The MAKO robotic-arm knee arthroplasty system.

Area of Science:

• Orthopedic Surgery
• Robotic-Assisted Procedures
• Medical Device Technology

Background:

• The Mako robotic arm system, initially for unicompartmental knee arthroplasty, has expanded to bicompartmental and total knee arthroplasty.
• The system integrates 3D CT planning, image-based navigation, pre-resection implant modifications, and robotic-assisted bone resection with haptic boundaries.

Purpose of the Study:

• To evaluate the Mako robotic system's effectiveness in knee arthroplasty.
• To assess variable pre-operative implant placement and anatomic reference positioning.
• To analyze bone resection accuracy and final implant evaluation using kinetic sensors.

Main Methods:

• Utilized CT-based planning and intra-operative navigation.
• Incorporated alignment, implant congruency, and gap data.
• Employed robotic arm-assisted bone resection with haptic boundaries and kinetic sensors for evaluation.

Main Results:

• Mako system demonstrated improved implant placement accuracy via CT guidance.
• Achieved greater bone resection accuracy and flexibility in functional implant placement with gap balancing.
• Kinetic sensors contributed to enhanced rotation and improved soft tissue balance.

Conclusions:

• The MAKO system aids surgeons with anatomic landmarks and offers flexibility for independent gap balancing.
• Refinement of implant and alignment, along with 3D soft tissue balancing data, promotes functional stability.
• Registry data indicates improved outcome survivorship regardless of surgeon experience or learning curve.