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Emergency multimodal computed tomography for the diagnosis of stroke mimic--epileptic seizure
Neurology Asia ; : 269-277, 2020.
Article in English | WPRIM | ID: wpr-877226
ABSTRACT
@#Background and

Objectives:

Stroke mimics are medical conditions producing stroke-like symptoms but eventually get diagnosed as non-stroke diseases. Epileptic seizure is a common type of stroke mimic. The purpose of this study is to investigate the application of emergency multimodal computed tomography (CT) in the diagnosis of epileptic seizure.

Methods:

We retrospectively reviewed the case group of patients with suspected stroke in the emergency stroke care service of the First Affiliated Hospital of Suzhou University from September 2017 to October 2019. We included those who underwent multimodal CT, including non-contrasted cranial CT, CT perfusion with CT angiography, and were ultimately diagnosed as epileptic seizures. Ten patients with acute anterior circulation ischemic stroke were assigned as controls.

Results:

A total of five cases met the inclusion criteria. Multimodal CT was completed within 2.25 to 3.50h from symptom onset. On CT perfusion, hyperperfusion was shown in four cases and slightly increased perfusion in one case with epileptic seizures. Cerebral blood flow and cerebral blood volume were significantly increased, while time to peak and mean transit time decreased in the regions of interest of the epileptic hemisphere when compared to either the non-affected hemisphere or the ischemic area in the control group (P<0.05). The abnormal perfusion areas did not follow vascular territory supply and CT angiography did not show vessel occlusion in the case group.

Conclusion:

Emergency multimodal CT could be used effectively to differentiate epileptic seizure from stroke.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: English Journal: Neurology Asia Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: English Journal: Neurology Asia Year: 2020 Type: Article