Using Deep Learning to Predict Cerebral Hyperperfusion Syndrome After Carotid Artery Revascularization in Adults Aged 30 to 80

What this Trial Is About

Cerebral hyperperfusion syndrome CHS is a complication that can occur after carotid artery procedures like carotid endarterectomy or stenting. It involves symptoms such as severe headache, facial pain, vomiting, confusion, seizures, and even brain bleeding. CHS is more likely in patients whose cerebral blood flow increases significantly after revascularization. The exact cause is not fully understood, but it relates to impaired blood vessel regulation due to long-term reduced blood flow before treatment. This observational study evaluates patients undergoing carotid revascularization to predict the occurrence of CHS. Participants are divided into groups based on their cerebrovascular reserve status reduced or sufficient. The study monitors patients after the procedure to identify signs of CHS within 30 days. Participants will be followed closely with clinical evaluations to detect CHS signs and symptoms. Researchers will measure how many develop CHS within the first month after surgery. The study includes various assessments to understand blood flow changes and complications. The total study period spans from the procedure through postoperative monitoring and follow-up to ensure safety and data collection.

Prediction of Cerebral Hyperperfusion Syndrome After Carotid Revascularization Using Deep Learning