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Minimally Invasive Robot Places Flexible, Steerable Catheter in Live Brain

By HospiMedica International staff writers
Posted on 24 Oct 2022
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Image: Left: Surgeon’s console with visual interface. Right: Steerable catheter driver mounted onto neurosurgical robot (Photo courtesy of Imperial College London)
Image: Left: Surgeon’s console with visual interface. Right: Steerable catheter driver mounted onto neurosurgical robot (Photo courtesy of Imperial College London)

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.”

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