We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App




Events

27 Jan 2025 - 30 Jan 2025
15 Feb 2025 - 17 Feb 2025

Surgical Robot Outperforms Human Surgeons in Precise Removal of Cancerous Tumors

By HospiMedica International staff writers
Posted on 20 Mar 2024
Print article
Image: The Autonomous System for Tumor Resection (ASTR) precisely removes cancerous tumors (Photo courtesy of IMERSE Lab; Johns Hopkins)
Image: The Autonomous System for Tumor Resection (ASTR) precisely removes cancerous tumors (Photo courtesy of IMERSE Lab; Johns Hopkins)

Surgically removing tumors from sensitive areas, such as the head and neck, poses significant challenges. The goal during surgery is to take out the cancerous tissue while saving as much healthy tissue as possible. This balance is crucial because leaving behind too much cancerous tissue can lead to the cancer's return or spread. Doing a resection that has precise margins—specifically, a 5mm margin of healthy tissue—is essential but difficult. This margin, roughly the size of a pencil eraser, ensures that all cancerous cells are removed while minimizing damage. Tumors often have clear horizontal edges but unclear vertical boundaries, making depth assessment challenging despite careful pre-surgical planning. Surgeons can mark the horizontal borders but have limited ability to determine the appropriate depth for removal due to the inability to see beyond the surface. Additionally, surgeons face obstacles like fatigue and visual limitations, which can affect their performance. Now, a new robotic system has been designed to perform tumor removal from the tongue with precision levels that could match or surpass those of human surgeons.

The Autonomous System for Tumor Resection (ASTR) designed by researchers at Johns Hopkins (Baltimore, MD, USA) translates human guidance into robotic precision. This system builds upon the technology from their Smart Tissue Autonomous Robot (STAR), which previously conducted the first fully autonomous laparoscopic surgery to connect the two intestinal ends. ASTR, an advanced dual-arm, vision-guided robotic system, is specifically designed for tissue removal in contrast to STAR's focus on tissue connection. In tests using pig tongue tissue, the team demonstrated ASTR's ability to accurately remove a tumor and the required 5mm of surrounding healthy tissue. After focusing on tongue tumors due to their accessibility and relevance to experimental surgery, the team now plans to extend ASTR's application to internal organs like the kidney, which are more challenging to access. Combining ASTR's surgical precision with advanced imaging techniques could significantly advance tumor removal procedures.

“We’ve sent the robot to make an incision before, but this is the first time we’ve done a bulk resection and taken a tumor out fully,” said team leader Axel Krieger, assistant professor of mechanical engineering at the Whiting School of Engineering. “That’s the big novelty here.”

Related Links:
Johns Hopkins

New
Gold Member
X-Ray QA Meter
T3 AD Pro
Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
New
Medical-Grade POC Terminal
POC-821
New
Diagnosis Display System
C1216W

Print article

Channels

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.