BackgroundDigital subtraction angiography (DSA), magnetic resonance angiography (MRA) and other imaging methods are limited in the long-term and dynamic examination of hemodynamic changes in moyamoya disease (MMD). The aim of this study was to investigate the hemodynamic changes using ultrasound according to DSA findings and explore the association between ultrasound parameters and clinical manifestations of MMD.MethodsHemodynamic parameters of the extracranial internal carotid artery (EICA) and posterior cerebral artery (PCA) identified by ultrasound were classified into 3 groups according to DSA findings, and differences in ultrasound parameters among DSA stages were compared. Then, according to clinical manifestations, 30 patients were divided into the stroke group and the transient ischemic attack (TIA) group. We compared the differences in the EICA and PCA ultrasound parameters between the two groups, and receiver operating characteristic (ROC) curves were used to evaluate the value of ultrasound parameters in diagnosing stroke and TIA in MMD patients.ResultsThe diameter (D), peak systolic velocity (PSV), end diastolic velocity (EDV) and flow volume (FV) of EICA decreased as the Suzuki stage advanced (D: p༜0 .001, PSV: p = 0.002, EDV: p = 0.001, FV: p༜0.001). The PSV and EDV of PCA increased as the scores of the leptomeningeal system from the PCA to the anterior cerebral artery (ACA) and middle cerebral artery (MCA) territory advanced (PSV: p = 0.002, EDV: p༜0.001). Comparing the ultrasound parameters between the stroke group and the TIA group, the D and FV of EICA, the PSV and EDV of PCA were significantly different. ROC analysis showed that the area under the curve (AUC) based on the FV of EICA, the PSV of PCA and the combination of the two parameters were 0.676, 0.737 and 0.787, respectively, to diagnose stroke and TIA in MMD patients.ConclusionsOur results suggest that ultrasound parameters are related to DSA results, and that ultrasound is useful in predicting the clinical severity of MMD.Trial registration:Clinical Trial Registration-URL: http://www.chictr.org. Unique identifier: ChiCTR1900026075