scholarly journals SPIO processing in macrophages for MPI: The breast cancer MPI-SNLB-concept

2015 ◽  
Vol 1 (1) ◽  
pp. 558-564
Author(s):  
Dominique Finas ◽  
Stegmann-Frehse Janine ◽  
Sauer Benjamin ◽  
Hüttmann Gereon ◽  
Rody Achim ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Culture Medium ◽  
Multiphoton Microscopy ◽  
Superparamagnetic Iron Oxide ◽  
Lymph Node Biopsy ◽  
Magnetic Particle Imaging ◽  
Tumor Mouse Model ◽  
Magnetic Resonance Imaging Mri ◽  
Particle Imaging

AbstractIntroductionBreast cancer (BC) is the most common cancer in women worldwide. We aim to develop a new sentinel lymph node biopsy (SLNB) method with superparamagnetic iron oxide nanoparticles (SPIOs) and magnetic particle imaging (MPI) in BC to avoid tissue damaging while axillary surgery. As we know from i.v. SPIO application in magnetic resonance imaging (MRI), macrophages (MP) are key role player in processing of SPIOs (e.g. in liver) causing a drop of signal intensity. But, knowledge lacks concerning enrichment processes of SPIOs after injection in breast tissue, the adjacent lymphatic tissues and associated cells, especially in BC and metastatic lymph nodes. We already evaluated the distribution of SPIOs in an in vivo healthy and tumor mouse model. Based on these studies we investigate the processing of the SPIOs in MP.Material and MethodsTo evaluate SPIO processing, a mouse MP cell line J774A.1 was incubated either by Resovist in culture medium (RPMI, FBS), or culture medium only as control. MP were than analyzed by transmission electron microscopy (TEM). Additionally, this process was observed in vivo by multiphoton microscopy. Detection of SPIOs was realized by excitation at 1200 nm.ResultsResovist had no toxic effects on cells.MP showed activity in phagocytosis of Resovist after incubation in TEM as well as in multiphoton microscopy. SPIOs were detectable within intracellular vesicles by TEM and 3-photon process. The first cell associated SPIO signal was detected after 1,5 min of incubation by in vivo imaging.ConclusionTo our knowledge this is the first time a 3-photon device was used to image SPIOs in a bio-medical context. System wide scanning is known (MRI, MPI), but nowwe are also able to identify the link to subcellular processing and localization of SPIOs. Further processing of SPIOs in MP is under development.

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.

scholarly journals Sight and switch off: Nerve density visualization for interventions targeting nerves in prostate cancer

2020 ◽  
Vol 6 (6) ◽  
pp. eaax6040 ◽  
Author(s):  
Huijuan You ◽  
Wenting Shang ◽  
Xiangde Min ◽  
Jeffrey Weinreb ◽  
Qiubai Li ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Superparamagnetic Iron Oxide ◽  
High Sensitivity ◽  
High Specificity ◽  
Therapeutic Interventions ◽  
Magnetic Particle Imaging ◽  
Potential Basis ◽  
Peptide Nanoparticles ◽  
Particle Imaging

Nerve density is associated with prostate cancer (PCa) aggressiveness and prognosis. Thus far, no visualization methods have been developed to assess nerve density of PCa in vivo. We compounded propranolol-conjugated superparamagnetic iron oxide nerve peptide nanoparticles (PSN NPs), which achieved the nerve density visualization of PCa with high sensitivity and high specificity, and facilitated assessment of nerve density and aggressiveness of PCa using magnetic resonance imaging and magnetic particle imaging. Moreover, PSN NPs facilitated targeted therapy for PCa. PSN NPs increased the survival rate of mice with orthotopic PCa to 83.3% and decreased nerve densities and proliferation indexes by more than twofold compared with the control groups. The present study, thus, developed a technology to visualize the nerve density of PCa and facilitate targeted neural drug delivery to tumors to efficiently inhibit PCa progression. Our study provides a potential basis for clinical imaging and therapeutic interventions targeting nerves in PCa.

scholarly journals The sensitivity of magnetic particle imaging and fluorine-19 magnetic resonance imaging for cell tracking

