Evidence map›Paper›PMID 21739219›Full record

ArticleNeuroradiology2012

CT and MR perfusion can discriminate severe cerebral hypoperfusion from perfusion absence: evaluation of different commercial software packages by using digital phantoms.

Ikuko Uwano, Kohsuke Kudo, Makoto Sasaki, Soren Christensen, Leif Østergaard, Kuniaki Ogasawara, Akira Ogawa

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Neuroradiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  7. The Role of Neuroimaging in the Determination of Brain Death.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2018
    Article
  8. Accuracy of Computed Tomographic Perfusion in Diagnosis of Brain Death: A Prospective Cohort Study.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  9. Article
  10. 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

7 authors.

Ikuko UwanoAdvanced Medical Research Center, Iwate Medical University, 19-1 Uchimaru, Morioka, Japan.
Kohsuke Kudo
Makoto Sasaki
Soren Christensen
Leif Østergaard
Kuniaki Ogasawara
Akira Ogawa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionComputed tomography perfusion (CTP) and magnetic resonance perfusion (MRP) are expected to be usable for ancillary tests of brain death by detection of complete absence of cerebral perfusion; however, the detection limit of hypoperfusion has not been determined. Hence, we examined whether commercial software can visualize very low cerebral blood flow (CBF) and cerebral blood volume (CBV) by creating and using digital phantoms.

methodsDigital phantoms simulating 0-4% of normal CBF (60 mL/100 g/min) and CBV (4 mL/100 g/min) were analyzed by ten software packages of CT and MRI manufacturers. Region-of-interest measurements were performed to determine whether there was a significant difference between areas of 0% and areas of 1-4% of normal flow.

resultsThe CTP software detected hypoperfusion down to 2-3% in CBF and 2% in CBV, while the MRP software detected that of 1-3% in CBF and 1-4% in CBV, although the lower limits varied among software packages.

conclusionCTP and MRP can detect the difference between profound hypoperfusion of <5% from that of 0% in digital phantoms, suggesting their potential efficacy for assessing brain death.

Indexed as

Cerebrovascular CirculationMagnetic Resonance AngiographyPhantoms, ImagingSoftwareTomography, X-Ray ComputedAlgorithmsBlood VolumeBrain DeathDiagnosis, DifferentialHumansImage Interpretation, Computer-AssistedNeuroimagingStatistics, Nonparametric

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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.