当前位置: 首页 > 详情页

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

文献详情

资源类型:
Pubmed体系:
机构: [1]Department of Neurosurgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China. [2]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China. [3]Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China.
出处:
ISSN:

关键词: Intracranial atherosclerotic stenosis acute ischemic stroke computed tomography perfusion mechanical thrombectomy endovascular therapy predictive model

摘要:
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.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.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.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.Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

基金:
语种:
PubmedID:
中科院(CAS)分区:
出版当年[2023]版:
大类 | 4 区 医学
小类 | 4 区 临床神经病学 4 区 神经科学
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
第一作者:
第一作者机构: [1]Department of Neurosurgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
共同第一作者:
通讯作者:
通讯机构: [1]Department of Neurosurgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China. [3]Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China.
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:16936 今日访问量:1 总访问量:903 更新日期:2025-03-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 首都医科大学宣武医院 技术支持:重庆聚合科技有限公司 地址:北京市西城区长椿街45号宣武医院