ArticleAging2020
Predicting Fazekas scores from automatic segmentations of white matter signal abnormalities.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed, 69 citations in OpenAlex.
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- Clinical Subgroups and Treatment Outcomes in Idiopathic Normal Pressure Hydrocephalus: Application of Machine Learning-Based Clustering.Neurosurgery practice · 2026Article
- Increased Cerebral Vein Diameters Are Associated with Age and White Matter Hyperintensity.Biomedicines · 2026Article
- MRI-based atrophy subtypes in a young memory clinic cohort: associations with clinical and biomarker profiles.Alzheimer's research & therapy · 2026Article
- Associations of plasma biomarkers with longitudinal co-pathologies in Alzheimer's disease and cerebral small vessel disease comorbidity.The journal of prevention of Alzheimer's disease · 2026Article
- Deep medullary veins score is associated with idiopathic normal pressure hydrocephalus in patients with arteriolosclerotic cerebral small vessel disease.Frontiers in neuroscience · 2026Article
- Distinct cerebrovascular pathways underlying Alzheimer's disease-related neurodegeneration.Acta neuropathologica · 2025Article
- Automated rating of Fazekas scale in fluid-attenuated inversion recovery MRI for ischemic stroke or transient ischemic attack using machine learning.Scientific reports · 2025Article
- Regional associations between cerebrovascular disease and cholinergic white matter pathways in the Lewy body continuum.NPJ Parkinson's disease · 2025Article
- Cerebrospinal Fluid Volume and Other Intracranial Volumes Are Associated with Fazekas Score in Adults: A Single Center Experience.Medicina (Kaunas, Lithuania) · 2025Article
- Atrophy trajectories in Alzheimer's disease: how sex matters.Alzheimer's research & therapy · 2025Article
- Deep learning assisted retinal microvasculature assessment and cerebral small vessel disease in Fabry disease.Orphanet journal of rare diseases · 2025Article
- Loneliness and biomarkers of brain pathology in people with subjective cognitive decline.Scientific reports · 2025Article
- Biological signatures in the Alzheimer's continuum discriminate between diagnosis-related and -unrelated associations to ATN categories.Brain communications · 2025Article
- A comparative study of risk factors in predictive models for cognitive dysfunction in patients with leukoaraiosis based on machine learning algorithms.Frontiers in neuroscience · 2025Article
- Progress of radiomics research on white matter hyperintensity lesions.Frontiers in neurology · 2025Review
- Cerebrovascular co-pathology and cholinergic white matter pathways along the Lewy body continuum.Brain communications · 2025Article
- Blood biomarkers for vascular cognitive impairment based on neuronal function: a systematic review and meta-analysis.Frontiers in neurology · 2025Review
Corrections and comments
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Authors and funding
11 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Different measurements of white matter signal abnormalities (WMSA) are often used across studies, which hinders combination of WMSA data from different cohorts. We investigated associations between three commonly used measurements of WMSA, aiming to further understand the association between them and their potential interchangeability: the Fazekas scale, the lesion segmentation tool (LST), and FreeSurfer. We also aimed at proposing cut-off values for estimating low and high Fazekas scale WMSA burden from LST and FreeSurfer WMSA, to facilitate clinical use and interpretation of LST and FreeSurfer WMSA data. A population-based cohort of 709 individuals (all of them 70 years old, 52% female) was investigated. We found a strong association between LST and FreeSurfer WMSA, and an association of Fazekas scores with both LST and FreeSurfer WMSA. The proposed cut-off values were 0.00496 for LST and 0.00321 for FreeSurfer (Total Intracranial volumes (TIV)-corrected values). This study provides data on the association between Fazekas scores, hyperintense WMSA, and hypointense WMSA in a large population-based cohort. The proposed cut-off values for translating LST and FreeSurfer WMSA estimations to low and high Fazekas scale WMSA burden may facilitate the combination of WMSA measurements from different cohorts that used either a FLAIR or a T1-weigthed sequence.
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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.