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Joint EANM/EANO/RANOpracticeguidelines/SNMMIprocedure standardsfor imaging ofgliomas using PETwith radiolabelledamino acids and[18F]FDG: version 1.0 Ian LawNathalie L. AlbertJavier Arbizu2018 год

Joint EANM/EANO/RANO practice guidelines/SNMMI procedure standards for imaging of gliomas using PET with radiolabelled amino acids and [18F]FDG: version 1.0
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Аннотация: These joint practice guidelines, or procedure standards, were developed collaboratively by the European Association of Nuclear Medicine (EANM), the Society of Nuclear Medicine and Molecular Imaging (SNMMI), the European Association of Neurooncology (EANO), and the working group for Response Assessment in Neurooncology with PET (PET-RANO). Brain PET imaging is being increasingly used to supplement MRI in the clinical management of glioma. The aim of these standards/guidelines is to assist nuclear medicine practitioners in recommending, performing, interpreting and reporting the results of brain PET imaging in patients with glioma to achieve a high-quality imaging standard for PET using FDG and the radiolabelled amino acids MET, FET and FDOPA. This will help promote the appropriate use of PET imaging and contribute to evidence-based medicine that may improve the diagnostic impact of this technique in neurooncological practice. The present document replaces a former version of the guidelines published in 2006 (Vander Borght et al. Eur J Nucl Med Mol Imaging. 33:1374–80, 2006), and supplements a recent evidence-based recommendation by the PET-RANO working group and EANO on the clinical use of PET imaging in patients with glioma (Albert et al. Neuro Oncol. 18:1199–208, 2016). The information provided should be taken in the context of local conditions and regulations.
Год издания: 2018
Авторы: Ian Law, Nathalie L. Albert, Javier Arbizu, Ronald Boellaard, Alexander Drzezga, Norbert Galldiks, Christian la Fougère, Karl‐Josef Langen, Egesta Lopci, Val J. Lowe, Jonathan McConathy, Harald H. Quick, Bernhard Sattler, David M. Schuster, Jörg-Christian Tonn, Michael Weller
Издательство: Springer Science+Business Media
Источник: European Journal of Nuclear Medicine and Molecular Imaging
Ключевые слова: Medical Imaging Techniques and Applications, Glioma Diagnosis and Treatment, Radiomics and Machine Learning in Medical Imaging
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