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 1 163-176

Ämneskategorier

Annan data- och informationsvetenskap

Systemvetenskap

Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning

DOI

10.1007/s10334-019-00797-5

PubMed

31758418

Mer information

Senast uppdaterat

2020-04-15