Description

By Michael P. Steinmetz MD, Sigurd H. Berven MD, Edward C. Benzel MD

Spinal disorders are a priority for healthcare systems internationally. Offering unparalleled, comprehensive coverage of the pathogenesis, evaluation and management of spinal disorders, Benzel’s Spine Surgery: Techniques, Complication Avoidance, and Management, 6th Edition, remains the definitive text in this challenging field. Written and edited by world-renowned experts, this two-volume masterwork covers everything a practicing spine surgeon, non-operative provider, and trainee needs to know―from fundamentals, biomechanics, applied anatomy, instrumentation, and pathophysiology of spinal disorders to all types of spine techniques, motion preservation strategies, non-surgical management, complication avoidance and management, and controversies. Nearly 200 fully revised, well-illustrated chapters keep you up to date with the latest advancements in spine surgery."This book is a must-have and a gold standard in textbooks on spine surgery…. Compared to other textbooks, the thoroughness, variety of information and resources, and in-depth expert discussion of topics is unique… 5 Stars!" ―Doody's Review Service, review of the previous edition

Shares the knowledge and expertise of an outstanding editorial board, including Dr. Edward C. Benzel, Emeritus Chairman of Neurosurgery at Cleveland Clinic, who has been called “the father of modern spine surgery.”

Focuses on both pathophysiology and surgical treatment of spine disease, with an increased emphasis on minimally invasive surgery

Offers new coverage of practical applications of AI tools and robotics; regenerative medicine; up-to-date biological considerations; restorative approaches to the spine; therapeutic injections; pathology regarding operative surgery and non-operative surgery; and interventional strategies

Includes more procedural videos, new and expanded content throughout, and additional case examples and diagnostic pearls, as well as Key Points boxes at the top of each chapter and algorithms to help streamline the decision-making process