The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Theranostics: Combining Imaging and Therapy
Abstract
Employing theranostic nanoparticles, which combine both therapeutic and diagnostic capabilities in one dose, has promise to propel the biomedical field toward personalized medicine. This review presents an overview of different theranostic strategies developed for the diagnosis and treatment of disease, with an emphasis on cancer. Herein, therapeutic strategies such as nucleic acid delivery, chemotherapy, hyperthermia (photothermal ablation), photodynamic, and radiation therapy are combined with one or more imaging functionalities for both in vitro and in vivo studies. Different imaging probes, such as MRI contrast agents (T(1) and T(2) agents), fluorescent markers (organic dyes and inorganic quantum dots), and nuclear imaging agents (PET/SPECT agents), can be decorated onto therapeutic agents or therapeutic delivery vehicles in order to facilitate their imaging and, in so doing, gain information about the trafficking pathway, kinetics of delivery, and therapeutic efficacy; several such strategies are outlined. The creative approaches being developed for these classes of therapies and imaging modalities are discussed, and the recent developments in this field along with examples of technologies that hold promise for the future of cancer medicine are highlighted.
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Cites
Factors affecting the clearance and biodistribution of polymeric nanoparticles
Alexis, F., Pridgen, E., Molnar, L. K., & Farokhzad, O. C. (2008) · Molecular Pharmaceutics · doi:10.1021/mp800051m · Cited by 3,699
Multifunctional polymeric micelles as cancer-targeted, MRI-ultrasensitive drug delivery systems
Nasongkla, N., Bey, E., Ren, J., Ai, H., Khemtong, C., Guthi, J. S., Chin, S.-F., Sherry, A. D., Boothman, D. A., & Gao, J. (2006) · Nano Letters · doi:10.1021/nl061412u · Cited by 1,238
Reubi, J. C., Schär, J.-C., Waser, B., Wenger, S., Heppeler, A., Schmitt, J. S., & Mäcke, H. R. (2000) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s002590050034 · Cited by 1,127
In vivo imaging of siRNA delivery and silencing in tumors
Medarova, Z., Pham, W., Farrar, C., Petkova, V., & Moore, A. (2007) · Nature Medicine · doi:10.1038/nm1486 · Cited by 697
Cited by
Nicolas, J., Mura, S., Brambilla, D., Mackiewicz, N., & Couvreur, P. (2013) · Chem. Soc. Rev. · doi:10.1039/c2cs35265f · Cited by 1,270
Ge, Z., & Liu, S. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60048c · Cited by 914
Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine
Adir, O., Poley, M., Chen, G., Froim, S., Krinsky, N., Shklover, J., Shainsky‐Roitman, J., Lammers, T., & Schroeder, A. (2020) · Advanced Materials · doi:10.1002/adma.201901989 · Cited by 496
A holistic approach to targeting disease with polymeric nanoparticles
Cheng, C. J., Tietjen, G. T., Saucier-Sawyer, J. K., & Saltzman, W. M. (2015) · Nature Reviews Drug Discovery · doi:10.1038/nrd4503 · Cited by 480
Vieira, D., & Gamarra, L. (2016) · International Journal of Nanomedicine · doi:10.2147/ijn.s117210 · Cited by 427
Metadata
- Authors
- Kelkar, S. S., & Reineke, T. M.
- Venue
- Bioconjugate Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-08-29
- Volume
- 22
- Issue
- 10
- Pages
- 1879-1903
- ISSN
- 1043-1802 (ISSN-L)
- 1520-4812
- OpenAlex
- W1982823397
- Cited by
- 1,385
- References
- 4
- FWCI
- 47.22
- Type
- journal article
- Language
- en
- Open access
- closed
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