Περιγραφή
Integrating MRI findings associated with the spectrum of problems seen in the most commonly treated joints in sports medicine with the diagnostic findings seen during arthroscopy of the same joint in the same patient, this unique text correlates this pathology and applies these findings to the clinic, the radiology reading room and the operating suite. Representing a microcosm of daily patient care, this atlas of interactive correlation is an exceedingly effective tool for education and continued learning, an impetus for interdisciplinary research collaboration, and a critical part of an approach to optimum patient care. Furthermore, this case-based correlation between MRI imaging and arthroscopic findings and treatment has been a well-received and effective method for teaching and discussion at meetings and instructional courses.
The second edition of this popular case atlas is organized into five sections highlighting the major joints in which MRI and arthroscopy are most commonly used in sports medicine: knee, shoulder, elbow, hip, and a brand new section on the ankle. Chapters have been reformatted to a consistent presentation, beginning with an overview of the specific disease entity and followed by selected cases chosen by the chapter authors that best illustrate common or noteworthy disease entities or pathology, with an emphasis on the parallel MRI imaging and arthroscopic findings. Throughout the text, updated arthroscopy images reflect current surgical techniques, many of which have changed significantly since the original edition was published. Authors and section editors, many new to this edition, are nationally recognized experts, teachers and pioneers in their respective areas of sports medicine and have covered the gamut of topics in each of their sections.
Taken together, this will be an invaluable resource for sports medicine specialists, orthopedic surgeons and musculoskeletal radiologists alike, promoting increasingly accurate diagnoses of pathology and advanced treatment options to aid in the optimization of patient care and recovery.
