Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
Neuroimage Clin. 2022;34:102998. doi: 10.1016/j.nicl.2022.102998. Epub 2022 Mar 30.
In stroke care, the extent of irreversible brain injury, termed infarct core, plays a key role in determining eligibility for acute treatments, such as intravenous thrombolysis and endovascular reperfusion therapies. Many of the pivotal randomized clinical trials testing those therapies used MRI Diffusion-Weighted Imaging (DWI) or CT Perfusion (CTP) to define infarct core. Unfortunately, these modalities are not available 24/7 outside of large stroke centers. As such, there is a need for accurate infarct core determination using faster and more widely available imaging modalities including Non-Contrast CT (NCCT) and CT Angiography (CTA). Prior studies have suggested that CTA provides improved predictions of infarct core relative to NCCT; however, this assertion has never been numerically quantified by automatic medical image computing pipelines using acquisition protocols not confounded by different scanner manufacturers, or other protocol settings such as exposure times, kilovoltage peak, or imprecision due to contrast bolus delays. In addition, single-phase CTA protocols are at present designed to optimize contrast opacification in the arterial phase. This approach works well to maximize the sensitivity to detect vessel occlusions, however, it may not be the ideal timing to enhance the ischemic infarct core signal (ICS). In this work, we propose an image analysis pipeline on CT-based images of 88 acute ischemic stroke (AIS) patients drawn from a single dynamic acquisition protocol acquired at the acute ischemic phase. We use the first scan at the time of the dynamic acquisition as a proxy for NCCT, and the rest of the scans as a proxy for CTA scans, with bolus imaged at different brain enhancement phases. Thus, we use the terms "NCCT" and "CTA" to refer to them. This pipeline enables us to answer the questions "Does the injection of bolus enhance the infarct core signal?" and "What is the ideal bolus timing to enhance the infarct core signal?" without being influenced by aforementioned factors such as scanner model, acquisition settings, contrast bolus delay, and human reader errors. We use reference MRI DWI images acquired after successful recanalization acting as our gold standard for infarct core. The ICS is quantified by calculating the difference in intensity distribution between the infarct core region and its symmetrical healthy counterpart on the contralateral hemisphere of the brain using a metric derived from information theory, the Kullback-Leibler divergence (KL divergence). We compare the ICS provided by NCCT and CTA and retrieve the optimal timing of CTA bolus to maximize the ICS. In our experiments, we numerically confirm that CTAs provide greater ICS compared to NCCT. Then, we find that, on average, the ideal CTA acquisition time to maximize the ICS is not the current target of standard CTA protocols, i.e., during the peak of arterial enhancement, but a few seconds afterward (median of 3 s; 95% CI [1.5, 3.0]). While there are other studies comparing the prediction potential of ischemic infarct core from NCCT and CTA images, to the best of our knowledge, this analysis is the first to perform a quantitative comparison of the ICS among CT based scans, with and without bolus injection, acquired using the same scanning sequence and a precise characterization of the bolus uptake, hence, reducing potential confounding factors.
在脑卒中治疗中,不可逆的脑损伤程度,即梗死核心,在决定急性治疗的适用性方面起着关键作用,如静脉溶栓和血管内再灌注治疗。许多测试这些治疗方法的关键性随机临床试验使用磁共振弥散加权成像(DWI)或 CT 灌注(CTP)来定义梗死核心。不幸的是,这些方式在大型脑卒中中心之外的 24 小时内无法使用。因此,需要使用更快和更广泛的成像方式,包括非对比 CT(NCCT)和 CT 血管造影(CTA),来进行准确的梗死核心测定。先前的研究表明,与 NCCT 相比,CTA 提供了更好的梗死核心预测;然而,这一说法从未被使用自动医学图像计算管道的数值量化过,这些管道使用的采集协议不受不同扫描仪制造商的影响,或不受其他协议设置(如曝光时间、千伏峰值、或因对比剂团注延迟导致的不准确性)的影响。此外,单相 CTA 方案目前旨在优化动脉期的对比增强。这种方法在最大限度地提高检测血管闭塞的敏感性方面效果很好,但是,它可能不是增强缺血性梗死核心信号(ICS)的理想时机。在这项工作中,我们提出了一种基于 CT 的图像分析管道,该管道基于 88 名急性缺血性脑卒中(AIS)患者的单次动态采集方案,这些患者来自于单一的急性缺血期采集方案。我们使用动态采集时的第一次扫描作为 NCCT 的代理,其余扫描作为 CTA 扫描的代理,用不同的脑增强阶段的团注进行成像。因此,我们使用“NCCT”和“CTA”来指代它们。这个管道使我们能够回答以下问题:“注入团注是否增强了梗死核心信号?”以及“增强梗死核心信号的理想团注时间是什么?”而不受上述因素的影响,如扫描仪模型、采集设置、对比剂团注延迟和人工读者错误。我们使用成功再通后获得的参考 MRI DWI 图像作为梗死核心的金标准。通过计算大脑对侧半球梗死核心区域与其对称健康区域之间的强度分布差异,使用信息论导出的度量,即 Kullback-Leibler 散度(KL 散度),来量化 ICS。我们比较了 NCCT 和 CTA 提供的 ICS,并检索了最大化 ICS 的 CTA 团注的最佳时间。在我们的实验中,我们从数值上证实了 CTA 比 NCCT 提供了更大的 ICS。然后,我们发现,平均而言,最大化 ICS 的理想 CTA 采集时间不是标准 CTA 方案的当前目标,即在动脉增强的峰值,而是在几秒钟之后(中位数为 3 秒;95%CI [1.5, 3.0])。虽然有其他研究比较了 NCCT 和 CTA 图像对缺血性梗死核心的预测潜力,但据我们所知,这项分析是第一个对基于 CT 的扫描进行定量比较的,包括有无团注注射,使用相同的扫描序列和精确的团注摄取特征,从而减少了潜在的混杂因素。