Validation of CT perfusion-based vascular territory mapping: correlation to visual pial grading and outcome measures.

IF 2.1 Q3 CLINICAL NEUROLOGY
BMJ Neurology Open Pub Date : 2025-02-27 eCollection Date: 2025-01-01 DOI:10.1136/bmjno-2024-000939
Michael Valente, Mark Parsons, Bernard Yan, Chushuang Chen, Milanka Visser, Henry Ma, Andrew Bivard
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引用次数: 0

Abstract

Vascular territory mapping (VTM) software estimates which intracerebral vessel provides peak arterial flow to a brain voxel. This observational study was performed to assess the hypothesis that the VTM algorithm may correlate to visual measurements of leptomeningeal grading and stroke outcome measures in acute middle cerebral artery (MCA) occlusion. VTM software assigned regions of the brain to an estimated feeding intracerebral vessel. Whole brain dynamic CT angiography was used to visually grade the extent of flow in either anterior or posterior cerebral leptomeningeal arteries. The final dataset included 115 patients with MCA occlusion. The median age was 74 years (IQR 62-82). The time from onset of symptoms to scan was a median of 129 min (IQR 85-241) and the median National Institutes of Health Stroke Scale (NIHSS) was 15 (IQR 12-19). Baseline imaging revealed a median ischaemic core of 19 mL (IQR 6-39) and perfusion lesion of 92 mL (IQR 68-122). Ischaemic core and posterior cerebral artery VTM volume were significantly associated with less robust posterior collateral flow on visual grading. VTM variables were not predictive of anterior collateral grade or stroke outcome measures. There did not appear to be a significant relationship between VTM volumes and visualised leptomeningeal collateral flow direction. The clinical utility and diagnostic value of VTM software in predicting collateral flow patterns remain to be elucidated, and further validation studies are warranted to determine the potential applications in acute stroke assessment.

基于CT灌注的血管区域定位的验证:与视觉脑柱头分级和结果测量的相关性。
血管区域映射(VTM)软件估计哪些脑内血管为脑体素提供峰值动脉流量。这项观察性研究是为了评估VTM算法可能与急性大脑中动脉(MCA)闭塞患者脑轻脑膜分级的视觉测量和卒中结局测量相关的假设。VTM软件将大脑的区域分配给一个估计的喂养脑血管。采用全脑动态CT血管造影对脑轻脑膜前后动脉的血流程度进行视觉分级。最终的数据集包括115例MCA闭塞患者。中位年龄为74岁(IQR 62-82)。从出现症状到扫描的中位时间为129分钟(IQR 85-241),美国国立卫生研究院卒中量表(NIHSS)的中位时间为15分钟(IQR 12-19)。基线成像显示中位缺血核心19 mL (IQR 6-39),灌注病灶92 mL (IQR 68-122)。脑缺血核心和脑后动脉VTM体积与视觉分级后侧枝血流较弱显著相关。VTM变量不能预测前侧枝分级或卒中结局指标。VTM的体积和可见的小脑膜侧支血流方向之间似乎没有明显的关系。VTM软件在预测侧支血流模式方面的临床应用和诊断价值仍有待阐明,需要进一步的验证研究来确定在急性卒中评估中的潜在应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMJ Neurology Open
BMJ Neurology Open Medicine-Neurology (clinical)
CiteScore
3.20
自引率
3.70%
发文量
46
审稿时长
13 weeks
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