Neurology.
Neurosurgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing, China.
J Comput Assist Tomogr. 2022;46(6):945-952. doi: 10.1097/RCT.0000000000001342. Epub 2022 Jun 9.
This study compared ischemic core and penumbra volumes obtained using different computed tomography perfusion (CTP) software and evaluated the predictive value of CTP and magnetic resonance imaging (MRI) results for 90-day outcomes.
In total, 105 acute ischemic stroke patients who underwent endovascular treatment from January 2016 to December 2020 were included. Patients were divided into good and poor outcome groups by a modified Rankin Scale score. Computed tomography perfusion core and penumbra volumes were obtained using OleaSphere and Vitrea software to assess the volumetric relationship with MRI using the Spearman correlation test, intraclass correlation coefficient (ICC), and Bland-Altman plot. Three multivariable models were developed: baseline variables with MRI infarct volume, baseline variables with OleaSphere core volume, and baseline variables with Vitrea core volume. The area under the receiver operating characteristic curve of the 3 models was compared using the DeLong test.
Median core volumes were 27.5, 26.9, and 31.1 mL for OleaSphere, Vitrea, and MRI, respectively. There was substantial correlation and excellent agreement between OleaSphere and MRI core volume ( ρ = 0.84, P < 0.001; ICC = 0.84) and Vitrea and MRI core volume ( ρ = 0.80, P < 0.001; ICC = 0.83). The areas under curve for MRI volume, OleaSphere, and Vitrea were 0.86, 0.84, and 0.83, respectively. There were no significant differences ( P = 0.18) between the predictive value of the 3 models.
Computed tomography perfusion core volumes showed substantial correlation and excellent agreement with MRI. There was no significant difference in the predictive value of the 3 models, suggesting that core volumes measured using CTP software can predict patient prognosis.
本研究比较了使用不同计算机断层灌注(CTP)软件获得的缺血核心和半影区体积,并评估了 CTP 和磁共振成像(MRI)结果对 90 天结局的预测价值。
共纳入 2016 年 1 月至 2020 年 12 月期间接受血管内治疗的 105 例急性缺血性脑卒中患者。根据改良 Rankin 量表评分将患者分为预后良好组和预后不良组。使用 OleaSphere 和 Vitrea 软件获得 CTP 核心和半影区体积,采用 Spearman 相关检验、组内相关系数(ICC)和 Bland-Altman 图评估与 MRI 的体积关系。建立了 3 个多变量模型:基于 MRI 梗死体积的基线变量、基于 OleaSphere 核心体积的基线变量和基于 Vitrea 核心体积的基线变量。采用 DeLong 检验比较 3 个模型的受试者工作特征曲线下面积。
OleaSphere、Vitrea 和 MRI 的核心体积中位数分别为 27.5、26.9 和 31.1mL。OleaSphere 与 MRI 核心体积( ρ=0.84,P<0.001;ICC=0.84)和 Vitrea 与 MRI 核心体积( ρ=0.80,P<0.001;ICC=0.83)之间具有高度相关性和极好的一致性。MRI 体积、OleaSphere 和 Vitrea 的曲线下面积分别为 0.86、0.84 和 0.83。3 个模型的预测价值之间无显著差异( P=0.18)。
CTP 核心体积与 MRI 具有高度相关性和极好的一致性。3 个模型的预测价值无显著差异,提示 CTP 软件测量的核心体积可以预测患者预后。