Evidence map›Paper›PMID 28295954›Full record

ReviewJournal of magnetic resonance imaging : JMRI2017

Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care.

Yi Wang, Pascal Spincemaille, Zhe Liu, Alexey Dimov, Kofi Deh, Jianqi Li, Yan Zhang, Yihao Yao, Kelly M Gillen, Alan H Wilman and 24 more

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
147citing papers in PubMed, 3 pooled it
20.5field-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

147 citing papers in PubMed, 3 syntheses or guidelines pooled it, 276 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Brain oxygen extraction fraction mapping in patients with multiple sclerosis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Trial
  5. Article
  6. Simultaneous 3-D Adiabatic TNMR in biomedicine · 2026
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87 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

34 authors at 18 institutions in 7 countries.

Yi WangDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Pascal SpincemailleDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Zhe LiuDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Alexey DimovDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Kofi DehDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Jianqi LiDepartment of Physics, East China Normal University, Shanghai, P.R. China.
Yan ZhangDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, P.R. China.
Yihao YaoDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Kelly M GillenDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Alan H WilmanDepartment of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada.
Ajay GuptaDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Apostolos John TsiourisDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Ilhami KovanlikayaDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Gloria Chia-Yi ChiangDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Jonathan W WeinsaftDivision of Cardiology, Department of Medicine, Weill Cornell Medical College, New York, New York, USA.
Lawrence TanenbaumRadNet, Inc., Los Angeles, CA, USA.
Weiwei ChenDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, P.R. China.
Wenzhen ZhuDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, P.R. China.
Shixin ChangDepartment of Radiology, Yueyang Hospital of Integrated Traditional Chinese & Western Medicine, Shanghai, P.R. China.
Min LouDepartment of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, P.R. China.
Brian H KopellDepartment of Neurosurgery, Mount Sinai Hospital, New York, New York, USA.
Michael G KaplittDepartment of Neurological Surgery, Weill Cornell Medical College, New York, New York, USA.
David DevosDepartment of Medical Pharmacology, University of Lille, Lille, France.
Toshinori HiraiDepartment of Radiology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.
Xuemei HuangDepartment of Neurology, Penn State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA.
Yukunori KorogiDepartment of Radiology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Alexander ShtilbansDepartment of Neurology, Hospital for Special Surgery, New York, New York, USA.
Geon-Ho JahngDepartment of Radiology, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul, South Korea.
Daniel PelletierDepartment of Neurology, Department of Neurology, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Susan A GauthierDepartment of Neurology and Neuroscience, Weill Cornell Medical College, New York, New York, USA.
David PittDepartment of Neurology, School of Medicine, Yale University, New Haven, Connecticut, USA.
Ashley I BushOxidation Biology Unit, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia.
Gary M BrittenhamDepartment of Pediatrics, Columbia University, Children's Hospital of New York, New York, New York, USA.
Martin R PrinceDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Cornell University · USTongji Hospital · CNIthaca College · USBio-Rad (United States) · USEast China Normal University · CNFlorey Institute of Neuroscience and Mental Health · AUInserm · FRKyung Hee University Hospital at Gangdong · KRMorgan Stanley Children's Hospital · USMount Sinai Hospital · USPenn State Milton S. Hershey Medical Center · USSecond Affiliated Hospital of Zhejiang University · CNUniversity of Alberta · CAUniversity of Miyazaki · JPUniversity of Occupational and Environmental Health Japan · JPUniversity of Southern California · USYale University · USYueyang Hospital · CN

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Multimodal MRI Markers of Nigrostriatal Pathology in Parkinson's DiseaseU01NS082151 · NINDS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI HUANG, XUEMEI · 2012 to 2016
$4.2M
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
Multiple Sclerosis Lesion Magnetic Susceptibility ActivityR01NS090464 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI WANG, YI · 2015 to 2020
$2.3M
Compact Representations of Dynamic Liver MRIR01CA181566 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SPINCEMAILLE, PASCAL · 2015 to 2019
$1.9M
MRI method for quantitatively mapping cerebral microbleedsR01NS072370 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI WANG, YI · 2011 to 2015
$1.8M
NCATS NIH HHS UL1 TR001863NCI NIH HHS R01 CA181566NINDS NIH HHS R01 NS072370NINDS NIH HHS R01 NS090464NINDS NIH HHS R01 NS095562NINDS NIH HHS U01 NS082151
6 · The paper itself

Abstract

Quantitative susceptibility mapping (QSM) has enabled magnetic resonance imaging (MRI) of tissue magnetic susceptibility to advance from simple qualitative detection of hypointense blooming artifacts to precise quantitative measurement of spatial biodistributions. QSM technology may be regarded to be sufficiently developed and validated to warrant wide dissemination for clinical applications of imaging isotropic susceptibility, which is dominated by metals in tissue, including iron and calcium. These biometals are highly regulated as vital participants in normal cellular biochemistry, and their dysregulations are manifested in a variety of pathologic processes. Therefore, QSM can be used to assess important tissue functions and disease. To facilitate QSM clinical translation, this review aims to organize pertinent information for implementing a robust automated QSM technique in routine MRI practice and to summarize available knowledge on diseases for which QSM can be used to improve patient care. In brief, QSM can be generated with postprocessing whenever gradient echo MRI is performed. QSM can be useful for diseases that involve neurodegeneration, inflammation, hemorrhage, abnormal oxygen consumption, substantial alterations in highly paramagnetic cellular iron, bone mineralization, or pathologic calcification; and for all disorders in which MRI diagnosis or surveillance requires contrast agent injection. Clinicians may consider integrating QSM into their routine imaging practices by including gradient echo sequences in all relevant MRI protocols. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2017;46:951-971.

Indexed as

ArtifactsContrast MediaMetalsHumansImage EnhancementImage Processing, Computer-AssistedMagnetic Resonance ImagingContrast MediaMetalsbiometalsquantitative susceptibility mapping

Identifiers

PMID28295954
PMCPMC5592126
OpenAlexW2593271907

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.