Consensus-based technical recommendations for clinical translation of renal T1 and T2 mapping MRI
Review article, 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.
Kidney
MRI
Biomarkers
Standardization
T1 relaxation
Consensus
T2 relaxation
Author
Ilona A. Dekkers
Leiden University
Anneloes de Boer
Utrecht University
Kaniska Sharma
University of Leeds
Eleanor F. Cox
University of Nottingham
Hildo J. Lamb
Leiden University
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
Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering
MedTech West
Antaros Medical AB
Charlotte Buchanan
University of Nottingham
Marcos Wolf
Medical University of Vienna
Christoffer Laustsen
Aarhus University
Tim Leiner
Utrecht University
Bryan Haddock
Copenhagen University Hospital
Johannes M. Hoogduin
Utrecht University
Pim Pullens
Ghent university
University Hospital of Ghent
Steven Sourbron
University of Leeds
Susan Francis
Utrecht University
Magnetic Resonance Materials in Physics, Biology, and Medicine
0968-5243 (ISSN) 1352-8661 (eISSN)
Vol. 33 1 163-176Subject Categories
Other Computer and Information Science
Information Science
Information Systemes, Social aspects
DOI
10.1007/s10334-019-00797-5
PubMed
31758418