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Monitoring Intracranial Cerebral Hemorrhage Using Multicontrast Real-Time Magnetic Particle Imaging

磁粉成像 血肿 医学 脑血流 灌注 灌注扫描 放射科 脑灌注压 神经重症监护 磁共振成像 脑出血 生物医学工程 内科学 麻醉 材料科学 蛛网膜下腔出血 纳米技术 纳米颗粒 磁性纳米粒子
作者
Patryk Szwargulski,Maximilian Wilmes,Ehsan Javidi,Florian Thieben,Matthias Graeser,Martin Koch,Cordula Gruettner,Gerhard Adam,Christian Gerloff,Tim Magnus,Tobias Knopp,Peter Ludewig
出处
期刊:ACS Nano [American Chemical Society]
卷期号:14 (10): 13913-13923 被引量:70
标识
DOI:10.1021/acsnano.0c06326
摘要

Magnetic particle imaging (MPI) is an innovative radiation-free tomographic imaging method providing excellent temporal resolution, contrast, sensitivity, and safety. Mobile human MPI prototypes suitable for continuous bedside monitoring of whole-brain perfusion have been developed. However, for the clinical translation of MPI, a crucial gap in knowledge still remains: while MPI can visualize the reduction in blood flow and tissue perfusion in cerebral ischemia, it is unclear whether MPI works in intracranial hemorrhage. Our objective was to investigate the capability of MPI to detect intracranial hemorrhage in a murine model. Intracranial hemorrhage was induced through the injection of collagenase into the striatum of C57BL/6 mice. After the intravenous infusion of a long-circulating MPI-tailored tracer consisting of superparamagnetic iron oxides, we detected the intracranial hemorrhage in less than 3 min and could monitor hematoma expansion in real time. Multicontrast MPI can distinguish tracers based on their physical characteristics, core size, temperature, and viscosity. By employing in vivo multicontrast MPI, we were able to differentiate areas of liquid and coagulated blood within the hematoma, which could provide valuable information in surgical decision making. Multicontrast MPI also enabled simultaneous imaging of hemorrhage and cerebral perfusion, which is essential in the care of critically ill patients with increased intracranial pressure. We conclude that MPI can be used for real-time diagnosis of intracranial hemorrhage. This work is an essential step toward achieving the clinical translation of MPI for point-of-care monitoring of different stroke subtypes.

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