Evidence map›Paper›PMID 33481098›Full record

ArticleEuropean radiology2021

From research to clinical practice: a European neuroradiological survey on quantitative advanced MRI implementation.

Elia Manfrini, Marion Smits, Steffi Thust, Sergej Geiger, Zeynep Bendella, Jan Petr, Laszlo Solymosi, Vera C Keil

Abstract read
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Article
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  9. Review
  10. Article
  11. Article
  12. Exploring scenarios for implementing fast quantitative MRI.European journal of radiology open · 2025
    Article
  13. Magnetic Resonance Imaging Biomarkers of Muscle.Tomography (Ann Arbor, Mich.) · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Advanced MR Techniques for Preoperative Glioma Characterization: Part 1.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  18. Review
  19. Article
  20. Review
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

8 authors.

Elia Manfrini *Department of Neuroradiology, Bonn University Hospital, Venusberg-Campus 1, 53127, Bonn, Germany.
Marion SmitsDepartment of Radiology and Nuclear Medicine (Ne-515), Erasmus MC, PO Box 2040, 3000, CA, Rotterdam, The Netherlands.
Steffi ThustNational Hospital for Neurology and Neurosurgery, University College London Hospitals, London, UK.
Sergej GeigerDepartment of Neuroradiology, Bonn University Hospital, Venusberg-Campus 1, 53127, Bonn, Germany.
Zeynep BendellaDepartment of Neuroradiology, Bonn University Hospital, Venusberg-Campus 1, 53127, Bonn, Germany.
Jan PetrHelmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany.
Laszlo SolymosiDepartment of Neuroradiology, Bonn University Hospital, Venusberg-Campus 1, 53127, Bonn, Germany.
Vera C Keil *Department of Neuroradiology, Bonn University Hospital, Venusberg-Campus 1, 53127, Bonn, Germany. vera.keil@ukbonn.de.ORCID https://orcid.org/0000-0001-8699-3506

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveQuantitative MRI (qMRI) methods provide versatile neuroradiological applications and are a hot topic in research. The degree of their clinical implementation is however barely known. This survey was created to illuminate which and how qMRI techniques are currently applied across Europe.

methodsIn total, 4753 neuroradiologists from 27 countries received an online questionnaire. Demographic and professional data, experience with qMRI techniques in the brain and head and neck, usage, reasons for/against application, and knowledge of the QIBA and EIBALL initiatives were assessed.

resultsTwo hundred seventy-two responders in 23 countries used the following techniques clinically (mean values in %): DWI (82.0%, n = 223), DSC (67.3%, n = 183), MRS (64.3%, n = 175), DCE (43.4%, n = 118), BOLD-fMRI (42.6%, n = 116), ASL (37.5%, n = 102), fat quantification (25.0%, n = 68), T2 mapping (16.9%, n = 46), T1 mapping (15.1%, n = 41), PET-MRI (11.8%, n = 32), IVIM (5.5%, n = 15), APT-CEST (4.8%, n = 13), and DKI (3.3%, n = 9). The most frequent usage indications for any qMRI technique were tissue differentiation (82.4%, n = 224) and oncological monitoring (72.8%, n = 198). Usage differed between countries, e.g. ASL: Germany (n = 13/63; 20.6%) vs. France (n = 31/40; 77.5%). Neuroradiologists endorsed the use of qMRI because of an improved diagnostic accuracy (89.3%, n = 243), but 50.0% (n = 136) are in need of better technology, 34.9% (n = 95) wish for more communication, and 31.3% need help with result interpretation/generation (n = 85). QIBA and EIBALL were not well known (12.5%, n = 34, and 11.0%, n = 30).

conclusionsThe clinical implementation of qMRI methods is highly variable. Beyond the aspect of readiness for clinical use, better availability of support and a wider dissemination of guidelines could catalyse a broader implementation. KEY POINTS: • Neuroradiologists endorse the use of qMRI techniques as they subjectively improve diagnostic accuracy. • Clinical implementation is highly variable between countries, techniques, and indications. • The use of advanced imaging could be promoted through an increase in technical support and training of both doctors and technicians.

Indexed as

Magnetic Resonance ImagingEuropeFranceGermanyHumansReproducibility of ResultsSurveys and QuestionnairesMagnetic resonance imagingNeuroimagingPerfusion imagingSurveys and questionnaires

Identifiers

PMID33481098
PMCPMC8270851

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.