TY - JOUR
T1 - Magnetic Particle Imaging for Real-Time Perfusion Imaging in Acute Stroke
AU - Ludewig, Peter
AU - Gdaniec, Nadine
AU - Sedlacik, Jan
AU - Forkert, Nils D.
AU - Szwargulski, Patryk
AU - Graeser, Matthias
AU - Adam, Gerhard
AU - Kaul, Michael G.
AU - Krishnan, Kannan M.
AU - Ferguson, R. Matthew
AU - Khandhar, Amit P.
AU - Walczak, Piotr
AU - Fiehler, Jens
AU - Thomalla, Götz
AU - Gerloff, Christian
AU - Knopp, Tobias
AU - Magnus, Tim
N1 - Publisher Copyright:
© 2017 American Chemical Society.
PY - 2017/10/24
Y1 - 2017/10/24
N2 - The fast and accurate assessment of cerebral perfusion is fundamental for the diagnosis and successful treatment of stroke patients. Magnetic particle imaging (MPI) is a new radiation-free tomographic imaging method with a superior temporal resolution, compared to other conventional imaging methods. In addition, MPI scanners can be built as prehospital mobile devices, which require less complex infrastructure than computed tomography (CT) and magnetic resonance imaging (MRI). With these advantages, MPI could accelerate the stroke diagnosis and treatment, thereby improving outcomes. Our objective was to investigate the capabilities of MPI to detect perfusion deficits in a murine model of ischemic stroke. Cerebral ischemia was induced by inserting of a microfilament in the internal carotid artery in C57BL/6 mice, thereby blocking the blood flow into the medial cerebral artery. After the injection of a contrast agent (superparamagnetic iron oxide nanoparticles) specifically tailored for MPI, cerebral perfusion and vascular anatomy were assessed by the MPI scanner within seconds. To validate and compare our MPI data, we performed perfusion imaging with a small animal MRI scanner. MPI detected the perfusion deficits in the ischemic brain, which were comparable to those with MRI but in real-time. For the first time, we showed that MPI could be used as a diagnostic tool for relevant diseases in vivo, such as an ischemic stroke. Due to its shorter image acquisition times and increased temporal resolution compared to that of MRI or CT, we expect that MPI offers the potential to improve stroke imaging and treatment.
AB - The fast and accurate assessment of cerebral perfusion is fundamental for the diagnosis and successful treatment of stroke patients. Magnetic particle imaging (MPI) is a new radiation-free tomographic imaging method with a superior temporal resolution, compared to other conventional imaging methods. In addition, MPI scanners can be built as prehospital mobile devices, which require less complex infrastructure than computed tomography (CT) and magnetic resonance imaging (MRI). With these advantages, MPI could accelerate the stroke diagnosis and treatment, thereby improving outcomes. Our objective was to investigate the capabilities of MPI to detect perfusion deficits in a murine model of ischemic stroke. Cerebral ischemia was induced by inserting of a microfilament in the internal carotid artery in C57BL/6 mice, thereby blocking the blood flow into the medial cerebral artery. After the injection of a contrast agent (superparamagnetic iron oxide nanoparticles) specifically tailored for MPI, cerebral perfusion and vascular anatomy were assessed by the MPI scanner within seconds. To validate and compare our MPI data, we performed perfusion imaging with a small animal MRI scanner. MPI detected the perfusion deficits in the ischemic brain, which were comparable to those with MRI but in real-time. For the first time, we showed that MPI could be used as a diagnostic tool for relevant diseases in vivo, such as an ischemic stroke. Due to its shorter image acquisition times and increased temporal resolution compared to that of MRI or CT, we expect that MPI offers the potential to improve stroke imaging and treatment.
KW - animal models of human disease
KW - basic science research
KW - cerebrovascular disease
KW - ischemic stroke
KW - magnetic particle imaging
KW - nanomedicine
KW - nanoparticles
KW - stroke imaging
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U2 - 10.1021/acsnano.7b05784
DO - 10.1021/acsnano.7b05784
M3 - Article
C2 - 28976180
AN - SCOPUS:85033401068
SN - 1936-0851
VL - 11
SP - 10480
EP - 10488
JO - ACS Nano
JF - ACS Nano
IS - 10
ER -