The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Position paper of the Cardiovascular Committee of the European Association of Nuclear Medicine (EANM) on PET imaging of atherosclerosis
Open accessAbstract
Cardiovascular diseases are the leading cause of death not only in Europe but also in the rest of the World. Preventive measures, however, often fail and cardiovascular disease may manifest as an acute coronary syndrome, stroke or even sudden death after years of silent progression. Thus, there is a considerable need for innovative diagnostic and therapeutic approaches to improve the quality of care and limit the burden of cardiovascular diseases. During the past 10 years, several retrospective and prospective clinical studies have been published using (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET) to quantify inflammation in atherosclerotic plaques. However, the current variety of imaging protocols used for vascular (arterial) imaging with FDG PET considerably limits the ability to compare results between studies and to build large multicentre imaging registries. Based on the existing literature and the experience of the Members of the European Association of Nuclear Medicine (EANM) Cardiovascular Committee, the objective of this position paper was to propose optimized and standardized protocols for imaging and interpretation of PET scans in atherosclerosis. These recommendations do not, however, replace the individual responsibility of healthcare professionals to make appropriate decisions in the circumstances of the individual study protocols used and the individual patient, in consultation with the patient and, where appropriate and necessary, the patient's guardian or carer. These recommendations suffer from the absence of conclusive evidence on many of the recommendations. Therefore, they are not intended and should not be used as "strict guidelines" but should, as already mentioned, provide a basis for standardized clinical atherosclerosis PET imaging protocols, which are subject to further and continuing evaluation and improvement. However, this EANM position paper might indeed be a first step towards "official" guidelines on atherosclerosis imaging with PET.
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Simultaneous PET-MRI: a new approach for functional and morphological imaging
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Cited by
Writing group, Slart, R. H. J. A., Reviewer group, Cardiovascular, M. O. E., Inflammation, M. O. E. I. &., Members of Committees, S. C., Members of Council, P. I. G., Members of, A. S. N. C., & EANM Committee Coordinator (2018) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-018-3973-8 · Cited by 503
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
Metadata
- Authors
- on 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., & Hacker, M.
- Venue
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2015-12-17
- Volume
- 43
- Issue
- 4
- Pages
- 780-792
- ISSN
- 1619-7070 (ISSN-L)
- 1619-7089
- OpenAlex
- W2212351890
- Cited by
- 257
- References
- 68
- FWCI
- 11.58
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- on 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., & Hacker, M. (2016). Position paper of the Cardiovascular Committee of the European Association of Nuclear Medicine (EANM) on PET imaging of atherosclerosis. European Journal of Nuclear Medicine and Molecular Imaging. https://doi.org/10.1007/s00259-015-3259-3
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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.
