Journal article
Consensus-based technical recommendations for clinical translation of renal ASL MRI
Magma (New York, N.Y.), Vol.33(1), pp.141-161
02/2020
DOI: 10.1007/s10334-019-00800-z
PMCID: PMC7021752
PMID: 31833014
Abstract
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.
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.
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.
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
- Title: Subtitle
- Consensus-based technical recommendations for clinical translation of renal ASL MRI
- Creators
- Fabio Nery - Developmental Imaging and Biophysics Section, UCL Great Ormond Street Institute of Child Health, London, UKCharlotte E Buchanan - University of NottinghamAnita A Harteveld - University Medical Center UtrechtAghogho Odudu - University of ManchesterOctavia Bane - Icahn School of Medicine at Mount SinaiEleanor F Cox - University of NottinghamKatja Derlin - Medizinische Hochschule HannoverH Michael Gach - Washington University in St. LouisXavier Golay - Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UKMarcel Gutberlet - Medizinische Hochschule HannoverChristoffer Laustsen - Aarhus UniversityAlexandra Ljimani - Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyAnanth J Madhuranthakam - Department of Radiology and Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, USAIvan Pedrosa - Department of Radiology and Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, USAPottumarthi V Prasad - Department of Radiology, Center for Advanced Imaging, NorthShore University Health System, Evanston, IL, USAPhilip M Robson - Icahn School of Medicine at Mount SinaiKanishka Sharma - University of LeedsSteven Sourbron - University of LeedsManuel Taso - Beth Israel Deaconess Medical CenterDavid L Thomas - Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UKDanny J J Wang - Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USAJeff L Zhang - Harvard Medical SchoolDavid C Alsop - Beth Israel Deaconess Medical CenterSean B Fain - University of Wisconsin–MadisonSusan T Francis - University of NottinghamMaría A Fernández-Seara - Clinica Universidad de Navarra
- Resource Type
- Journal article
- Publication Details
- Magma (New York, N.Y.), Vol.33(1), pp.141-161
- DOI
- 10.1007/s10334-019-00800-z
- PMID
- 31833014
- PMCID
- PMC7021752
- NLM abbreviation
- MAGMA
- ISSN
- 0968-5243
- eISSN
- 1352-8661
- Grant note
- U01CA207091 / NCI NIH HHS 115974 / Innovative Medicines Initiative R01CA154475 / NCI NIH HHS P50CA196516 / NCI NIH HHS MR/R02264x/1 / Medical Research Council U01 CA207091 / NCI NIH HHS CA16103 / European Cooperation in Science and Technology CL-2014-06-003 / National Institute for Health Research SGL015\1019 / Academy of Medical Sciences 14951 / Netherlands Organization for Scientific Research (NL) IN_011_20170303 / Kidney Research UK 1F32DK109591 / NIDDK NIH HHS R01 DK109349 / NIDDK NIH HHS IEDI-2017-00826 / Ministerio de Economía y Competitividad V0318 / Great Ormond Street Hospital Charity PR/ylr/18575 / UCL Leonard Wolfson Experimental Neurology Centre (GB) ST1/2013 / Kidney Research UK
- Language
- English
- Date published
- 02/2020
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Health, Sport, and Human Physiology
- Record Identifier
- 9984274958402771
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