Department of Neurology (Division of Neurocritical Care), Washington University in St. Louis, 660 S Euclid Avenue, Campus Box 8111, Saint Louis, MO, 63110, United States.
Neurosci Lett. 2020 Apr 17;724:134879. doi: 10.1016/j.neulet.2020.134879. Epub 2020 Feb 29.
Reduction in CSF volume from baseline to follow-up CT at or beyond 24 -hs can serve as a quantitative biomarker of cerebral edema after stroke. We have demonstrated that assessment of CSF displacement reflects edema metrics such as lesion volume, midline shift, and neurologic deterioration. We have also developed a neural network-based image segmentation algorithm that can automatically measure CSF volume on serial CT scans from stroke patients. We have integrated this algorithm into an image processing pipeline that can extract this edema biomarker from large cohorts of stroke patients. Finally, we have created a stroke repository that can archive and process images from thousands of stroke patients in order to measure CSF volumetrics. We plan on applying this metric as a quantitative endophenotype of cerebral edema to facilitate early prediction of clinical deterioration as well as large-scale genetic studies.
从基线到随访 CT 的 CSF 体积减少 24 小时后可以作为中风后脑水肿的定量生物标志物。我们已经证明，CSF 移位评估反映了水肿指标，如病变体积、中线移位和神经功能恶化。我们还开发了一种基于神经网络的图像分割算法，可以自动测量中风患者连续 CT 扫描的 CSF 体积。我们已经将该算法集成到一个图像处理管道中，可以从大量中风患者中提取这种水肿生物标志物。最后，我们创建了一个中风存储库，可以归档和处理数千名中风患者的图像，以测量 CSF 容积。我们计划将该指标用作脑水肿的定量内表型，以促进对临床恶化的早期预测和大规模的遗传研究。
