-operative complications and associated imaging findings. Features algorithms and tables to illustrate key concepts. Emphasizes algorithmic work-ups of tumors and suspected infections to promote correct categorization of findings. Uses a logical organization for easy access to information, with tumors arranged in the traditional neuroradiology/neurosurgery differential categories.

MR Imaging and Spectroscopy of the Developing Brain.- Congenital Malformation of the Brain.- Inherited Neurological Diseases and Disorders of Myelin.- Acquired Toxic and Metabolic Brain Disorders.- Tumors: Paratentorial Neoplasms.- Tumors: Supratentorial Neoplasms.- Brain Damage.- Miscellaneous.- Vascular Abnormalities.- Temporal Bone.- Spine.- Fetal Imaging.

Comprehensive review of diseases of the abdomen and pelvis Teaching Atlas of Abdominal Imaging is a case-based reference covering the full spectrum of common and uncommon problems of the gastrointestinal and genitourinary tract encountered in everyday practice. The book organizes cases into sections based on the anatomic location of the problem. Each chapter provides succinct descriptions of clinical presentation, radiologic findings, diagnosis, and differential diagnosis for the case. The chapter then discusses the background for each diagnosis, clinical findings, common complications, etiology, imaging findings, treatment, and prognosis. Key features: Succinct text and consistent presentation in each chapter enhance the ease of use Practical discussion of all current imaging modalities Nearly 550 high-quality images demonstrate key concepts Bulleted lists of pearls and pitfalls at the end of each chapter highlight important points An appendix with 64-slice protocols for various CT scans, such as dual-phase liver and pancreatic scans Ideal for both self-assessment and rapid review, this book is a valuable resource for radiologists, gastrointestinal and genitourinary radiologists, and fellows and residents in these specialties.

Spine-related pain is the world’s leading disabling condition, affecting every population and a frequent reason for seeking medical consultation and obtaining imaging studies. Numerous spinal phenotypes (observations/traits) and their respective measurements performed on various spine imaging have been shown to directly correlate and predict clinical outcomes. Atlas of Spinal Imaging Phenotypes: Classifications and Radiographic Measurements is a comprehensive visual resource that highlights various spinal phenotypes on imaging, describes their clinical and pathophysiological relevance, and discusses and illustrates their respective measurement techniques and classifications. Helps readers better understanding spinal phenotypes and their imaging, and how today’s knowledge will facilitate new targeted drug discovery, novel diagnostics and biomarker discovery, and outcome predictions. Features step-by-step instructions on performing the radiographic measurements with examples of normal and pathologic images to demonstrate the various presentations. Presents clinical correlation of the phenotypes as well as the radiographic measurements with landmark references. Includes validated classification systems that complement the phenotypes and radiographic measurements. Complies the knowledge and expertise of Dr. Dino Samartzis, the preeminent global authority on spinal phenotypes who has discovered and proposed new phenotypes and classification schemes; Dr. Howard S. An, a leading expert in patient management and at the forefront of 3D imaging of various spinal phenotypes; and Dr. Philip Louie, a prolific surgeon who is involved in one of the largest machine learning initiatives of spinal phenotyping.