Evidence map›Paper›PMID 31871296›Full record

ArticleNeurology(R) neuroimmunology & neuroinflammation2020

Diffusion basis spectrum imaging provides insights into MS pathology.

Peng Sun, Ajit George, Dana C Perantie, Kathryn Trinkaus, Zezhong Ye, Robert T Naismith, Sheng-Kwei Song, Anne H Cross

Open access · goldAbstract read
In one paragraph

Article in Neurology(R) neuroimmunology & neuroinflammation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 36 citations in OpenAlex.

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  14. Magnetic resonance imaging of the monkey fetal brain in utero.Investigative magnetic resonance imaging · 2022
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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

8 authors at 1 institution in 1 country.

Peng SunFrom the Radiology (P.S., A.G., Z.Y., S.-K.S.), Washington University in Saint Louis, MO; Neurology (D.C.P., R.T.N., A.H.C.), Washington University in Saint Louis, MO; and Biostatistics Shared Resource (K.T.), Washington University in Saint Louis, Siteman Cancer Center, Washington University School of Medicine, St Louis, MO.
Ajit GeorgeFrom the Radiology (P.S., A.G., Z.Y., S.-K.S.), Washington University in Saint Louis, MO; Neurology (D.C.P., R.T.N., A.H.C.), Washington University in Saint Louis, MO; and Biostatistics Shared Resource (K.T.), Washington University in Saint Louis, Siteman Cancer Center, Washington University School of Medicine, St Louis, MO.
Dana C PerantieFrom the Radiology (P.S., A.G., Z.Y., S.-K.S.), Washington University in Saint Louis, MO; Neurology (D.C.P., R.T.N., A.H.C.), Washington University in Saint Louis, MO; and Biostatistics Shared Resource (K.T.), Washington University in Saint Louis, Siteman Cancer Center, Washington University School of Medicine, St Louis, MO.
Kathryn TrinkausFrom the Radiology (P.S., A.G., Z.Y., S.-K.S.), Washington University in Saint Louis, MO; Neurology (D.C.P., R.T.N., A.H.C.), Washington University in Saint Louis, MO; and Biostatistics Shared Resource (K.T.), Washington University in Saint Louis, Siteman Cancer Center, Washington University School of Medicine, St Louis, MO.
Zezhong YeFrom the Radiology (P.S., A.G., Z.Y., S.-K.S.), Washington University in Saint Louis, MO; Neurology (D.C.P., R.T.N., A.H.C.), Washington University in Saint Louis, MO; and Biostatistics Shared Resource (K.T.), Washington University in Saint Louis, Siteman Cancer Center, Washington University School of Medicine, St Louis, MO.
Robert T NaismithFrom the Radiology (P.S., A.G., Z.Y., S.-K.S.), Washington University in Saint Louis, MO; Neurology (D.C.P., R.T.N., A.H.C.), Washington University in Saint Louis, MO; and Biostatistics Shared Resource (K.T.), Washington University in Saint Louis, Siteman Cancer Center, Washington University School of Medicine, St Louis, MO.
Sheng-Kwei SongFrom the Radiology (P.S., A.G., Z.Y., S.-K.S.), Washington University in Saint Louis, MO; Neurology (D.C.P., R.T.N., A.H.C.), Washington University in Saint Louis, MO; and Biostatistics Shared Resource (K.T.), Washington University in Saint Louis, Siteman Cancer Center, Washington University School of Medicine, St Louis, MO.
Anne H CrossFrom the Radiology (P.S., A.G., Z.Y., S.-K.S.), Washington University in Saint Louis, MO; Neurology (D.C.P., R.T.N., A.H.C.), Washington University in Saint Louis, MO; and Biostatistics Shared Resource (K.T.), Washington University in Saint Louis, Siteman Cancer Center, Washington University School of Medicine, St Louis, MO. crossa@wustl.edu.
Washington University in St. Louis · US

Funding

Validating diffusion MRI biomarkers of inflammation and axon pathologies in EAEP01NS059560 · NINDS · WASHINGTON UNIVERSITY · PI SONG, SHENG-KWEI · 2008 to 2018
$11.3M
NINDS NIH HHS P01 NS059560
6 · The paper itself

Abstract

objectiveTo use diffusion basis spectrum imaging (DBSI) to assess how damage to normal-appearing white matter (NAWM) in the corpus callosum (CC) influences neurologic impairment in people with MS (pwMS).

methodsUsing standard MRI, the primary pathologies in MS of axonal injury/loss, demyelination, and inflammation are not differentiated well. DBSI has been shown in animal models, phantoms, and in biopsied and autopsied human CNS tissues to distinguish these pathologies. Fifty-five pwMS (22 relapsing-remitting, 17 primary progressive, and 16 secondary progressive) and 13 healthy subjects underwent DBSI analyses of NAWM of the CC, the main WM tract connecting the cerebral hemispheres. Tract-based spatial statistics were used to minimize misalignment. Results were correlated with scores from a battery of clinical tests focused on deficits typical of MS.

resultsNormal-appearing CC in pwMS showed reduced fiber fraction and increased nonrestricted isotropic fraction, with the most extensive abnormalities in secondary progressive MS (SPMS). Reduced DBSI-derived fiber fraction and increased DBSI-derived nonrestricted isotropic fraction of the CC correlated with worse cognitive scores in pwMS. Increased nonrestricted isotropic fraction in the body of the CC correlated with impaired hand function in the SPMS cohort.

conclusionsDBSI fiber fraction and nonrestricted isotropic fraction were the most useful markers of injury in the NAWM CC. These 2 DBSI measures reflect axon loss in animal models. Because of its ability to reveal axonal loss, as well as demyelination, DBSI may be a useful outcome measure for trials of CNS reparative treatments.

Indexed as

AdultAgedCorpus CallosumDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedMultiple Sclerosis, Chronic ProgressiveMultiple Sclerosis, Relapsing-RemittingWhite Matter

Identifiers

PMID31871296
PMCPMC7011117
OpenAlexW2995216725

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.