ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024
CT-based volumetric measures obtained through deep learning: Association with biomarkers of neurodegeneration.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Scalable CT-based prognostic modeling of dementia conversion in mild cognitive impairment.Scientific reports · 2026Article
- Lipid metabolism, neuroinflammation, and oxidative stress in Alzheimer disease: an integrated mechanistic review.Acta neurologica Belgica · 2026Review
- Ventricular Anatomy Across CT and MRI in Hydrocephalus: A Retrospective Study.Diagnostics (Basel, Switzerland) · 2026Article
- Automated volume estimate of the brain's lateral ventricles reveals a persistent association with cognitive performance among stroke survivors.Cerebral circulation - cognition and behavior · 2026Article
- Assessing CT-based volumetric analysis via deep learning for idiopathic normal pressure hydrocephalus.Brain communications · 2026Article
- Computed tomography-based nnU-Net for region-specific brain structural changes across the alzheimer's continuum and frontotemporal dementia subtypes.Scientific reports · 2025Article
- Centiloid values from deep learning-based CT parcellation: a valid alternative to freesurfer.Alzheimer's research & therapy · 2025Article
- Automatic measurement and reference values setting of intracranial cerebrospinal fluid volume: a large-scale analysis of computed tomography images.Quantitative imaging in medicine and surgery · 2025Article
- Automatic segmentation and quantitative analysis of brain CT volume in 2-year-olds using deep learning model.Frontiers in neurology · 2025Article
- Retinal thickness predicts the risk of cognitive decline over five years.Alzheimer's research & therapy · 2024Article
- Pilot implementation of the revised criteria for staging of Alzheimer's disease by the Alzheimer's Association Workgroup in a tertiary memory clinic.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis.Journal of medical Internet research · 2024Article
- CT-based volumetric measures obtained through deep learning: Association with biomarkers of neurodegeneration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- 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
20 authors.
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Abstract
introductionCranial computed tomography (CT) is an affordable and widely available imaging modality that is used to assess structural abnormalities, but not to quantify neurodegeneration. Previously we developed a deep-learning-based model that produced accurate and robust cranial CT tissue classification. MATERIALS AND
methodsWe analyzed 917 CT and 744 magnetic resonance (MR) scans from the Gothenburg H70 Birth Cohort, and 204 CT and 241 MR scans from participants of the Memory Clinic Cohort, Singapore. We tested associations between six CT-based volumetric measures (CTVMs) and existing clinical diagnoses, fluid and imaging biomarkers, and measures of cognition.
resultsCTVMs differentiated cognitively healthy individuals from dementia and prodromal dementia patients with high accuracy levels comparable to MR-based measures. CTVMs were significantly associated with measures of cognition and biochemical markers of neurodegeneration. DISCUSSION: These findings suggest the potential future use of CT-based volumetric measures as an informative first-line examination tool for neurodegenerative disease diagnostics after further validation. HIGHLIGHTS: Computed tomography (CT)-based volumetric measures can distinguish between patients with neurodegenerative disease and healthy controls, as well as between patients with prodromal dementia and controls. CT-based volumetric measures associate well with relevant cognitive, biochemical, and neuroimaging markers of neurodegenerative diseases. Model performance, in terms of brain tissue classification, was consistent across two cohorts of diverse nature. Intermodality agreement between our automated CT-based and established magnetic resonance (MR)-based image segmentations was stronger than the agreement between visual CT and MR imaging assessment.
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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 Socratic graph.