Evidence map›Paper›PMID 42909781›Full record

Trial reportTranslational stroke research2026

Lesion Water Content on CT Predicts 12-Month Outcome and Modifies Thrombectomy Effect in Large-Core Stroke-A Secondary Analysis of the TENSION Trial.

Gabriel Broocks, Martin Bendszus, Sophia Hohenstatt, Claus Z Simonsen, Götz Thomalla, Elke R Gizewski, Anne Hege Aamodt, Antonin Krajina, Laurent Pierot, Kamil Zeleňák and 15 more

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Translational stroke research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

25 authors.

Gabriel BroocksDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. gabriel.broocks@medicalschool-hamburg.de.ORCID https://orcid.org/0000-0002-7575-9850
Martin BendszusDepartment of Neuroradiology, National Coordinating Center Germany, University Hospital, Heidelberg, Germany.
Sophia HohenstattDepartment of Neuroradiology, National Coordinating Center Germany, University Hospital, Heidelberg, Germany.
Claus Z SimonsenNational Coordinating Center Denmark, Aarhus University Hospital, Aarhus, Denmark.
Götz ThomallaDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Elke R GizewskiDepartment of Radiology, National Coordinating Center Austria, Medical University Innsbruck, Innsbruck, Austria.
Anne Hege AamodtNational Coordinating Center Norway, Oslo University Hospital, Oslo, Norway.
Antonin KrajinaNational Coordinating Center Czech Republic, Charles University, Hradec Králové, Czech Republic.
Laurent PierotNational Coordinating Center France, Centre Hospitalier Universitaire de Reims, Reims, France.
Kamil ZeleňákComenius University's Jessenius Faculty of Medicine and University Hospital, Martin, Slovakia.
Blanca FuentesIdiPAZ Health Research Institute (La Paz University Hospital, National Coordinating Center Spain, Universidad Autónoma de Madrid), Madrid, Spain.
Michael D HillNational Coordinating Center Canada, University of Calgary, Calgary, Canada.
Andre KemmlingDepartment of Neuroradiology, University of Marburg, Marburg, Germany.
Lieselotte VandewalleDepartment of Neurology, Leuven University Hospital, Leuven, Belgium.
Anke WoutersDepartment of Neurology, Leuven University Hospital, Leuven, Belgium.
Robin LemmensDepartment of Neurology, Leuven University Hospital, Leuven, Belgium.
Jelle DemeestereDepartment of Neurology, Leuven University Hospital, Leuven, Belgium.
Wim H van ZwamDepartment of Neuroradiology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Julie StaalsDepartment of Neurology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Susanne GellißenDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jens FiehlerDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Laurens WinkelmeierDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Lukas MeyerDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Helge KniepDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
for TENSION investigators

Funding

HORIZON EUROPE European Research Council 754640
6 · The paper itself

Abstract

In large-core ischemic stroke, outcomes after thrombectomy remain heterogeneous, and imaging markers that capture treatment-modifiable injury beyond lesion extent are needed. We investigated whether lesion water content on noncontrast CT, quantified as net water uptake (NWU), predicts 12-month functional outcome and modifies the effect of endovascular thrombectomy (EVT). This secondary analysis of the randomized TENSION trial included 198 patients with admission CT suitable for NWU quantification and available 12-month modified Rankin Scale (mRS) scores; 168 had paired 24-h CT for follow-up NWU (NWUFU) assessment. The primary outcome was ordinal 12-month mRS. Multivariable ordinal and logistic regression tested associations and the NWU × EVT interaction, with discrimination assessed by area under the receiver operating characteristic curve (AUC). Median baseline NWU was 16.4% and NWUFU 28.9%. At 12 months, 45 patients (23%) had mRS 0-3 and 111 (56%) had died. Higher baseline NWU independently predicted worse 12-month mRS (adjusted common odds ratio [acOR], 1.10 per percentage-point; 95% CI, 1.05-1.16; P < 0.001) and modified the EVT effect (interaction acOR, 1.17; 95% CI, 1.06-1.30; P = 0.002), with greater discrimination than ASPECTS. NWUFU was the strongest single imaging predictor (acOR, 1.10; 95% CI, 1.06-1.14; P < 0.001; AUC, 0.78 for mRS 0-3) and superseded baseline NWU when co-modeled. Among 97 90-day survivors, higher NWUFU independently predicted late mortality (adjusted odds ratio, 1.09; 95% CI, 1.02-1.18; P = 0.019). Lesion water content may therefore provide a clinically accessible CT biomarker linking treatment-modifiable injury at baseline with realized post-treatment injury and long-term outcome.

Indexed as

Ischemic StrokeStrokeThrombectomyTomography, X-Ray ComputedWaterAgedEndovascular ProceduresFemaleHumansMaleMiddle AgedTreatment OutcomeWaterCerebral edemaEndovascular thrombectomyIschemic strokeLong-term outcomeNet water uptakeNoncontrast computed tomography

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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.