The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
In Vitro and in Vivo Studies of FePt Nanoparticles for Dual Modal CT/MRI Molecular Imaging
Abstract
The water-solvable FePt nanoparticles of 3, 6, and 12 nm in diameter (3 nm-, 6 nm-, and 12 nm-FePt) were synthesized and applied as a dual modality contrast agent for CT/MRI molecular imaging. These nanoparticles present excellent biocompatibility and hemocompatibility in all test concentrations for the imaging contrast. The biodistribution analysis revealed the highest serum concentration and circulation half-life for 12 nm-FePt, followed by 6 nm-FePt then 3 nm-FePt. Thus, the 3 nm-FePt showed higher brain concentrations. Anti-Her2 antibody conjugated FePt nanoparticles demonstrated molecular expression dependent CT/MRI dual imaging contrast effect in MBT2 cell line and its Her2/neu gene knock out counterpart. Selective contrast enhancement of Her2/neu overexpression cancer lesions in both CT and MRI was found in tumor bearing animal after tail vein injection of the nanoparticles. The 12 nm-FePt outperformed 3 nm-FePt in both imaging modalities. These results indicate the potential of FePt nanoparticles to serve as novel multimodal molecular imaging contrast agents in clinical settings.
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
Multifunctional Magnetic Nanoparticles: Design, Synthesis, and Biomedical Applications
Gao, J., Gu, H., & Xu, B. (2009) · Accounts of Chemical Research · doi:10.1021/ar9000026 · Cited by 1,907
One-Step Synthesis of FePt Nanoparticles with Tunable Size
Chen, M., Liu, J. P., & Sun, S. (2004) · Journal of the American Chemical Society · doi:10.1021/ja047648m · Cited by 368
Cited by
Biological applications of magnetic nanoparticles
Colombo, M., Carregal-Romero, S., Casula, M. F., Gutiérrez, L., Morales, M. P., Böhm, I. B., Heverhagen, J. T., Prosperi, D., & Parak, W. J. (2012) · Chemical Society Reviews · doi:10.1039/c2cs15337h · Cited by 1,315
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
- Chou, S.-W., Shau, Y.-H., Wu, P.-C., Yang, Y.-S., Shieh, D.-B., & Chen, C.-C.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-06-24
- Volume
- 132
- Issue
- 38
- Pages
- 13270-13278
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W1978976337
- Cited by
- 367
- References
- 2
- FWCI
- 15.47
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.