Zheng Shuai, Ge Peicong, Shi Zhiyong, Wang Jingzhe, Li Yi, Yu Tengfei, Zhang Jinghan, Zhang Hongxia, Zhang Dong, He Wen
Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Front Neurol. 2021 May 17;12:614749. doi: 10.3389/fneur.2021.614749. eCollection 2021.
To investigate the hemodynamic changes using ultrasound according to digital subtraction angiography (DSA) findings and explore the association between ultrasound parameters and clinical symptoms of moyamoya disease (MMD). Hemodynamic parameters of extracranial internal carotid artery (EICA) and posterior cerebral artery (PCA) were evaluated by ultrasound. According to DSA findings, EICA parameters among Suzuki stages (stage I-II, III-IV, and V-VI), and PCA parameters among leptomeningeal system scores (score 0-2, 3-4, and 5-6) were compared, respectively. ROC analysis was performed based on the ultrasound parameters to distinguish stroke from non-stroke patients. Forty patients with MMD were included in our study (16 men; median age, 37 years). The diameter (D), peak systolic velocity (PSV), end diastolic velocity (EDV) and flow volume (FV) of EICA decreased as the Suzuki stage advanced (D: < 0.001; PSV: < 0.001; EDV: < 0.001; FV: < 0.001). The PSV and EDV of PCA increased as the leptomeningeal system scores advanced (PSV: < 0.001; EDV: < 0.001). ROC analysis showed that the area under the curves (AUCs) based on the D and FV of EICA, the PSV and EDV of PCA and their combination were 0.688, 0.670, 0.727, 0.684, and 0.772, respectively, to distinguish stroke from non-stroke patients. Ultrasound parameters were related to Suzuki stages and leptomeningeal system scores. Ultrasound may be useful in predicting the occurrence of stroke in patients with MMD. Future prospective studies with large sample sizes and long-term follow-up are needed to confirm our preliminary findings.
根据数字减影血管造影(DSA)结果,采用超声研究血流动力学变化,并探讨超声参数与烟雾病(MMD)临床症状之间的关联。通过超声评估颅外颈内动脉(EICA)和大脑后动脉(PCA)的血流动力学参数。根据DSA结果,分别比较铃木分期(I-II期、III-IV期和V-VI期)中的EICA参数以及软脑膜系统评分(0-2分、3-4分和5-6分)中的PCA参数。基于超声参数进行ROC分析,以区分卒中患者和非卒中患者。本研究纳入了40例MMD患者(16例男性;中位年龄37岁)。随着铃木分期的进展,EICA的直径(D)、收缩期峰值流速(PSV)、舒张末期流速(EDV)和血流量(FV)均降低(D:<0.001;PSV:<0.001;EDV:<0.001;FV:<0.001)。随着软脑膜系统评分的进展,PCA的PSV和EDV升高(PSV:<0.001;EDV:<0.001)。ROC分析表明,基于EICA的D和FV、PCA的PSV和EDV及其组合的曲线下面积(AUC)分别为0.688、0.670、0.727、0.684和0.772,用于区分卒中患者和非卒中患者。超声参数与铃木分期和软脑膜系统评分相关。超声可能有助于预测MMD患者卒中的发生。需要未来进行大样本量和长期随访的前瞻性研究来证实我们的初步发现。