The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Cancer theranostics: the rise of targeted magnetic nanoparticles
Open accessAbstract
Interest in utilizing magnetic nanoparticles (MNP) for biomedical applications has grown considerably over the past two decades. This excitement is driven in large part by the success of MNPs as contrast agents in magnetic resonance imaging (MRI). The recent investigative trend with respect to cancer has continued down a diagnostic path, but has also turned toward concurrent therapy – giving rise to the distinction of MNPs as potential “theranostics”. Here we review both the key technical principles of MNPs and the ongoing advancement toward a cancer theranostic MNP. Recent progress in diagnostics, hyperthermia treatments, and drug delivery are all considered. We conclude by identifying current barriers to clinical translation of MNPs and offer considerations for their future development.
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Cites
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Mesoporous silica nanoparticles in biomedical applications
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Nanoparticles as drug delivery systems
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Iron oxide nanoparticles: Diagnostic, therapeutic and theranostic applications
Dadfar, S. M., Roemhild, K., Drude, N. I., von Stillfried, S., Knüchel, R., Kiessling, F., & Lammers, T. (2019) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2019.01.005 · Cited by 1,181
Smart nanocarrier-based drug delivery systems for cancer therapy and toxicity studies: A review
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Tuning the Magnetic Properties of Nanoparticles
Kolhatkar, A., Jamison, A., Litvinov, D., Willson, R., & Lee, T. (2013) · International Journal of Molecular Sciences · doi:10.3390/ijms140815977 · Cited by 820
Metadata
- Authors
- Cole, A. J., Yang, V. C., & David, A. E.
- Venue
- Trends in Biotechnology
- Publisher
- Elsevier BV
- Published
- 2011-07
- Volume
- 29
- Issue
- 7
- Pages
- 323-332
- ISSN
- 0167-7799 (ISSN-L)
- OpenAlex
- W2013292515
- Cited by
- 425
- References
- 78
- FWCI
- 2.32
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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