State of the Art Planning of Shoulder Arthroplasty

Description

In this presentation, Ryan Simovitch discusses the complexities involved in surgical planning for shoulder arthroplasty. He emphasizes the importance of considering each patient's unique anatomical and pathological factors, supported by advanced imaging techniques such as X-rays, CT scans, and 3D reconstructions. The discussion highlights the evolving role of machine learning and AI in customizing surgical approaches and the significance of understanding glenoid anatomy and the implications of different types of glenoid deformities, such as B2 and B3 types. Dr. Joseph Ianotti continues the conversation, focusing on anatomic substitutions for patients who may benefit from them despite previous failures. The dialogue explores how to correctly size and position implants, the potential impact of bone loss on outcomes, and the importance of technical execution during surgery to prevent short-term failures associated with incorrect implant placement. The use of patient-specific instrumentation (PSI) and navigation technologies is also suggested as methods to enhance surgical precision.

Specialties