Evidence map›Paper›PMID 38627288›Full record

ArticleEuropean radiology2024

Association of clinical outcome and imaging endpoints in extensive ischemic stroke-comparing measures of cerebral edema.

Vincent Geest, Paul Steffen, Laurens Winkelmeier, Tobias D Faizy, Christian Heitkamp, Helge Kniep, Lukas Meyer, Kamil Zelenak, Thomalla Götz, Jens Fiehler and 1 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Trial
  2. Article
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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

11 authors at 2 institutions in 2 countries.

Vincent GeestDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany. v.geest@uke.de.ORCID http://orcid.org/0000-0001-5777-331X
Paul SteffenDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
Laurens WinkelmeierDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
Tobias D FaizyDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
Christian HeitkampDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
Helge KniepDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
Lukas MeyerDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
Kamil ZelenakDepartment of Radiology, Comenius University's Jessenius Faculty of Medicine and University Hospital, Martin, Slovakia.
Thomalla GötzDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jens FiehlerDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
Gabriel BroocksDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
Universität Hamburg · DEComenius University Bratislava · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIschemic edema is associated with worse clinical outcomes, especially in large infarcts. Computed tomography (CT)-based densitometry allows direct quantification of absolute edema volume (EV), which challenges indirect biomarkers like midline shift (MLS). We compared EV and MLS as imaging biomarkers of ischemic edema and predictors of malignant infarction (MI) and very poor clinical outcome (VPCO) in early follow-up CT of patients with large infarcts. MATERIALS AND

methodsPatients with anterior circulation stroke, large vessel occlusion, and Alberta Stroke Program Early CT Score (ASPECTS) ≤ 5 were included. VPCO was defined as modified Rankin scale (mRS) ≥ 5 at discharge. MLS and EV were quantified at admission and in follow-up CT 24 h after admission. Correlation was analyzed between MLS, EV, and total infarct volume (TIV). Multivariable logistic regression and receiver operating characteristics curve analyses were performed to compare MLS and EV as predictors of MI and VPCO.

resultsSeventy patients (median TIV 110 mL) were analyzed. EV showed strong correlation to TIV (r = 0.91, p < 0.001) and good diagnostic accuracy to classify MI (EV AUC 0.74 [95%CI 0.61-0.88] vs. MLS AUC 0.82 [95%CI 0.71-0.94]; p = 0.48) and VPCO (EV AUC 0.72 [95%CI 0.60-0.84] vs. MLS AUC 0.69 [95%CI 0.57-0.81]; p = 0.5) with no significant difference compared to MLS, which did not correlate with TIV < 110 mL (r = 0.17, p = 0.33).

conclusionEV might serve as an imaging biomarker of ischemic edema in future studies, as it is applicable to infarcts of all volumes and predicts MI and VPCO in patients with large infarcts with the same accuracy as MLS. CLINICAL RELEVANCE STATEMENT: Utilization of edema volume instead of midline shift as an edema parameter would allow differentiation of patients with large and small infarcts based on the extent of edema, with possible advantages in the prediction of treatment effects, complications, and outcome. KEY POINTS: • CT densitometry-based absolute edema volume challenges midline shift as current gold standard measure of ischemic edema. • Edema volume predicts malignant infarction and poor clinical outcome in patients with large infarcts with similar accuracy compared to MLS irrespective of the lesion extent. • Edema volume might serve as a reliable quantitative imaging biomarker of ischemic edema in acute stroke triage independent of lesion size.

Indexed as

Brain EdemaIschemic StrokeTomography, X-Ray ComputedAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesBrain edemaIschemiaMidline shiftNet water uptakeStroke

Identifiers

PMID38627288
PMCPMC11399218
OpenAlexW4394842687

What OpenQuestion holds

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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.