Evidence map›Paper›PMID 33015890›Full record

ArticleNMR in biomedicine2021

The impact of edema and fiber crossing on diffusion MRI metrics assessed in an ex vivo nerve phantom: Multi-tensor model vs. diffusion orientation distribution function.

Zezhong Ye, Sam E Gary, Peng Sun, Sourajit Mitra Mustafi, George Russell Glenn, Fang-Cheng Yeh, Harri Merisaari, Chunyu Song, Ruimeng Yang, Guo-Shu Huang and 5 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in NMR in biomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Heritable and experience-dependent cortical traits of reading ability.Cerebral cortex (New York, N.Y. : 1991) · 2026
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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

15 authors at 10 institutions in 5 countries.

Zezhong YeDepartment of Radiology, Washington University School of Medicine, St. Louis, Missouri, United States.ORCID 0000-0003-0369-7432
Sam E GaryMedical Scientist Training Program, University of Alabama at Birmingham, Birmingham, Alabama, United States.ORCID 0000-0001-6526-4953
Peng SunDepartment of Radiology, Washington University School of Medicine, St. Louis, Missouri, United States.
Sourajit Mitra MustafiDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, United States.
George Russell GlennDepartment of Radiology and Imaging Science, Emory University School of Medicine, Atlanta, Georgia, United States.
Fang-Cheng YehDepartment of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States.
Harri MerisaariDepartment of Diagnostic Radiology, University of Turku, Turku, Finland.
Chunyu SongDepartment of Biomedical Engineering, Washington University, St. Louis, Missouri, United States.ORCID 0000-0002-6181-4142
Ruimeng YangDepartment of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China.
Guo-Shu HuangDepartment of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Hung-Wen KaoDepartment of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Chien-Yuan LinGE Healthcare, Taipei, Taiwan.
Yu-Chien WuDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, United States.
Jens H JensenDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, United States.ORCID 0000-0003-3219-4287
Sheng-Kwei SongDepartment of Radiology, Washington University School of Medicine, St. Louis, Missouri, United States.
Washington University in St. Louis · USIndiana University School of MedicineTri-Service General Hospital · TWEmory University · USGeneral Electric (Spain) · ESGuangzhou First People's Hospital · CNMedical University of South Carolina · USUniversity of Alabama at Birmingham · USUniversity of Pittsburgh · USUniversity of Turku · FI

Funding

Validating diffusion MRI biomarkers of inflammation and axon pathologies in EAEP01NS059560 · NINDS · WASHINGTON UNIVERSITY · PI SONG, SHENG-KWEI · 2008 to 2018
$11.3M
PREDICTIVE VALUE OF DIFFUSION MRI IN CERVICAL SPONDYLOTIC MYELOPATHYR01NS047592 · NINDS · WASHINGTON UNIVERSITY · PI RAY, WILSON Z, SONG, SHENG-KWEI · 2005 to 2021
$5.8M
IMAGING OPTIC NERVE FUNCTION AND PATHOLOGYU01EY025500 · NEI · WASHINGTON UNIVERSITY · PI SONG, SHENG-KWEI · 2015 to 2019
$3.1M
Virtual Histology for Assessing MS PathologiesR01NS116091 · NINDS · WASHINGTON UNIVERSITY · PI SONG, SHENG-KWEI · 2021 to 2025
$2.2M
NEI NIH HHS U01 EY025500NINDS NIH HHS P01 NS059560NINDS NIH HHS R01 NS047592NINDS NIH HHS R01 NS116091
6 · The paper itself

Abstract

Diffusion tensor imaging (DTI) has been employed for over 2 decades to noninvasively quantify central nervous system diseases/injuries. However, DTI is an inadequate simplification of diffusion modeling in the presence of coexisting inflammation, edema and crossing nerve fibers. We employed a tissue phantom using fixed mouse trigeminal nerves coated with various amounts of agarose gel to mimic crossing fibers in the presence of vasogenic edema. Diffusivity measures derived by DTI and diffusion basis spectrum imaging (DBSI) were compared at increasing levels of simulated edema and degrees of fiber crossing. Furthermore, we assessed the ability of DBSI, diffusion kurtosis imaging (DKI), generalized q-sampling imaging (GQI), q-ball imaging (QBI) and neurite orientation dispersion and density imaging to resolve fiber crossing, in reference to the gold standard angles measured from structural images. DTI-computed diffusivities and fractional anisotropy were significantly confounded by gel-mimicked edema and crossing fibers. Conversely, DBSI calculated accurate diffusivities of individual fibers regardless of the extent of simulated edema and degrees of fiber crossing angles. Additionally, DBSI accurately and consistently estimated crossing angles in various conditions of gel-mimicked edema when compared with the gold standard (r

Indexed as

Diffusion Magnetic Resonance ImagingModels, BiologicalPhantoms, ImagingAnimalsAnisotropyDiffusion Tensor ImagingEdemaFemaleHumansMiceMice, Inbred C57BLNerve FibersTrigeminal NerveWhite Matterangular resolutionbrain tumordiffusion basis spectrum imagingdiffusion MRIdiffusion orientation distribution functionwhite matter tractography

Identifiers

PMID33015890
PMCPMC9743958
OpenAlexW3089680102

What OpenQuestion holds

Textmetadata
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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.