ArticleAlzheimer's & dementia (Amsterdam, Netherlands)
Combined 18F-FDG PET-CT markers in dementia with Lewy bodies.
Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 4 citations in OpenAlex.
- Deep learning for FDG-PET classification in patients with Alzheimer's disease, dementia with Lewy bodies and their mixed pathology: a solution for diagnostic heterogeneity.Frontiers in aging neuroscience · 2026Article
- Article
- Combined 18F-FDG PET-CT markers in dementia with Lewy bodies.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
18 authors at 8 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
introduction
methodsFDG-PET scans were visually and semi-quantitatively analyzed in 61 patients. Radiomics and ML analyses were performed, building five ML models: (1) clinical features; (2) visual and semi-quantitative PET features; (3) radiomic features; (4) all PET features; and (5) overall features.
resultsAt follow-up, 34 patients had DLB and 27 had AD. At visual analysis, DLB PET signs were significantly more frequent in DLB, having the highest diagnostic accuracy (86.9%). At semi-quantitative analysis, the right precuneus, superior parietal, lateral occipital, and primary visual cortices showed significantly reduced uptake in DLB. The ML model 2 had the highest diagnostic accuracy (84.3%). DISCUSSION: FDG-PET is a valuable tool in DLB diagnosis, having visual and semi-quantitative analyses with the highest diagnostic accuracy at ML analyses.
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