[Experiences with a new EEG spectral analyzer in carotid surgery]

Area of Science:

• Neuroscience
• Surgical Monitoring
• Cerebrovascular Surgery

Context:

• Carotid endarterectomy is a surgical procedure to remove plaque from carotid arteries.
• Monitoring brain activity during surgery is crucial for preventing complications.
• Compressed spectral array display (CSA) and spectral edge frequency (SEF) are EEG analysis techniques.

Purpose:

• To evaluate the effectiveness of spectral analysis (CSA and SEF) in predicting neurologic outcomes after carotid bifurcation endarterectomy.
• To establish a correlation between electroencephalographic (EEG) events and postoperative neurologic deficits.

Summary:

• Spectral analysis using CSA and SEF was performed on 43 patients undergoing carotid endarterectomy.
• A significant EEG event (decrease in SEF for ≥5 min during carotid cross-clamping) was defined.
• A close correlation was found between significant EEG events and neurologic outcomes, with 100% sensitivity and 76% specificity.

Impact:

• This study demonstrates the high sensitivity of EEG monitoring in detecting potential neurologic injury during carotid surgery.
• The findings suggest that intraoperative EEG analysis can aid in identifying patients at risk for postoperative neurologic deficits.
• This predictive capability can potentially lead to improved patient management and surgical decision-making in cerebrovascular procedures.