ArticleEuropean radiology2019
Automatically computed rating scales from MRI for patients with cognitive disorders.
Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis-a systematic review.Neuroradiology · 2021Pooled it
- Development and validation of MethylCog, a blood DNA methylation proxy for cognition.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Frontal Lobe and Subregional Volumetric Alterations Across Alzheimer's Disease, Amnestic Mild Cognitive Impairment, and Vascular Dementia: An MRI Volumetry Study.Brain sciences · 2026Article
- The heat exposure, aging trajectories, and Alzheimer's disease (HEAT-AD) study protocol.PloS one · 2026Article
- Sociodemographic correlates of cognition and Alzheimer's disease and vascular biomarkers among middle to older age participants in the Healthy Brain Initiative.Journal of Alzheimer's disease : JAD · 2025Article
- Separating dementia with Lewy bodies from Alzheimer's disease dementia using a volumetric MRI classifier.European radiology · 2025Article
- Article
- Brain MRI volumetry and atrophy rating scales as predictors of amyloid status and eligibility for anti-amyloid treatment in a real-world memory clinic setting.Journal of neurology · 2024Article
- Computerized decision support to optimally funnel patients through the diagnostic pathway for dementia.Alzheimer's research & therapy · 2024Article
- APOE ε4 carrier status moderates the effect of lifestyle factors on cognitive reserve.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Voxel-based morphometry in single subjects without a scanner-specific normal database using a convolutional neural network.European radiology · 2024Article
- Blood biomarkers of neurodegeneration associate differently with amyloid deposition, medial temporal atrophy, and cerebrovascular changes in APOE ε4-enriched cognitively unimpaired elderly.Alzheimer's research & therapy · 2024Article
- Use of a digital tool to support the diagnostic process in memory clinics-a usability study.Alzheimer's research & therapy · 2024Article
- Article
- The role of visual rating and automated brain volumetry in early detection and differential diagnosis of Alzheimer's disease.CNS neuroscience & therapeutics · 2024Article
- Regional MRI volumetry using NeuroQuant versus visual rating scales in patients with cognitive impairment and dementia.Brain and behavior · 2024Article
- The Mediating Role of Cortical Atrophy on the Relationship between the Resilience Index and Cognitive Function: Findings from the Healthy Brain Initiative.Journal of Alzheimer's disease : JAD · 2024Article
- Computerized decision support is an effective approach to select memory clinic patients for amyloid-PET.PloS one · 2024Article
- β-Amyloid, Tau, Neurodegeneration Classification and Eligibility for Anti-amyloid Treatment in a Memory Clinic Population.Neurology · 2022Article
- Higher-resolution quantification of white matter hypointensities by large-scale transfer learning from 2D images on the JPSC-AD cohort.Human brain mapping · 2022Article
Corrections and comments
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Authors and funding
17 authors at 8 institutions in 6 countries.
Funding
Abstract
objectivesThe aims of this study were to examine whether visual MRI rating scales used in diagnostics of cognitive disorders can be estimated computationally and to compare the visual rating scales with their computed counterparts in differential diagnostics.
methodsA set of volumetry and voxel-based morphometry imaging biomarkers was extracted from T1-weighted and FLAIR images. A regression model was developed for estimating visual rating scale values from a combination of imaging biomarkers. We studied three visual rating scales: medial temporal lobe atrophy (MTA), global cortical atrophy (GCA), and white matter hyperintensities (WMHs) measured by the Fazekas scale. Images and visual ratings from the Amsterdam Dementia Cohort (ADC) (N = 513) were used to develop the models and cross-validate them. The PredictND (N = 672) and ADNI (N = 752) cohorts were used for independent validation to test generalizability.
resultsThe correlation coefficients between visual and computed rating scale values were 0.83/0.78 (MTA-left), 0.83/0.79 (MTA-right), 0.64/0.64 (GCA), and 0.76/0.75 (Fazekas) in ADC/PredictND cohorts. When performance in differential diagnostics was studied for the main types of dementia, the highest balanced accuracy, 0.75-0.86, was observed for separating different dementias from cognitively normal subjects using computed GCA. The lowest accuracy of about 0.5 for all the visual and computed scales was observed for the differentiation between Alzheimer's disease and frontotemporal lobar degeneration. Computed scales produced higher balanced accuracies than visual scales for MTA and GCA (statistically significant).
conclusionsMTA, GCA, and WMHs can be reliably estimated automatically helping to provide consistent imaging biomarkers for diagnosing cognitive disorders, even among less experienced readers. KEY POINTS: • Visual rating scales used in diagnostics of cognitive disorders can be estimated computationally from MRI images with intraclass correlations ranging from 0.64 (GCA) to 0.84 (MTA). • Computed scales provided high diagnostic accuracy with single-subject data (area under the receiver operating curve range, 0.84-0.94).
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