TY - JOUR
T1 - Consensus-based technical recommendations for clinical translation of renal ASL MRI
AU - Nery, Fabio
AU - Buchanan, Charlotte E.
AU - Harteveld, Anita A.
AU - Odudu, Aghogho
AU - Bane, Octavia
AU - Cox, Eleanor F.
AU - Derlin, Katja
AU - Gach, H. Michael
AU - Golay, Xavier
AU - Gutberlet, Marcel
AU - Laustsen, Christoffer
AU - Ljimani, Alexandra
AU - Madhuranthakam, Ananth J.
AU - Pedrosa, Ivan
AU - Prasad, Pottumarthi V.
AU - Robson, Philip M.
AU - Sharma, Kanishka
AU - Sourbron, Steven
AU - Taso, Manuel
AU - Thomas, David L.
AU - Wang, Danny J.J.
AU - Zhang, Jeff L.
AU - Alsop, David C.
AU - Fain, Sean B.
AU - Francis, Susan T.
AU - Fernández-Seara, María A.
N1 - Funding Information:
This article is based upon work from the COST Action CA16103 Magnetic Resonance Imaging Biomarkers for Chronic Kidney Disease (PARENCHIMA), funded by COST (European Cooperation in Science and Technology). For additional information, please visit PARENCHIMA project website: https://www.renalmri.org/ .
Funding Information:
F.N. funding from the Great Ormond Street Hospital Children’s Charity (V0318), Kidney Research UK (ST1/2013) and Medical Research Council (MR/R02264x/1). A.O. funding from NIHR Clinical Lectureship (CL-2014-06-003) and Academy of Medical Sciences (SGL0151019). C.E.B and S.T.F. funding from Medical Research Council (MR/R02264x/1) and Kidney Research UK (IN_011_20170303). M.A.F.S. funding from the Spanish Ministry of Economy and Competitiveness (IEDI-2017-00826). O.B. funding (2016-2018) from the National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases individual fellowship 1F32DK109591. A.A.H. funding from the Netherlands Organization for Scientific Research (14951). K.S. and S.S funding from Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 115974. DLT is supported by the UCL Leonard Wolfson Experimental Neurology Centre (PR/ylr/18575). DLT and XG acknowledge funding from the National Institute for Health Research University College London Hospitals Biomedical Research Centre. K.S. was supported by the Biomarker Enterprise to Attack Diabetic Kidney Disease project funded by the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement 115974. This joint undertaking received support from the European Union’s Horizon 2020 research and innovation programme and European Federation of Pharmaceutical Industries and Associations. AJM: funding from National Institutes of Health / National Cancer Institute, U01CA207091. IP: funding from National Institutes of Health/National Cancer Institute, U01CA207091, R01CA154475 and P50CA196516.
Publisher Copyright:
© 2019, The Author(s).
PY - 2020/2/1
Y1 - 2020/2/1
N2 - 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. 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. 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. 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.
AB - 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. 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. 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. 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.
KW - Arterial spin labelling
KW - Kidney
KW - MRI
KW - Perfusion
KW - Renal blood flow
UR - http://www.scopus.com/inward/record.url?scp=85076600582&partnerID=8YFLogxK
U2 - 10.1007/s10334-019-00800-z
DO - 10.1007/s10334-019-00800-z
M3 - Article
C2 - 31833014
AN - SCOPUS:85076600582
SN - 0968-5243
VL - 33
SP - 141
EP - 161
JO - Magnetic Resonance Materials in Physics, Biology and Medicine
JF - Magnetic Resonance Materials in Physics, Biology and Medicine
IS - 1
ER -