术后FLAIR血管高信号征分布位置预测急性缺血性脑卒中患者血管内取栓术后功能结局的价值
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南京医科大学第一附属医院放射科

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上海科技大学先进医用材料与医疗器械全国重点实验室开放课题(YGSKL⁃SHTech⁃2024⁃KF01)


Value of distribution of postoperative FLAIR vascular hyperintensity sign in predicting functional outcomes after endovascular thrombectomy in patients with acute ischemic stroke
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Department of Radiology,the First Affiliated Hospital of Nanjing Medical University

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    目的:研究急性缺血性脑卒中(AIS)患者术后FLAIR血管高信号征(FVH)与梗死区域位置分布关系,在预测AIS患者血管内取栓术(EVT)后神经功能结局中的价值。方法:回顾性分析2017年7月-2025年4月180例在本中心接受EVT的AIS患者的临床及影像资料。根据弥散加权成像(DWI)病灶及FVH关系,将所有病例分为四组:A组(FVH阴性)、B组(梗死区域内存在FVH)、C组(梗死区域外存在FVH)、D组(梗死区域内外均存在FVH)。采用EVT后90 d随访基线改良Rankin量表(mRS)评分0~2分定义预后良好。采用多因素逻辑回归分析并构建超时间窗前循环大血管闭塞 AIS 病人 EVT 后预后预测模型。采用受试者操作特征(ROC)曲线下面积(AUC)分析预测效能。结果:最终纳入180例患者,A组56例患者,B组34例患者,C组63例患者,D组27例患者。C组相较于其他组良好预后率最低,B组患者出血转化率最高并且最终梗死体积最大(均 P<0.05)。Logistic 回归分析显示入院时NIHSS评分、术后NIHSS评分、血管再开通情况、最终梗死体积、 FVH与梗死区域位置关系是预测前循环大血管闭塞AIS病人EVT后预后的独立预测因子(均 P<0.05)。ROC曲线分析显示整合了上述所有独立预测因子的联合模型对病人预后具有较高的预测效能,AUC为0.904,敏感度为 83.1%,特异度为 83.5%。结论:术后FVH与梗死区域位置关系可作为评估AIS患者EVT后临床预后的有效影像学标志物。

    Abstract:

    Objective: To investigate the predictive value of the positional correlation between postoperative FLAIR vascular hyperintensity (FVH) and infarct areas in patients with acute ischemic stroke (AIS) for neurological functional outcomes after endovascular thrombectomy (EVT). Methods: A retrospective analysis was performed on the clinical and imaging data of 180 patients with acute ischemic stroke (AIS) who underwent endovascular thrombectomy (EVT) at our center between July 2017 and April 2025. All patients were divided into four groups according to the relationship between diffusion-weighted imaging (DWI) lesions and FLAIR vascular hyperintensity (FVH): Group A (FVH-negative), Group B (FVH located within infarct lesions), Group C (FVH located outside infarct lesions), and Group D (FVH present both inside and outside infarct lesions). Favorable functional prognosis was defined as a modified Rankin Scale (mRS) score of 0-2 at the 90-day follow-up after EVT. Multivariate logistic regression analysis was conducted to establish a prognostic prediction model for patients with anterior circulation large vessel occlusion AIS beyond the time window following EVT. The area under the receiver operating characteristic (ROC) curve (AUC) was calculated to evaluate the predictive efficacy of the model. Results: A total of 180 patients were enrolled in this study, including 56 patients in Group A, 34 in Group B, 63 in Group C, and 27 in Group D. Group C exhibited the lowest rate of favorable prognosis compared with the other groups, while Group B had the highest hemorrhagic transformation rate and the largest final infarct volume (all P < 0.05). Logistic regression analysis demonstrated that baseline NIHSS score on admission, postprocedural NIHSS score, vascular recanalization status, final infarct volume, and the positional relationship between FVH and infarct lesions were independent predictors of functional prognosis after EVT in AIS patients with anterior circulation large vessel occlusion (all P < 0.05). ROC curve analysis revealed that the combined model incorporating all the above independent predictors possessed strong predictive performance for patient prognosis, with an AUC of 0.904, a sensitivity of 83.1%, and a specificity of 83.5%. Conclusion: The positional relationship between postoperative FVH and the infarct core can serve as an effective imaging biomarker for evaluating clinical outcomes in patients with AIS following EVT.

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  • 收稿日期:2026-07-06
  • 最后修改日期:2026-09-15
  • 录用日期:2026-11-02
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