Evidence map›Paper›PMID 38247051›Full record

ArticleMagnetic resonance in medicine2024

Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro-magnetic tissue properties study group.

QSM Consensus Organization Committee, Berkin Bilgic, Mauro Costagli, Kwok-Shing Chan, Jeff Duyn, Christian Langkammer, Jongho Lee, Xu Li, Chunlei Liu, José P Marques and 9 more

Open access · bronzeAbstract readConsensus Statement
In one paragraph

Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 3 pooled it
47.3field-weighted citation impact, top 1% of its field
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

95 citing papers in PubMed, 3 syntheses or guidelines pooled it, 117 citations in OpenAlex.

  1. Pooled it
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  8. Cerebrovascular reactivity delay measured by blood oxygen level dependent magnetic resonance imaging and gas challenges: A systematic review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
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35 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 14 institutions in 8 countries.

QSM Consensus Organization Committee
Berkin BilgicMartinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.ORCID 0000-0002-9080-7865
Mauro CostagliDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, Genoa, Italy.ORCID 0000-0001-9073-1082
Kwok-Shing ChanMartinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.ORCID 0000-0001-8427-169X
Jeff DuynAdvanced MRI Section, NINDS, National Institutes of Health, Bethesda, Maryland, USA.
Christian LangkammerDepartment of Neurology, Medical University of Graz, Graz, Austria.ORCID 0000-0002-7097-9707
Jongho LeeDepartment of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0002-9485-5434
Xu LiRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-4350-3375
Chunlei LiuDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA.ORCID 0000-0001-8816-4832
José P MarquesDonders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.ORCID 0000-0001-8157-8864
Carlos MilovicSchool of Electrical Engineering (EIE), Pontificia Universidad Catolica de Valparaiso, Valparaiso, Chile.
Simon Daniel RobinsonHigh Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-7463-5162
Ferdinand SchweserBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences at the University at Buffalo, Buffalo, New York, USA.ORCID 0000-0003-0399-9211
Karin ShmueliDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.ORCID 0000-0001-7520-2975
Pascal SpincemailleMRI Research Institute, Department of Radiology, Weill Cornell Medicine, New York, New York, USA.ORCID 0000-0002-8821-1341
Sina StraubDepartment of Radiology, Mayo Clinic, Jacksonville, Florida, USA.ORCID 0000-0002-9167-8778
Peter van ZijlRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Yi WangMRI Research Institute, Departments of Radiology and Biomedical Engineering, Cornell University, New York, New York, USA.
ISMRM Electro-Magnetic Tissue Properties Study Group
Cornell University · USHarvard University · USKennedy Krieger Institute · USBuffalo Psychiatric Center · USFondazione Stella Maris · ITJacksonville College · USMedical University of Graz · ATNational Institutes of Health · USNeurosciences Institute · USPontificia Universidad Católica de Valparaíso · CLRadboud University Nijmegen · NLSeoul National University · KRThe University of Queensland · AUUniversity College London · GB

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
Magnetic Resonance Imaging Technology DevelopmentZIANS002990 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI DUYN, JEFF · 2009 to 2025
$25.5M
CONNECTOME 2.0: DEVELOPING THE NEXT GENERATION HUMAN MRI SCANNER FOR BRIDGING STUDIES OF THE MICRO-, MESO- AND MACRO-CONNECTOMEU01EB026996 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BASSER, PETER J., HUANG, SUSIE YI · 2018 to 2022
$14.2M
MRI CORTICOGRAPHY: DEVELOPING NEXT GENERATION MICROSCALE HUMAN CORTEX MRI SCANNERU01EB025162 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN, LIU, CHUNLEI · 2017 to 2021
$13.4M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2020 to 2026
$10.9M
Sleep and Circadian Dysfunction, Brain and Neurobehavioral Development in AutismP50HD103538 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI S. Ali Fatemi, Bradley L Schlaggar · 2020 to 2026
$9.9M
TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Andreia Vasconcellos Faria · 2021 to 2026
$9.9M
Clinical Features and Neuropathological Basis of Sleep Wake Behavior in Alzheimer's and PSPR01AG060477 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Lea Tenenholz Grinberg, Thomas C Neylan · 2019 to 2026
$8.2M
Robotically-actuated, low-noise, concurrent TMS-EEG-fMRI systemR01MH127104 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI LIU, CHUNLEI, LUSTIG, MICHAEL · 2021 to 2024
$6.5M
Noninvasive measurement of oxygenation using quantitative susceptibility mapping (supplement)R01HL151686 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SPINCEMAILLE, PASCAL, WEINSAFT, JONATHAN W. · 2021 to 2025
$4.7M
Imaging brain iron and protein aggregation with MRI for assessing Alzheimer's disease pathology and progressionR01AG070826 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI GRINBERG, LEA TENENHOLZ, LIU, CHUNLEI · 2021 to 2025
$3.3M
Quantitative Mapping of Substantia Nigra Iron in Parkinson's DiseaseR01NS095562 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI SHTILBANS, ALEXANDER, WANG, YI · 2016 to 2022
$3.1M
Austrian Science Fund FWF P 31452European Research Council DiSCo_MRI_SFN_770939NCATS NIH HHS UL1 TR001412NHLBI NIH HHS R01 HL151686NIA NIH HHS R01 AG060477NIA NIH HHS R01 AG063842NIA NIH HHS R01 AG070826NIBIB NIH HHS P41 EB030006NIBIB NIH HHS P41 EB031771NIBIB NIH HHS R01 EB028797NIBIB NIH HHS R01 EB032378NIBIB NIH HHS R03 EB031175NIBIB NIH HHS U01 EB025162NIBIB NIH HHS U01 EB026996NIBIB NIH HHS UG3 EB034875NICHD NIH HHS P50 HD103538NIMH NIH HHS R01 MH127104NINDS NIH HHS R01 NS095562NINDS NIH HHS R01 NS105144NINDS NIH HHS R01 NS114227
6 · The paper itself

Abstract

This article provides recommendations for implementing QSM for clinical brain research. It is a consensus of the International Society of Magnetic Resonance in Medicine, Electro-Magnetic Tissue Properties Study Group. While QSM technical development continues to advance rapidly, the current QSM methods have been demonstrated to be repeatable and reproducible for generating quantitative tissue magnetic susceptibility maps in the brain. However, the many QSM approaches available have generated a need in the neuroimaging community for guidelines on implementation. This article outlines considerations and implementation recommendations for QSM data acquisition, processing, analysis, and publication. We recommend that data be acquired using a monopolar 3D multi-echo gradient echo (GRE) sequence and that phase images be saved and exported in Digital Imaging and Communications in Medicine (DICOM) format and unwrapped using an exact unwrapping approach. Multi-echo images should be combined before background field removal, and a brain mask created using a brain extraction tool with the incorporation of phase-quality-based masking. Background fields within the brain mask should be removed using a technique based on SHARP or PDF, and the optimization approach to dipole inversion should be employed with a sparsity-based regularization. Susceptibility values should be measured relative to a specified reference, including the common reference region of the whole brain as a region of interest in the analysis. The minimum acquisition and processing details required when reporting QSM results are also provided. These recommendations should facilitate clinical QSM research and promote harmonized data acquisition, analysis, and reporting.

Indexed as

BrainImage Processing, Computer-AssistedAlgorithmsBrain MappingHeadMagnetic Resonance Imagingclinical brain researchdata acquisitiondata analysisISMRM study groupmagnetic resonance imagingquantitative susceptibility mapping

Identifiers

PMID38247051
PMCPMC10950544
OpenAlexW4391109567

What OpenQuestion holds

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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.