• Jianping Song, Liqin Lang, Wei Zhu, Yuxiang Gu, Bin Xu, Jiajun Cai, Qi Yue, Geng Xu, Liang Chen, and Ying Mao.
• Department of Neurosurgery, Huashan Hospital, Fudan University, No. 12 Wulumuqi Zhong Road, Shanghai, 200040, China.
• Acta Neurochir (Wien). 2015 Nov 1; 157 (11): 1833-40.

BackgroundClipping and bypass surgery are common therapeutic options for the management of giant internal carotid artery (ICA) aneurysms. However, potential ischemic risks may be exaggerated by prolonged temporary occlusion (PTO) during the surgery. Monitoring motor-evoked potentials (MEPs) is a sensitive technique for detecting potential ischemia intraoperatively. This preliminary study was designed to evaluate the effectiveness of applying MEP monitoring during giant ICA aneurysm surgery using PTO.MethodsFrom July 2009 to July 2012, 11 patients with giant ICA aneurysms who could not pass the preoperative hemodynamic evaluations were enrolled in this study. MEP monitoring was utilized intraoperatively in all cases. Clipping was performed if there were no significant MEP changes under PTO. A variant extracranial-to-intracranial (EC-IC) bypass was performed if there was reproducible loss of MEP signals after PTO or unclippable anatomic features.ResultsFive patients underwent clipping alone and six underwent bypass. There were no significant differences in baseline clinical data between the two groups. The overall percentage of patients with good outcomes (Glasgow Outcome Score ≥4) improved from 72.7 % (8/11) postoperatively to 90.9 % (10/11) after 26.0 ± 9.5 months of follow-up. There were no significant differences between the clipping and bypass groups regarding short- and long-term outcomes (p = 0.545 and p = 1.000).ConclusionsMEP monitoring is useful for evaluating the safety of PTO, surgical strategy, and outcomes of giant ICA aneurysm surgery. Direct clipping during safe PTO under intraoperative MEP monitoring is applicable for giant ICA aneurysms. Its use achieved favorable outcomes by indicating the need for bypass surgery.

21 keywords...

hide…