Omuz Ağrısına Algoritmik Yaklaşım
Özet
Bu bölüm, omuz ağrısına klinik yaklaşımı hem algoritmik hem de hastalık bazlı bir çerçevede ele almaktadır. Değerlendirme süreci, anamnezden fizik muayeneye, spesifik testlerden görüntüleme ve ileri tanısal yöntemlere uzanan sistematik bir yol izler. Algoritmik yaklaşım, klinisyene omuz ağrısının kökenini hızlı ve güvenilir biçimde ayırıcı tanıyla belirleme olanağı sağlarken; hastalık bazlı yaklaşım, rotator manşet patolojileri, subakromiyal sıkışma, omuz instabilitesi, donuk omuz ve akromiyoklaviküler eklem sorunları gibi yaygın durumların ayrıntılı incelenmesini içerir. Bölüm ayrıca konservatif ve invaziv tedavi seçeneklerini, rehabilitasyon ilkelerini ve fonksiyonel iyileşmeyi destekleyen güncel kanıt temelli uygulamaları özetlemektedir. Amaç, klinisyenlere hem pratik hem de bilimsel temelli bir yol haritası sunarak omuz ağrısının etkin yönetimini kolaylaştırmaktır.
This chapter presents a structured clinical approach to shoulder pain, combining algorithmic decision pathways with disease‑specific evaluation. The process includes systematic steps from history taking and physical examination to special tests, imaging, and advanced diagnostic methods. The algorithmic model guides clinicians in efficient differential diagnosis, while the disease‑based section provides in‑depth coverage of common conditions such as rotator cuff disorders, subacromial impingement, shoulder instability, adhesive capsulitis, and acromioclavicular joint pathology. The chapter also summarizes conservative and interventional treatment options, rehabilitation principles, and evidence‑based strategies supporting functional recovery. Its primary aim is to provide clinicians with a practical and scientifically grounded framework for effective management of shoulder pain.
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