ArticleHuman brain mapping2010
Comparing 3 T and 1.5 T MRI for tracking Alzheimer's disease progression with tensor-based morphometry.
Article in Human brain mapping, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
50 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.
- Diagnostic Performance of Generative Adversarial Network-Based Deep Learning Methods for Alzheimer's Disease: A Systematic Review and Meta-Analysis.Frontiers in aging neuroscience · 2022Pooled it
- Boosting power for clinical trials using classifiers based on multiple biomarkers.Neurobiology of aging · 2010Trial
- The longitudinal effects of global and regional brain measurements on cognitive abilities.Scientific reports · 2025Article
- Contributions of the ADNI Biostatistics Core.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Review
- Diagnostic utility of brain MRI volumetry in comparing traumatic brain injury, Alzheimer disease and behavioral variant frontotemporal dementia.BMC neurology · 2024Article
- Quantified Brain Magnetic Resonance Imaging Volumes Differentiate Behavioral Variant Frontotemporal Dementia from Early-Onset Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2022Article
- A Comprehensive Review of Computer-Aided Diagnosis of Major Mental and Neurological Disorders and Suicide: A Biostatistical Perspective on Data Mining.Diagnostics (Basel, Switzerland) · 2021Review
- Effect Modifiers of TDP-43-Associated Hippocampal Atrophy Rates in Patients with Alzheimer's Disease Neuropathological Changes.Journal of Alzheimer's disease : JAD · 2020Article
- Deep Learning and Multiplex Networks for Accurate Modeling of Brain Age.Frontiers in aging neuroscience · 2019Article
- Voxel-based Specific Regional Analysis System for Alzheimer's Disease (VSRAD) on 3-tesla Normal Database: Diagnostic Accuracy in Two Independent Cohorts with Early Alzheimer's Disease.Aging and disease · 2018Article
- Functional and structural brain networks in posterior cortical atrophy: A two-centre multiparametric MRI study.NeuroImage. Clinical · 2018Article
- Multivariate Deep Learning Classification of Alzheimer's Disease Based on Hierarchical Partner Matching Independent Component Analysis.Frontiers in aging neuroscience · 2018Article
- Multiplex Networks for Early Diagnosis of Alzheimer's Disease.Frontiers in aging neuroscience · 2018Article
- Randomization-Based Statistical Inference: A Resampling and Simulation Infrastructure.Teaching statistics · 2018Article
- The Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog): Modifications and Responsiveness in Pre-Dementia Populations. A Narrative Review.Journal of Alzheimer's disease : JAD · 2018Review
- Longitudinal whole-brain atrophy and ventricular enlargement in nondemented Parkinson's disease.Neurobiology of aging · 2017Article
- MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas.Medical physics · 2016Article
- Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data.GigaScience · 2016Review
- Patterns of regional gray matter loss at different stages of schizophrenia: A multisite, cross-sectional VBM study in first-episode and chronic illness.NeuroImage. Clinical · 2016Article
- Magnetic resonance imaging in Alzheimer's Disease Neuroimaging Initiative 2.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2015Article
Corrections and comments
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Authors and funding
20 authors at 5 institutions in 1 country.
Funding
Abstract
A key question in designing MRI-based clinical trials is how the main magnetic field strength of the scanner affects the power to detect disease effects. In 110 subjects scanned longitudinally at both 3.0 and 1.5 T, including 24 patients with Alzheimer's Disease (AD) [74.8 +/- 9.2 years, MMSE: 22.6 +/- 2.0 at baseline], 51 individuals with mild cognitive impairment (MCI) [74.1 +/- 8.0 years, MMSE: 26.6 +/- 2.0], and 35 controls [75.9 +/- 4.6 years, MMSE: 29.3 +/- 0.8], we assessed whether higher-field MR imaging offers higher or lower power to detect longitudinal changes in the brain, using tensor-based morphometry (TBM) to reveal the location of progressive atrophy. As expected, at both field strengths, progressive atrophy was widespread in AD and more spatially restricted in MCI. Power analysis revealed that, to detect a 25% slowing of atrophy (with 80% power), 37 AD and 108 MCI subjects would be needed at 1.5 T versus 49 AD and 166 MCI subjects at 3 T; however, the increased power at 1.5 T was not statistically significant (alpha = 0.05) either for TBM, or for SIENA, a related method for computing volume loss rates. Analysis of cumulative distribution functions and false discovery rates showed that, at both field strengths, temporal lobe atrophy rates were correlated with interval decline in Alzheimer's Disease Assessment Scale-cognitive subscale (ADAS-cog), mini-mental status exam (MMSE), and Clinical Dementia Rating sum-of-boxes (CDR-SB) scores. Overall, 1.5 and 3 T scans did not significantly differ in their power to detect neurodegenerative changes over a year. Hum Brain Mapp, 2010. (c) 2009 Wiley-Liss, Inc.
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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 OpenQuestion graph.