ArticleMolecular imaging and biology2020
Magnetic Particle Imaging of Macrophages Associated with Cancer: Filling the Voids Left by Iron-Based Magnetic Resonance Imaging.
Article in Molecular imaging and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed, 71 citations in OpenAlex.
- Magnetic particle imaging tracers for human applications: preclinical in vivo evaluation of Magtrace, Resotran, and FerroTrace.Npj imaging · 2026Article
- Magnetic Particle Imaging for Pulmonary Applications: Technological Advances, Biological Insights, and Clinical Translation.Bioengineering (Basel, Switzerland) · 2026Review
- Imaging of Artificial Tumor Models in an Anatomical Breast Phantom with a Single-Sided Magnetic Particle Imaging Scanner.Tomography (Ann Arbor, Mich.) · 2026Article
- Magnetic Particle Imaging in Human Subjects.Research square · 2026Article
- Nanoparticle retention enables non-invasive detection of metastases by magnetic particle imaging in murine breast cancer models.Theranostics · 2026Article
- Cardiovascular Imaging Applications, Implementations, and Challenges Using Novel Magnetic Particle Imaging.Bioengineering (Basel, Switzerland) · 2025Review
- On the effect of reference and sample volume on magnetic particle imaging quantification.Journal of magnetism and magnetic materials · 2025Article
- Technology Roadmap of Micro/Nanorobots.ACS nano · 2025Review
- Microfluidic formulation and characterization of size-tunable microparticle magnetic particle imaging tracers.Journal of magnetism and magnetic materials · 2025Article
- Spillover can limit accurate signal quantification in MPI.Npj imaging · 2025Article
- Noninvasive in vivo imaging of macrophages: understanding tumor microenvironments and delivery of therapeutics.Biomarker research · 2025Review
- Magnetic Particle Imaging Reveals that Iron-Labeled Extracellular Vesicles Accumulate in Brains of Mice with Metastases.ACS applied materials & interfaces · 2024Article
- Inter-user Comparison for Quantification of Superparamagnetic Iron Oxides with Magnetic Particle Imaging Across Two Institutions Highlights a Need for Standardized Approaches.Molecular imaging and biology · 2023Article
- Carbon Coated Iron-Cobalt Nanoparticles for Magnetic Particle Imaging.ACS applied bio materials · 2023Article
- Nanoparticles in Cancer Diagnosis and Treatment.Materials (Basel, Switzerland) · 2023Review
- Inter-user comparison for quantification of superparamagnetic iron oxides with magnetic particle imaging across two institutions highlights a need for standardized approaches.bioRxiv : the preprint server for biology · 2023Article
- The Role of Exosomes in Pancreatic Ductal Adenocarcinoma Progression and Their Potential as Biomarkers.Cancers · 2023Review
- IONPs-Based Medical Imaging in Cancer Care: Moving Beyond Traditional Diagnosis and Therapeutic Assessment.International journal of nanomedicine · 2023Review
- Targeting Tumor-Associated Macrophages for Imaging.Pharmaceutics · 2022Review
- Indocyanine Green-Conjugated Superparamagnetic Iron Oxide Nanoworm for Multimodality Breast Cancer Imaging.ACS applied nano materials · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
purposeMagnetic particle imaging (MPI) is an emerging molecular imaging technique that directly detects iron nanoparticles distributed in living subjects. Compared with imaging iron with magnetic resonance imaging (MRI), MPI signal can be measured to determine iron content in specific regions. In this paper, the detection of iron-labeled macrophages associated with cancer by MRI and MPI was compared. PROCEDURES: Imaging was performed on 4T1 tumor-bearing mice 16-21 days post-cancer cell implantation, 24 h after intravenous injection of Ferucarbotran, a superparamagnetic iron oxide (SPIO) or Ferumoxytol, an ultra-small SPIO. Images of living mice were acquired on a 3T clinical MRI (General Electric, n = 6) or MPI (Magnetic Insight, n = 10) system. After imaging, tumors and lungs were removed, imaged by MPI and examined by histology.
resultsMRI signal voids were observed within all tumors. In vivo, MPI signals were observed in the tumors of 4 of 5 mice after the administration of each contrast agent and in all excised tumors. Signal voids visualized by MRI were more apparent in tumors of mice injected with Ferumoxytol than those that received Ferucarbotran; this was consistent with iron content measured by MPI. Signal voids relating to macrophage uptake of iron were not detected in lungs by MRI, since air also appears hypointense. In vivo, MPI could not differentiate between iron in the lungs vs the high signal from iron in the liver. However, once the lungs were excised, MPI signal was detectable and quantifiable. Histologic examination confirmed iron within macrophages present in the tumors.
conclusionsMPI provides quantitative information on in vivo iron labeling of macrophages that is not attainable with MRI. The optimal iron nanoparticle for MPI in general is still under investigation; however, for MPI imaging of macrophages labeled in vivo by intravenous administration, Ferumoxytol nanoparticles were superior to Ferucarbotran.
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