Evidence map›Paper›PMID 22684343›Full record

SynthesisEuropean radiology2012

A systematic review of the utility of 1.5 versus 3 Tesla magnetic resonance brain imaging in clinical practice and research.

Joanna M Wardlaw, Will Brindle, Ana M Casado, Kirsten Shuler, Moira Henderson, Brenda Thomas, Jennifer Macfarlane, Susana Muñoz Maniega, Katherine Lymer, Zoe Morris and 19 more

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European radiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
5.0field-weighted citation impact, top 5% 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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Magnetic resonance imaging for assessment of cerebrovascular reactivity in cerebral small vessel disease: A systematic review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2016
    Pooled it
  3. Pooled it
  4. Trial
  5. Clinical and MRI factors influencing interobserver delineation variability of brain metastases before stereotactic radiotherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026
    Article
  6. How alexithymia shapes functional networks: Insights from a general population study.European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. 3 Tesla magnetic resonance imaging in patients with cardiac implantable electronic devices: a single centre experience.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. 3 T: the good, the bad and the ugly.The British journal of radiology · 2022
    Review
  17. Article
  18. Review
  19. Article
  20. Response to Letter to Editor.Neuro-oncology · 2020
    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

29 authors at 10 institutions in 1 country.

Joanna M WardlawScottish Imaging Network, A Platform for Scientific Excellence Collaboration, Edinburgh, UK. joanna.wardlaw@ed.ac.uk
Will Brindle
Ana M Casado
Kirsten Shuler
Moira Henderson
Brenda Thomas
Jennifer Macfarlane
Susana Muñoz Maniega
Katherine Lymer
Zoe Morris
Cyril Pernet
William Nailon
Trevor Ahearn
Abdul Nashirudeen Mumuni
Carlos Mugruza
John McLean
Goultchira Chakirova
Yuehui Terry Tao
Johanna Simpson
Andrew C Stanfield
Harriet Johnston
Jehill Parikh
Natalie A Royle
Janet De Wilde
Mark E Bastin
Nick Weir
Andrew Farrall
Maria C Valdes Hernandez
SINAPSE Collaborative Group
University of Edinburgh · GBUniversity of Dundee · GBEdinburgh Royal Infirmary · GBUniversity of Aberdeen · GBUniversity of St Andrews · GBUniversity of Stirling · GBChildren in Scotland · GBHigher Education Academy · GBUniversity of Glasgow · GBWestern General Hospital · GB

Funding

Medical Research Council G0700704Medical Research Council G0701120Medical Research Council G1001245
6 · The paper itself

Abstract

objectiveMRI at 3 T is said to be more accurate than 1.5 T MR, but costs and other practical differences mean that it is unclear which to use.

methodsWe systematically reviewed studies comparing diagnostic accuracy at 3 T with 1.5 T. We searched MEDLINE, EMBASE and other sources from 1 January 2000 to 22 October 2010 for studies comparing diagnostic accuracy at 1.5 and 3 T in human neuroimaging. We extracted data on methodology, quality criteria, technical factors, subjects, signal-to-noise, diagnostic accuracy and errors according to QUADAS and STARD criteria.

resultsAmongst 150 studies (4,500 subjects), most were tiny, compared old 1.5 T with new 3 T technology, and only 22 (15 %) described diagnostic accuracy. The 3 T images were often described as "crisper", but we found little evidence of improved diagnosis. Improvements were limited to research applications [functional MRI (fMRI), spectroscopy, automated lesion detection]. Theoretical doubling of the signal-to-noise ratio was not confirmed, mostly being 25 %. Artefacts were worse and acquisitions took slightly longer at 3 T.

conclusionObjective evidence to guide MRI purchasing decisions and routine diagnostic use is lacking. Rigorous evaluation accuracy and practicalities of diagnostic imaging technologies should be the routine, as for pharmacological interventions, to improve effectiveness of healthcare. KEY POINTS : • Higher field strength MRI may improve image quality and diagnostic accuracy. • There are few direct comparisons of 1.5 and 3 T MRI. • Theoretical doubling of the signal-to-noise ratio in practice was only 25 %. • Objective evidence of improved routine clinical diagnosis is lacking. • Other aspects of technology improved images more than field strength.

Indexed as

Biomedical ResearchBrainBrain MappingDiagnostic ImagingHumansMagnetic Resonance ImagingMultiple SclerosisNeoplasmsNeuroimagingPredictive Value of TestsReproducibility of ResultsResearch DesignSignal-To-Noise Ratio

Identifiers

PMID22684343
OpenAlexW1964031016

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.