Related Experiment Video
Updated: Jun 1, 2025
Robotic Left Hepatectomy using Indocyanine Green Fluorescence Imaging for an Intrahepatic Complex Biliary Cyst
Published on: June 24, 2022
Image Guided Percutaneous Robotic Interventions for Solid Organs.
Govindarajan Narayanan1, Ripal T Gandhi1, Bente A T van den Bemd2
1Herbert Wertheim College of Medicine, Florida International University, Miami, FL; Department of Interventional Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL; Department of Interventional Radiology, Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami, FL.
Robotic systems enhance precision in minimally invasive cancer procedures like biopsies and ablations. These advanced tools improve needle accuracy and access, offering future potential for challenging tumor treatments.
Area of Science:
- Medical Robotics
- Interventional Oncology
- Image-Guided Interventions
Background:
- Minimally invasive procedures in interventional oncology have seen significant advancements.
- Robotic systems are increasingly utilized for image-guided interventions, particularly percutaneous procedures using CT, Cone-beam CT, and MRI.
Purpose of the Study:
- To review the advancements in robotic systems for minimally invasive procedures in interventional oncology.
- To highlight the capabilities and clinical benefits of needle-guiding and needle-driving robots.
- To discuss the future role of these robotic systems in treating challenging tumors.
Main Methods:
- Review of current robotic systems for percutaneous interventions.
- Analysis of needle-guiding and needle-driving robot functionalities.
- Evaluation of clinical benefits including precision, access, and radiation reduction.
Main Results:
- Robotic systems enhance needle placement accuracy and enable complex insertion angles.
- These systems provide stable guidance for challenging approaches and improve access to difficult-to-reach lesions.
- Robotic guidance can optimize needle placement without additional contrast injections, aiding diagnosis and treatment.
Conclusions:
- Robotic systems offer significant potential for improving precision and outcomes in image-guided interventions.
- Despite promising early results, challenges related to complexity and cost require further investigation.
- Robotic assistance is expected to become increasingly vital for treating complex tumors in interventional oncology.
