The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Atherosclerosis Inflammation Imaging with 18F-FDG PET: Carotid, Iliac, and Femoral Uptake Reproducibility, Quantification Methods, and Recommendations
Open accessAbstract
UNLABELLED: Atherosclerosis imaging with 18F-FDG PET is useful for tracking inflammation within plaque and monitoring the response to drug therapy. Short-term reproducibility of this technique in peripheral artery disease has not been assessed, and the optimal method of 18F-FDG quantification is still debated. We imaged 20 patients with vascular disease using 18F-FDG PET twice, 14 d apart, and used these data to assess reproducibility measures and compare 2 methods of 18F-FDG uptake measurement. We also reviewed the literature on quantification methods to determine the optimal measures of arterial 18F-FDG uptake for future studies. METHODS: Twenty patients with vascular disease underwent PET/CT of the iliac, femoral, and carotid arteries 90 min after 18F-FDG administration. In 19 patients, repeat testing was performed at 2 wk. Coregistration and attenuation correction were performed with CT. Vessel 18F-FDG uptake was measured as both the mean and maximum blood-normalized standardized uptake value (SUV), known as the target-to-background ratio (TBR). We assessed interscan, interobserver, and intraobserver agreement. RESULTS: Nineteen patients completed both imaging sessions. The carotid and peripheral arteries all have excellent short-term reproducibility of the 18F-FDG signal, with intraclass correlation coefficients all greater than 0.8 for all measures of reproducibility. Both mean and maximum TBR measurements for quantifying 18F-FDG uptake are equally reproducible. 18F-FDG uptake was significantly higher in the carotid arteries than in both iliac and femoral vessels (P < 0.001 for both). CONCLUSION: We found that both mean and maximum TBR in the carotid, iliac, and femoral arteries were highly reproducible. We suggest the mean TBR be used for tracking systemic arterial therapies, whereas the maximum TBR is optimal for detecting and monitoring local, plaque-based therapy.
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
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Forming inferences about some intraclass correlation coefficients.
McGraw, K. O., & Wong, S. P. (1996) · Psychological Methods · doi:10.1037/1082-989x.1.1.30 · Cited by 6,903
Grundy, S. M., Cleeman, J. I., Merz, C. N. B., Brewer, H. B., Clark, L. T., Hunninghake, D. B., Pasternak, R. C., Smith, S. C., & Stone, N. J. (2004) · Circulation · doi:10.1161/01.cir.0000133317.49796.0e · Cited by 6,902
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-citationGreenland, P. (2004) · JAMA · doi:10.1001/jama.291.2.210 · Cited by 1,829
Applying the right statistics: analyses of measurement studies
Bland, J. M., & Altman, D. G. (2003) · Ultrasound in Obstetrics & Gynecology · doi:10.1002/uog.122 · Cited by 1,311
Rudd, J. H. F., Warburton, E. A., Fryer, T. D., Jones, H. A., Clark, J. C., Antoun, N., Johnström, P., Davenport, A. P., Kirkpatrick, P. J., Arch, B. N., et al. (2002) · Circulation · doi:10.1161/01.cir.0000020548.60110.76 · Cited by 1,226
Self-citationTawakol, A., Migrino, R. Q., Bashian, G. G., Bedri, S., Vermylen, D., Cury, R. C., Yates, D., LaMuraglia, G. M., Furie, K., Houser, S., et al. (2006) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2006.05.076 · Cited by 915
Kooi, M. E., Cappendijk, V. C., Cleutjens, K. B. J. M., Kessels, A. G. H., Kitslaar, P. J. E. H. M., Borgers, M., Frederik, P. M., Daemen, M. J. A. P., & van Engelshoven, J. M. A. (2003) · Circulation · doi:10.1161/01.cir.0000068315.98705.cc · Cited by 798
Analytic 3D image reconstruction using all detected events
Kinahan, P. E., & Rogers, J. G. (1989) · IEEE Transactions on Nuclear Science · doi:10.1109/23.34585 · Cited by 767
Cited by
Inflammation in Atherosclerosis
Libby, P., Ridker, P. M., & Hansson, G. K. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.09.009 · Cited by 2,228
Inflammation in Atherosclerosis: Transition From Theory to Practice
Libby, P., Okamoto, Y., Rocha, V. Z., & Folco, E. (2010) · Circulation Journal · doi:10.1253/circj.cj-09-0706 · Cited by 799
Fayad, Z. A., Mani, V., Woodward, M., Kallend, D., Abt, M., Burgess, T., Fuster, V., Ballantyne, C. M., Stein, E. A., Tardif, J.-C., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)61383-4 · Cited by 538
Self-citationContemporary carotid imaging: from degree of stenosis to plaque vulnerability
Brinjikji, W., Huston, J., Rabinstein, A. A., Kim, G.-M., Lerman, A., & Lanzino, G. (2016) · Journal of Neurosurgery · doi:10.3171/2015.1.jns142452 · Cited by 401
Dweck, M. R., Jones, C., Joshi, N. V., Fletcher, A. M., Richardson, H., White, A., Marsden, M., Pessotto, R., Clark, J. C., Wallace, W. A., et al. (2012) · Circulation · doi:10.1161/circulationaha.111.051052 · Cited by 337
Self-citation
Metadata
- Authors
- Rudd, J. H. F., Myers, K. S., Bansilal, S., Machac, J., Pinto, C. A., Tong, C., Rafique, A., Hargeaves, R., Farkouh, M., Fuster, V., & Fayad, Z. A.
- Venue
- Journal of Nuclear Medicine
- Publisher
- Society of Nuclear Medicine
- Published
- 2008-05-15
- Volume
- 49
- Issue
- 6
- Pages
- 871-878
- ISSN
- 0161-5505 (ISSN-L)
- 2159-662X
- OpenAlex
- W2061876167
- Cited by
- 444
- References
- 31
- FWCI
- 36.73
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Atherosclerosis Inflammation Imaging with 18F-FDG PET: Carotid, Iliac, and Femoral Uptake Reproducibility, Quantification Methods, and Recommendations. https://app.cochat.ai/papers/10.2967/jnumed.107.050294
- The paper
- Rudd, J. H. F., Myers, K. S., Bansilal, S., Machac, J., Pinto, C. A., Tong, C., Rafique, A., Hargeaves, R., Farkouh, M., Fuster, V., & Fayad, Z. A. (2008). Atherosclerosis Inflammation Imaging with 18F-FDG PET: Carotid, Iliac, and Femoral Uptake Reproducibility, Quantification Methods, and Recommendations. Journal of Nuclear Medicine. https://doi.org/10.2967/jnumed.107.050294
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.
