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Consensus-based technical recommendations for clinical translation of renal ASL MRI.

Authors :
Nery F
Buchanan CE
Harteveld AA
Odudu A
Bane O
Cox EF
Derlin K
Gach HM
Golay X
Gutberlet M
Laustsen C
Ljimani A
Madhuranthakam AJ
Pedrosa I
Prasad PV
Robson PM
Sharma K
Sourbron S
Taso M
Thomas DL
Wang DJJ
Zhang JL
Alsop DC
Fain SB
Francis ST
Fernández-Seara MA
Source :
Magma (New York, N.Y.) [MAGMA] 2020 Feb; Vol. 33 (1), pp. 141-161. Date of Electronic Publication: 2019 Dec 12.
Publication Year :
2020

Abstract

Objectives: This study aimed at developing technical recommendations for the acquisition, processing and analysis of renal ASL data in the human kidney at 1.5 T and 3 T field strengths that can promote standardization of renal perfusion measurements and facilitate the comparability of results across scanners and in multi-centre clinical studies.<br />Methods: An international panel of 23 renal ASL experts followed a modified Delphi process, including on-line surveys and two in-person meetings, to formulate a series of consensus statements regarding patient preparation, hardware, acquisition protocol, analysis steps and data reporting.<br />Results: Fifty-nine statements achieved consensus, while agreement could not be reached on two statements related to patient preparation. As a default protocol, the panel recommends pseudo-continuous (PCASL) or flow-sensitive alternating inversion recovery (FAIR) labelling with a single-slice spin-echo EPI readout with background suppression and a simple but robust quantification model.<br />Discussion: This approach is considered robust and reproducible and can provide renal perfusion images of adequate quality and SNR for most applications. If extended kidney coverage is desirable, a 2D multislice readout is recommended. These recommendations are based on current available evidence and expert opinion. Nonetheless they are expected to be updated as more data become available, since the renal ASL literature is rapidly expanding.

Details

Language :
English
ISSN :
1352-8661
Volume :
33
Issue :
1
Database :
MEDLINE
Journal :
Magma (New York, N.Y.)
Publication Type :
Academic Journal
Accession number :
31833014
Full Text :
https://doi.org/10.1007/s10334-019-00800-z