由DSA和CTA确定的凝块模式可以帮助预测急性缺血性中风患者的内动脉缩狭窄症
Jichuan Li1,2, Jianhong Yang1, Xiang Gao3
1Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Frontiers in neurology
|August 8, 2024
概括
大动脉封闭中的凝块模式可以预测急性缺血性中风 (AIS) 患者的内动脉缩狭窄症 (ICAS). 在DSA和CTA上可见的逐渐缩小的标志是关键指标,在与临床因素相结合时可以提高诊断准确性.
科学领域:
- 神经学 神经学
- 放射学 放射学是一门学科.
- 血管医学 血管医学
背景情况:
- 急性缺血性中风 (AIS) 带来了重大挑战,其中内动脉缩狭窄症 (ICAS) 是主要原因.
- 准确识别ICAS对于AIS患者的有效治疗策略至关重要.
研究的目的:
- 通过数字减去血管学 (DSA) 和计算机断层扫描血管学 (CTA) 观察到的凝块模式在预测ICAS中的可靠性.
- 评估结血模式与其他患者因素结合的临床实用性,以提高ICAS预测.
主要方法:
- 对131名AIS患者的回顾性分析,这些患者接受了支架恢复器血栓切除术.
- 凝块地形的分类为"切断"或"渐变"标志.
- 评估凝块模式,年龄,入门时间和ICAS预测的TOAST分类.
主要成果:
- "渐变"的凝块标志是ICAS的重要预测指标,DSA和CTA之间有很好的协议 (73.4%).
- 结合逐渐缩小的标志,年龄,入门时间和TOAST分类 (LAA) 的多变量模型实现了0.916的曲线下的高预测面积 (AUC).
- 特定的子组,如65岁以上的患者治疗延迟和逐渐缩小的迹象,显示高AUC为0.897.
结论:
- 凝块图案,特别是DSA和CTA上观察到的逐渐缩小的标志,是识别ICAS在AIS中的一个有价值的指标.
- 将凝块模式分析与临床数据相结合,可显著改善ICAS的预测,有助于患者管理.
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