Zimmerman William Denney, Pergakis Melissa, Ahmad Ghasan, Morris Nicholas A, Podell Jamie, Chang Wan-Tsu, Motta Melissa, Chen Hegang, Jindal Gaurav, Bodanapally Uttam, Simard J Marc, Badjatia Neeraj, Parikh Gunjan Y
University of Maryland School of Medicine.
Hackensack Meridian Jersey Shore University Medical Center.
Res Sq. 2023 Nov 10:rs.3.rs-3508427. doi: 10.21203/rs.3.rs-3508427/v1.
BACKGROUND & PURPOSE: Ischemia affecting two thirds of the MCA territory predicts development of malignant cerebral edema. However, early infarcts are hard to diagnose on conventional head CT. We hypothesize that high-energy (190keV) virtual monochromatic images (VMI) from dual-energy CT (DECT) imaging enables earlier detection of secondary injury from malignant cerebral edema (MCE).
Consecutive LHI patients with NIHSS ≥ 15 and DECT within 10 hours of reperfusion from May 2020 to March 2022 were included. We excluded patients with parenchymal hematoma-type 2 transformation. Retrospective analysis of clinical and novel variables included VMI Alberta Stroke Program Early CT Score (ASPECTS), total iodine content, and VMI infarct volume. Primary outcome was early neurological decline (END). Secondary outcomes included hemorrhagic transformation, decompressive craniectomy (DC), and medical treatment of MCE. Fisher's exact test and Wilcoxon test were used for univariate analysis. Logistic regression was used to develop prediction models for categorical outcomes.
Eighty-four LHI patients with a median age of 67.5 [IQR 57,78] years and NIHSS 22 [IQR 18,25] were included. Twenty-nine patients had END. VMI ASPECTS, total iodine content, and VMI infarct volume were associated with END. VMI ASPECTS, VMI infarct volume, and total iodine content were predictors of END after adjusting for age, sex, initial NIHSS, and tPA administration, with a AUROC of 0.691 [0.572,0.810], 0.877 [0.800, 0.954], and 0.845 [0.750, 0.940]. By including all three predictors, the model achieved AUROC of 0.903 [0.84,0.97] and was cross validated by leave one out method with AUROC of 0.827.
DECT with high-energy VMI and iodine quantification is superior to conventional CT ASPECTS and is a novel predictor for early neurological decline due to malignant cerebral edema after large hemispheric infarction.
影响大脑中动脉供血区三分之二的缺血预示着恶性脑水肿的发展。然而,早期梗死在传统头部CT上很难诊断。我们假设双能CT(DECT)成像的高能(190keV)虚拟单色图像(VMI)能够更早地检测出恶性脑水肿(MCE)导致的继发性损伤。
纳入2020年5月至2022年3月间连续的NIHSS≥15且在再灌注后10小时内接受DECT检查的大面积半球梗死(LHI)患者。我们排除了发生2型实质血肿转化的患者。对临床和新变量进行回顾性分析,包括VMI阿尔伯塔卒中项目早期CT评分(ASPECTS)、总碘含量和VMI梗死体积。主要结局是早期神经功能恶化(END)。次要结局包括出血转化、去骨瓣减压术(DC)和MCE的药物治疗。采用Fisher精确检验和Wilcoxon检验进行单因素分析。使用逻辑回归建立分类结局的预测模型。
纳入84例LHI患者,中位年龄67.5[四分位间距57,78]岁,NIHSS为22[四分位间距18,25]。29例患者发生END。VMI ASPECTS、总碘含量和VMI梗死体积与END相关。在调整年龄、性别、初始NIHSS和tPA使用后,VMI ASPECTS、VMI梗死体积和总碘含量是END的预测因素,曲线下面积(AUROC)分别为0.691[0.572,0.810]、0.877[0.800,0.954]和0.845[0.750,0.940]。通过纳入所有三个预测因素,模型的AUROC为0.903[0.84,0.97],并采用留一法进行交叉验证,AUROC为0.827。
具有高能VMI和碘定量功能的DECT优于传统CT ASPECTS,是大面积半球梗死后因恶性脑水肿导致早期神经功能恶化的一种新的预测指标。