Evidence map›Paper›PMID 26844301›Full record

ArticleTomography (Ann Arbor, Mich.)2015

Quantitative Susceptibility Mapping: Contrast Mechanisms and Clinical Applications.

Chunlei Liu, Hongjiang Wei, Nan-Jie Gong, Matthew Cronin, Russel Dibb, Kyle Decker

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 5 pooled it
–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

109 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  17. Importance of RMagnetic resonance in medicine · 2026
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49 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

6 authors.

Chunlei LiuBrain Imaging and Analysis Center, Duke University School of Medicine, Durham, NC 27710; Department of Radiology, Duke University School of Medicine, Durham, NC 27710; Center for In Vivo Microscopy, Duke University School of Medicine, Durham, NC 27710.
Hongjiang WeiBrain Imaging and Analysis Center, Duke University School of Medicine, Durham, NC 27710.
Nan-Jie GongBrain Imaging and Analysis Center, Duke University School of Medicine, Durham, NC 27710.
Matthew CroninBrain Imaging and Analysis Center, Duke University School of Medicine, Durham, NC 27710.
Russel DibbCenter for In Vivo Microscopy, Duke University School of Medicine, Durham, NC 27710.
Kyle DeckerCenter for In Vivo Microscopy, Duke University School of Medicine, Durham, NC 27710.

Funding

INTEGRATED CENTER FOR IN VIVO MICROSCOPYP41EB015897 · NIBIB · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2012 to 2017
$7.4M
Training in Medical ImagingT32EB001040 · NIBIB · DUKE UNIVERSITY · PI NIGHTINGALE, KATHRYN RADABAUGH · 2003 to 2018
$4.4M
Ultra-Resolution Imaging of Brain Circuitry and its Development in Mental HealthR01MH096979 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI LIU, CHUNLEI · 2013 to 2017
$1.8M
MRI Corticography (MRCoG): Micro-scale Human Cortical ImagingR24MH106096 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN, LIU, CHUNLEI · 2014 to 2016
$1.4M
Susceptibility MRI as a marker for diagnosis and clinical disability in MSR01NS079653 · NINDS · DUKE UNIVERSITY · PI LIU, CHUNLEI · 2014 to 2015
$460k
High-resolution in vivo and non-invasive imaging of myocardial fibersR21HL122759 · NHLBI · UNIVERSITY OF CALIFORNIA BERKELEY · PI LIU, CHUNLEI · 2014 to 2015
$431k
NHLBI NIH HHS R21 HL122759NIBIB NIH HHS P41 EB015897NIBIB NIH HHS T32 EB001040NIMH NIH HHS R01 MH096979NIMH NIH HHS R24 MH106096NINDS NIH HHS R01 NS079653
6 · The paper itself

Abstract

Quantitative susceptibility mapping (QSM) is a recently developed MRI technique for quantifying the spatial distribution of magnetic susceptibility within biological tissues. It first uses the frequency shift in the MRI signal to map the magnetic field profile within the tissue. The resulting field map is then used to determine the spatial distribution of the underlying magnetic susceptibility by solving an inverse problem. The solution is achieved by deconvolving the field map with a dipole field, under the assumption that the magnetic field is a result of the superposition of the dipole fields generated by all voxels and that each voxel has its unique magnetic susceptibility. QSM provides improved contrast to noise ratio for certain tissues and structures compared to its magnitude counterpart. More importantly, magnetic susceptibility is a direct reflection of the molecular composition and cellular architecture of the tissue. Consequently, by quantifying magnetic susceptibility, QSM is becoming a quantitative imaging approach for characterizing normal and pathological tissue properties. This article reviews the mechanism generating susceptibility contrast within tissues and some associated applications.

Indexed as

Alzheimer's diseasebrainironmultiple sclerosismyelinParkinson's diseasequantitative susceptibility mapping (QSM)susceptibility tensor imaging (STI)

Identifiers

PMID26844301
PMCPMC4734903

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.