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

Publikationstyp
Journal Article
Date Issued
2020-10-27
Sprache
English
Author(s)
Szwargulski, Patryk  
Wilmes, Maximilian  
Javidi, Ehsan  
Thieben, Florian  orcid-logo
Gräser, Matthias 
Martin Koch  
Gruettner, Cordula  
Adam, Gerhard  
Gerloff, Christian  
Magnus, Tim  
Knopp, Tobias  
Ludewig, Peter  
Institut
Biomedizinische Bildgebung E-5  
TORE-URI
http://hdl.handle.net/11420/7791
Journal
ACS nano  
Volume
14
Issue
10
Start Page
13913
End Page
13923
Citation
ACS Nano 10 (14): 13913-13923 (2020-10-27)
Publisher DOI
10.1021/acsnano.0c06326
Scopus ID
2-s2.0-85094983222
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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