Evidence map›Paper›PMID 26438467›Full record

ArticleNeurocritical care2016

CSF Volumetric Analysis for Quantification of Cerebral Edema After Hemispheric Infarction.

Rajat Dhar, Kristy Yuan, Tobias Kulik, Yasheng Chen, Laura Heitsch, Hongyu An, Andria Ford, Jin-Moo Lee

Abstract read
In one paragraph

Article in Neurocritical care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

35 citing papers in PubMed, 45 citations in OpenAlex.

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  11. Evaluating the interaction between hemorrhagic transformation and cerebral edema on functional outcome after ischemic stroke.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2024
    Article
  12. Article
  13. Article
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  15. Review
  16. Analysis of brain edema in RHAPSODY.International journal of stroke : official journal of the International Stroke Society · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. 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

8 authors at 2 institutions in 1 country.

Rajat DharDepartment of Neurology, Washington University School of Medicine, 660 S. Euclid Ave, Box 8111, St. Louis, MO, USA. dharr@neuro.wustl.edu.ORCID 0000-0002-5167-5097
Kristy YuanDepartment of Neurology, Washington University School of Medicine, 660 S. Euclid Ave, Box 8111, St. Louis, MO, USA.
Tobias KulikDepartment of Neurology, Washington University School of Medicine, 660 S. Euclid Ave, Box 8111, St. Louis, MO, USA.
Yasheng ChenDepartment of Radiology, University of North Carolina, Chapel Hill, NC, USA.
Laura HeitschDepartment of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Hongyu AnDepartment of Radiology, University of North Carolina, Chapel Hill, NC, USA.
Andria FordDepartment of Neurology, Washington University School of Medicine, 660 S. Euclid Ave, Box 8111, St. Louis, MO, USA.
Jin-Moo LeeDepartment of Neurology, Washington University School of Medicine, 660 S. Euclid Ave, Box 8111, St. Louis, MO, USA.
Washington University in St. Louis · USUniversity of North Carolina at Chapel Hill · US

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., KISSELA, BRETT M · 2015 to 2024
$37.5M
Washington University Institute of Clinical and Translational SciencesKL2TR000450 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$8.8M
Genetic Architecture of Acute Human Brain IschemiaR01NS085419 · NINDS · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, LEE, JIN-MOO · 2014 to 2018
$2.8M
NCATS NIH HHS KL2 TR000450NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR001425NINDS NIH HHS R01 NS085419
6 · The paper itself

Abstract

backgroundMalignant cerebral edema (CED) complicates at least 20 % of large hemispheric infarcts (LHI) and may result in neurological deterioration or death. Midline shift (MLS) is a standard but crude measure of edema severity. We propose that volumetric analysis of shifts in cerebrospinal fluid (CSF) over time provides a reliable means of quantifying the spectrum of edema severity after LHI.

methodsWe identified 38 patients from 2008 to 2014 with NIHSS ≥8, baseline CT <6 h after stroke onset, at least 1 follow-up (FU) CT, and no parenchymal hematoma. The volumes of CSF (sulci, ventricles, and cisterns) ipsilateral (IL) and contralateral (CL) to infarct on baseline and FU CTs were quantified by manually assisted outlining with MIPAV image analysis software, as was infarct volume and MLS on FU CTs. Percentage change in CSF volumes (∆CSF) from baseline to FU scans was correlated with MLS and compared in those with vs. without malignant edema (defined as hemicraniectomy, osmotic therapy, or death/neurological deterioration with MLS ≥5 mm).

results11 of 38 subjects (29 %) developed malignant edema. Neither baseline NIHSS nor CSF volume differed between those with and without edema (median NIHSS 18 vs. 13, p = 0.12, CSF volume 102 vs. 124 ml, p = 0.16). Inter-rater reliability for CSF measurements was excellent (intraclass correlation coefficient 0.97). ∆CSF correlated strongly with MLS at peak edema (r = -0.75), even adjusting for infarct volume (p = 0.009). ∆CSF was also greater in those with malignant edema [-55 % (IQR -49 to -62) vs. -36 % (-27 to -45), p = 0.004]. ∆CSF was the greatest within IL sulci [-97 % (-86 to -99) vs. -71 % (-41 to -79), p = 0.002] but also significantly greater within CL sulci in those with malignant edema [-50 % (-29 to -65) vs. -25 % (0 to -31), p = 0.014]. More than half this CSF volume reduction occurred by the time of first FU CT around 24 h after stroke, while MLS rose later.

conclusionsVolumetric CSF analysis reliably quantifies CED and distinguishes those with malignant edema and MLS from those with a more benign course after LHI. ∆CSF may provide an earlier and more sensitive indicator of edema severity across a broader dynamic range than MLS.

Indexed as

AdultAgedAged, 80 and overBrain EdemaBrain InfarctionFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesSeverity of Illness IndexTomography, X-Ray ComputedBrain edemaCerebrospinal fluidNeuroimagingStroke

Identifiers

PMID26438467
PMCPMC4821820
OpenAlexW1927888013

What OpenQuestion holds

Textmetadata
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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.