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Olivia C. Sehl ◽  
Paula J. Foster
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Cell Tracking ◽  
Magnetic Particle ◽  
Ex Vivo ◽  
Cell Detection ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

AbstractMagnetic particle imaging (MPI) and fluorine-19 (19F) MRI produce images which allow for quantification of labeled cells. MPI is an emerging instrument for cell tracking, which is expected to have superior sensitivity compared to 19F MRI. Our objective is to assess the cellular sensitivity of MPI and 19F MRI for detection of mesenchymal stem cells (MSC) and breast cancer cells. Cells were labeled with ferucarbotran or perfluoropolyether, for imaging on a preclinical MPI system or 3 Tesla clinical MRI, respectively. Using the same imaging time, as few as 4000 MSC (76 ng iron) and 8000 breast cancer cells (74 ng iron) were reliably detected with MPI, and 256,000 MSC (9.01 × 1016 19F atoms) were detected with 19F MRI, with SNR > 5. MPI has the potential to be more sensitive than 19F MRI for cell tracking. In vivo sensitivity with MPI and 19F MRI was evaluated by imaging MSC that were administered by different routes. In vivo imaging revealed reduced sensitivity compared to ex vivo cell pellets of the same cell number. We attribute reduced MPI and 19F MRI cell detection in vivo to the effect of cell dispersion among other factors, which are described.

scholarly journals The sensitivity of magnetic particle imaging and fluorine-19 magnetic resonance imaging for cell tracking

2021 ◽  
Author(s):  
Olivia C. Sehl ◽  
Paula J. Foster
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Cell Tracking ◽  
Magnetic Particle ◽  
Ex Vivo ◽  
Cell Detection ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

AbstractPurposeMagnetic particle imaging (MPI) and fluorine-19 (19F) MRI produce images which allow for quantification of labeled cells. MPI is an emerging instrument for cell tracking, which is expected to have superior sensitivity compared to 19F MRI. Our objective is to assess the cellular sensitivity of MPI and 19F MRI for detection of mesenchymal stem cells (MSC) and breast cancer cells.MethodsCells were labeled with ferucarbotran or perfluoropolyether, for imaging on a preclinical MPI system or 3 Tesla clinical MRI, respectively. In vivo sensitivity with MPI and 19F MRI was evaluated by imaging MSC that were administered by different routes.ResultsUsing the same imaging time, as few as 4000 MSC (76 ng iron) and 8000 breast cancer cells (74 ng iron) were reliably detected with MPI, and 256,000 MSC (9.01 × 101619F atoms) were detected with 19F MRI, with SNR > 5. In vivo imaging revealed reduced sensitivity compared to ex vivo cell pellets of the same cell number.ConclusionMPI has the potential to be more sensitive than 19F MRI for cell tracking. We attribute reduced MPI and 19F MRI cell detection in vivo to the effect of cell dispersion among other factors, which are described.

scholarly journals The Reconstruction of Magnetic Particle Imaging: Current Approaches Based on the System Matrix

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 773
Author(s):  
Xiaojun Chen ◽  
Zhenqi Jiang ◽  
Xiao Han ◽  
Xiaolin Wang ◽  
Xiaoying Tang
Keyword(s):  
Magnetic Particle ◽  
Clinical Medicine ◽  
Practical Importance ◽  
Superparamagnetic Iron Oxide ◽  
Matrix Transformations ◽  
System Matrix ◽  
Magnetic Particle Imaging ◽  
Reconstruction Methods ◽  
Spatial Coverage ◽  
Particle Imaging

