Learning Curve of Robotic Percutaneous Coronary Intervention: A Single-Center Experience

Area of Science:

• Cardiovascular Interventions
• Medical Robotics
• Health Services Research

Background:

• Robotic percutaneous coronary intervention (R-PCI) offers benefits over traditional methods but faces low utilization.
• A significant learning curve is perceived as a barrier to R-PCI adoption.
• This study quantifies the learning curve for R-PCI.

Purpose of the Study:

• To describe the characteristics and magnitude of the learning curve associated with robotic percutaneous coronary intervention (R-PCI).
• To analyze the impact of operator experience on key procedural metrics in R-PCI.
• To identify the number of procedures required to achieve proficiency in R-PCI.

Main Methods:

• Prospective study of consecutive patients undergoing R-PCI by a single operator.
• Collected demographic, angiographic, and procedural data.
• Analyzed fluoroscopy time, procedure time, and contrast volume against case number to identify learning curve effects.

Main Results:

• Procedure time, contrast volume, and fluoroscopy time all decreased with increasing R-PCI experience.
• Significant improvements in procedure time and contrast volume were observed by procedures 50 and 30, respectively.
• Fluoroscopy time showed a plateau after approximately 15 procedures, indicating rapid skill acquisition.

Conclusions:

• A distinct learning effect is evident in R-PCI, with substantial improvements in efficiency metrics within the first 50 procedures.
• Continued, albeit lesser, improvements occur beyond the initial 50 cases.
• Quantifying this learning curve can help address adoption barriers and optimize training for R-PCI.