利用 CT 灌注中的脑氧代谢率 (CMRO2) 量化急性缺血性脑卒中患者的梗死核心体积。

Chuluunbaatar Otgonbaatar, Huijin Song, Keun-Hwa Jung, Inpyeong Hwang, Young Hun Jeon, Kyu Sung Choi, Dong Hyun Yoo, Chul-Ho Sohn
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引用次数: 0

摘要

背景和目的:在基于 15°示踪剂的正电子发射断层扫描中,脑氧代谢率(CMRO2)被认为是梗死核心的可靠标记。我们的目的是使用常用的相对脑血流量(rCBF)< 30% 和 CT 灌注上的氧代谢参数 CMRO2,与治疗前弥散加权成像(DWI)得出的梗死核心体积进行比较,从而划分急性缺血性脑卒中患者的梗死核心:符合纳入标准的急性缺血性脑卒中患者。使用后处理软件自动生成 CT 灌注中的 CMRO2 和 CBF 图。梗死核心体积以相对 (r) CMRO2 < 20% - 30% 和 rCBF < 30% 为量化标准。最佳阈值的定义是:与 DWI 相比,平均绝对误差最小、平均梗死核心容积差异最小、95% 一致限最窄、类内相关系数(ICC)最大的阈值:本研究共纳入 76 名患者(平均年龄 ± 标准差,69.97 ± 12.15 岁,43 名男性)。在不同阈值中,rCMRO2 < 26% 的最佳阈值导致平均梗死核心容积差异最小、95% 的一致性极限最窄、ICC 最大。Bland-Altman 分析显示,DWI 和 rCMRO2 < 26% 之间的体积偏差为 1.96 mL,而在 DWI 和 rCBF < 30% 的情况下,偏差明显更大,为 14.10 mL。rCMRO2<26%的相关性最高(ICC=0.936),而rCBF<30%的ICC稍低,为0.934:CT灌注衍生的CMRO2是估计急性缺血性卒中患者梗死核心体积的一个有前途的参数:缩写:CMRO2 = 脑氧代谢率。
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Quantification of Infarct Core Volume in Patients with Acute Ischemic Stroke Using Cerebral Metabolic Rate of Oxygen in CT Perfusion.

Background and purpose: The cerebral metabolic rate of oxygen (CMRO2) is considered a robust marker of the infarct core in 15O-tracer-based PET. We aimed to delineate the infarct core in patients with acute ischemic stroke by using commonly used relative CBF (rCBF) < 30% and oxygen metabolism parameter of CMRO2 on CT perfusion in comparison with pretreatment DWI-derived infarct core volume.

Materials and methods: Patients with acute ischemic stroke who met the inclusion criteria were recruited. The CMRO2 and CBF maps in CT perfusion were automatically generated by using postprocessing software. The infarct core volume was quantified with relative cerebral metabolic rate of oxygen (rCMRO2) <20% -30% and rCBF <30%. The optimal threshold was defined as those that demonstrated the smallest mean absolute error, lowest mean infarct core volume difference, narrowest 95% limit of agreement, and largest intraclass correlation coefficient (ICC) against the DWI.

Results: This study included 76 patients (mean age ± standard deviation, 69.97 ± 12.15 years, 43 men). The optimal thresholds of rCMRO2 <26% resulted in the lowest mean infarct core volume difference, narrowest 95% limit of agreement, and largest ICC among different thresholds. Bland-Altman analysis demonstrated a volumetric bias of 1.96 mL between DWI and rCMRO2 <26%, whereas in cases of DWI and rCBF <30%, the bias was notably larger at 14.10 mL. The highest correlation was observed for rCMRO2 <26% (ICC = 0.936), whereas rCBF <30% showed a slightly lower ICC of 0.934.

Conclusions: CT perfusion-derived CMRO2 is a promising parameter for estimating the infarct core volume in patients with acute ischemic stroke.

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