ArticleBMC medical imaging2024
The use of individual-based FDG-PET volume of interest in predicting conversion from mild cognitive impairment to dementia.
Article in BMC medical imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Article
- A real-world decision tree model based on ¹⁸F-FDG PET/CT Z scores and Mini-Mental State Examination for differentiating mild cognitive impairment from clinically diagnosed Alzheimer disease.Annals of nuclear medicine · 2026Article
- Baseline FDG-PET Brain hypometabolism as a predictive biomarker of cognitive decline and Alzheimer's disease risk.The journal of nutrition, health & aging · 2026Article
- Subregional Functional Connectivity of the Precuneus as a Preclinical Biomarker in Alzheimer's Disease.Neurology research international · 2026Article
- An integrated view of the relationships between amyloid, tau, and inflammatory pathophysiology in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- Dysregulated calcium signaling in the aged primate association cortices: vulnerability to Alzheimer's disease neuropathology.Frontiers in aging neuroscience · 2025Review
- The Common Alzheimer's Disease Research Ontology (CADRO) for biomarker categorization.Alzheimer's & dementia (New York, N. Y.)Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundBased on a longitudinal cohort design, the aim of this study was to investigate whether individual-based
methodsWe included 44 MCI converters (MCI-C), 38 non-converters (MCI-NC), 42 patients with Alzheimer's disease with dementia, and 40 cognitively normal controls. Data from annual cognitive measurements, 3D T1 magnetic resonance imaging (MRI) scans, and
resultsThe clinical follow-up period was 6.6 ± 3.8 years (range 3.1 to 16.0 years). The trend of cognitive decline could differentiate MCI-C from MCI-NC after 3 years of follow-up. In the baseline 18F-FDG-PET scan of the patients with MCI, medial temporal lobe (MTL; 94.7% sensitivity, 80.5% specificity) and posterior cingulate cortex (PCC; 89.5% sensitivity, 73.1% specificity) hypometabolism predicted conversion with high accuracy.
conclusionsOur finding supports the use of individual-based
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.