摘要
Objective:To investigate the correlation between severe stenosis or occlusion of vertebral artery(VA)and posterior circulation ischemia(PCI).Methods:A retrospective study of 408 patients with severe stenosis or occlusion of the V1-V4 segment with unilateral VA was confirmed by cervical vascular ultrasound(CDU),CT angiography(CTA),and/or DSA.According to the severe stenosis or occlusion lesions,the patients were divided into V1 segment lesion group(267 cases),V2 segment disease group(40 cases),and V3-V4 segment disease group(101 cases).Depending on whether there were symptoms of posterior circulation ischemia,408 patients were divided into symptom group(195 cases)and asymptomatic group(213 cases).CDU test recorded and analyzed hemodynamic parameters:systolic peak flow rate(PSV),end diastolic flow rate(EDV),resistance index(RI),VA tube diameter(VAD).Meantime,we had assessmented the correlation between severe stenosis or occlusion of VA and PCI.Results:1.Compariing the lesion sites in affected and healthy sides of VA,there were significant differences in PSV,EDV and VAD(p=0.000).There was no significant difference in intervertebral RI when V2 was severe stenosis(p=0.762).2.When the severely stenosis or occlusion happend in V1 or V3-V4 segment,the blood flow spectrum of the affected side was significantly different from the healthy side.3.The stenosis sexual lesion of V1 and V2 had no significant correlation with PCI symptoms(dependency coefficient was 1.06,p=0.053;0.123,p=0.323);and V3-V4 stenosis sexual lesions were moderately associated with PCI symptoms(dependency coefficient=0.217,p=0.027).Conclusions:Severe stenosis or occlusion of V3-V4 segment is likely to appear PCI.CDU can effectively diagnose lesion of VA's evere stenosis or occlusion,which provides a reliable basis of timely clinical treatment and evaluation.
基金
Jiangsu Province Cadre Health Research Project(No.BJ17010)
Suzhou Science and Technology Development Project(No.SS201714,No.SS201859)
135 major projects of the Ministry of Science and Technology:Digital Diagnosis and Treatment Demonstration Application and Clinical Solution for Stroke(No.2017YFC0114302).
