Evidence map›Paper›PMID 26289412›Full record

ReviewClinical neuroradiology2015

An Appeal to Standardize CT- and MR-Perfusion.

B Turowski, P Schramm

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Global Vascular Guidelines on the Management of Chronic Limb-Threatening Ischemia.European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery · 2019
    Article
  6. Article
  7. Volumetric analysis of intracranial vessels: a novel tool for evaluation of cerebral vasospasm.International journal of computer assisted radiology and surgery · 2019
    Article
  8. Article
  9. Article
  10. Article
  11. 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

2 authors at 2 institutions in 1 country.

B TurowskiDepartment of Diagnostic and Interventional Radiology, University Dusseldorf, 40225, Dusseldorf, Germany. bernd.turowski@uni-duesseldorf.de.
P SchrammUniversität zu Lübeck, Institut für Neuroradiologie UKSH Universitätsklinikum Schleswig-Holstein Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Deutschland. peter.schramm@uksh.de.
Heinrich Heine University Düsseldorf · DEUniversity of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple treatment options and risk assessment in cerebrovascular diseases are the actual challenges in diagnostic as well as in interventional neuroradiology.Acute ischemic stroke essentially requires rapid detection of the location and extent of infarction and tissue at risk for making treatment decisions. In the acute setting, modern multiparametric perfusion imaging protocols help to determine infarct core and adjacent penumbral tissue, and they enable the estimation of collateral flow of intra- and extracranial arteries. In subacute delayed cerebral ischemia (DCI) after subarachnoid hemorrhage (SAH) or chronic occlusive neurovascular diseases estimation of residual and collateral flow may be even more difficult.Prediction of sufficient or insufficient supply of brain tissue may be essential to balance conservative against interventional therapies. However, so far no established reliable thresholds are available for determining tissue at acute, subacute, chronic progressive, or chronic risk.Reliable and reproducible thresholds require quantitative perfusion measurements with a calibrated instrument. But the measurement instrument is not at all defined-a variety of parameter settings, different algorithms based on multiple assumptions and a wide variety of published normal and pathologic values for perfusion parameters indicate the problem. In the following text, we explain how deep the problem may be enrooted within techniques and algorithms impeding broad use of perfusion for many clinical issues.

Indexed as

AlgorithmsCerebral AngiographyCerebrovascular DisordersImage Interpretation, Computer-AssistedInternationalityMagnetic Resonance AngiographyNeuroimagingQuality Assurance, Health CareTomography, X-Ray ComputedBrainCT-PerfusionMR-PerfusionStandardization

Identifiers

PMID26289412
OpenAlexW1123078655

What OpenQuestion holds

Textmetadata
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.