Magnetic particle imaging (MPI) is a novel non-invasive molecular imaging technology that images the distribution of superparamagnetic iron oxide nanoparticles (SPIONs). It is not affected by imaging depth, with high sensitivity, high resolution, and no radiation. The MPI reconstruction with high precision and high quality is of enormous practical importance, and many studies have been conducted to improve the reconstruction accuracy and quality. MPI reconstruction based on the system matrix (SM) is an important part of MPI reconstruction. In this review, the principle of MPI, current construction methods of SM and the theory of SM-based MPI are discussed. For SM-based approaches, MPI reconstruction mainly has the following problems: the reconstruction problem is an inverse and ill-posed problem, the complex background signals seriously affect the reconstruction results, the field of view cannot cover the entire object, and the available 3D datasets are of relatively large volume. In this review, we compared and grouped different studies on the above issues, including SM-based MPI reconstruction based on the state-of-the-art Tikhonov regularization, SM-based MPI reconstruction based on the improved methods, SM-based MPI reconstruction methods to subtract the background signal, SM-based MPI reconstruction approaches to expand the spatial coverage, and matrix transformations to accelerate SM-based MPI reconstruction. In addition, the current phantoms and performance indicators used for SM-based reconstruction are listed. Finally, certain research suggestions for MPI reconstruction are proposed, expecting that this review will provide a certain reference for researchers in MPI reconstruction and will promote the future applications of MPI in clinical medicine.

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.

Sensitive and Specific Detection of Breast Cancer Lymph Node Metastasis Through Dual-Modality Magnetic Particle Imaging and Fluorescence Molecular Imaging: a Preclinical Evaluation

2021 ◽  
Author(s):  
Guorong Wang ◽  
Guangyuan Shi ◽  
Yu Tian ◽  
Lingyan Kong ◽  
Ning Ding ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Magnetic Particle ◽  
Cancer Targeting ◽  
Node Metastasis ◽  
Magnetic Particle Imaging ◽  
Particle Imaging ◽  
Fluorescence Molecular Imaging ◽  
Biosafety Evaluation

Abstract Purpose: A sensitive and specific imaging method to detect metastatic cancer cells in lymph nodes (LNs) to detect the early-stage breast cancer is urgently needed. The purpose of this study was to investigate a novel breast cancer-targeting and tumour microenvironment ATP-responsive superparamagnetic iron oxide (SPIOs) imaging probe that was developed to detect lymph node metastasis (LNMs) through fluorescence molecular imaging (FMI) and magnetic particle imaging (MPI). The imaging nanoprobe comprised of SPIOs conjugated with breast cancer-targeting peptides (CREKA) and an ATP-responsive DNA aptamer (dsDNA-Cy5.5), abbreviated as SPIOs@A-T. Methods: SPIOs@A-T was synthesised and characterized for its imaging properties, targeting ability and toxicity in vitro. Mice with metastatic lymph node (MLN) of breast cancer were established to evaluate the FMI and MPI imaging strategy in vivo. Healthy mice with normal lymph node (NLN) were used as control group. Histological examination and biosafety evaluation were performed for further assessment. Results: After injection with SPIO@A-T, the obvious high fluorescent intensity and MPI signal were observed in MLN group than those in NLN group. MPI could also complement the limitation of imaging depth from FMI, thus could detect MLN more sensitively. The combination of the imaging strengths of FMI and MPI ensured the detection of breast cancer metastases with high sensitivity and specificity, thereby facilitating the precision differentiation of malignant from benign LNs. Besides, the biosafety evaluation results showed SPIO@A-T had good biocompatibility. Conclusion: Due to the superior properties of tumour-targeting, detection specificity, and biosafety, the SPIOs@A-T imaging probe in combination with FMI and MPI can provide a promising novel method for the early and precise detection of LNMs in clinical practice.

scholarly journals Intracellular dynamics of superparamagnetic iron oxide nanoparticles for magnetic particle imaging

Nanoscale ◽  
2019 ◽  
Vol 11 (16) ◽  
pp. 7771-7780 ◽  
Author(s):  
Eric Teeman ◽  
Carolyn Shasha ◽  
James E. Evans ◽  
Kannan M. Krishnan
Keyword(s):  
Iron Oxide ◽  
Iron Oxide Nanoparticles ◽  
Environmental Conditions ◽  
Magnetic Particle ◽  
Superparamagnetic Iron Oxide ◽  
Superparamagnetic Iron Oxide Nanoparticles ◽  
Oxide Nanoparticles ◽  
Magnetic Response ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

An examination of the effects of intracellular environmental conditions on the dynamic magnetic response of superparamagnetic iron oxide nanoparticles.

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