CT灌注指标作为急性缺血性脑卒中颅内动脉粥样硬化性狭窄指标的临床分析。

Yunpeng Liu, Jumei Huang, Jianwen Jia, Yingting Zuo, Yang Wang, He Liu
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引用次数: 0

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,导致显著的发病率和死亡率。准确诊断和治疗icas诱导的AIS是改善预后的关键。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:回顾性分析2022年4月至2023年12月在中国某脑卒中中心接受血管内治疗(EVT)的224例AIS患者。收集临床和放射学资料,包括患者人口统计学、CTP参数和90天修正Rankin量表(mRS)评分。Logistic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诱导AIS的灌注参数与其他病因有显著差异。ICAS患者入院时缺血容量较小,失配率较高[Time to Maximum, Tmax>6s:其他原因: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%:其他原因:2.4 [0.0,10.8]mL, ICAS: 0.6 [0.0, 7.0] mL, p =0.0145;失配比为7.4 [2.5,15.0],ICAS为11.0 [4.6,17.8],p =0.0285],说明脑组织可抢救性较高。在ICAS组中,90天mRS显示出更好的功能结果,有更高的可能性出现轻微或无残疾[mRS 90 = 0-1: ICAS: 53.0% vs.其他原因:36.3%,p =0.0122]。结合临床表现和CTP参数建立的ICAS预测模型的曲线下面积(AUC)为0.7779,具有较好的诊断效果。结论:CTP是一种有价值的诊断工具,可用于icas诱导的AIS的早期识别和血管内治疗决策。CTP结果与患者预后呈正相关,支持其在临床实践中的应用。
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CT Perfusion Metrics as Indicators of Intracranial Atherosclerotic Stenosis in Acute Ischemic Stroke: A Clinical Analysis.

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, Tmax>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.

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