24.3
Magnetic Nanoparticles for Magnetic Particle Imaging
Magnetic particle imaging (MPI) is an emerging tomographic imaging technique
that provides the fast acquisition of 3-D volumes with high temporal resolution for
in vivo imaging. The principle of MPI is based on the nonlinear magnetic suscepti-
bility of MNPs (Paysen et al. 2019). In the presence of an oscillating magnetic field,
there is a shift in the magnetization of MNPs, which leads to the generation of
response signal from MNPs. MPI performance for clinical diagnostics strongly
depends on the type of the magnetic material assessed. Amongst a variety of
available MNPs, iron oxide NPs (IONPs) have the potential to be used as MPI
tracers attributed to its superparamagnetic nature, tendency for magnetic saturation,
and nonlinear magnetization curve. Additionally, IONPs are metabolizable and
nonradioactive, induce linearly qualitative images, and assist in long-term tracking
of targeted cells. As MPI directly locates and produces images of the IONPs in the
targeted area, thereby, the concentration of IONPs governs the intensity of the MPI
signal obtained (Meola et al. 2019). Moreover, MPI signal is only originated from
MNPs without signal contributions from anatomical structures as human body
tissues are diamagnetic in nature and thus cannot produce any signal that might be
deemed as background noise (Tomitaka et al. 2019). MPI has an edge over other
diagnostic techniques as it does not employ any source of radiation for imaging
purposes. To summarize, MPI offers a potential biomedical imaging technique with
same protection as magnetic resonance imaging, speed as of X-ray computed
tomography, and sensitivity that of positron-emission tomography (Khandhar et al.
2017).
These attributes offer a plethora of clinical applications such as cardiovascular
imaging, cancer diagnosis, brain injury detection, lung perfusion imaging, and
in vivo tracking of magnetically labelled stem cells. Moreover, the in vivo preclinical
diagnosis by MPI is reckoned clinically safe due to the biocompatible nature of
IONPs and nonemployment of any ionizing source for imaging purposes.
Additionally, MNP, has the potential to label the cells and these MNP-labelled
cell can be visualized by MPI, generating three-dimensional view of distributed
MNP-labelled cells in the body. On the basis of this, Song et al. tailored Fe3O4 NPs
encapsulated
by
fluorescent
semiconducting
polymers
to
create
Janus
Fe3O4NPs@semiconducting polymers which were assessed for the in vivo labelling
and tracking of cancer cells. In comparison with fluorescence imaging and MRI,
Janus Fe3O4NPs@semiconducting polymers by MPI offered superior sensitivity,
deep tissue penetration, and excellent linearity between the tracer amount and the
signal intensity (Song et al. 2018). Similarly, Jung et al. labelled exosomes released
by both hypoxic tumor cells and normal tumor cells with superparamagnetic
particles. The labelled exosomes were then traced by MPI (Jung et al. 2018).
Furthermore, Zheng et al. utilized standard superparamagnetic iron oxide (SPIO)
particles for the labelling of mesenchymal stem cells (MSCs) in order to trap them in
the target tissue. This experiment was performed on the mice in which labelled stem
cells were injected into the mice through the tail vein and then these distributed stem
cells were tracked through MPI (Zheng et al. 2016).
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Recent Progress in Applications of Magnetic Nanoparticles in Medicine: A Review
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