The DOI matches its Crossref record.
Identifying active vascular microcalcification by 18F-sodium fluoride positron emission tomography
Open accessAbstract
Vascular calcification is a complex biological process that is a hallmark of atherosclerosis. While macrocalcification confers plaque stability, microcalcification is a key feature of high-risk atheroma and is associated with increased morbidity and mortality. Positron emission tomography and X-ray computed tomography (PET/CT) imaging of atherosclerosis using 18 F-sodium fluoride (18 F-NaF) has the potential to identify pathologically high-risk nascent microcalcification. However, the precise molecular mechanism of 18 F-NaF vascular uptake is still unknown. Here we use electron microscopy, autoradiography, histology and preclinical and clinical PET/CT to analyse 18 F-NaF binding. We show that 18 F-NaF adsorbs to calcified deposits within plaque with high affinity and is selective and specific. 18 F-NaF PET/CT imaging can distinguish between areas of macro- and microcalcification. This is the only currently available clinical imaging platform that can non-invasively detect microcalcification in active unstable atherosclerosis. The use of 18 F-NaF may foster new approaches to developing treatments for vascular calcification.
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
Cited by
Libby, P., Buring, J. E., Badimon, L., Hansson, G. K., Deanfield, J., Bittencourt, M. S., Tokgözoğlu, L., & Lewis, E. F. (2019) · Nature Reviews Disease Primers · doi:10.1038/s41572-019-0106-z · Cited by 3,211
Borén, J., Chapman, M. J., Krauss, R. M., Packard, C. J., Bentzon, J. F., Binder, C. J., Daemen, M. J., Demer, L. L., Hegele, R. A., Nicholls, S. J., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz962 · Cited by 1,601
Davenport, A. P., Hyndman, K. A., Dhaun, N., Southan, C., Kohan, D. E., Pollock, J. S., Pollock, D. M., Webb, D. J., & Maguire, J. J. (2016) · Pharmacological Reviews · doi:10.1124/pr.115.011833 · Cited by 772
Self-citationDetection of Atherosclerotic Inflammation by 68 Ga-DOTATATE PET Compared to [ 18 F]FDG PET Imaging
Tarkin, J. M., Joshi, F. R., Evans, N. R., Chowdhury, M. M., Figg, N. L., Shah, A. V., Starks, L. T., Martin-Garrido, A., Manavaki, R., Yu, E., et al. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.01.060 · Cited by 445
Self-citationon behalf of the Cardiovascular Committee of the European Association of Nuclear Medicine (EANM), Bucerius, J., Hyafil, F., Verberne, H. J., Slart, R. H. J. A., Lindner, O., Sciagra, R., Agostini, D., Übleis, C., Gimelli, A., et al. (2016) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-015-3259-3 · Cited by 257
Metadata
- Authors
- Irkle, A., Vesey, A. T., Lewis, D. Y., Skepper, J. N., Bird, J. L. E., Dweck, M. R., Joshi, F. R., Gallagher, F. A., Warburton, E. A., Bennett, M. R., Brindle, K. M., Newby, D. E., Rudd, J. H., & Davenport, A. P.
- Venue
- Nature Communications
- Published
- 2015-07-07
- Volume
- 6
- Issue
- 1
- Pages
- 7495-7495
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W1596488107
- Cited by
- 468
- References
- 0
- FWCI
- 31.78
- Type
- journal article
- Language
- en
- Open access
- gold
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: Identifying active vascular microcalcification by 18F-sodium fluoride positron emission tomography. https://app.cochat.ai/papers/10.1038/ncomms8495
- The paper
- Irkle, A., Vesey, A. T., Lewis, D. Y., Skepper, J. N., Bird, J. L. E., Dweck, M. R., Joshi, F. R., Gallagher, F. A., Warburton, E. A., Bennett, M. R., Brindle, K. M., Newby, D. E., Rudd, J. H., & Davenport, A. P. (2015). Identifying active vascular microcalcification by 18F-sodium fluoride positron emission tomography. Nature Communications. https://doi.org/10.1038/ncomms8495
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.
