Consensus-based technical recommendations for clinical translation of renal T1 and T2 mapping MRI
Reviewartikel, 2020
To develop technical recommendations on the acquisition and post-processing of renal longitudinal (T1) and transverse (T2) relaxation time mapping. A multidisciplinary panel consisting of 18 experts in the field of renal T1 and T2 mapping participated in a consensus project, which was initiated by the European Cooperation in Science and Technology Action PARENCHIMA CA16103. Consensus recommendations were formulated using a two-step modified Delphi method. The first survey consisted of 56 items on T1 mapping, of which 4 reached the pre-defined consensus threshold of 75% or higher. The second survey was expanded to include both T1 and T2 mapping, and consisted of 54 items of which 32 reached consensus. Recommendations based were formulated on hardware, patient preparation, acquisition, analysis and reporting. Consensus-based technical recommendations for renal T1 and T2 mapping were formulated. However, there was considerable lack of consensus for renal T1 and particularly renal T2 mapping, to some extent surprising considering the long history of relaxometry in MRI, highlighting key knowledge gaps that require further work. This paper should be regarded as a first step in a long-term evidence-based iterative process towards ever increasing harmonization of scan protocols across sites, to ultimately facilitate clinical implementation.
T1 relaxation
MRI
Consensus
Biomarkers
Kidney
T2 relaxation
Standardization
Författare
Ilona A. Dekkers
Universiteit Leiden
Anneloes de Boer
Universiteit Utrecht
Kaniska Sharma
University of Leeds
Eleanor F. Cox
University of Nottingham
Hildo J. Lamb
Universiteit Leiden
David L. Buckley
University of Leeds
Octavia Bane
Icahn School of Medicine at Mount Sinai
David M. Morris
University of Edinburgh
Prasad
NorthShore University HealthSystem
Scott I. K. Semple
University of Edinburgh
Keith A. Gillis
University of Glasgow
Paul Hockings
MedTech West
Antaros Medical AB
Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Biomedicinsk elektromagnetik
Charlotte Buchanan
University of Nottingham
Marcos Wolf
Medizinische Universität Wien
Christoffer Laustsen
Aarhus Universitet
Tim Leiner
Universiteit Utrecht
Bryan Haddock
Copenhagen University Hospital
Johannes M. Hoogduin
Universiteit Utrecht
Pim Pullens
Universitair Ziekenhuis Gent
Universiteit Gent
Steven Sourbron
University of Leeds
Susan Francis
Universiteit Utrecht
Magnetic Resonance Materials in Physics, Biology, and Medicine
0968-5243 (ISSN) 1352-8661 (eISSN)
Vol. 33 1 163-176Ämneskategorier
Annan data- och informationsvetenskap
Systemvetenskap
Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning
DOI
10.1007/s10334-019-00797-5
PubMed
31758418