Computer assisted navigation in total shoulder arthroplasty

Area of Science:

• Orthopedic Surgery
• Biomedical Engineering
• Surgical Technology

Background:

• Total shoulder arthroplasty utilization has surged due to innovations like reverse shoulder arthroplasty and advanced planning.
• Three-dimensional computed tomography (3D CT)-based planning software aids in glenoid deformity assessment and implant selection.
• Intraoperative guidance technology ensures precise execution of preoperative surgical plans.

Purpose of the Study:

• To review the current status of computer-assisted navigation (CAN) in shoulder arthroplasty.
• To discuss the surgical technique and literature regarding CAN for glenoid component placement.
• To evaluate the role of CAN in improving accuracy and outcomes in shoulder replacement surgery.

Main Methods:

• Review of current literature on computer-assisted navigation in shoulder arthroplasty.
• Discussion of the surgical technique for utilizing CAN in glenoid component implantation.
• Analysis of studies reporting on the accuracy and outcomes of CAN in shoulder replacement.

Main Results:

• Computer-assisted navigation (CAN) is available for glenoid component placement, offering real-time intraoperative feedback.
• CAN demonstrates improved accuracy and precision in glenoid component placement, particularly in complex primary and revision cases.
• CAN is a safe and effective intraoperative tool with low complication rates, leading to better short-term outcomes.

Conclusions:

• Computer-assisted navigation (CAN) is a valuable tool for enhancing precision in glenoid component placement during shoulder arthroplasty.
• While long-term benefits on implant survivorship require further investigation, CAN offers significant advantages in complex surgical scenarios.
• CAN represents a safe and effective intraoperative guidance technology for shoulder arthroplasty, improving surgical accuracy and patient outcomes.