scholarly journals Particle interactions and their effect on magnetic particle imaging and spectroscopy

2021 ◽  
Author(s):  
Lorena Moor ◽  
Subas Scheibler ◽  
Lukas Gerken ◽  
Konrad Scheffler ◽  
Florian Thieben ◽  
...  
Keyword(s):  
Magnetic Particle ◽  
Cell Model ◽  
Interparticle Distance ◽  
Magnetic Coupling ◽  
Nano Particles ◽  
Particle Interactions ◽  
Signal Stability ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

Tracer and thus signal stability is crucial for an accurate diagnosis via magnetic particle imaging (MPI). However, MPI-tracer nanoparticles frequently agglomerate during their in vivo applications leading to particle interactions. Here, we investigate the influence of such magnetic coupling phenomena on the MPI signal. We prepared and characterized Zn0.4Fe2.6O4 nanoparticles and controlled their interparticle distance by varying SiO2 coating thickness. The silica shell affected the magnetic properties indicating stronger particle interactions for a smaller interparticle distance. The SiO2-coated Zn0.4Fe2.6O4 outperformed the bare sample in magnetic particle spectroscopy (MPS) in terms of signal/noise, however, the shell thickness itself only weakly influenced the MPS signal. To investigate the importance of magnetic coupling effects in more detail, we benchmarked the MPS signal of the bare and SiO2-coated Zn-ferrites against commercially available PVP-coated Fe3O4 nanoparticles in water and PBS. PBS is known to destabilize nano-particles mimicking an agglomeration in vivo. The bare and coated Zn-ferrites showed excellent signal stability, despite their agglomeration in PBS. We attribute this to their aggregated morphology formed during their flame-synthesis. On the other hand, the MPS signal of commercial PVP-coated Fe3O4 strongly decreased in PBS compared to water, indicating strongly changed particle interactions. The relevance of this effect was further investigated in a mammalian cell model. For PVP-coated Fe3O4, we could detect a strong discrepancy between the particle concentration obtained from the MPS signal and the actual concentration determined via ICP-MS. The same trend was observed during their MPI analysis; while SiO2-coated Zn-ferrites could be precisely located in water and PBS, PVP-coated Fe3O4 could not be detected in PBS at all. This drastically limits the sensitivity and also general applicability of MPI using such standard commercial tracers and highlights the advantages of our flame-made Zn-ferrites concerning signal stability and ultimately diagnostic accuracy.

scholarly journals In vivo magnetic particle imaging: angiography of inferior vena cava and aorta in rats using newly developed multicore particles

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Azadeh Mohtashamdolatshahi ◽  
Harald Kratz ◽  
Olaf Kosch ◽  
Ralf Hauptmann ◽  
Nicola Stolzenburg ◽  
...  
Keyword(s):  
Image Quality ◽  
Inferior Vena Cava ◽  
Temporal Resolution ◽  
Magnetic Particle ◽  
Inferior Vena ◽  
Vena Cava ◽  
High Temporal Resolution ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

Abstract Magnetic Particle Imaging (MPI) is a new imaging modality, which maps the distribution of magnetic nanoparticles (MNP) in 3D with high temporal resolution. It thus may be suited for cardiovascular imaging. Its sensitivity and spatial resolution critically depend on the magnetic properties of MNP. Therefore, we used novel multicore nanoparticles (MCP 3) for in-vivo MPI in rats and analyzed dose requirements, sensitivity and detail resolution. 8 rats were examined using a preclinical MPI scanner (Bruker Biospin GmbH, Germany) equipped with a separate receive coil. MCP 3 and Resovist were administered intravenously (i.v.) into the rats’ tail veins at doses of 0.1, 0.05 and 0.025 mmol Fe/kg followed by serial MPI acquisition with a temporal resolution of 46 volumes per second. Based on a qualitative visual scoring system MCP 3–MPI images showed a significantly (P ≤ 0.05) higher image quality than Resovist-MPI images. Morphological features such as vessel lumen diameters (DL) of the inferior vena cava (IVC) and abdominal aorta (AA) could be assessed along a 2-cm segment in mesenteric area only after administration of MCP 3 at dosages of 0.1, 0.05 mmol Fe/kg. The mean DL ± SD estimated was 2.7 ± 0.6 mm for IVC and 2.4 ± 0.7 mm for AA. Evaluation of DL of the IVC and AA was not possible in Resovist-MPI images. Our results show, that MCP 3 provide better image quality at a lower dosage than Resovist. MCP 3-MPI with a clinically acceptable dose of 0.05 mmol Fe/kg increased the visibility of vessel lumens compared to Resovist-based MPI towards possible detection of vascular abnormalities such as stenosis or aneurysms, in vivo.

scholarly journals In vivo tracking and quantification of inhaled aerosol using magnetic particle imaging towards inhaled therapeutic monitoring

Theranostics ◽  
2018 ◽  
Vol 8 (13) ◽  
pp. 3676-3687 ◽  
Author(s):  
Zhi Wei Tay ◽  
Prashant Chandrasekharan ◽  
Xinyi Yedda Zhou ◽  
Elaine Yu ◽  
Bo Zheng ◽  
...  
Keyword(s):  
Magnetic Particle ◽  
Therapeutic Monitoring ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

scholarly journals Tracking Adoptive T Cell Therapy Using Magnetic Particle Imaging

2020 ◽  
Author(s):  
Angelie Rivera-Rodriguez ◽  
Lan B. Hoang-Minh ◽  
Andreina Chiu-Lam ◽  
Nicole Sarna ◽  
Leyda Marrero-Morales ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Solid Tumors ◽  
Magnetic Particle ◽  
Ex Vivo ◽  
Intraventricular Administration ◽  
Magnetic Particle Imaging ◽  
Particle Imaging ◽  
The Brain

