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Analysis of blood flow velocity variability in middle cerebral artery stenosis using transcranial color-coded sonography

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机构： [1]Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, PR China [2]Beijing Diagnostic Center of Vascular Ultrasound, Beijing, PR China [3]Center of Vascular Ultrasonography, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, PR China [4]Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, PR China [5]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, PR China

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关键词： transcranial Doppler Transcranial color coded sonography Middle cerebral artery stenosis Correction angle Morphology

摘要：

High variability of intracranial arterial blood flow velocities by Transcranial color-coded sonography (TCCS) has been found in clinical practice. This study aimed to improve diagnostic accuracy by analyzing influencing factors of middle cerebral artery (MCA) blood flow velocity detected by TCCS.In total, 328 MCA vessels were classified as normal (27.1 %) or having mild (30.2 %), moderate (23.2 %), and severe (19.5 %) stenosis based on computed tomography angiography (CTA). Based on morphology, MCAs were classified as type I (98) or type II (230). Differences in peak systolic velocity (PSV) detected by TCCS and TCD were analyzed at different degrees of MCA stenosis (MCAS), correction angles, and morphology.The mean rank of MCAS of TCCS was higher than that of TCD and CTA (P < 0.05), with no significant difference between TCD and CTA. The PSV measured by TCCS was significantly higher than that of TCD, but when the correction angle of TCCS was ≤30°, the two PSVs were comparable (P > 0.05). TCCS and TCD measured significantly different PSVs when the TCCS correction angles were >30° in type I and at all correction angles in type II (P < 0.05). The optimal cut-off values for MCAS diagnosis using TCCS increased with increasing correction angles.The differences in PSVs measured using TCCS and TCD were related to the correction angles and morphology of the MCA. Using optimal cut-off values based on the correction angles allows for more accurate MCAS diagnosis.Copyright © 2025 The Authors. Published by Elsevier Ltd.. All rights reserved.

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最新[2023]版：

大类 | 4 区医学

小类 | 4 区临床神经病学 4 区神经科学

JCR分区：

出版当年[2023]版：

Q3 CLINICAL NEUROLOGY Q4 NEUROSCIENCES

最新[2023]版：

Q3 CLINICAL NEUROLOGY Q4 NEUROSCIENCES

影响因子： 1.9 最新[2023版] 1.9 最新五年平均 1.9 出版当年[2023版] 1.9 出版当年五年平均 2 出版前一年[2022版]

第一作者：

第一作者机构： [1]Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, PR China [2]Beijing Diagnostic Center of Vascular Ultrasound, Beijing, PR China [3]Center of Vascular Ultrasonography, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, PR China

通讯作者：

通讯机构： [1]Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, PR China [2]Beijing Diagnostic Center of Vascular Ultrasound, Beijing, PR China [3]Center of Vascular Ultrasonography, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, PR China

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Analysis of blood flow velocity variability in middle cerebral artery stenosis using transcranial color-coded sonography

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