ArticleNeuroradiology2021
A novel CT-based automated analysis method provides comparable results with MRI in measuring brain atrophy and white matter lesions.
Article in Neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 23 citations in OpenAlex.
- Brain Atrophy and White Matter Changes Grading Agreement on NCCT and MRI in Ischemic Stroke.Clinical neuroradiology · 2026Trial
- Scalable CT-based prognostic modeling of dementia conversion in mild cognitive impairment.Scientific reports · 2026Article
- Associations between self-reported change in lifestyle behaviors and brain health: Findings from the Healthy Brain Initiative.Journal of Alzheimer's disease : JAD · 2026Article
- Assessing CT-based volumetric analysis via deep learning for idiopathic normal pressure hydrocephalus.Brain communications · 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
- Centiloid values from deep learning-based CT parcellation: a valid alternative to freesurfer.Alzheimer's research & therapy · 2025Article
- Brain atrophy in heart failure patients following left ventricular assist device implantation or heart transplantation.JHLT open · 2025Article
- Genomic and Transcriptomic Approaches Advance the Diagnosis and Prognosis of Neurodegenerative Diseases.Genes · 2025Review
- Neurocognition, cerebellar functions and psychiatric features in spinocerebellar ataxia type 34: a case series.Frontiers in computational neuroscience · 2025Article
- Article
- AI-driven MRI analysis reveals brain atrophy patterns in benign relapsing-remitting multiple sclerosis.Frontiers in neurology · 2025Article
- 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
- Cortical and Subcortical Brain Atrophy Assessment Using Simple Measures on NCCT Compared with MRI in Acute Stroke.AJNR. American journal of neuroradiology · 2023Article
- Grey matter atrophy in patients with benign multiple sclerosis.Brain and behavior · 2022Article
- Cognitive Performance at Time of AD Diagnosis: A Clinically Augmented Register-Based Study.Frontiers in psychology · 2022Article
- Fully Automatic Classification of Brain Atrophy on NCCT Images in Cerebral Small Vessel Disease: A Pilot Study Using Deep Learning Models.Frontiers in neurology · 2022Article
- The diagnostic accuracy of CTseg segmentation software for dementia in a New Zealand memory service.Journal of Alzheimer's disease reportsArticle
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
purposeAutomated analysis of neuroimaging data is commonly based on magnetic resonance imaging (MRI), but sometimes the availability is limited or a patient might have contradictions to MRI. Therefore, automated analyses of computed tomography (CT) images would be beneficial.
methodsWe developed an automated method to evaluate medial temporal lobe atrophy (MTA), global cortical atrophy (GCA), and the severity of white matter lesions (WMLs) from a CT scan and compared the results to those obtained from MRI in a cohort of 214 subjects gathered from Kuopio and Helsinki University Hospital registers from 2005 - 2016.
resultsThe correlation coefficients of computational measures between CT and MRI were 0.9 (MTA), 0.82 (GCA), and 0.86 (Fazekas). CT-based measures were identical to MRI-based measures in 60% (MTA), 62% (GCA) and 60% (Fazekas) of cases when the measures were rounded to the nearest full grade variable. However, the difference in measures was 1 or less in 97-98% of cases. Similar results were obtained for cortical atrophy ratings, especially in the frontal and temporal lobes, when assessing the brain lobes separately. Bland-Altman plots and weighted kappa values demonstrated high agreement regarding measures based on CT and MRI.
conclusionsMTA, GCA, and Fazekas grades can also be assessed reliably from a CT scan with our method. Even though the measures obtained with the different imaging modalities were not identical in a relatively extensive cohort, the differences were minor. This expands the possibility of using this automated analysis method when MRI is inaccessible or contraindicated.
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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.