Evidence map›Paper›PMID 28277456›Full record

ReviewTopics in magnetic resonance imaging : TMRI2017

Resting-State BOLD MRI for Perfusion and Ischemia.

Hannes Kroll, Greg Zaharchuk, Thomas Christen, Jeremy J Heit, Michael Iv

Abstract readReview
In one paragraph

Review in Topics in magnetic resonance imaging : TMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Biogenic Imaging Contrast Agents.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Non-invasive monitoring of longitudinal changes in cerebral hemodynamics in acute ischemic stroke using BOLD signal delay.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Article
  14. Imaging evaluation of acute ischemic stroke.The Journal of international medical research · 2020
    Article
  15. Article
  16. 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

5 authors.

Hannes Kroll*Department of Radiology, Division of Neuroimaging & Neurointervention †Richard M. Lucas Center for Imaging, Stanford University, Stanford, CA.
Greg Zaharchuk
Thomas Christen
Jeremy J Heit
Michael Iv

Funding

Quantifying Collateral Perfusion in Cerebrovascular DiseaseR01NS066506 · NINDS · STANFORD UNIVERSITY · PI ZAHARCHUK, GREGORY GEORGE · 2009 to 2017
$4.9M
NINDS NIH HHS R01 NS066506
6 · The paper itself

Abstract

Advanced imaging techniques including computed tomography (CT) angiography, CT perfusion, magnetic resonance (MR) angiography, MR with diffusion- and perfusion-weighted imaging, and, more recently, resting-state BOLD (Blood Oxygen Level Dependent) functional MRI (rs-fMRI) are increasingly used to evaluate patients with acute ischemic stroke. Advanced imaging allows for identification of patients with ischemic stroke and determination of the size of infarcted and potentially salvageable tissue, all of which yield crucial information for proper stroke management. The addition of rs-fMRI for ischemia adds information at the microvascular level, thereby improving the understanding of pathophysiologic mechanisms of impaired cerebral perfusion and tissue oxygenation beyond the known concepts at the macrovascular level. As such, it may further delineate functional and dysfunctional neuronal networks, guide stroke interventions, and improve prognosis and monitoring of patient outcomes.

Indexed as

HumansMagnetic Resonance ImagingOxygenStrokeOxygen

Identifiers

PMID28277456
PMCPMC5380475

What OpenQuestion holds

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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.