ArticleJournal of neurology2023
Whole-brain diffusion tensor imaging predicts 6-month functional outcome in acute intracerebral haemorrhage.
Article in Journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- Diffusion tensor imaging of the pelvic floor muscles and pelvic organs: a systematic review.Frontiers in medical technology · 2026Pooled it
- Astrocyte-Microglia Crosstalk in Post-Hemorrhagic Neurovascular Microenvironment: Mechanistic Nodes, Cross-Stroke Comparisons, and Therapeutic Reprogramming.Translational stroke research · 2026Review
- Analysis of recovery-related white matter microstructures in visual spatial neglect based on diffusion tensor imaging.Brain imaging and behavior · 2026Article
- Microstructural brain changes and their impact on hemorrhagic stroke recovery: a neurite orientation dispersion and density imaging-based study.Quantitative imaging in medicine and surgery · 2025Article
- White Matter Injury in Central Nervous System Disorders.Neuropsychiatric disease and treatment · 2025Review
- Implications of fitting a two-compartment model in single-shell diffusion MRI.Physics in medicine and biology · 2023Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionSmall vessel disease (SVD) causes most spontaneous intracerebral haemorrhage (ICH) and is associated with widespread microstructural brain tissue disruption, which can be quantified via diffusion tensor imaging (DTI) metrics: mean diffusivity (MD) and fractional anisotropy (FA). Little is known about the impact of whole-brain microstructural alterations after SVD-related ICH. We aimed to investigate: (1) association between whole-brain DTI metrics and functional outcome after ICH; and (2) predictive ability of these metrics compared to the pre-existing ICH score.
methodsSixty-eight patients (38.2% lobar) were retrospectively included. We assessed whole-brain DTI metrics (obtained within 5 days after ICH) in cortical and deep grey matter and white matter. We used univariable logistic regression to assess the associations between DTI and clinical-radiological variables and poor outcome (modified Rankin Scale > 2). We determined the optimal predictive variables (via LASSO estimation) in: model 1 (DTI variables only), model 2 (DTI plus non-DTI variables), model 3 (DTI plus ICH score). Optimism-adjusted C-statistics were calculated for each model and compared (likelihood ratio test) against the ICH score.
resultsDeep grey matter MD (OR 1.04 [95% CI 1.01-1.07], p = 0.010) and white matter MD (OR 1.11 [95% CI 1.01-1.23], p = 0.044) were associated (univariate analysis) with poor outcome. Discrimination values for model 1 (0.67 [95% CI 0.52-0.83]), model 2 (0.71 [95% CI 0.57-0.85) and model 3 (0.66 [95% CI 0.52-0.82]) were all significantly higher than the ICH score (0.62 [95% CI 0.49-0.75]).
conclusionOur exploratory study suggests that whole-brain microstructural disruption measured by DTI is associated with poor 6-month functional outcome after SVD-related ICH. Whole-brain DTI metrics performed better at predicting recovery than the existing ICH score.
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