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Semi-quantitative Assessment Using [18F]FDG Tracer in Patients with Severe Brain Injury
Published on: November 9, 2018
Brain Glucose Metabolism in Cerebral Amyloid Angiopathy: An FDG-PET Study
Sébastien Bergeret1, Mathieu Queneau2, Mathieu Rodallec3
1Department of Nuclear Medicine, CHU de Martinique, Université des Antilles, Fort-de-France (S.B., K.F.).
Insights
Cerebral amyloid angiopathy (CAA) diagnosis may improve with 18F-fluoro-deoxy-D-glucose (FDG) PET scans showing reduced glucose uptake in posterior brain regions. This finding supports FDG-PET as a potential diagnostic tool for CAA.
Area of Science:
- Neurology
- Neuroimaging
- Metabolic Brain Imaging
Background:
- Cerebral amyloid angiopathy (CAA) diagnosis relies on Boston criteria, primarily using MRI for hemorrhagic features.
- 18F-fluoro-deoxy-D-glucose (FDG) positron emission tomography (PET) is a widely available imaging modality with potential to enhance CAA diagnostic accuracy.
Purpose of the Study:
- To test the hypothesis that FDG uptake is reduced in posterior cortical areas in patients with probable CAA.
- To investigate the utility of FDG-PET in identifying hypometabolism in specific brain regions affected by vascular Aβ deposition.
Main Methods:
- Retrospective analysis of 14 patients meeting Boston criteria for probable CAA who underwent both MRI and FDG-PET.
- FDG-PET data processed for spatial normalization and generation of relative standardized uptake values (SUVR) in 13 regions of interest.
- Comparison of SUVR between CAA patients and age-matched controls using two healthy subject databases and image-processing pipelines.
Main Results:
- Significant hypometabolism was consistently observed in posterior cortical areas, including parietal, visual, temporal, precuneus, and posterior cingulate regions.
- Anterior cortical areas showed marginal or no significant hypometabolism.
- The cerebellum was not significantly affected, indicating region-specific metabolic changes in CAA.
Conclusions:
- FDG-PET reveals significant glucose hypometabolism predominantly in posterior cortical regions, supporting its diagnostic potential for CAA.
- Findings suggest FDG-PET can identify metabolic changes associated with vascular Aβ deposition in the visual cortex and other posterior areas.
- Further validation in larger prospective studies is needed to confirm these diagnostic implications and explore generalization to symptomatic CAA.
Background And Purpose:
The in vivo diagnosis of cerebral amyloid angiopathy (CAA) is currently based on the Boston criteria, which largely rely on hemorrhagic features on brain magnetic resonance imaging. Adding to these criteria 18F-fluoro-deoxy-D-glucose (FDG) positron emission tomography, a widely available imaging modality, might improve their accuracy. Here we tested the hypothesis that FDG uptake is reduced in posterior cortical areas, particularly the primary occipital cortex, which pathologically bear the brunt of vascular Aβ deposition.
Methods:
From a large memory clinic database, we retrospectively included all patients in whom both brain magnetic resonance imaging and FDG positron emission tomography had been obtained as part of routine clinical care and who fulfilled the Boston criteria for probable CAA. None had a history of symptomatic intracerebral hemorrhage. FDG data processing involved (1) spatial normalization to the Montreal Neurology Institute/International Consortium for Brain Mapping 152 space and (2) generation of standardized FDG uptake (relative standardized uptake value; relative to the pons). The relative standardized uptake value data obtained in 13 regions of interest sampling key cortical areas and the cerebellum were compared between the CAA and age-matched control groups using 2 separate healthy subject databases and image-processing pipelines. The presence of significant hypometabolism (2-tailed P<0.05) was assessed for the bilaterally averaged regions-of-interest relative standardized uptake values.
Results:
Fourteen patients fulfilling the Boston criteria for probable CAA (≥2 exclusively lobar microbleeds) were identified. Significant hypometabolism (P range, 0.047 to <0.0001) consistently affected the posterior cortical areas, including the superior and inferior parietal, primary visual, lateral occipital, lateral temporal, precuneus, and posterior cingulate regions of interest. The anterior cortical areas were marginally or not significantly hypometabolic, and the cerebellum was spared.
Conclusions:
Supporting our hypothesis, significant glucose hypometabolism predominantly affected posterior cortical regions, including the visual cortex. These findings from a small sample may have diagnostic implications but require replication in larger prospective studies. In addition, whether they generalize to CAA-related symptomatic intracerebral hemorrhage warrants specific studies.
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