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1000 Titel
  • From research to clinical practice: a European neuroradiological survey on quantitative advanced MRI implementation
1000 Autor/in
  1. Manfrini, Elia |
  2. Smits, Marion |
  3. Thust, Steffi |
  4. Geiger, Sergej |
  5. Bendella, Zeynep |
  6. Petr, Jan |
  7. Solymosi, Laszlo |
  8. Keil, Vera C |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-01-22
1000 Erschienen in
1000 Quellenangabe
  • 31(8):6334-6341
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00330-020-07582-2 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270851/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Objective!#!Quantitative 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.!##!Methods!#!In 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.!##!Results!#!Two 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).!##!Conclusions!#!The 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.
1000 Sacherschließung
lokal Surveys and Questionnaires [MeSH]
lokal Europe [MeSH]
lokal Magnetic Resonance Imaging [MeSH]
lokal Neuroimaging
lokal Perfusion imaging
lokal Reproducibility of Results [MeSH]
lokal Germany [MeSH]
lokal Humans [MeSH]
lokal Magnetic resonance imaging
lokal Surveys and questionnaires
lokal France [MeSH]
lokal Neuro
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/TWFuZnJpbmksIEVsaWE=|https://frl.publisso.de/adhoc/uri/U21pdHMsIE1hcmlvbg==|https://frl.publisso.de/adhoc/uri/VGh1c3QsIFN0ZWZmaQ==|https://frl.publisso.de/adhoc/uri/R2VpZ2VyLCBTZXJnZWo=|https://frl.publisso.de/adhoc/uri/QmVuZGVsbGEsIFpleW5lcA==|https://frl.publisso.de/adhoc/uri/UGV0ciwgSmFu|https://frl.publisso.de/adhoc/uri/U29seW1vc2ksIExhc3psbw==|https://orcid.org/0000-0001-8699-3506
1000 Hinweis
  • DeepGreen-ID: 9c118963e66a4eda9ab5e674915e7719 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2023-05-11T12:51:45.136+0200
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1000 Zuletzt bearbeitet 2023-10-20T10:49:05.836+0200
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