ArticlePsychiatry investigation2017
Structural MRI and Amyloid PET Imaging for Prediction of Conversion to Alzheimer's Disease in Patients with Mild Cognitive Impairment: A Meta-Analysis.
Article in Psychiatry investigation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- Systematic Review of Different Neuroimaging Correlates in Mild Cognitive Impairment and Alzheimer's Disease.Clinical neuroradiology · 2021Pooled it
- Theory of mind in Alzheimer's disease and amnestic mild cognitive impairment: a meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020Pooled it
- Spectral-Domain OCT Measurements in Alzheimer's Disease: A Systematic Review and Meta-analysis.Ophthalmology · 2019Pooled it
- Association of global gray matter volume and cortical thickness with cognitive function stratified by amyloid PET status.Annals of nuclear medicine · 2026Article
- Imaging biomarkers in neurodegenerative diseases: advances and challenges.Frontiers in aging neuroscience · 2026Review
- Proteomic Profiles of Neurodegeneration Among Mexican Americans and Non-Hispanic Whites in the HABS-HD Study.Journal of Alzheimer's disease : JAD · 2022Article
- Insights into Systemic Disease through Retinal Imaging-Based Oculomics.Translational vision science & technology · 2020Review
- Article
- Bridging the Gap between Alzheimer's Disease and Alzheimer's-like Diseases in Animals.International journal of molecular sciences · 2019Review
- Random forest prediction of Alzheimer's disease using pairwise selection from time series data.PloS one · 2019Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of this study was to explore the prognostic values of biomarkers of neurodegeneration as measured by magnetic resonance imaging (MRI) and amyloid burden as measured by amyloid positron emission tomography (PET) in predicting conversion to Alzheimer's disease (AD) in patients with mild cognitive impairment (MCI).
methodsPubMed and EMBASE databases were searched for structural MRI or amyloid PET imaging studies published between January 2000 and July 2014 that reported conversion to AD in patients with MCI. Means and standard deviations or individual numbers of biomarkers with positive or negative status at baseline and corresponding numbers of patients who had progressed to AD at follow-up were retrieved from each study. The effect size of each biomarker was expressed as Hedges's g.
resultsTwenty-four MRI studies and 8 amyloid PET imaging studies were retrieved. 674 of the 1741 participants (39%) developed AD. The effect size for predicting conversion to AD was 0.770 [95% confidence interval (CI) 0.607-0.934] for across MRI and 1.316 (95% CI 0.920-1.412) for amyloid PET imaging (p<0.001). The effect size was 1.256 (95% CI 0.902-1.609) for entorhinal cortex volume from MRI.
conclusionOur study suggests that volumetric MRI measurement may be useful for the early detection of AD.
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