Muschelli John, Ullman Natalie L, Sweeney Elizabeth M, Eloyan Ani, Martin Neil, Vespa Paul, Hanley Daniel F, Crainiceanu Ciprian M
From the Department of Biostatistics, Bloomberg School of Public Health (J.M., E.M.S., A.E., C.M.C.) and Department of Neurology, Division of Brain Injury Outcomes (N.L.U., D.F.H.), Johns Hopkins Medical Institutions, Baltimore, MD; and Department of Neurosurgery, David Geffen School of Medicine at UCLA (N.M., P.V.).
Stroke. 2015 Nov;46(11):3270-3. doi: 10.1161/STROKEAHA.115.010369. Epub 2015 Oct 8.
The location of intracerebral hemorrhage (ICH) is currently described in a qualitative way; we provide a quantitative framework for estimating ICH engagement and its relevance to stroke outcomes.
We analyzed 111 patients with ICH from the Minimally Invasive Surgery Plus Recombinant-Tissue Plasminogen Activator for Intracerebral Evacuation (MISTIE) II clinical trial. We estimated ICH engagement at a population level using image registration of computed tomographic scans to a template and a previously labeled atlas. Predictive regions of National Institutes of Health Stroke Scale and Glasgow Coma Scale stroke severity scores, collected at enrollment, were estimated.
The percent coverage of the ICH by these regions strongly outperformed the reader-labeled locations. The adjusted R(2) almost doubled from 0.129 (reader-labeled model) to 0.254 (quantitative location model) for National Institutes of Health Stroke Scale and more than tripled from 0.069 (reader-labeled model) to 0.214 (quantitative location model). A permutation test confirmed that the new predictive regions are more predictive than chance: P<0.001 for National Institutes of Health Stroke Scale and P<0.01 for Glasgow Coma Scale.
Objective measures of ICH location and engagement using advanced computed tomographic imaging processing provide finer, objective, and more quantitative anatomic information than that provided by human readers.
URL: http://www.clinicaltrials.gov. Unique identifier: NCT00224770.
目前,脑出血(ICH)的位置是以定性方式描述的;我们提供了一个定量框架,用于估计脑出血的累及范围及其与卒中预后的相关性。
我们分析了来自脑出血微创外科手术联合重组组织型纤溶酶原激活剂脑内血肿清除术(MISTIE)II临床试验的111例脑出血患者。我们使用计算机断层扫描图像与模板及先前标记图谱的配准,在群体水平上估计脑出血的累及范围。对入组时收集的美国国立卫生研究院卒中量表(NIHSS)和格拉斯哥昏迷量表(GCS)卒中严重程度评分的预测区域进行了估计。
这些区域对脑出血的覆盖百分比明显优于阅片者标记的位置。对于NIHSS,调整后的R²从0.129(阅片者标记模型)几乎翻倍至0.254(定量定位模型),对于GCS则从0.069(阅片者标记模型)增至0.214(定量定位模型),增加了两倍多。排列检验证实,新的预测区域比随机预测更具预测性:NIHSS的P<0.001,GCS的P<0.01。
使用先进的计算机断层成像处理技术对脑出血位置和累及范围进行客观测量,比人工阅片提供了更精细、客观和更定量的解剖学信息。