ArticleEuropean radiology2026
Probabilistic maps of white matter hyperintensity in a Chinese aging cohort and application for clinical diagnosis.
Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
objectivesWhite matter hyperintensities (WMH) are abnormalities in brain imaging that contribute to cognitive decline and diseases. This study aimed to build WMH probability maps (WPMs) and normative data of WMH volume from a Chinese aging cohort, to offer valuable insights for diagnosis. MATERIALS AND
methodsWe developed WPMs from a comprehensive dataset across six age groups (20-29, 30-39, 40-49, 50-59, 60-69, and 70-79 years), encompassing 735 participants. WMH segmentation was performed with a deep learning approach, and the resulting masks were registered to the standard space for WPM construction. We explored how WMH volume changed with age and established normative data for different age groups. Additionally, we examined whether WMH volume moderates the relationship between aging and cognitive decline. The practical utility of WPMs was then validated with a separate patient cohort with mild cognitive impairment and Alzheimer's disease.
resultsWPMs and the normative data of WMH volume were constructed for six age groups. As age increased, both the likelihood and spatial coverage of WMH grew. All types of WMH (total, periventricular, and deep white matter hyperintensities) quadratically increased with age. Deep white matter hyperintensities moderated the decline of general cognitive abilities related to aging. The two patient groups had significantly higher ratios of abnormal WMH than typical aging adults.
conclusionWe successfully built WPMs and WMH normative data for Chinese adults and demonstrated their clinical diagnostic values. KEY POINTS: Question Current diagnostic tools lack population-specific references for white matter hyperintensities (WMH)in Chinese aging adults, limiting accurate discrimination between pathological neurodegeneration and typical aging patterns. Findings These Chinese WMH probability maps show quadratic age-related growth, with deep WMH moderating cognitive decline. Mild cognitive impairment/Alzheimer's Disease (MCI/AD) patients exhibited significantly higher WMH volumes. Clinical relevance These population-specific WMH references enable clinicians to quantitatively identify abnormal aging and early neurodegeneration in Chinese patients, addressing the critical need for ethnically tailored diagnostic tools in Alzheimer's disease and vascular cognitive impairment.
Indexed as
Identifiers
41139170What OpenQuestion holds
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.