Massive Rotator Cuff Tears Diagnosis and Management 1st Editon 2014 Hardbound at Meripustak

Massive Rotator Cuff Tears Diagnosis and Management 1st Editon 2014 Hardbound

Books from same Author: Lawrence V. Gulotta, Edward V. Craig

Books from same Publisher: Springer

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  • General Information  
    Author(s)Lawrence V. Gulotta, Edward V. Craig
    PublisherSpringer
    Edition1st Edition
    ISBN9781489974938
    Pages163
    BindingHardbound
    LanguageEnglish
    Publish YearOctober 2014

    Description

    Springer Massive Rotator Cuff Tears Diagnosis and Management 1st Editon 2014 Hardbound by Lawrence V. Gulotta, Edward V. Craig

    Presenting a logical, comprehensive approach to the patient with a massive rotator cuff tear, this book begins with the pathoanatomy and diagnostic work-up for this common injury, including imaging. Both non-operative and operative treatment options for massive tears follow, including arthroscopy, the use of biologics and patches, tendon transfers, and hemiarthroplasty and reverse total shoulder arthroplasty. A practical treatment algorithm for clinicians treating patients with massive rotator cuff tears is also included. Each chapter opens with pearls and pitfalls covering the main key points for quick reference. The overarching theme of this book is that patients with similar imaging findings may demonstrate very different clinical presentations, and the final treatment recommendation should be made based on their complaints and expectations. As such, it will be an excellent resource for orthopedic surgeons, sports medicine and shoulder physicians, physiatrists, physical medicine and rehab specialists, and occupational therapists. Pathophysiology of Rotator Cuff Tears.- History and Physical Exam.- Imaging of the Rotator Cuff.- Non-Operative Management: Natural History, Medications and Injections.- Arthroscopic Treatment.- Biologics and Patches.- Latissimus Dorsi Tendon Transfer.- Pectoralis Major Tendon Transfer.- Hemiarthroplasty.- Reverse Total Shoulder Arthroplasty.- Treatment Algorithm for Patients with Massive Rotator Cuff Tears.