Evidence map›Paper›PMID 36379421›Full record

ArticleNeuroImage2022

Comparing myelin-sensitive magnetic resonance imaging measures and resulting g-ratios in healthy and multiple sclerosis brains.

Ronja C Berg, Aurore Menegaux, Thomas Amthor, Guillaume Gilbert, Maria Mora, Sarah Schlaeger, Viola Pongratz, Markus Lauerer, Christian Sorg, Mariya Doneva and 3 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. TAnnals of clinical and translational neurology · 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

13 authors at 4 institutions in 2 countries.

Ronja C BergTechnical University of Munich, School of Medicine, Department of Diagnostic and Interventional Neuroradiology, Munich, Germany; Technical University of Munich, School of Medicine, Department of Neurology, Munich, Germany. Electronic address: ronja.berg@tum.de.
Aurore MenegauxTechnical University of Munich, School of Medicine, Department of Diagnostic and Interventional Neuroradiology, Munich, Germany; Technical University of Munich, School of Medicine, TUM Neuroimaging Center, Munich, Germany.
Thomas AmthorPhilips Research Europe, Hamburg, Germany.
Guillaume GilbertMR Clinical Science, Philips Healthcare, Mississauga, ON, Canada.
Maria MoraTechnical University of Munich, School of Medicine, Department of Diagnostic and Interventional Neuroradiology, Munich, Germany.
Sarah SchlaegerTechnical University of Munich, School of Medicine, Department of Diagnostic and Interventional Neuroradiology, Munich, Germany.
Viola PongratzTechnical University of Munich, School of Medicine, Department of Neurology, Munich, Germany; Technical University of Munich, School of Medicine, TUM Neuroimaging Center, Munich, Germany.
Markus LauererTechnical University of Munich, School of Medicine, Department of Neurology, Munich, Germany; Technical University of Munich, School of Medicine, TUM Neuroimaging Center, Munich, Germany.
Christian SorgTechnical University of Munich, School of Medicine, Department of Diagnostic and Interventional Neuroradiology, Munich, Germany; Technical University of Munich, School of Medicine, TUM Neuroimaging Center, Munich, Germany; Technical University of Munich, School of Medicine, Department of Psychiatry, Munich, Germany.
Mariya DonevaPhilips Research Europe, Hamburg, Germany.
Irene VavasourUniversity of British Columbia, Department of Radiology, Vancouver, BC, Canada.
Mark MühlauTechnical University of Munich, School of Medicine, Department of Neurology, