ArticleBiomolecules2021
White Matter Survival within and around the Hematoma: Quantification by MRI in Patients with Intracerebral Hemorrhage.
Article in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01829386 (Non-Heme Iron Load Quantification in the Brain on MRI in Patients With Hemorrhagic Stroke), which is not on this map. Cited by 6 papers.
What it found
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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.
Non-Heme Iron Load Quantification in the Brain on MRI in Patients With Hemorrhagic Stroke
Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Longitudinal automated fiber quantification reveals corticospinal tract dynamics and prognostic significance after primary basal ganglia hemorrhage.Neuroradiology · 2026Article
- CTSS regulates macrophage lipid metabolic reprogramming and white matter repair after intracerebral hemorrhage.Journal of translational medicine · 2026Article
- The identification of white matter fibers in the hematoma of intracerebral hemorrhage patients.Frontiers in cellular neuroscience · 2026Article
- Corticospinal Tractography and Motor Function in Patients Undergoing Intracerebral Hemorrhage Evacuation.Stroke (Hoboken, N.J.) · 2025Article
- Microglial Lcn2 knockout enhances chronic intracerebral hemorrhage recovery by restoring myelin and reducing inflammation.Theranostics · 2025Article
- Minimally-invasive bedside catheter haematoma aspiration followed by local thrombolysis in spontaneous supratentorial intracerebral haemorrhage: a retrospective single-center study.Frontiers in neurology · 2023Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
White matter (WM) injury and survival after intracerebral hemorrhage (ICH) has received insufficient attention. WM disruption surrounding the hematoma has been documented in animal models with histology, but rarely in human ICH with noninvasive means, like magnetic resonance imaging (MRI). A few human MRI studies have investigated changes in long WM tracts after ICH remote from the hematoma, like the corticospinal tract, but have not attempted to obtain an unbiased quantification of WM changes within and around the hematoma over time. This study attempts such quantification from 3 to 30 days post ictus. Thirteen patients with mild to moderate ICH underwent diffusion tensor imaging (DTI) MRI at 3, 14, and 30 days. Fractional anisotropy (FA) maps were used to calculate the volume of tissue with FA > 0.5, both within the hematoma (lesion) and in the perilesional tissue. At day 3, the percentages of both lesional and perilesional tissue with an FA > 0.5 were significantly less than contralateral, unaffected, anatomically identical tissue. This perilesional contralateral difference persisted at day 14, but there was no significant difference at day 30. The loss of perilesional tissue with FA > 0.5 increased with increasing hematoma size at day 3 and day 14. All patients had some tissue within the lesion with FA > 0.5 at all time points. This did not decrease with duration after ictus, suggesting the persistence of white matter within the hematoma/lesion. These results outline an approach to quantify WM injury, both within and surrounding the hematoma, after mild to moderate ICH using DTI MRI. This may be important for monitoring treatment strategies, such as hematoma evacuation, and assessing efficacy noninvasively.
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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.