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Focal Laser Ablation of Prostate Cancer: An Office Procedure
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Robotic System for MRI-guided Focal Laser Ablation in the Prostate.

Yue Chen1, Alexander Squires1, Reza Seifabadi2

  • 1College of Engineering, The University of Georgia, Athens, GA, 30605, USA.

IEEE/ASME Transactions on Mechatronics : a Joint Publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division
|May 14, 2019
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Summary

This study introduces a novel MRI-conditional robotic system for prostate cancer focal laser ablation (FLA). The robot demonstrates high accuracy and minimal signal interference, enhancing image-guided interventions.

Keywords:
Focal Laser AblationImage Guided TherapyMRIProstate CancerRobot

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Area of Science:

  • Medical Robotics
  • Interventional Radiology
  • Oncology

Background:

  • MRI-guided interventions offer precision but require specialized equipment.
  • Robotic platforms can improve accuracy and safety in minimally invasive procedures.
  • Focal laser ablation (FLA) is a promising treatment for prostate cancer.

Purpose of the Study:

  • To design, build, and test an MRI-conditional robotic platform for MRI-guided prostate cancer FLA.
  • To evaluate the robotic manipulator's MR compliance, positioning accuracy, and needle insertion accuracy.

Main Methods:

  • A pneumatically-actuated, computer-assisted robotic manipulator with a CoreXY frame was developed.
  • The system was tested in a 3T MR scanner for MR compliance and positioning accuracy.
  • Phantom studies were conducted to assess needle insertion accuracy.

Main Results:

  • The robotic manipulator exhibited less than 8% signal-to-noise ratio (SNR) variation in the MRI scanner.
  • High targeting accuracy was achieved with a mean positioning error of 0.46 mm (SD = 0.25 mm).
  • Needle insertion accuracy in phantom studies was within 2 mm (Mean = 1.7 mm, SD = 0.2 mm).

Conclusions:

  • The developed MRI-conditional robotic platform is suitable for precise MRI-guided prostate cancer FLA.
  • The system demonstrates excellent MR compliance and high accuracy, supporting its clinical potential.
  • This technology can enhance the safety and efficacy of image-guided interventions.