Evidence map›Paper›PMID 25085346›Full record

ArticleJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2014

Magnetic resonance imaging versus computed tomography for identification and quantification of intraventricular hemorrhage.

Anna L Romanova, Alexander J Nemeth, Michael D Berman, James C Guth, Eric M Liotta, Andrew M Naidech, Matthew B Maas

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 23 citations in OpenAlex.

  1. Full-body MR imaging: a retrospective study on a novel diagnostic approach for children sustaining high-energy trauma.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022
    Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Acute pancreatitis with gradient echo T2*-weighted magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2016
    Article
  7. Article
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

7 authors at 1 institution in 1 country.

Anna L RomanovaDivision of Neurocritical Care, Department of Neurology, Northwestern University, Chicago, Illinois.
Alexander J NemethDivision of Neuroradiology, Department of Radiology, Northwestern University, Chicago, Illinois.
Michael D BermanDivision of Neurocritical Care, Department of Neurology, Northwestern University, Chicago, Illinois.
James C GuthDivision of Neurocritical Care, Department of Neurology, Northwestern University, Chicago, Illinois.
Eric M LiottaDivision of Neurocritical Care, Department of Neurology, Northwestern University, Chicago, Illinois.
Andrew M NaidechDivision of Neurocritical Care, Department of Neurology, Northwestern University, Chicago, Illinois.
Matthew B MaasDivision of Neurocritical Care, Department of Neurology, Northwestern University, Chicago, Illinois. Electronic address: mbmaas@northwestern.edu.
Northwestern University · US

Funding

NINDS NIH HHS L30 NS080176NINDS NIH HHS L30NS080176
6 · The paper itself

Abstract

backgroundIntraventricular hemorrhage (IVH) may be difficult to detect especially when in small amounts and may affect outcomes. The objective of this study was to compare the sensitivity of magnetic resonance imaging (MRI) vs computed tomography (CT) for the identification and quantification of IVH.

methodsPatients with primary intracerebral hemorrhage were enrolled into a prospective registry between December 2006 and June 2013. Diagnostic and surveillance neuroimaging studies were analyzed for the presence of IVH and quantified by Graeb score. In subjects who developed IVH and underwent both MRI and CT, each MRI was paired with the CT scan done at the closest time point, and Graeb scores were compared with the Wilcoxon signed rank test for related samples.

resultsThere were 289 subjects in the cohort with IVH found in 171. Sixty-eight pairs of MRI and CT were available for comparison. CT failed to detect IVH in 3% of cases, whereas MRI was 100% sensitive. MRI and CT yielded equal Graeb scores in 72% of the pairs, and MRI Graeb score was higher in 24% (P = .007).

conclusionsMRI identifies small volumes of IVH in cases not detected by CT and yields higher estimates of intraventricular blood volume. These data indicate that consideration of technical differences is needed when comparing images from the 2 modalities in the evaluation for IVH.

Indexed as

Magnetic Resonance ImagingTomography, X-Ray ComputedAgedCerebral HemorrhageHumansMiddle AgedProspective StudiesSensitivity and Specificitycomputed tomographyCTintracerebral hemorrhageintraventricular hemorrhagemagnetic resonance imagingMRI

Identifiers

PMID25085346
PMCPMC4214254
OpenAlexW2122536293

What OpenQuestion holds

Textmetadata
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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.