Evidence map›Paper›PMID 41583662›Full record

ArticleStroke (Hoboken, N.J.)2023

Leptomeningeal Collateral Status by Signal Variance in Perfusion Magnetic Resonance Imaging: Association With Initial Stroke Severity and Early Functional Outcome After Thrombectomy.

Niklas Helwig, Fatih Seker, Markus A Möhlenbruch, Ralf Deichmann, Ulrike Nöth, René-Maxime Gracien, Elke Hattingen, Marlies Wagner, Alexander Seiler

Abstract read
In one paragraph

Article in Stroke (Hoboken, N.J.), 2023. 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. Cerebral small vessel disease does not impair leptomeningeal collateral supply in large-vessel occlusion - Results from quantitative collateral mapping with MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    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

9 authors.

Niklas HelwigDepartment of Neurology Goethe University Hospital Frankfurt Germany.
Fatih SekerDepartment of Neuroradiology Heidelberg University Hospital Heidelberg Germany.
Markus A MöhlenbruchDepartment of Neuroradiology Heidelberg University Hospital Heidelberg Germany.
Ralf DeichmannBrain Imaging Center Goethe University Frankfurt Frankfurt Germany.
Ulrike NöthBrain Imaging Center Goethe University Frankfurt Frankfurt Germany.
René-Maxime GracienDepartment of Neurology Goethe University Hospital Frankfurt Germany.
Elke HattingenInstitute of Neuroradiology Goethe University Hospital Frankfurt Germany.
Marlies WagnerBrain Imaging Center Goethe University Frankfurt Frankfurt Germany.
Alexander SeilerDepartment of Neurology Goethe University Hospital Frankfurt Germany.ORCID https://orcid.org/0000-0002-9502-1984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Collaterals are the main determinants of the severity of cerebral ischemia and control the pace of the ischemic tissue damage in acute ischemic stroke. Assessment of collateral status remains a major challenge in stroke imaging. We evaluated a signal variance-based collateral vessel index in perfusion-weighted imaging (CVI Methods: T2*-weighted time series from dynamic susceptibility contrast perfusion imaging were processed to calculate the CVI Results: A total of 156 patients with large-vessel occlusion were included in the final analysis. Higher CVI Conclusion: Signal variance-based CVI

Indexed as

clinical outcomecollateralsendovascular therapyperfusion MRIsignal variance

Identifiers

PMID41583662
PMCPMC12778668

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.