The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
‘Two is better than one’—probes for dual-modality molecular imaging
Abstract
Molecular or personalised medicine is the future of patient management and healthcare, and molecular imaging plays a key role towards this goal. However, amongst molecular imaging techniques, no single modality is perfect and sufficient to gain all the necessary information. For instance, optical fluorescence imaging is difficult to quantify--especially in tissue more than a few millimetres in depth within a subject; magnetic resonance imaging (MRI) has superb resolution but low sensitivity and positron emission tomography (PET) has very high sensitivity but poor resolution. The combination of multiple molecular imaging techniques can therefore offer synergistic advantages over any modality alone. However, the problem cannot be solved by simply adding two different classes of imaging probes together, unless they happen to have identical pharmacodynamic properties. Therefore, multi-modal contrast agents or imaging probes have been developed to solve this problem. Despite the great wealth of information that such probes can provide, their development is far from trivial and represents an important challenge to synthetic chemists. In this feature article, we provide an overview of recent findings in the synthesis, evaluation and application of dual-modality molecular imaging probes.
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Murray, C. B., Norris, D. J., & Bawendi, M. G. (1993) · Journal of the American Chemical Society · doi:10.1021/ja00072a025 · Cited by 9,282
Semiconductor Nanocrystals as Fluorescent Biological Labels
Bruchez, M., Moronne, M., Gin, P., Weiss, S., & Alivisatos, A. P. (1998) · Science · doi:10.1126/science.281.5385.2013 · Cited by 8,613
Quantum Dots for Live Cells, in Vivo Imaging, and Diagnostics
Michalet, X., Pinaud, F. F., Bentolila, L. A., Tsay, J. M., Doose, S., Li, J. J., Sundaresan, G., Wu, A. M., Gambhir, S. S., & Weiss, S. (2005) · Science · doi:10.1126/science.1104274 · Cited by 7,790
Quantum Dot Bioconjugates for Ultrasensitive Nonisotopic Detection
Chan, W. C. W., & Nie, S. (1998) · Science · doi:10.1126/science.281.5385.2016 · Cited by 7,278
In vivo cancer targeting and imaging with semiconductor quantum dots
Gao, X., Cui, Y., Levenson, R. M., Chung, L. W. K., & Nie, S. (2004) · Nature Biotechnology · doi:10.1038/nbt994 · Cited by 4,772
Gadolinium(III) Chelates as MRI Contrast Agents: Structure, Dynamics, and Applications
Caravan, P., Ellison, J. J., McMurry, T. J., & Lauffer, R. B. (1999) · Chemical Reviews · doi:10.1021/cr980440x · Cited by 4,483
Lewin, M., Carlesso, N., Tung, C.-H., Tang, X.-W., Cory, D., Scadden, D. T., & Weissleder, R. (2000) · Nature Biotechnology · doi:10.1038/74464 · Cited by 1,716
Strategies for increasing the sensitivity of gadolinium based MRI contrast agents
Caravan, P. (2006) · Chemical Society Reviews · doi:10.1039/b510982p · Cited by 1,438
Wang, Y.-X. J., Hussain, S. M., & Krestin, G. P. (2001) · European Radiology · doi:10.1007/s003300100908 · Cited by 1,381
Nanocrystalline Semiconductors: Synthesis, Properties, and Perspectives
Trindade, T., O'Brien, P., & Pickett, N. L. (2001) · Chemistry of Materials · doi:10.1021/cm000843p · Cited by 1,264
Cited by
Multimodality Imaging Probes: Design and Challenges
Louie, A. (2010) · Chemical Reviews · doi:10.1021/cr9003538 · Cited by 1,044
PET-MR and SPECT-MR multimodality probes: Development and challenges
Yang, C.-T., Ghosh, K. K., Padmanabhan, P., Langer, O., Liu, J., Eng, D. N. C., Halldin, C., & Gulyás, B. (2018) · Theranostics · doi:10.7150/thno.26610 · Cited by 101
Metadata
- Authors
- Jennings, L. E., & Long, N. J.
- Venue
- Chemical Communications
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2009
- Issue
- 24
- Pages
- 3511
- ISSN
- 1359-7345 (ISSN-L)
- 1364-548X
- OpenAlex
- W2052187359
- Cited by
- 438
- References
- 86
- FWCI
- 15.55
- Type
- journal article
- Language
- en
- Open access
- closed
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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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