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Cited by 366

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Magnetic Particle Imaging: A Novel in Vivo Imaging Platform for Cancer Detection

Open access
Yu, Elaine Y., Bishop, Mindy, Zheng, Bo, Ferguson, R. Matthew, Khandhar, Amit P., Kemp, Scott J., Krishnan, Kannan M., Goodwill, Patrick W., Conolly, Steven M.·2017·Nano Letters

Abstract

Cancer remains one of the leading causes of death worldwide. Biomedical imaging plays a crucial role in all phases of cancer management. Physicians often need to choose the ideal diagnostic imaging modality for each clinical presentation based on complex trade-offs among spatial resolution, sensitivity, contrast, access, cost, and safety. Magnetic particle imaging (MPI) is an emerging tracer imaging modality that detects superparamagnetic iron oxide (SPIO) nanoparticle tracer with high image contrast (zero tissue background signal), high sensitivity (200 nM Fe) with linear quantitation, and zero signal depth attenuation. MPI is also safe in that it uses safe, in some cases even clinically approved, tracers and no ionizing radiation. The superb contrast, sensitivity, safety, and ability to image anywhere in the body lends MPI great promise for cancer imaging. In this study, we show for the first time the use of MPI for in vivo cancer imaging with systemic tracer administration. Here, long circulating MPI-tailored SPIOs were created and administered intravenously in tumor bearing rats. The tumor was highlighted with tumor-to-background ratio of up to 50. The nanoparticle dynamics in the tumor was also well-appreciated, with initial wash-in on the tumor rim, peak uptake at 6 h, and eventual clearance beyond 48 h. Lastly, we demonstrate the quantitative nature of MPI through compartmental fitting in vivo.

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Metadata

Authors
Yu, E. Y., Bishop, M., Zheng, B., Ferguson, R. M., Khandhar, A. P., Kemp, S. J., Krishnan, K. M., Goodwill, P. W., & Conolly, S. M.
Venue
Nano Letters
Published
2017-02-21
Volume
17
Issue
3
Pages
1648-1654
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2588306107
Cited by
366
References
45
FWCI
12.92
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Magnetic Particle Imaging: A Novel in Vivo Imaging Platform for Cancer Detection. https://app.cochat.ai/papers/10.1021/acs.nanolett.6b04865
The paper
Yu, E. Y., Bishop, M., Zheng, B., Ferguson, R. M., Khandhar, A. P., Kemp, S. J., Krishnan, K. M., Goodwill, P. W., & Conolly, S. M. (2017). Magnetic Particle Imaging: A Novel in Vivo Imaging Platform for Cancer Detection. Nano Letters. https://doi.org/10.1021/acs.nanolett.6b04865

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.