PLYMOUTH, Minn., May 3, 2021 /PRNewswire/ -- Surgical Information Sciences (SIS), a medical device company focused on improved targeting for deep brain stimulation (DBS) surgery, announced the first use of the SIS System which recently received 510(k) clearance from the U.S. Food and Drug Administration (FDA). The SIS System uses deep learning models to identify brain structures such as the subthalamic nuclei (STN) and globus pallidus internus/externus (GPi/GPe) commonly targeted for DBS procedures. The SIS System provides visualization of these structures for surgical planning and for location of the implanted DBS leads and lead contacts post-surgery.
The STN and GPi/GPe are key targets for patients with Parkinson's disease. The advancement of DBS has provided a potentially profound solution to patients with Parkinson's disease; however, it is still significantly underutilized due to a lack of consistent results and challenges with the procedure. Â Despite advances in imaging, the STN and GPi/GPe anatomy are too small to be accurately visualized with today's imaging capabilities. The SIS System generates patient specific images to visualize the STN and GPi/GPe which have approximately 70% better accuracy than the atlas-based systems used today.Â