Evidence map›Paper›PMID 39085503›Full record

ArticleNeurocritical care2025

Serial Diffusion Tensor Imaging and Rate of Ventricular Blood Clearance in Patients with Intraventricular Hemorrhage.

Vedang Vyas, Sean I Savitz, Seth B Boren, Andrea Becerril-Gaitan, Khader Hasan, Robert Suchting, Constanza deDios, Spencer Solberg, Ching-Jen Chen, Robert J Brown and 5 more

Abstract read
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In one paragraph

Article in Neurocritical care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Vedang VyasInstitute for Stroke and Cerebrovascular Diseases and Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, USA.
Sean I SavitzInstitute for Stroke and Cerebrovascular Diseases and Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, USA.
Seth B BorenInstitute for Stroke and Cerebrovascular Diseases and Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, USA.
Andrea Becerril-GaitanDepartment of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Khader HasanDepartment of Interventional Diagnostic Radiology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Robert SuchtingDepartment of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Constanza deDiosDepartment of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Spencer SolbergInstitute for Stroke and Cerebrovascular Diseases and Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, USA.
Ching-Jen ChenDepartment of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Robert J BrownInstitute for Stroke and Cerebrovascular Diseases and Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, USA.
Clark W SittonDepartment of Interventional Diagnostic Radiology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
James GrottaDepartment of Neurology, Memorial Hermann Hospital, Houston, TX, USA.
Jaroslaw AronowskiInstitute for Stroke and Cerebrovascular Diseases and Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, USA.
Nicole GonzalesInstitute for Stroke and Cerebrovascular Diseases and Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, USA.
Muhammad E HaqueInstitute for Stroke and Cerebrovascular Diseases and Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, USA. Muhammad.E.Haque@uth.tmc.edu.ORCID 0000-0002-1453-5618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe developed a noninvasive biomarker to quantify the rate of ventricular blood clearance in patients with intracerebral hemorrhage and extension to the ventricles-intraventricular hemorrhage.

methodsWe performed magnetic resonance imaging in 26 patients at 1, 14, 28, and 42 days of onset and measured their hematoma volume (HV), ventricular blood volume (VBV), and two diffusion metrics: fractional anisotropy (FA), and mean diffusivity (MD). The ipasilesional ventricular cerebral spinal fluid's FA and MD were associated with VBV and stroke severity scores (National Institute of Health Stroke Scale [NIHSS]). A subcohort of 14 patients were treated with external ventricular drain (EVD). A generalized linear mixed model was applied for statistical analysis.

resultsAt day 1, the average HVs and NIHSS scores were 14.6 ± 16.7 cm

conclusionsIn conclusion, vFA and vMD may serve as biomarkers for VBV status.

Indexed as

Cerebral Blood VolumeCerebral HemorrhageCerebral Intraventricular HemorrhageCerebral VentriclesDiffusion Tensor ImagingAdultAgedFemaleHumansMaleMiddle AgedSeverity of Illness IndexDiffusion tensor imagingExternal ventricular drainIntracerebral hemorrhageIntraventricular hemorrhageNoninvasive imaging biomarkerVentricular blood clearance

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Registered trials

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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.