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J Neurointerv Surg. 2011 Sep;3(3):237-41. doi: 10.1136/jnis.2010.002220. Epub 2011 Feb 2.

Superselective Wada test for ruptured spontaneous fusiform middle cerebral artery aneurysm: a technical case report.

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  • 1Department of Neurosurgery, University of Wisconsin Medical School, Madison, Wisconsin 53792, USA.

Abstract

BACKGROUND:

Spontaneous fusiform aneurysms of the middle cerebral artery (sfaMCA) are quite uncommon and tend to occur in young adults. The use of superselective angiography for ruptured and unruptured aneurysms can help delineate vital angioarchitecture and assist with perioperative planning and treatment modality. The use of superselective Wada testing (SWT) for treatment of a ruptured sfaMCA involving the dominant hemisphere, however, has never been described in the English literature. We report a case of a ruptured sfaMCA involving the dominant hemisphere where superselective angiography and SWT were utilized to predict the ability to occlude a major vessel without adverse neurological sequelae.

CASE DESCRIPTION:

A healthy young patient presented with subarachnoid hemorrhage. Initial CT-angiogram of the head identified a left-sided fusiform MCA aneurysm measuring 1.3 cm by 0.5 cm in maximum dimensions. Diagnostic angiography evaluation demonstrated an irregular, fusiform aneurysm involving the central (Rolandic) trunk of the left MCA. An SWT was then performed through an SL 10 microcatheter with injection of sodium amytal. Verbal, motor and cognitive testing were performed twice and revealed no neurological defects. The patient underwent subsequent coil embolization of the aneurysm. Formal post-procedure evaluation revealed no speech, language or cognitive deficits. She was eventually discharged home and remained without neurological deficits at her follow-up appointment 12 months after her initial presentation.

CONCLUSION:

Intraoperative SWT can be performed as part of the initial evaluation for patients with sfaMCA of the dominant cerebral hemisphere to help choose the appropriate treatment algorithm and predict post-treatment neurological deficits.

PMID:
21990832
[PubMed - indexed for MEDLINE]
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