Minimally Invasive Robot Places Flexible, Steerable Catheter in Live Brain
|
By HospiMedica International staff writers Posted on 24 Oct 2022 |

While performing minimally invasive surgery on the brain, surgeons use deeply penetrating catheters to diagnose and treat disease. However, currently used catheters are rigid and difficult to place precisely without the aid of robotic navigational tools. The inflexibility of the catheters combined with the intricate, delicate structure of the brain means catheters can be difficult to place precisely, which brings risks to this type of surgery. Now, scientists have successfully placed a bioinspired steerable catheter into the brain of an animal for the first time. The early-stage research tested the delivery and safety of the new implantable catheter design in two sheep to determine its potential for use in diagnosing and treating diseases in the brain. If proven effective and safe for use in people, the platform could simplify and reduce the risks associated with diagnosing and treating disease in the deep, delicate recesses of the brain. It could help surgeons to see deeper into the brain to diagnose disease, deliver treatment like drugs and laser ablation more precisely to tumors, and better deploy electrodes for deep brain stimulation in conditions such as Parkinson’s and epilepsy.
The platform developed by scientists at Imperial College London (London, UK) improves on existing minimally invasive, or 'keyhole', surgery, where surgeons deploy tiny cameras and catheters through small incisions in the body. It includes a soft, flexible catheter to avoid damaging brain tissue while delivering treatment, and an artificial intelligence (AI)-enabled robotic arm to help surgeons navigate the catheter through brain tissue. Inspired by the organs used by parasitic wasps to stealthily lay eggs in tree, bark, the catheter consists of four interlocking segments that slide over one another to allow for flexible navigation.
It connects to a robotic platform that combines human input and machine learning to carefully steer the catheter to the disease site. Surgeons then deliver optical fibers via the catheter so they can see and navigate the tip along brain tissue via joystick control. The AI platform learns from the surgeon’s input and contact forces within brain tissues to guide the catheter with pinpoint accuracy. Compared to traditional ‘open’ surgical techniques, the new approach could eventually help to reduce tissue damage during surgery, and improve patient recovery times and length of post-operative hospital stays.
To test their platform, the researchers deployed the catheter in the brains of two live sheep which were given pain relief and monitored for 24 hours a day over a week for signs of pain or distress before being euthanized so that researchers could examine the structural impact of the catheter on brain tissue. They found no signs of suffering, tissue damage, or infection following catheter implantation.
“Our new precise, minimally invasive platform improves on currently available technology and could enhance our ability to safely and effectively diagnose and treat diseases in people, if proven to be safe and effective,” said senior author Professor Ferdinando Rodriguez y Baena, of Imperial’s Department of Mechanical Engineering.
“Our findings could have major implications for minimally invasive, robotically delivered brain surgery,” added lead author Dr. Riccardo Secoli, also from Imperial’s Department of Mechanical Engineering. “We hope it will help to improve the safety and effectiveness of current neurosurgical procedures where precise deployment of treatment and diagnostic systems is required, for instance in the context of localized gene therapy.”
Related Links:
Imperial College London
Latest Surgical Techniques News
- Novel Microparticles Break Down Biofilms and Boost Antibiotic Activity
- New Bone Graft Material Targets Residual Cancer and Resists Infection
- New Catheter Delivers RF and Pulsed Field Ablation Through One Device
- Nerve Block Technique Reduces Opioid Use After Cardiac Surgery
- New Access Platform Aims to Expand Minimally Invasive Spine Surgery
- Dual-Mobility Hip Implant Cuts Postoperative Dislocations
- Low-Frequency Ultrasound Selectively Targets Oral Cancer Cells
- Aortic Arch Remodeling Device Improves Type I Dissection Repair
- Intravesical CAR T Therapy Shows Promise for Bladder Cancer Treatment
- AI Tool Predicts Surgical Scheduling Gaps to Improve OR Utilization
- Living Valve Surgery Delivers Durable Outcomes for Aortic Valve Disease
- Innovative Central Line System Reduces Steps and Procedure Time
- Minimally Invasive Embolization Procedure Reduces Knee Osteoarthritis Pain
- Rapid AI OCT System Detects Malignant Liver Tissue Intraoperatively
- Automated EMR-Based Tool Detects Immune-Related Colitis in Immunotherapy Patients
- Personalized Cartilage Graft Offers New Option for Infants with Severe Airway Narrowing
Channels
Artificial Intelligence
view channel
AI Tool Predicts Chronic Kidney Disease Risk in Diabetes
Chronic kidney disease is a common and serious complication of type 2 diabetes and often progresses without obvious early symptoms, increasing morbidity and straining health systems. Many risk models were... Read more
AI Trends Report Guides Responsible, Effective Healthcare Deployment
Hospitals are under growing pressure to adopt artificial intelligence tools that improve safety, efficiency, and continuity of care without compromising quality. At the same time, clinicians need clearer... Read moreCritical Care
view channel
AI-Guided Outreach System Improves Colorectal Cancer Screening
Colorectal cancer is the second-leading cause of cancer deaths in the United States. Early detection improves survival, yet many eligible adults remain overdue for recommended screening.... Read more
Multi-Night Home Monitoring Reduces Sleep Apnea Misdiagnosis
Obstructive sleep apnea is a common disorder in which breathing repeatedly stops and starts during sleep. Diagnosis often relies on a single-night polysomnography study, yet patients’ sleep can vary widely... Read more
FDA Breakthrough Device Targets Brain Hemorrhage Complications
Subarachnoid hemorrhage, bleeding into the space around the brain most often caused by a ruptured aneurysm, frequently leads to cerebral vasospasm during intensive care. This secondary narrowing of blood... Read more
ECG-Based Screening Framework Aims to Standardize Cardiac Evaluation in Military Personnel
Sudden cardiac death, the unexpected loss of heart function, can occur during intense exertion and remains a concern in physically demanding occupations. Military personnel face additional environmental... Read morePatient Care
view channel
AI Avatar Doctor Improves Patient Understanding Before Radiotherapy
Radiation oncology consultations require patients to grasp complex concepts quickly, yet anxiety and information overload often undermine understanding and informed consent. Poor comprehension can also... Read more
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read moreHealth IT
view channel
Digital Heart Model Supports Targeted Ablation in Atrial Fibrillation
Atrial fibrillation is an erratic, quivering heartbeat and a leading cause of stroke. Catheter ablation is widely used to interrupt arrhythmogenic tissue, yet many patients—especially with persistent ... Read moreAI Framework Helps Clinicians Create Trustworthy Risk Prediction Tools
Artificial intelligence (AI) is increasingly used to estimate risks for conditions such as sepsis, heart disease, and cancer, yet many models remain difficult for clinicians to interpret or trust.... Read morePoint of Care
view channel
New Brain Ultrasound Platform Enables Bedside Postoperative Imaging
Transporting postoperative patients for CT or MRI can create operational burdens, delays, and disruptions in care. Bedside visualization may help reduce transport demands, lower radiation exposure, and... Read more







