EANM procedure guidelines for PET brain imaging using [18F]FDG, version 2

Varrone, Andrea; Asenbaum, S.; Borght, Thierry Vander; Booij, Jan; Nobili, Flavio; Någren, Kjell; Darcourt, Jacques; Kapucu, Özlem; Tatsch, Klaus; Bartenstein, Peter; Laere, Koen Van

doi:10.1007/s00259-009-1264-0

Cited by 478 publications

(348 citation statements)

References 20 publications

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“…Since this is usually not possible within a single institution, data from several centers need to be pooled following the harmonization of imaging protocols [293]. Several guidelines have been put forward [294][295][296] and specific programs, namely the accreditation programs of the EANM or the ACR, have been launched to sensitize the imaging community and to help address this challenge toward pooled data evaluation.…”

Section: Multi-centre Standardizationmentioning

confidence: 99%

Hybrid Imaging: Instrumentation and Data Processing

et al. 2018

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State-of-the-art patient management frequently requires the use of non-invasive imaging methods to assess the anatomy, function or molecular-biological conditions of patients or study subjects. Such imaging methods can be singular, providing either anatomical or molecular information, or they can be combined, thus, providing "anato-metabolic" information. Hybrid imaging denotes image acquisitions on systems that physically combine complementary imaging modalities for an improved diagnostic accuracy and confidence as well as for increased patient comfort. The physical combination of formerly independent imaging modalities was driven by leading innovators in the field of clinical research and benefited from technological advances that permitted the operation of PET and MR in close physical proximity, for example. This review covers milestones of the development of various hybrid imaging systems for use in clinical practice and small-animal research. Special attention is given to technological advances that helped the adoption of hybrid imaging, as well as to introducing methodological concepts that benefit from the availability of complementary anatomical and biological information, such as new types of image reconstruction and data correction schemes. The ultimate goal of hybrid imaging is to provide useful, complementary and quantitative information during patient work-up. Hybrid imaging also opens the door to multi-parametric assessment of diseases, which will help us better understand the causes of various diseases that currently contribute to a large fraction of healthcare costs.

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Section: Multi-centre Standardizationmentioning

confidence: 99%

Hybrid Imaging: Instrumentation and Data Processing

et al. 2018

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“…33,[38][39][40] Regarding imaging techniques and technologies, included studies generally followed guidelines by the European Association of Nuclear Medicine (On-line Table 3). 42,43 All studies used stand-alone dedicated PET scanners except for 1 study, in which some patients underwent combined PET/CT instead of standalone PET. Studies used variable diagnostic criteria both for visual and quantitative assessments (On-line Table 4).…”

Section: Study Selection and Characteristicsmentioning

confidence: 99%

Diagnostic Accuracy of PET for Recurrent Glioma Diagnosis: A Meta-Analysis

Nishizaki

Dahabreh

Terasawa

2012

AJNR Am J Neuroradiol

160

105

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BACKGROUND AND PURPOSE:Studies have assessed PET by using various tracers to diagnose disease recurrence in patients with previously treated glioma; however, the accuracy of these methods, particularly compared with alternative imaging modalities, remains unclear. We conducted a meta-analysis to quantitatively synthesize the diagnostic accuracy of PET and compare it with alternative imaging modalities.

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“…The contribution of CT imaging in PET/CT examinations has been estimated to range from 20 to 450 lSv, depending on whether a lowdose or a high-quality diagnostic brain scan is used [40].…”

Section: Lower Radiation Exposurementioning

confidence: 99%

Molecular neuroimaging with PET/MRI

Garibotto¹,

Förster

Haller³

et al. 2013

Clin Transl Imaging

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Hybrid PET/MRI is a recently developed technique, which is attracting growing interest among the medical community owing to its potential clinical and research applications. PET/MRI is of special interest for neuroscience, given that PET and MRI are the neuroimaging methods of choice for many clinical and scientific applications. The first clinical studies conducted have tested the performance of PET/MRI in oncology indications, neurodegenerative disorders and epilepsy, using aminoacidic tracers and somatostatin-receptor imaging ( 68 Ga-DOTATOC), 18 F-fluorodeoxyglucose ( 18 F-FDG), and 11 C-flumazenil, respectively, and shown that the acquisition of both brain PET and MRI can be performed in a single session on a hybrid PET/MRI system achieving quality comparable to that of PET/CT and MRI acquired separately, but with some important advantages. Combined acquisition of PET and MRI maximizes the clinical information and optimizes the registration of both modalities, while minimizing patient discomfort. Sparing the patient the CT scan can reduce radiation exposure while the accurate coregistration due to the identical positioning opens new windows for better region-specific evaluation of PET data, particularly when acquired with tracers that provide little anatomical information. PET and MRI parameters can be systematically combined for diagnostic interpretation and new options concerning partial volume and motion correction can be exploited. There are still open issues, such as the selection of clinical indications, the influence of the combined design on the performance of each modality, and, in particular, the validation of quantitative PET measures with respect to attenuation correction. Overall, PET/MRI hybrid imaging is an exciting new modality and potentially the future modality of choice for neuroimaging investigations.

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EANM procedure guidelines for PET brain imaging using [18F]FDG, version 2

Cited by 478 publications

References 20 publications

Hybrid Imaging: Instrumentation and Data Processing

Hybrid Imaging: Instrumentation and Data Processing

Diagnostic Accuracy of PET for Recurrent Glioma Diagnosis: A Meta-Analysis

Molecular neuroimaging with PET/MRI

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