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Joystick-Controlled Neurosurgical Robot Could Revolutionize Complex Brain Surgeries
Robots are a familiar sight in operating rooms nowadays, aiding surgeons in performing minimally invasive procedures. However, their use in neurosurgery has been more restricted. While robots are proficient at simpler tasks like placing an electrode, complex operations like tumor removal have typically required surgeons to expose the brain through the skull. Now, scientists have designed a prototype two-armed, joystick-controlled neurosurgical robot that has the potential to transform complex brain surgeries, such as excising tumors.
The robot developed by engineers at Children's Hospital Boston (Boston, MA, USA) skillfully executed a range of two-handed neurosurgical tasks required for tumor removal and reducing tumor size in lab-created models. The crowning achievement was the endoscopic extraction of a pineal tumor from the core of a 3D model brain, based on imaging data from an infant patient. During the tests, neurosurgeons found that the dual-armed robot allowed them to complete delicate operations faster than using traditional manual instruments, all while avoiding the compression of adjacent brain tissue.
The robot's impressive performance indicates that it could be used for excising larger, vascularized tumors that currently necessitate traditional open surgery methods. Looking beyond tumor and cyst removal, the engineers also see the robot's potential in treating conditions like hydrocephalus and in performing transurethral endoscopic procedures for conditions like bladder tumors and benign prostatic enlargement. The engineers are optimistic that a well-established medical device company will eventually take this dual-armed robot to human trials.
"The brain is the last part of the body where tool access and articulation are poor," said Pierre Dupont, Ph.D., chief of Pediatric Cardiac Bioengineering at Boston Children's, who developed the robot. "Neurosurgeons who have seen the robot all say, 'This is what we need.' We want to devise a business model that will work for hospitals, and then go back and refine the robot to fit the model."
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