TY - JOUR
T1 - Monitoring intracranial cerebral hemorrhage using multicontrast real-time magnetic particle imaging
AU - Ludewig, Peter
AU - Szwargulski, Patryk
AU - Wilmes, Maximilian
AU - Javidi, Ehsan
AU - Thieben, Florian
AU - Graeser, Matthias
AU - Koch, Martin
AU - Gruettner, Cordula
AU - Adam, Gerhard
AU - Gerloff, Christian
AU - Magnus, Tim
AU - Knopp, Tobias
N1 - Funding Information:
This work was supported by the “Forschungszentrums Medizintechnik Hamburg” (FMTHH) by the Hertie-Stiftung (Hertie Academy of Clinical Neuroscience), the German Research Foundation (DFG; grant numbers: GR 5287/2-1, KN 1108/7-1, DFG FOR 2879 [project LU 1924/1-1 and MA 4375/6-1], SFB 1328 [project A13]), and the “Hermann und Lily Schilling Stiftung”. This work was also supported by the BMBF under the frame of EuroNanoMed III (grant number: 13XP5060B, “Magnetise”).
Publisher Copyright:
© 2020 American Chemical Society.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10/27
Y1 - 2020/10/27
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85094983222&partnerID=8YFLogxK
U2 - 10.1021/acsnano.0c06326
DO - 10.1021/acsnano.0c06326
M3 - Journal articles
C2 - 32941000
AN - SCOPUS:85094983222
SN - 1936-0851
VL - 14
SP - 13913
EP - 13923
JO - ACS Nano
JF - ACS Nano
IS - 10
ER -