ABSTRACTAdoptive cellular therapy (ACT) is a potent strategy to boost the immune response against cancer. ACT is an effective treatment for blood cancers, such as leukemias and lymphomas, but faces challenges treating solid tumors and cancers in locations like the brain. A critical step for success of ACT immunotherapy is achieving efficient trafficking of T cells to solid tumors, and the non-invasive and quantitative tracking of adoptively transferred T cell biodistribution would accelerate its development. Here, we demonstrate the use of Magnetic Particle Imaging (MPI) to non-invasively track ACT T cells in vivo. Labeling T cells with the superparamagnetic iron oxide nanoparticle tracer ferucarbotran did not affect T cell viability, phenotype, or cytotoxic function in vitro. Following ACT, ferucarbotran-labeled T cells were detected and quantified using MPI ex vivo and in vivo, in a mouse model of invasive brain cancer. Proof-of-principle in vivo MPI demonstrated its capacity to detect labeled T cells in lungs and liver after intravenous administration and to monitor T cell localization in the brain after intraventricular administration. Ex vivo imaging using MPI and optical imaging suggests accumulation of systemically administered ferucarbotran-labeled T cells in the brain, where MPI signal from ferucarbotran tracers and fluorescently tagged T cells were observed. Ex vivo imaging also suggest differential accumulation of nanoparticles and viable T cells in other organs like the spleen and liver. These results support the use of MPI to track adoptively transferred T cells and accelerate the development of ACT treatments for brain tumors and other cancers.

scholarly journals Abstract 2770: Imaging cancer immunology: Monitoring CD47 mAb treatment in vivo by magnetic particle imaging

2020 ◽  
Author(s):  
Gang Ren ◽  
Jeff M. Gaudet ◽  
Marco Gerosa ◽  
Yanrong Zhang ◽  
James Mansfield ◽  
...  
Keyword(s):  
Magnetic Particle ◽  
Cancer Immunology ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

scholarly journals Magnetic Particle Imaging-Guided Heating in Vivo Using Gradient Fields for Arbitrary Localization of Magnetic Hyperthermia Therapy

ACS Nano ◽  
2018 ◽  
Vol 12 (4) ◽  
pp. 3699-3713 ◽  
Author(s):  
Zhi Wei Tay ◽  
Prashant Chandrasekharan ◽  
Andreina Chiu-Lam ◽  
Daniel W. Hensley ◽  
Rohan Dhavalikar ◽  
...  
Keyword(s):  
Magnetic Particle ◽  
Magnetic Hyperthermia ◽  
Magnetic Particle Imaging ◽  
Hyperthermia Therapy ◽  
Gradient Fields ◽  
Particle Imaging

scholarly journals In vivo multimodal magnetic particle imaging (MPI) with tailored magneto/optical contrast agents

Biomaterials ◽  
2015 ◽  
Vol 52 ◽  
pp. 251-261 ◽  
Author(s):  
Hamed Arami ◽  
Amit P. Khandhar ◽  
Asahi Tomitaka ◽  
Elaine Yu ◽  
Patrick W. Goodwill ◽  
...  
Keyword(s):  
Contrast Agents ◽  
Magnetic Particle ◽  
Optical Contrast ◽  
Optical Contrast Agents ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

scholarly journals Development of Magnetic Particle Imaging (MPI) for Cell Tracking and Detection

2020 ◽  
Author(s):  
Kierstin P Melo ◽  
Ashley V Makela ◽  
Natasha N Knier ◽  
Amanda M Hamilton ◽  
Paula J Foster
Keyword(s):  
Iron Content ◽  
Cell Tracking ◽  
Magnetic Particle ◽  
Ex Vivo ◽  
Imaging Modality ◽  
Superparamagnetic Iron Oxide ◽  
Cell Injection ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

AbstractIntroductionMagnetic particle imaging (MPI) is a new imaging modality that sensitively and specifically detects superparamagnetic iron oxide nanoparticles (SPIONs) within a sample. SPION-based MRI cell tracking has very high sensitivity, but low specificity and quantification of iron labeled cells is difficult. MPI cell tracking could overcome these challenges.MethodsMDM-AB-231BR cells labeled with MPIO, mice were intracardially injected with either 2.5 × 105 or 5.0 × 105 cells. MRI was performed in vivo the same day at 3T using a bSSFP sequence. After mice were imaged ex vivo with MPI. In a second experiment Mice received an intracardiac injection of either 2.5 × 10 5 or 5 × 10 4 MPIO-labeled 231BR cells. In a third experiment, mice were injected with 5 × 10 4 4T1BR cells, labelled with either MPIO or the SPION Vivotrax. MRI and MPI was performed in vivo.ResultsSignal from MPI and signal voids from MRI both showed more iron content in mice receiving an injection of 5.0 × 105 cells than the 2.5 × 105 injection. In the second experiment, Day 0 MRI showed signal voids and MPI signal was detected in all mouse brains. The MPI signal and iron content measured in the brains of mice that were injected with 2.5 × 10 5 cells were approximately four times greater than in brains injected with 5 × 10 4 cells. In the third experiment, in vivo MRI was able to detect signal voids in the brains of mice injected with Vivotrax and MPIO, although voids were fainter in Vivotrax labeled cells. In vivo MPI signal was only detectable in mice injected with MPIO-labeled cells.ConclusionThis is the first example of the use of MPIO for cell tracking with MPI. With an intracardiac cell injection, approximately 15% of the injected cells are expected to arrest in the brain vasculature. For our lowest cell injection of 5.0 × 104 cells this is ∼10000 cells.

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