Evidence map›Paper›PMID 39803742›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging

Utilizing Quantitative Analysis of CSF Volume from Clinical T1-Weighted MRI to Predict Thrombectomy Outcomes.

Mohammad I Kawas, Ahmad Shamulzai, Kyle M Atcheson, Alex C Horn, Renate Ma, Carol Kittel, Brian Curry, Megan Lipford, Jeongchul Kim, Kiran K Solingapuram Sai and 2 more

Abstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

12 authors.

Mohammad I KawasDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Ahmad ShamulzaiDepartment of Neurology, North Shore University Hospital Northwell Health, Manhasset, New York, USA.
Kyle M AtchesonDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.ORCID 0000-0002-6150-8671
Alex C HornDepartment of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.ORCID 0000-0003-1052-6826
Renate MaDepartment of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Carol KittelDepartment of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Brian CurryDepartment of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Megan LipfordDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Jeongchul KimDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Kiran K Solingapuram SaiDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Stacey Q WolfeDepartment of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Christopher T WhitlowDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.

Funding

Wake Forest University School of Medicine Alzheimer's Disease Research CenterP30AG072947 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUZANNE CRAFT · 2021 to 2026
$24.3M
NIA NIH HHS P30 AG072947StrokeNet fellowship
6 · The paper itself

Abstract

background and purposeEndovascular thrombectomy (EVT) is the standard for acute ischemic stroke from large vessel occlusion, but post-EVT functional independence varies. Brain atrophy, linked to higher cerebrospinal fluid volume (CSFV), may affect outcomes. Baseline CSFV could predict EVT benefit by assessing brain health. We aimed to quantify total CSFV from clinical T1-weighted (w) magnetic resonance imaging (MRI) to assess global brain atrophy and its association with functional outcomes following successful EVT.

methodsWe performed a retrospective analysis of patients achieving thrombolysis-in-cerebral-infarction ≥2b revascularization via prospectively maintained single-institution stroke thrombectomy registry (n = 432) between 2015 and 2021. We included 214 patients (mean age 67.5 ± 14.6, 49% female) with acceptable quality MRI within 14 days of EVT and available modified Rankin-scale (mRS) at 90 days post EVT. Clinical T1w images were transformed into high-resolution images using the convolutional neural-network SynthSR. FreeSurfer software was then used to estimate total cranial CSFV. To correct for head size, percentage of CSFV to intracranial volume was used.

resultsBaseline CSFV% significantly predicted 90-day mRS in an ordinal regression model adjusted for baseline mRS (p < 0.001). Further modeling was performed to account for age, sex, 24-h National-Institutes-Health-Stroke-Scale (NIHSS), smoking history, prior stroke, hypertension, congestive heart failure, hemoglobin-A1c, atrial fibrillation, and Alberta-Stroke-Program-Early-CT-Score (ASPECTS). Total CSFV% remained an independent predictor of 90-day mRS (p = 0.012). CSFV% did not significantly predict the occurrence of any type of hemorrhagic transformation in a logistic regression model.

conclusionsIncreased CSFV% correlates with poorer functional outcomes post EVT. Total CSFV% may serve as a useful imaging biomarker for clinicians determining patient prognostication prior to EVT.

Indexed as

Cerebrospinal FluidIschemic StrokeMagnetic Resonance ImagingThrombectomyAgedAged, 80 and overAtrophyBrainEndovascular ProceduresFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesTreatment Outcomecerebrospinal fluidischemic strokemagnetic resonance imagingprognosisthrombectomy

Identifiers

PMID39803742
PMCPMC11850647

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.