Evidence map›Paper›PMID 29846907›Full record

ReviewInsights into imaging2018

Clinical applications of diffusion weighted imaging in neuroradiology.

Marta Drake-Pérez, Jose Boto, Aikaterini Fitsiori, Karl Lovblad, Maria Isabel Vargas

Open access · goldAbstract readReview
In one paragraph

Review in Insights into imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

71 citing papers in PubMed, 140 citations in OpenAlex.

  1. Trial
  2. Magnetic resonance imaging.Science advances · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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 at 1 institution in 2 countries.

Marta Drake-PérezDivision of Diagnostic and Interventional Neuroradiology of Geneva University Hospitals, DISIM and Faculty of Medicine of Geneva, Rue Gabrielle-Perret-Gentil 4, 1211, Genève 14, Switzerland.ORCID http://orcid.org/0000-0002-4049-2885
Jose BotoDivision of Diagnostic and Interventional Neuroradiology of Geneva University Hospitals, DISIM and Faculty of Medicine of Geneva, Rue Gabrielle-Perret-Gentil 4, 1211, Genève 14, Switzerland.
Aikaterini FitsioriDivision of Diagnostic and Interventional Neuroradiology of Geneva University Hospitals, DISIM and Faculty of Medicine of Geneva, Rue Gabrielle-Perret-Gentil 4, 1211, Genève 14, Switzerland.
Karl LovbladDivision of Diagnostic and Interventional Neuroradiology of Geneva University Hospitals, DISIM and Faculty of Medicine of Geneva, Rue Gabrielle-Perret-Gentil 4, 1211, Genève 14, Switzerland.
Maria Isabel VargasDivision of Diagnostic and Interventional Neuroradiology of Geneva University Hospitals, DISIM and Faculty of Medicine of Geneva, Rue Gabrielle-Perret-Gentil 4, 1211, Genève 14, Switzerland. maria.i.vargas@hcuge.ch.
University of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion-weighted imaging (DWI) has revolutionised stroke imaging since its introduction in the mid-1980s, and it has also become a pillar of current neuroimaging. Diffusion abnormalities represent alterations in the random movement of water molecules in tissues, revealing their microarchitecture, and occur in many neurological conditions. DWI provides useful information, increasing the sensitivity of MRI as a diagnostic tool, narrowing the differential diagnosis, providing prognostic information, aiding in treatment planning and evaluating response to treatment. Recently, there have been several technical improvements in DWI, leading to reduced acquisition time and artefacts and enabling the development of diffusion tensor imaging (DTI) as a tool for assessing white matter. We aim to review the main clinical uses of DWI, focusing on the physiological mechanisms that lead to diffusion abnormalities. Common pitfalls will also be addressed. TEACHING POINTS: • DWI includes EPI, TSE, RESOLVE or EPI combined with reduced volume excitation. • DWI is the most sensitive sequence in stroke diagnosis and provides information about prognosis. • DWI helps in the detection of intramural haematomas (arterial dissection). • In diffusion imaging, ADC is inversely proportional to tumour cellularity. • DWI and DTI derived parameters can be used as biomarkers in different pathologies.

Indexed as

DWIInfectionInflammationMRIStroke

Identifiers

PMID29846907
PMCPMC6108979
OpenAlexW2805511526

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.