Li Zhenzhen, Liu Xinwei, Sun Huiling, Jiang Xiaozong, Zhang Yiting, Ji Lifan, Zhang Luyao, Wang Meng, Gu Mengmeng, Li Shuo, Zhang Yuqiao, Liu Yukai, Shi Hongchao, Jiang Teng, Mei Yanping, Zhu Lin, Zhou Junshan, Deng Qiwen
Department of Neurology, Nanjing First Hospital, Nanjing Medical University, China.
General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Clin Neurol Neurosurg. 2025 Jul;254:108897. doi: 10.1016/j.clineuro.2025.108897. Epub 2025 Apr 18.
Symptomatic intracranial artery stenosis (sICAS) is strongly associated with an elevated risk of recurrent ischemic stroke, yet the underlying risk factors remain elusive. In this present study, we aimed to investigate the risk factors and predictive value of imaging features for recurrent ischemic stroke in patients with watershed infarction caused by ICAS.
We prospectively collected clinical information and imaging data from patients with watershed infarction caused by ICAS. The primary outcome was recurrent ischemic cerebrovascular events in the same territory within 1 year. The original magnetic resonance images (MRI) were post-processed by the Fast-processing of ischemic stroke (F-Stroke) software to compute the perfusion parameters. The assessment of white matter hyperintensity (WMH) was performed in accordance with the Fazekas scale. Binary logistic regression analysis was performed to explore the association of imaging characteristics and recurrent ischemic stroke. Subsequently, we performed ROC curve analyses to determine their discriminatory capacity for ischemic stroke recurrence.
A total of 139 patients were successfully enrolled in the present study. The recurrence rate in the total population was 18.71 %. Compared with patients without recurrent ischemic stroke, those who experienced recurrence had a higher proportion of prior ischemic stroke history (25.66 % vs. 53.85 %) and severe WMH (30.77 % vs. 7.97 %), as well as higher baseline NIHSS scores and volume of Tmax > 4 s. Logistic regression analysis revealed that both the volume of Tmax > 4 s and severe WMH significantly influenced the risk of recurrent ischemic stroke occurrence. Furthermore, ROC curve analyses demonstrated that the discriminatory capacity of the volume of Tmax > 4 s (AUC = 0.64, 95 %CI = 0.51-0.77, P = 0.029) was marginally superior to WMH scores (AUC = 0.62, 95 %CI = 0.49-0.75, P = 0.066). Whereas, the combination of the volume of Tmax > 4 s and the WMH scores showed better discriminatory capacity (AUC = 0.73, 95 %CI = 0.61-0.85, P < 0.001).
MR-guiding cerebral hypoperfusion and severe WMH is susceptible to recurrence of ischemic stroke, thereby serving as valuable predictors for recurrence in patients with watershed infarction caused by ICAS.
症状性颅内动脉狭窄(sICAS)与复发性缺血性卒中风险升高密切相关,但其潜在危险因素仍不明确。在本研究中,我们旨在探讨ICAS所致分水岭梗死患者复发性缺血性卒中的危险因素及影像特征的预测价值。
我们前瞻性收集了ICAS所致分水岭梗死患者的临床信息和影像数据。主要结局为1年内同一区域复发性缺血性脑血管事件。原始磁共振成像(MRI)由缺血性卒中快速处理(F-Stroke)软件进行后处理以计算灌注参数。白质高信号(WMH)根据Fazekas量表进行评估。进行二元逻辑回归分析以探讨影像特征与复发性缺血性卒中的关联。随后,我们进行ROC曲线分析以确定它们对缺血性卒中复发的鉴别能力。
本研究共成功纳入139例患者。总人群复发率为18.71%。与无复发性缺血性卒中的患者相比,复发患者既往缺血性卒中病史比例更高(25.66%对53.85%)、重度WMH比例更高(30.77%对7.97%),以及基线NIHSS评分和Tmax>4秒的体积更高。逻辑回归分析显示,Tmax>4秒的体积和重度WMH均显著影响复发性缺血性卒中的发生风险。此外,ROC曲线分析表明,Tmax>4秒的体积的鉴别能力(AUC = 0.64,95%CI = 0.51 - 0.77,P = 0.029)略优于WMH评分(AUC = 于0.62,95%CI = 0.49 - 0.75,P = 0.066)。然而,Tmax>4秒的体积与WMH评分的组合显示出更好的鉴别能力(AUC = 0.73,95%CI = 0.61 - 0.85,P < 0.001)。
磁共振引导下的脑灌注不足和重度WMH易发生缺血性卒中复发,从而可作为ICAS所致分水岭梗死患者复发的有价值预测指标。