Complications of Reverse Total Shoulder Arthroplasty: A Computational Modelling Perspective

Area of Science:

• Orthopedic surgery
• Biomechanical engineering
• Medical simulation

Background:

• Reverse total shoulder arthroplasty (RTSA) is increasingly used for complex shoulder conditions.
• Younger patients and expanded indications lead to more frequent post-operative complications.
• Computational modeling is advancing to address these challenges in RTSA.

Purpose of the Study:

• To review computational modeling studies investigating RTSA complications.
• To categorize models and their applications related to specific complications.
• To identify how simulations inform mitigation strategies for RTSA adverse events.

Main Methods:

• Systematic review of published computational modeling studies on RTSA.
• Categorization of models based on investigated complications: scapular notching, component loosening, instability, and fractures.
• Analysis of how models assess implant design, component placement, and surgical technique.

Main Results:

• Computational models are primarily used to study the biomechanical effects of surgical variables on RTSA outcomes.
• Key complications investigated include scapular notching, component loosening, instability, and fractures.
• Simulations aim to elucidate mechanisms and guide strategies for complication mitigation.

Conclusions:

• Computational modeling is a valuable tool for understanding and potentially preventing RTSA complications.
• Integrating patient-specific anatomy and surgical planning remains a significant challenge.
• Future research should focus on refining computational models for improved RTSA clinical application.