Evidence map›Paper›PMID 28097689›Full record

ArticleMagnetic resonance in medicine2017

Investigating magnetic susceptibility of human knee joint at 7 Tesla.

Hongjiang Wei, Russell Dibb, Kyle Decker, Nian Wang, Yuyao Zhang, Xiaopeng Zong, Weili Lin, Daniel B Nissman, Chunlei Liu

Open access · bronzeAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
11.2field-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

31 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
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  5. Article
  6. Review
  7. Article
  8. Quantitative susceptibility and T1Osteoarthritis and cartilage open · 2024
    Article
  9. Article
  10. QSM Throughout the Body.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  11. Article
  12. Quantitative Susceptibility Mapping versus R2*-based Histogram Analysis for Evaluating Liver Fibrosis: Preliminary Results.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Asymmetric susceptibility tensor imaging.Magnetic resonance in medicine · 2021
    Article
  20. 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

9 authors at 4 institutions in 1 country.

Hongjiang WeiBrain Imaging and Analysis Center, Duke University, Durham, North Carolina, USA.
Russell DibbCenter for In Vivo Microscopy, Duke University, Durham, North Carolina, USA.
Kyle DeckerCenter for In Vivo Microscopy, Duke University, Durham, North Carolina, USA.
Nian WangBrain Imaging and Analysis Center, Duke University, Durham, North Carolina, USA.
Yuyao ZhangBrain Imaging and Analysis Center, Duke University, Durham, North Carolina, USA.
Xiaopeng ZongDepartment of Radiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Weili LinDepartment of Radiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Daniel B NissmanDepartment of Radiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Chunlei LiuBrain Imaging and Analysis Center, Duke University, Durham, North Carolina, USA.
Duke University · USUniversity of North Carolina at Chapel Hill · USImaging Center · USUniversity of California, Berkeley · 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
Susceptibility MRI as a marker for diagnosis and clinical disability in MSR01NS079653 · NINDS · DUKE UNIVERSITY · PI LIU, CHUNLEI · 2014 to 2015
$460k
NIMH NIH HHS R01 MH096979NINDS NIH HHS R01 NS079653
6 · The paper itself

Abstract

purposeTo evaluate the magnetic susceptibility properties of different anatomical structures within the knee joint using quantitative susceptibility mapping (QSM).

methodsA collagen tissue model was simulated and ex vivo animal cartilage experiments were conducted at 9.4 Tesla (T) to evaluate the B

resultsSimulation and ex vivo animal cartilage experiments demonstrated that collagen fibrils exhibit an anisotropic susceptibility. A gradual change of magnetic susceptibility was observed in the articular cartilage from the superficial zone to the deep zone, forming a multilayer ultrastructure consistent with anisotropy of collagen fibrils. Meniscal tears caused a clear reduction of susceptibility contrast between the injured meniscus and surrounding cartilage illustrated by a loss of the sharp boundaries between the two. Moreover, QSM showed more dramatic contrast in the focal degenerated articular cartilage than R2* mapping.

conclusionThe arrangement of the collagen fibrils is significant, and likely the most dominant source of magnetic susceptibility anisotropy. Quantitative susceptibility mapping offers a means to characterize magnetic susceptibility properties of tissues in the knee joint. It is sensitive to collagen damage or degeneration and may be useful for evaluating the status of knee diseases, such as meniscal tears and cartilage disease. Magn Reson Med 78:1933-1943, 2017. © 2017 International Society for Magnetic Resonance in Medicine.

Indexed as

AdultAlgorithmsAnimalsAnisotropyCartilage, ArticularFemaleHumansKnee JointMagnetic Resonance ImagingMaleMiddle AgedModels, Biologicalcartilagekneequantitative susceptibility mapping

Identifiers

PMID28097689
PMCPMC5513801
OpenAlexW2575802093

What OpenQuestion holds

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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.