ArticleJournal of neuroradiology = Journal de neuroradiologie2018
Bullseye's representation of cerebral white matter hyperintensities.
Article in Journal of neuroradiology = Journal de neuroradiologie, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Seven-year progression of white matter hyperintensities and age-related cognitive change in healthy middle-aged and older adults.GeroScience · 2026Article
- An automated quantitative report for multiple sclerosis using only 3D T2-fluid-attenuated inversion recovery MRI.Neuroradiology · 2026Article
- Cross-organ MRI to assess the relationship between cardiac traits and cerebral white matter hyperintensity volumes.Communications medicine · 2026Article
- White Matter Hyperintensities in Behavioral Variant Frontotemporal Dementia and Semantic Variant Primary Progressive Aphasia.Neurology open access · 2026Article
- Location patterns and longitudinal progression of white matter hyperintensities.medRxiv : the preprint server for health sciences · 2026Article
- Multimodal Magnetic Resonance Imaging Signatures of White Matter Hyperintensities: Mechanistic Insights Into Pathobiological Heterogeneity.Journal of stroke · 2026Review
- Characterizing white matter hyperintensities in myotonic dystrophy type 1 through IVIM derived metrics.Scientific reports · 2025Article
- Distinct spatiotemporal patterns of white matter hyperintensity progression.Nature communications · 2025Article
- MRI contrast accumulation in features of cerebral small vessel disease: blood-brain barrier dysfunction or elevated vascular density?Fluids and barriers of the CNS · 2025Article
- White matter hyperintensity spatial patterns: Risk factors and clinical correlates.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- No sex differences in the association between regional brain structure abnormalities and cognitive functioning in a geriatric memory clinic population.Aging brain · 2025Article
- White Matter Magnetic Resonance Diffusion Measures in Multiple Sclerosis with Overactive Bladder.Brain sciences · 2024Article
- Characterization of white matter hyperintensities in Down syndrome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- White matter hyperintensity patterns: associations with comorbidities, amyloid, and cognition.Alzheimer's research & therapy · 2024Article
- Progression of white matter hyperintensities is related to blood pressure increases and global cognitive decline - A registered report.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Neuroimaging Correlates of Cognitive Deficits in Wilson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2022Article
- Neuroimaging correlates of brain injury in Wilson's disease: a multimodal, whole-brain MRI study.Brain : a journal of neurology · 2022Article
- Effects of white matter hyperintensities distribution and clustering on late-life cognitive impairment.Scientific reports · 2022Article
- Quantification of Silent Cerebral Infarction on High-Resolution FLAIR and Cognition in Sickle Cell Anemia.Frontiers in neurology · 2022Article
- Regional associations of white matter hyperintensities and early cortical amyloid pathology.Brain communications · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
background and purposeVisual rating scales have limited capacities to depict the regional distribution of cerebral white matter hyperintensities (WMH). We present a regional-zonal volumetric analysis alongside a visualization tool to compare and deconstruct visual rating scales. MATERIALS AND
methods3D T1-weighted, T2-weighted spin-echo and FLAIR images were acquired on a 3T system, from 82 elderly participants in a population-based study. Images were automatically segmented for WMH. Lobar boundaries and distance to ventricular surface were used to define white matter regions. Regional-zonal WMH loads were displayed using bullseye plots. Four raters assessed all images applying three scales. Correlations between visual scales and regional WMH as well as inter and intra-rater variability were assessed. A multinomial ordinal regression model was used to predict scores based on regional volumes and global WMH burdens.
resultsOn average, the bullseye plot depicted a right-left symmetry in the distribution and concentration of damage in the periventricular zone, especially in frontal regions. WMH loads correlated well with the average visual rating scores (e.g. Kendall's tau [Volume, Scheltens]=0.59 CI=[0.53 0.62]). Local correlations allowed comparison of loading patterns between scales and between raters. Regional measurements had more predictive power than global WMH burden (e.g. frontal caps prediction with local features: ICC=0.67 CI=[0.53 0.77], global volume=0.50 CI=[0.32 0.65], intra-rater=0.44 CI=[0.23 0.60]).
conclusionRegional-zonal representation of WMH burden highlights similarities and differences between visual rating scales and raters. The bullseye infographic tool provides a simple visual representation of regional lesion load that can be used for rater calibration and training.
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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.