The DOI matches its Crossref record; 134 of the 134 references it cites were found in a registry or an index.
Nanoparticle contrast agents for computed tomography: a focus on micelles
Open accessAbstract
Computed tomography (CT) is an X‐ray‐based whole‐body imaging technique that is widely used in medicine. Clinically approved contrast agents for CT are iodinated small molecules or barium suspensions. Over the past seven years there has been a great increase in the development of nanoparticles as CT contrast agents. Nanoparticles have several advantages over small molecule CT contrast agents, such as long blood‐pool residence times and the potential for cell tracking and targeted imaging applications. Furthermore, there is a need for novel CT contrast agents, owing to the growing population of renally impaired patients and patients hypersensitive to iodinated contrast. Micelles and lipoproteins, a micelle‐related class of nanoparticle, have notably been adapted as CT contrast agents. In this review we discuss the principles of CT image formation and the generation of CT contrast. We discuss the progress in developing nontargeted, targeted and cell tracking nanoparticle CT contrast agents. We feature agents based on micelles and used in conjunction with spectral CT. The large contrast agent doses needed will necessitate careful toxicology studies prior to clinical translation. However, the field has seen tremendous advances in the past decade and we expect many more advances to come in the next decade. Copyright © 2014 John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Daniel, M.-C., & Astruc, D. (2004) · Chemical Reviews · doi:10.1021/cr030698+ · Cited by 12,446
Nanocarriers as an emerging platform for cancer therapy
Peer, D., Karp, J. M., Hong, S., Farokhzad, O. C., Margalit, R., & Langer, R. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.387 · Cited by 8,710
Quantum dot bioconjugates for imaging, labelling and sensing
Medintz, I. L., Uyeda, H. T., Goldman, E. R., & Mattoussi, H. (2005) · Nature Materials · doi:10.1038/nmat1390 · Cited by 6,229
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
The golden age: gold nanoparticles for biomedicine
Dreaden, E. C., Alkilany, A. M., Huang, X., Murphy, C. J., & El-Sayed, M. A. (2012) · Chem. Soc. Rev. · doi:10.1039/c1cs15237h · Cited by 3,550
Long-Circulating and Target-Specific Nanoparticles: Theory to Practice
Moghimi, S. M., Hunter, A. C., & Murray, J. C. (2001) · Pharmacological Reviews · doi:10.1016/s0031-6997(24)01494-7 · Cited by 3,515
Anisotropic Metal Nanoparticles: Synthesis, Assembly, and Optical Applications
Murphy, C. J., Sau, T. K., Gole, A. M., Orendorff, C. J., Gao, J., Gou, L., Hunyadi, S. E., & Li, T. (2005) · The Journal of Physical Chemistry B · doi:10.1021/jp0516846 · Cited by 3,085
Naghavi, M., Libby, P., Falk, E., Casscells, S. W., Litovsky, S., Rumberger, J., Badimon, J. J., Stefanadis, C., Moreno, P., Pasterkamp, G., et al. (2003) · Circulation · doi:10.1161/01.cir.0000087481.55887.c9 · Cited by 2,668
Self-citationWet Chemical Synthesis of High Aspect Ratio Cylindrical Gold Nanorods
Jana, N. R., Gearheart, L., & Murphy, C. J. (2001) · The Journal of Physical Chemistry B · doi:10.1021/jp0107964 · Cited by 2,544
Graphene in Mice: Ultrahigh In Vivo Tumor Uptake and Efficient Photothermal Therapy
Yang, K., Zhang, S., Zhang, G., Sun, X., Lee, S.-T., & Liu, Z. (2010) · Nano Letters · doi:10.1021/nl100996u · Cited by 2,407
Cited by
Lipid-Based Nanoparticles: Application and Recent Advances in Cancer Treatment
García-Pinel, B., Porras-Alcalá, C., Ortega-Rodríguez, A., Sarabia, F., Prados, J., Melguizo, C., & López-Romero, J. M. (2019) · Nanomaterials · doi:10.3390/nano9040638 · Cited by 527
Polymeric Nanostructures for Imaging and Therapy
Elsabahy, M., Heo, G. S., Lim, S.-M., Sun, G., & Wooley, K. L. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00135 · Cited by 508
Recent advances and future prospects of iron oxide nanoparticles in biomedicine and diagnostics
Vallabani, N. V. S., & Singh, S. (2018) · 3 Biotech · doi:10.1007/s13205-018-1286-z · Cited by 322
Zheng, B., von See, M. P., Yu, E., Gunel, B., Lu, K., Vazin, T., Schaffer, D. V., Goodwill, P. W., & Conolly, S. M. (2016) · Theranostics · doi:10.7150/thno.13728 · Cited by 322
Advantages and Limitations of Current Techniques for Analyzing the Biodistribution of Nanoparticles
Arms, L., Smith, D. W., Flynn, J., Palmer, W., Martin, A., Woldu, A., & Hua, S. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.00802 · Cited by 159
Metadata
- Authors
- Cormode, D. P., Naha, P. C., & Fayad, Z. A.
- Venue
- Contrast Media & Molecular Imaging
- Publisher
- Wiley
- Published
- 2014-01
- Volume
- 9
- Issue
- 1
- Pages
- 37-52
- ISSN
- 1555-4309 (ISSN-L)
- 1555-4317
- OpenAlex
- W1496488359
- Cited by
- 362
- References
- 134
- FWCI
- 11.26
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Nanoparticle contrast agents for computed tomography: a focus on micelles. https://app.cochat.ai/papers/10.1002/cmmi.1551
- The paper
- Cormode, D. P., Naha, P. C., & Fayad, Z. A. (2014). Nanoparticle contrast agents for computed tomography: a focus on micelles. Contrast Media & Molecular Imaging. https://doi.org/10.1002/cmmi.1551
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
