Evidence map›Paper›PMID 29470640›Full record

ArticleEuropean radiology2018

Quantitative susceptibility mapping in combination with water-fat separation for simultaneous liver iron and fat fraction quantification.

Huimin Lin, Hongjiang Wei, Naying He, Caixia Fu, Shu Cheng, Jun Shen, Baisong Wang, Xu Yan, Chunlei Liu, Fuhua Yan

Open access · greenAbstract read
In one paragraph

Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. QSM Throughout the Body.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  5. Toward a realistic in silico abdominal phantom for QSM.Magnetic resonance in medicine · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. To measure TJournal of magnetic resonance (San Diego, Calif. : 1997) · 2020
    Article
  12. Topics on quantitative liver magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2019
    Review
  13. Quantification ofJournal of magnetic resonance imaging : JMRI · 2018
    Article
  14. Article
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

10 authors at 5 institutions in 2 countries.

Huimin LinDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, NO. 197 Ruijin Er Road, Shanghai, 200025, China.
Hongjiang WeiDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.
Naying HeDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, NO. 197 Ruijin Er Road, Shanghai, 200025, China.
Caixia FuApplication Development, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China.
Shu ChengDepartment of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jun ShenDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, NO. 197 Ruijin Er Road, Shanghai, 200025, China.
Baisong WangDepartment of Biological Statistics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xu YanMR Collaboration NE Asia, Siemens Healthcare, Shanghai, China.
Chunlei LiuDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.
Fuhua YanDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, NO. 197 Ruijin Er Road, Shanghai, 200025, China. yfh11655@rjh.com.cn.
Ruijin Hospital · CNShanghai Jiao Tong University · CNUniversity of California, Berkeley · USSiemens (China) · CNSiemens Healthcare (United States) · US

Funding

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
National Heart, Lung, and Blood Institute R21HL122759National Institute of Mental Health R01MH096979National Institute of Mental Health R24MH106096National Institute of Neurological Disorders and Stroke R01NS079653National Natural Science Foundation of China 81671649NHLBI NIH HHS R21 HL122759NIMH NIH HHS R01 MH096979NIMH NIH HHS R24 MH106096NINDS NIH HHS R01 NS079653
6 · The paper itself

Abstract

purposesTo evaluate the feasibility of simultaneous quantification of liver iron concentration (LIC) and fat fraction (FF) using water-fat separation and quantitative susceptibility mapping (QSM).

methodsForty-five patients suspected of liver iron overload (LIO) were included. A volumetric interpolated breath-hold examination sequence for QSM and FF, a fat-saturated gradient echo sequence for R

resultsMagnetic susceptibility showed strong correlation with LIC (r

conclusionsQSM has a high diagnostic performance for LIC quantification, similar to that of R KEY POINTS: • Magnetic susceptibility showed strong correlation with LIC (r

Indexed as

AdolescentAdultAgedFatty LiverFeasibility StudiesFemaleHumansIronIron OverloadLiverMagnetic Resonance SpectroscopyMaleMiddle AgedProspective StudiesROC CurveWaterIronWaterFatty liverIron overloadLiverMagnetic resonance imagingProton magnetic resonance spectroscopy

Identifiers

PMID29470640
PMCPMC6030453
OpenAlexW2789824258

What OpenQuestion holds

Textmetadata
LicenceTDM
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.