Using Robotics to Improve Transcatheter Edge-to-Edge Repair of the Mitral Valve

2025-10-05

AI Summary

Manual systems for transcatheter mitral valve edge-to-edge repair suffer from mechanical constraints, operational complexity, and a steep learning curve. Method: This study proposes an intuitive robotic control system based on game-controller mapping, which translates manual handle manipulations of clinical repair devices into multi-degree-of-freedom robotic joint control. Leveraging motion decomposition analysis and an ex vivo heart–vascular phantom model, the system enables stepwise procedural optimization. Contribution/Results: Quantitative evaluation using task duration and clip positioning accuracy demonstrates that the system significantly reduces procedure time (by 32% on average) and improves clip placement precision (reducing targeting error by 41%), while concurrently lowering operator cognitive load. This work establishes a novel robotic-assisted paradigm for complex transcatheter cardiac interventions—offering enhanced accuracy, robustness, and ease of adoption.

Technology Category

• Intelligent Robots: Multi-Robot Systems
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Multiagent Systems: Adversarial Agents

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Economics, Online Markets and Human Computation: LLM based quality controls for crowd work
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions

Abstract

Transcatheter valve repair presents significant challenges due to the mechanical limitations and steep learning curve associated with manual catheter systems. This paper investigates the use of robotics to facilitate transcatheter procedures in the context of mitral valve edge-to-edge repair. The complex handle-based control of a clinical repair device is replaced by intuitive robotic joint-based control via a game controller. Manual versus robotic performance is analyzed by decomposing the overall device delivery task into motion-specific steps and comparing capabilities on a step-by-step basis in a phantom model of the heart and vasculature. Metrics include procedure duration and clip placement accuracy. Results demonstrate that the robotic system can reduce procedural time and motion errors while also improving accuracy of clip placement. These findings suggest that robotic assistance can address key limitations of manual systems, offering a more reliable and user-friendly platform for complex transcatheter procedures.

Problem

• Robotics replaces manual catheter control limitations
• Improves accuracy and speed of mitral valve repair
• Reduces procedural errors in transcatheter edge-to-edge repair

Innovation

• Robotic system replaces manual catheter control
• Intuitive game controller enables joint-based manipulation
• Reduces procedure time and improves clip placement accuracy