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CT灌注指标作为急性缺血性卒中颅内动脉粥样硬化狭窄的指标:一项临床分析

CT Perfusion Metrics as Indicators of Intracranial Atherosclerotic Stenosis in Acute Ischemic Stroke: A Clinical Analysis.

作者信息

Liu Yunpeng, Huang Jumei, Jia Jianwen, Zuo Yingting, Wang Yang, Liu He

机构信息

Department of Neurosurgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.

Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.

出版信息

Curr Neurovasc Res. 2025;21(5):554-563. doi: 10.2174/0115672026370562241223100210.

Abstract

BACKGROUND

Intracranial Atherosclerotic Stenosis (ICAS) is a prevalent etiology of acute ischemic stroke (AIS), leading to significant morbidity and mortality. The accurate diagnosis and treatment of ICAS-induced AIS are critical to improving outcomes. This study assesses the application of Computed Tomography Perfusion (CTP) in predicting ICAS in AIS patients and its potential impact on patient management.

METHODS

A retrospective analysis was conducted on 224 AIS patients who underwent endovascular therapy (EVT) at one single Chinese Stroke Center between April 2022 and December 2023. Clinical and radiological data were collected, including patients' demographics, CTP parameters, and 90-day modified Rankin Scale (mRS) scores. Logistic regression and receiver operating characteristic (ROC) curves evaluated the predictive power of CTP parameters for ICAS.

RESULTS

CTP analysis revealed significant differences in perfusion parameters between ICASinduced AIS and other etiologies. ICAS patients had a smaller ischemic volume on admission and higher mismatch ratios [Time to Maximum, T>6s: Other Causes: 132.4 [70.5, 183.3] mL, ICAS: 96.3 [79.8, 107.3] mL, p =0.0064; relative cerebral blood flow, rCBF<30%: Other Causes: 2.4 [0.0, 10.8] mL, ICAS: 0.6 [0.0, 7.0] mL, p =0.0145; mismatch ratio: 7.4 [2.5, 15.0], ICAS: 11.0 [4.6, 17.8], p =0.0285], indicating more salvageable brain tissue. The 90-day mRS showed better functional outcomes in the ICAS group, with a higher likelihood of minimal to no disability [mRS 90 equals 0-1: ICAS: 53.0% vs. Other Causes: 36.3%, p =0.0122]. The predictive model for ICAS, combining clinical manifestations and CTP parameters, yielded an area under the curve (AUC) of 0.7779, demonstrating good diagnostic performance.

CONCLUSION

CTP is a valuable diagnostic tool for ICAS-induced AIS, offering the potential for early identification and informing the decision for endovascular treatment. The positive correlation between CTP findings and patient outcomes supports its utility in clinical practice.

摘要

背景

颅内动脉粥样硬化性狭窄(ICAS)是急性缺血性卒中(AIS)的常见病因,可导致严重的发病率和死亡率。准确诊断和治疗ICAS所致的AIS对于改善预后至关重要。本研究评估计算机断层扫描灌注(CTP)在预测AIS患者ICAS中的应用及其对患者管理的潜在影响。

方法

对2022年4月至2023年12月期间在一家中国卒中中心接受血管内治疗(EVT)的224例AIS患者进行回顾性分析。收集临床和影像学数据,包括患者的人口统计学信息、CTP参数和90天改良Rankin量表(mRS)评分。采用逻辑回归和受试者工作特征(ROC)曲线评估CTP参数对ICAS的预测能力。

结果

CTP分析显示,ICAS所致AIS与其他病因之间的灌注参数存在显著差异。ICAS患者入院时缺血体积较小,错配率较高[达峰时间,T>6秒:其他病因:132.4[70.5,183.3]mL,ICAS:96.3[79.8,107.3]mL,p =0.0064;相对脑血流量,rCBF<30%:其他病因:2.4[0.0,10.8]mL,ICAS:0.6[0.0,7.0]mL,p =0.0145;错配率:7.4[2.5,15.0],ICAS:11.0[4.6,17.8],p =0.0285],表明有更多可挽救的脑组织。90天mRS显示ICAS组功能预后更好,轻度至无残疾的可能性更高[mRS 90等于0 - 1:ICAS:53.0% vs.其他病因:36.3%,p =0.0122]。结合临床表现和CTP参数的ICAS预测模型的曲线下面积(AUC)为0.7779,显示出良好的诊断性能。

结论

CTP是诊断ICAS所致AIS的有价值工具,具有早期识别的潜力,并可为血管内治疗决策提供依据。CTP结果与患者预后之间的正相关支持了其在临床实践中的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acd8/12246737/f82d867c0aa4/CNR-21-5-554_F1.jpg

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