Evidence map›Paper›PMID 36221942›Full record

ArticleJournal of stroke2022

Simplified Assessment of Lesion Water Uptake for Identification of Patients within 4.5 Hours of Stroke Onset: An Analysis of the MissPerfeCT Study.

Peter B Sporns, Marco Höhne, Lennart Meyer, Christos Krogias, Volker Puetz, Kolja M Thierfelder, Marco Duering, Daniel Kaiser, Sönke Langner, Alex Brehm and 10 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of stroke, 2022. 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
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. 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

20 authors at 11 institutions in 2 countries.

Peter B SpornsDepartment of Neuroradiology, Clinic of Radiology & Nuclear Medicine, University Hospital Basel, Basel, Switzerland.
Marco HöhneDepartment of Radiology, University Hospital of Münster, Westfaelische Wilhelms-University of Münster, Münster, Germany.
Lennart MeyerDepartment of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany.
Christos KrogiasDepartment of Neurology, St. Josef-Hospital, Ruhr University Bochum, Bochum, Germany.
Volker PuetzDepartment of Neurology, University Hospital Carl Gustav Carus, Dresden, Germany.
Kolja M ThierfelderDepartment of Radiology and Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Rostock, Germany.
Marco DueringMedical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland.
Daniel KaiserNeurovascular Center Dresden, University Hospital Carl Gustav Carus, Dresden, Germany.
Sönke LangnerDepartment of Radiology and Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Rostock, Germany.
Alex BrehmDepartment of Neuroradiology, Clinic of Radiology & Nuclear Medicine, University Hospital Basel, Basel, Switzerland.
Lukas T RotkopfDepartment of Radiology, German Cancer Research Center, Heidelberg, Germany.
Wolfgang G KunzDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.
Jens FiehlerDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Walter HeindelDepartment of Radiology, University Hospital of Münster, Westfaelische Wilhelms-University of Münster, Münster, Germany.
Peter SchrammDepartment of Neuroradiology, University Medical Center Schleswig-Holstein, Lübeck, Germany.
Heinz WiendlDepartment of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany.
Heike MinnerupInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Marios Nikos PsychogiosDepartment of Neuroradiology, Clinic of Radiology & Nuclear Medicine, University Hospital Basel, Basel, Switzerland.
André KemmlingDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Marburg, Marburg University, Marburg, Germany.
Jens MinnerupDepartment of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany.
University of Münster · DEUniversität Hamburg · DEUniversity Hospital Carl Gustav Carus · DEUniversity Hospital of Basel · CHUniversity of Rostock · DEGerman Cancer Research Center · DELMU Klinikum · DEPhilipps University of Marburg · DESt. Josef-Hospital · DEUniversity Hospital Schleswig-Holstein · DEUniversity of Basel · CH

Funding

Bundesministerium für Bildung und ForschungDeutsche ForschungsgemeinschaftElse Kröner-Fresenius-Center for Digital HealthElse Kröner-Fresenius-StiftungEuropean UnionEVER Pharma Jena GmbHFerrer InternationalGerman Ministry of Economy and InnovationGerman Ministry of Science and EducationGerman Research FoundationHamburgische Investitions- und FörderbankMedtronicMicroventionRoute92Siemens and PenumbraStryker
6 · The paper itself

Abstract

background and purposeMany patients with stroke cannot receive intravenous thrombolysis because the time of symptom onset is unknown. We tested whether a simple method of computed tomography (CT)-based quantification of water uptake in the ischemic tissue can identify patients with stroke onset within 4.5 hours.

methodsThis retrospective analysis of the MissPerfeCT study (August 2009 to November 2017) includes consecutive patients with known onset of symptoms from seven tertiary stroke centers. We developed a simplified algorithm based on region of interest (ROI) measurements to quantify water uptake of the ischemic lesion and thereby quantify time of symptom onset within and beyond 4.5 hours. Perfusion CT was used to identify ischemic brain tissue, and its density was measured in non-contrast CT and related to the density of the corresponding area of the contralateral hemisphere to quantify lesion water uptake.

resultsOf 263 patients, 204 (77.6%) had CT within 4.5 hours. Water uptake was significantly lower in patients with stroke onset within (6.7%; 95% confidence interval [CI], 6.0% to 7.4%) compared to beyond 4.5 hours (12.7%; 95% CI, 10.7% to 14.7%). The area under the curve for distinguishing these patient groups according to percentage water uptake was 0.744 with an optimal cut-off value of 9.5%. According to this cut-off the positive predictive value was 88.8%, sensitivity was 73.5%, specificity 67.8%, negative predictive value was 42.6%.

conclusionsIschemic stroke patients with unknown time of symptom onset can be identified as being within a timeframe of 4.5 hours using a ROI-based method to assess water uptake on admission non-contrast head CT.

Indexed as

Brain ischemiaIschemic strokeStroke

Identifiers

PMID36221942
PMCPMC9561216
OpenAlexW4298143412

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.