The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Positron emission tomography and nanotechnology: A dynamic duo for cancer theranostics
Open accessAbstract
&NA; Development of novel imaging probes for cancer diagnosis is critical for early disease detection and management. The past two decades have witnessed a surge in the development and evolution of radiolabeled nanoparticles as a new frontier in personalized cancer nanomedicine. The dynamic synergism of positron emission tomography (PET) and nanotechnology combines the sensitivity and quantitative nature of PET with the multifunctionality and tunability of nanomaterials, which can help overcome certain key challenges in the field. In this review, we discuss the recent advances in radionanomedicine, exemplifying the ability to tailor the physicochemical properties of nanomaterials to achieve optimal in vivo pharmacokinetics and targeted molecular imaging in living subjects. Innovations in development of facile and robust radiolabeling strategies and biomedical applications of such radionanoprobes in cancer theranostics are highlighted. Imminent issues in clinical translation of radiolabeled nanomaterials are also discussed, with emphasis on multidisciplinary efforts needed to quickly move these promising agents from bench to bedside.
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Laurent, S., Forge, D., Port, M., Roch, A., Robic, C., Vander Elst, L., & Muller, R. N. (2008) · Chemical Reviews · doi:10.1021/cr068445e · Cited by 6,852
Renal clearance of quantum dots
Soo Choi, H., Liu, W., Misra, P., Tanaka, E., Zimmer, J. P., Itty Ipe, B., Bawendi, M. G., & Frangioni, J. V. (2007) · Nature Biotechnology · doi:10.1038/nbt1340 · Cited by 4,476
An overview of nanoparticles commonly used in fluorescent bioimaging
Wolfbeis, O. S. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00392f · Cited by 1,631
A route to brightly fluorescent carbon nanotubes for near-infrared imaging in mice
Welsher, K., Liu, Z., Sherlock, S. P., Robinson, J. T., Chen, Z., Daranciang, D., & Dai, H. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.294 · Cited by 1,287
Lee, N., & Hyeon, T. (2012) · Chem. Soc. Rev. · doi:10.1039/c1cs15248c · Cited by 995
Multifunctional magnetic nanoparticles for targeted imaging and therapy
MCCARTHY, J., & WEISSLEDER, R. (2008) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2008.03.014 · Cited by 892
Clinical applications of magnetic nanoparticles for hyperthermia
Thiesen, B., & Jordan, A. (2008) · International Journal of Hyperthermia · doi:10.1080/02656730802104757 · Cited by 829
Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy
Pérez-Medina, C., Abdel-Atti, D., Tang, J., Zhao, Y., Fayad, Z. A., Lewis, J. S., Mulder, W. J. M., & Reiner, T. (2016) · Nature Communications · doi:10.1038/ncomms11838 · Cited by 128
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Ali, A., Shah, T., Ullah, R., Zhou, P., Guo, M., Ovais, M., Tan, Z., & Rui, Y. (2021) · Frontiers in Chemistry · doi:10.3389/fchem.2021.629054 · Cited by 650
Yang, B., Chen, Y., & Shi, J. (2019) · Advanced Materials · doi:10.1002/adma.201901778 · Cited by 601
Precise nanomedicine for intelligent therapy of cancer
Chen, H., Gu, Z., An, H., Chen, C., Chen, J., Cui, R., Chen, S., Chen, W., Chen, X., Chen, X., et al. (2018) · Science China Chemistry · doi:10.1007/s11426-018-9397-5 · Cited by 409
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Neurotheranostics as Personalized Medicines
Kevadiya, B. D., Ottemann, B. M., Thomas, M. B., Mukadam, I., Nigam, S., McMillan, J., Gorantla, S., Bronich, T. K., Edagwa, B., & Gendelman, H. E. (2019) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.10.011 · Cited by 124
Metadata
- Authors
- Goel, S., England, C. G., Chen, F., & Cai, W.
- Venue
- Advanced Drug Delivery Reviews
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 113
- Pages
- 157-176
- ISSN
- 0169-409X (ISSN-L)
- OpenAlex
- W2476606909
- Cited by
- 206
- References
- 8
- FWCI
- 3.54
- Type
- journal article
- Language
- en
- Open access
- green
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