Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Department of Neurosurgery, University Medical Center, 3584 CS Utrecht, The Netherlands.
Sensors (Basel). 2018 Feb 5;18(2):465. doi: 10.3390/s18020465.
Intracranial pressure (ICP) monitoring is a staple of neurocritical care. The most commonly used current methods of monitoring in the acute setting include fluid-based systems, implantable transducers and Doppler ultrasonography. It is well established that management of elevated ICP is critical for clinical outcomes. However, numerous studies show that current methods of ICP monitoring cannot reliably define the limit of the brain's intrinsic compensatory capacity to manage increases in pressure, which would allow for proactive ICP management. Current work in the field hopes to address this gap by harnessing live-streaming ICP pressure-wave data and a multimodal integration with other physiologic measures. Additionally, there is continued development of non-invasive ICP monitoring methods for use in specific clinical scenarios.
颅内压（ICP）监测是神经危重症治疗的基础。目前在急性情况下最常用的监测方法包括基于流体的系统、植入式换能器和多普勒超声检查。已经证实，ICP 的管理对于临床结果至关重要。然而，许多研究表明，目前的 ICP 监测方法不能可靠地确定大脑内在代偿能力的极限，以应对压力的增加，这将允许主动进行 ICP 管理。该领域目前的工作希望通过利用实时 ICP 压力波数据和与其他生理测量的多模态整合来解决这一差距。此外，还在继续开发用于特定临床情况的非侵入性 ICP 监测方法。
