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, Biomedical Electromagnetics

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 1 163-176

Subject Categories

Other Computer and Information Science

Information Science

Information Systemes, Social aspects

DOI

10.1007/s10334-019-00797-5

PubMed

31758418

More information

Latest update

2/9/2021 1