Evidence map›Paper›PMID 31833014›Full record

ArticleMagma (New York, N.Y.)2020

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

Fabio Nery, Charlotte E Buchanan, Anita A Harteveld, Aghogho Odudu, Octavia Bane, Eleanor F Cox, Katja Derlin, H Michael Gach, Xavier Golay, Marcel Gutberlet and 16 more

Abstract readConsensus Statement
PubMed Full text at PMC Publisher
In one paragraph

Article in Magma (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

76 citing papers in PubMed.

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16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Fabio NeryDevelopmental Imaging and Biophysics Section, UCL Great Ormond Street Institute of Child Health, London, UK.
Charlotte E BuchananSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
Anita A HarteveldDepartment of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Aghogho OduduDivision of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Octavia BaneTranslational and Molecular Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Eleanor F CoxSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
Katja DerlinDepartment of Radiology, Hannover Medical School, Hannover, Germany.
H Michael GachDepartments of Radiation Oncology, Radiology, and Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Xavier GolayDepartment of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK.
Marcel GutberletDepartment of Radiology, Hannover Medical School, Hannover, Germany.
Christoffer LaustsenMR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Alexandra LjimaniDepartment of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Ananth J MadhuranthakamDepartment of Radiology and Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, USA.
Ivan PedrosaDepartment of Radiology and Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, USA.
Pottumarthi V PrasadDepartment of Radiology, Center for Advanced Imaging, NorthShore University Health System, Evanston, IL, USA.
Philip M RobsonTranslational and Molecular Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kanishka SharmaImaging Biomarkers Group, Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK.
Steven SourbronImaging Biomarkers Group, Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK.
Manuel TasoDivision of MRI Research, Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
David L ThomasDepartment of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK.
Danny J J WangStevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA.
Jeff L ZhangA.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
David C AlsopDivision of MRI Research, Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Sean B FainDepartments of Medical Physics, Radiology, and Biomedical Engineering, University of Wisconsin, Madison, Madison, USA.
Susan T FrancisSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
María A Fernández-SearaDepartment of Radiology, Clínica Universidad de Navarra, Pamplona, Spain. mfseara@unav.es.ORCID http://orcid.org/0000-0001-8536-6295

Funding

University of Texas Southwestern Medical Center SPORE in Kidney CancerP50CA196516 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Payal Kapur, Payal Kapur · 2016 to 2026
$24.7M
NON-INVASIVE PHYSIOLOGIC PREDICTORS OF AGGRESSIVENESS IN RENAL CELL CARCINOMAR01CA154475 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI PEDROSA, IVAN · 2011 to 2024
$4.3M
Quantitative Non-Contrast Perfusion using Arterial Spin Labeling for Assessment of Cancer Therapy ResponseU01CA207091 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MADHURANTHAKAM, ANANTH J, MALDJIAN, JOSEPH A · 2017 to 2022
$3.1M
Renal hypoxia in the development of glomerular fibrosisR01DK109349 · NIDDK · UNIVERSITY OF UTAH · PI AY, ILKNUR · 2017 to 2020
$1.7M
Quantification of Renal Perfusion, Diffusion and Hypoxia Using Advanced MRI Methods for Assessment of Renal Transplant DysfunctionF32DK109591 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BANE, OCTAVIA · 2016 to 2018
$126k
Academy of Medical Sciences SGL015\1019European Cooperation in Science and Technology CA16103Great Ormond Street Hospital Charity V0318Innovative Medicines Initiative 115974Kidney Research UK IN_011_20170303Kidney Research UK ST1/2013Medical Research Council MR/R02264x/1Ministerio de Economía y Competitividad IEDI-2017-00826National Institute for Health Research CL-2014-06-003NCI NIH HHS P50 CA196516NCI NIH HHS P50CA196516NCI NIH HHS R01 CA154475NCI NIH HHS R01CA154475NCI NIH HHS U01 CA207091NCI NIH HHS U01CA207091Netherlands Organization for Scientific Research (NL) 14951NIDDK NIH HHS 1F32DK109591NIDDK NIH HHS F32 DK109591NIDDK NIH HHS R01 DK109349UCL Leonard Wolfson Experimental Neurology Centre (GB) PR/ylr/18575
6 · The paper itself

Abstract

objectivesThis 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.

methodsAn 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.

resultsFifty-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.

Indexed as

Cerebrovascular CirculationSpin LabelsAlgorithmsDelphi TechniqueEcho-Planar ImagingHumansImage Processing, Computer-AssistedKidneyKidney TransplantationMagnetic Resonance AngiographyMagnetic Resonance ImagingMulticenter Studies as TopicPerfusionRenal ArteryReproducibility of ResultsSignal-To-Noise RatioSpin LabelsArterial spin labellingKidneyMRIPerfusionRenal blood flow

Identifiers

PMID31833014
PMCPMC7021752

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.