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使用纵向动脉自旋标记 MRI 检测神经重症监护中的脑血流方法。

Method for detection of cerebral blood flow in neurointensive care using longitudinal arterial spin labeling MRI.

机构信息

Department of Biomedical Engineering, Linköping University, Linköping, Sweden.

Department of Medical Radiation Physics, Linköping University Hospital, Linköping, Sweden.

出版信息

PLoS One. 2024 Nov 19;19(11):e0314056. doi: 10.1371/journal.pone.0314056. eCollection 2024.

DOI:10.1371/journal.pone.0314056
PMID:39561199
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11575771/
Abstract

Cerebral blood flow (CBF) is carefully monitored in the Neurointensive Care Unit (NICU) to prevent secondary brain insults in patients who have suffered subarachnoid hemorrhage. Including absolute MRI measurements of CBF in the NICU monitoring protocol could add valuable information and potentially improve patient outcomes. This is particularly feasible at Linköping University Hospital, which uniquely has an MRI scanner located in the NICU, enabling longitudinal CBF measurements while eliminating medical transportation risks. Arterial spin labeling is a subtraction-based MRI technique that can measure CBF globally in the brain without the use of contrast agents, and thus is suitable for repeated measurements over short time periods. Therefore, this work aims to develop and implement a methodological workflow for the acquisition, analysis, absolute quantification, and visualization of longitudinal arterial spin labeling MRI measurements acquired in the clinical NICU setting. At this initial stage, the workflow was implemented and tested using acquired test-retest data and longitudinal data from two healthy participants. Subsequently, the workflow was tested in clinical practice on an intubated and ventilated patient monitored in the NICU after suffering a subarachnoid hemorrhage. To ensure accurate day-to-day comparisons between the repeated measurements, the selection of processing and analysis methods aimed to obtain CBF maps in absolute units of ml/min/100g. These CBF maps were quantified using both the FMRIB Software Library and an openly available flow territory atlas. The test-retest data showed small variations (4.4 ml/min/100g between sessions), and the longitudinal measurement resulted in low CBF variability over 12 days. Despite the greater complexity of clinical data, the quantification and chosen visualization tools proved helpful in interpreting the results. In conclusion, this workflow including repeated MRI measurements could help detect changes in CBF between different measurement days and complement other conventional monitoring techniques in the NICU.

摘要

脑血流 (CBF) 在神经重症监护病房 (NICU) 中受到严密监测,以预防蛛网膜下腔出血患者发生继发性脑损伤。在 NICU 监测方案中纳入 CBF 的绝对 MRI 测量值可能会提供有价值的信息,并有可能改善患者的预后。在林雪平大学医院,这一点尤其可行,因为该医院独特地在 NICU 中配备了 MRI 扫描仪,能够进行纵向 CBF 测量,同时消除了医疗转运的风险。动脉自旋标记是一种基于减法的 MRI 技术,无需使用造影剂即可测量大脑中的 CBF 总量,因此非常适合在短时间内进行重复测量。因此,本研究旨在开发和实施一种用于获取、分析、绝对量化和可视化在临床 NICU 环境中采集的纵向动脉自旋标记 MRI 测量值的方法学工作流程。在初始阶段,使用获得的测试-重测数据和两名健康参与者的纵向数据来实现和测试该工作流程。随后,在 NICU 中监测一名因蛛网膜下腔出血而插管和通气的患者的临床实践中对该工作流程进行了测试。为了确保在重复测量之间进行准确的日常比较,选择了处理和分析方法,以获得以毫升/分钟/100 克为单位的绝对 CBF 图。使用 FMRIB 软件库和一个公开的血流区域图谱对这些 CBF 图进行了量化。测试-重测数据显示出较小的变化(两次检查之间相差 4.4 毫升/分钟/100 克),而纵向测量在 12 天内导致 CBF 变化较小。尽管临床数据更为复杂,但定量和选择的可视化工具有助于解释结果。总之,包括重复 MRI 测量的此工作流程有助于检测不同测量日之间的 CBF 变化,并补充 NICU 中的其他常规监测技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/62508e21d8d2/pone.0314056.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/81f47ef37cee/pone.0314056.g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/1111259ab4bb/pone.0314056.g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/60468a677a9d/pone.0314056.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/2f78e21a305e/pone.0314056.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/ce83c97f955b/pone.0314056.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/62508e21d8d2/pone.0314056.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/81f47ef37cee/pone.0314056.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/4e7f30f748ca/pone.0314056.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/891b830ab1f8/pone.0314056.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/1111259ab4bb/pone.0314056.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/19a5c9ce7685/pone.0314056.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/60468a677a9d/pone.0314056.g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/ce83c97f955b/pone.0314056.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30da/11575771/62508e21d8d2/pone.0314056.g009.jpg

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