This study will evaluate the application of a metaverse-based surgical simulation platform in extracranial-intracranial (EC-IC) bypass surgery. The study population will include patients with moyamoya disease or chronic cerebral ischemia who are scheduled to undergo EC-IC bypass surgery. Before surgery, preoperative brain computed tomography images will be imported into the metaverse surgical simulation platform. During surgery, extended reality technology will be used to provide precise localization of the relevant vessels, including both the donor and recipient arteries. The primary objective is to assess the localization accuracy of this platform. The study will also investigate whether this technology can facilitate a minimally invasive surgical approach and improve surgical safety.
Age range
18 Years – 85 Years
Sex
ALL
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Accuracy of XR-Assisted Superficial Temporal Artery Localization
Timeframe: During preoperative surgical planning and intraoperative confirmation on the day of surgery.
Accuracy of XR-Assisted Middle Cerebral Artery Recipient-Vessel Prediction
Timeframe: From preoperative surgical planning to intraoperative selection of the recipient vessel on the day of surgery.