Evidence map›Paper›PMID 37095592›Full record

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

Imaging biomarkers of cerebral edema automatically extracted from routine CT scans of large vessel occlusion strokes.

Rajat Dhar, Atul Kumar, Yasheng Chen, Yelyzaveta Begunova, Madelynne Olexa, Ayush Prasad, Grace Carey, Isabella Gonzalez, Kunal Bhatia, Mohammad Hamed and 4 more

Open access · bronzeAbstract 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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Observational
  5. Article
  6. Review
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

14 authors at 4 institutions in 1 country.

Rajat DharDepartment of Neurology, Washington University School of Medicine, Saint Louis, Missouri, USA.ORCID 0000-0002-5167-5097
Atul KumarDepartment of Neurology, Washington University School of Medicine, Saint Louis, Missouri, USA.
Yasheng ChenDepartment of Neurology, Washington University School of Medicine, Saint Louis, Missouri, USA.
Yelyzaveta BegunovaDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
Madelynne OlexaDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
Ayush PrasadDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
Grace CareyDepartment of Neurology, Washington University School of Medicine, Saint Louis, Missouri, USA.
Isabella GonzalezDepartment of Neurology, Washington University School of Medicine, Saint Louis, Missouri, USA.
Kunal BhatiaDepartment of Neurology, Washington University School of Medicine, Saint Louis, Missouri, USA.ORCID 0000-0003-4562-7758
Mohammad HamedDepartment of Neurology, The Ohio State University, Columbus, Ohio, USA.
Laura HeitschDepartment of Emergency Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA.
Shraddha MainaliDepartment of Neurology, Virginia Commonwealth University, Richmond, Virginia, USA.
Nils PetersenDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
Jin-Moo LeeDepartment of Neurology, Washington University School of Medicine, Saint Louis, Missouri, USA.
Washington University in St. Louis · USYale University · USThe Ohio State University · USVirginia Commonwealth University · US

Funding

Genetic Architecture of Cerebral Edema after StrokeR01NS121218 · NINDS · WASHINGTON UNIVERSITY · PI Rajat Raj Dhar · 2022 to 2026
$1.9M
GENETICS AND PREDICTION OF CEREBRAL EDEMA AFTER HEMISPHERIC STROKEK23NS099440 · NINDS · WASHINGTON UNIVERSITY · PI DHAR, RAJAT · 2017 to 2021
$890k
NIH HHS K23NS099440NIH HHS R01NS121218NINDS NIH HHS K23 NS099440NINDS NIH HHS R01 NS121218
6 · The paper itself

Abstract

background and purposeVolumetric and densitometric biomarkers have been proposed to better quantify cerebral edema after stroke, but their relative performance has not been rigorously evaluated.

methodsPatients with large vessel occlusion stroke from three institutions were analyzed. An automated pipeline extracted brain, cerebrospinal fluid (CSF), and infarct volumes from serial CTs. Several biomarkers were measured: change in global CSF volume from baseline (ΔCSF); ratio of CSF volumes between hemispheres (CSF ratio); and relative density of infarct region compared with mirrored contralateral region (net water uptake [NWU]). These were compared to radiographic standards, midline shift and relative hemispheric volume (RHV) and malignant edema, defined as deterioration resulting in need for osmotic therapy, decompressive surgery, or death.

resultsWe analyzed 255 patients with 210 baseline CTs, 255 24-hour CTs, and 81 72-hour CTs. Of these, 35 (14%) developed malignant edema and 63 (27%) midline shift. CSF metrics could be calculated for 310 (92%), while NWU could only be obtained from 193 (57%). Peak midline shift was correlated with baseline CSF ratio (ρ = -.22) and with CSF ratio and ΔCSF at 24 hours (ρ = -.55/.63) and 72 hours (ρ = -.66/.69), but not with NWU (ρ = .15/.25). Similarly, CSF ratio was correlated with RHV (ρ = -.69/-.78), while NWU was not. Adjusting for age, National Institutes of Health Stroke Scale, tissue plasminogen activator treatment, and Alberta Stroke Program Early CT Score, CSF ratio (odds ratio [OR]: 1.95 per 0.1, 95% confidence interval [CI]: 1.52-2.59) and ΔCSF at 24 hours (OR: 1.87 per 10%, 95% CI: 1.47-2.49) were associated with malignant edema.

conclusionCSF volumetric biomarkers can be automatically measured from almost all routine CTs and correlate better with standard edema endpoints than net water uptake.

Indexed as

Brain EdemaBrain IschemiaIschemic StrokeStrokeBiomarkersEdemaHumansInfarctionRetrospective StudiesTissue Plasminogen ActivatorTomography, X-Ray ComputedWaterBiomarkersTissue Plasminogen ActivatorWaterbiomarkersbrain watercerebral edemacerebrospinal fluidcomputed tomographymidline shiftstroke

Identifiers

PMID37095592
PMCPMC10524672
OpenAlexW4366989885

What OpenQuestion holds

Textmetadata
LicenceTDM
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.