Saito Mikito, Kawano Hiroyuki, Adachi Takuya, Gomyo Miho, Yokoyama Kenichi, Shiokawa Yoshiaki, Hirano Teruyuki
Department of Stroke and Cerebrovascular Medicine, Kyorin University, Mitaka, Tokyo, Japan.
Department of Radiology, Kyorin University Hospital, Mitaka, Tokyo, Japan.
Eur Stroke J. 2024 Oct 13:23969873241289320. doi: 10.1177/23969873241289320.
The overestimation of ischemic core volume by CT perfusion (CTP) is a critical concern in the selection of candidates for reperfusion therapy. This phenomenon is termed a ghost infarct core (GIC). Core growth rate (CGR) is an indicator of ischemic severity. We aimed to elucidate the association between GIC and CGR.
Consecutive patients with acute ischemic stroke who underwent mechanical thrombectomy in our institute from March 2017 to July 2022 were enrolled. The initial ischemic core volume (IICV) was measured by pretreatment CTP, and the final infarct volume (FIV) was measured by diffusion-weighted imaging. A GIC was defined by IICV minus FIV > 10 ml. The CGR was calculated by dividing the IICV by the time from onset to CTP. Univariable analysis and a multivariable logistic regression model were used to evaluate the association between GIC-positive and CGR.
Of all 91 patients, 21 (23.1%) were GIC-positive. The GIC-positive group had higher CGR (14.2 [2.6-46.7] vs 4.8 [1.6-17.1] ml/h, = 0.02) and complete recanalization ( = 15 (71.4%) vs 29 (41.4%), = 0.02) compared to the GIC-negative group. On receiver-operating characteristic curve analysis, the optimal cutoff point of CGR to predict GIC-positive was 22 ml/h (sensitivity, 0.48; specificity, 0.85; AUC, 0.67). Multivariable logistic regression analysis showed that CGR ⩾ 22 ml/h (OR 6.44, 95% CI [1.59-26.10], = 0.01) and complete recanalization (OR 3.72, 95% CI [1.14-12.08], = 0.02) were independent predictors of GIC-positive.
A GIC was associated with fast CGR in acute ischemic stroke. Overestimation of the initial ischemic core may be determined by core growth speed.
在选择再灌注治疗的候选患者时,CT灌注成像(CTP)对缺血核心体积的高估是一个关键问题。这种现象被称为幽灵梗死核心(GIC)。核心生长率(CGR)是缺血严重程度的一个指标。我们旨在阐明GIC与CGR之间的关联。
纳入2017年3月至2022年7月在我院接受机械取栓的急性缺血性卒中连续患者。通过预处理CTP测量初始缺血核心体积(IICV),通过弥散加权成像测量最终梗死体积(FIV)。GIC定义为IICV减去FIV>10 ml。CGR通过IICV除以从发病到CTP的时间来计算。采用单变量分析和多变量逻辑回归模型评估GIC阳性与CGR之间的关联。
在所有91例患者中,21例(23.1%)为GIC阳性。与GIC阴性组相比,GIC阳性组的CGR更高(14.2[2.6 - 46.7] vs 4.8[1.6 - 17.1]ml/h,P = 0.02)且完全再通率更高(71.4%(15例)vs 41.4%(29例),P = 0.02)。在受试者工作特征曲线分析中,预测GIC阳性的CGR最佳截断点为22 ml/h(敏感性,0.48;特异性,0.85;AUC,0.67)。多变量逻辑回归分析显示,CGR⩾22 ml/h(OR 6.44,95%CI[1.59 - 26.10],P = 0.01)和完全再通(OR 3.72,95%CI[1.14 - 12.08],P = 0.02)是GIC阳性的独立预测因素。
在急性缺血性卒中中,GIC与快速CGR相关。初始缺血核心的高估可能由核心生长速度决定。