Wang Yajing, Mao Qianqian, Jiang Liang, Peng Mingyang, Chen Yu-Chen, Zhang Hong, Wang Liwei, Yin Xindao
Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Department of Radiology, Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China.
Front Neurol. 2024 Oct 7;15:1445017. doi: 10.3389/fneur.2024.1445017. eCollection 2024.
The primary objective was to investigate the value of the fluid attenuated inversion recovery (FLAIR) signal intensity ratio (SIR) in identifying stroke within 4.5 h. The secondary objective was to ascertain whether large vessel occlusion (LVO) mediated the relationship between the SIR and stroke within 4.5 h.
We analyzed 633 acute stroke patients within 24 h of clear symptom onset. The SIR and DWI-FLAIR mismatch were evaluated. First, we determined whether demographic variables, vascular risk factors and LVO were related to stroke within 4.5 h with multivariate logistic regression analyses and stratified regression analysis. Next, we used mediation analysis to determine whether LVO explained the association between SIR and stroke within 4.5 h. Finally, we used receiver operating characteristic (ROC) analysis to assess the value of SIR, independent variable, and multiparameter models in identifying stroke within 4.5 h and compared with DWI-FLAIR mismatch.
Hyperlipemia, LVO and SIR were associated with stroke within 4.5 h. Mediation analysis revealed that LVO partially mediated the relationship between SIR and stroke within 4.5 h ( < 0.001). The multiparameter model (hyperlipemia, LVO and SIR) showed significantly improved performance (AUC 0.869) in identifying stroke within 4.5 h over DWI-FLAIR mismatch (0.684), hyperlipemia (0.632), LVO (0.667) and SIR (0.773) models.
SIR is associated with stroke within 4.5 h, and LVO partially mediates this relationship. A multiparameter model combining hyperlipemia, LVO and SIR can more accurately identify stroke within 4.5 h than individual parameter models.
主要目的是研究液体衰减反转恢复(FLAIR)信号强度比(SIR)在识别4.5小时内卒中的价值。次要目的是确定大血管闭塞(LVO)是否介导了SIR与4.5小时内卒中之间的关系。
我们分析了633例症状明确发作后24小时内的急性卒中患者。评估了SIR和弥散加权成像-液体衰减反转恢复(DWI-FLAIR)不匹配情况。首先,我们通过多因素逻辑回归分析和分层回归分析确定人口统计学变量、血管危险因素和LVO是否与4.5小时内的卒中相关。接下来,我们使用中介分析来确定LVO是否解释了SIR与4.5小时内卒中之间的关联。最后,我们使用受试者工作特征(ROC)分析来评估SIR、自变量和多参数模型在识别4.5小时内卒中的价值,并与DWI-FLAIR不匹配情况进行比较。
高脂血症、LVO和SIR与4.5小时内的卒中相关。中介分析显示,LVO部分介导了SIR与4.5小时内卒中之间的关系(<0.001)。多参数模型(高脂血症、LVO和SIR)在识别4.5小时内卒中方面的表现(曲线下面积[AUC]为0.869)明显优于DWI-FLAIR不匹配情况(0.684)、高脂血症(0.632)、LVO(0.667)和SIR(0.773)模型。
SIR与4.5小时内的卒中相关,LVO部分介导了这种关系。与单个参数模型相比,结合高脂血症、LVO和SIR的多参数模型能够更准确地识别4.5小时内的卒中。