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Diagnostic analysis of 80 patients with spontaneous internal carotid artery and vertebral artery dissections / 中华神经科杂志
Chinese Journal of Neurology ; (12): 722-726, 2014.
Article in Chinese | WPRIM | ID: wpr-469042
ABSTRACT
Objective To investigate the most sensitive methods for diagnosing spontaneous internal carotid artery dissection (sICAD) and spontaneous vertebral artery dissection (sVAD) respectively,for the sake of earlier and more accurate diagnosis.Methods Consecutive patients with sICAD and sVAD who visited the Department of Neurology and Radiology,Huashan Hospital Affiliated to Fudan University during 2008-2013 were retrospectively reviewed and the sensitivity of CT angiography (CTA),magnetic resonance T1-weighted fat-suppressed images (MR T1-FS) and digital subtraction angiography (DSA) for the diagnosis of sICAD and sVAD was compared.Results Eighty patients (62 male,18 female; mean age (45.7 ± 11.9) years) were included in the study.There were 99 arterial dissections in total,45 cases of sICAD,52 cases of sVAD and 2 cases of spontaneous middle cerebral artery dissections.The sensitivity of CTA,DSA and MR T1-FS for diagnosing sICAD was 97.5% (39/40),90.0% (36/40) and 69.6% (16/23) respectively,while for sVAD was 89.8% (44/49),84.6% (44/52) and 100.0% (27/27) respectively.Conclusions sICAD and sVAD have significant differences in many aspects including diagnostic strategies.CTA and MR T1-FS seem to be the most sensitive methods for the diagnosis of sICAD and sVAD respectively.Although DSA has been considered as the gold standard for the diagnosis of artery dissection,this imaging technique does not allow analysis of artery wall thickness,thus also has limitations.It is likely that the diagnostic sensitivity will be improved by combining CTA and MR T1-FS.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Neurology Year: 2014 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Neurology Year: 2014 Type: Article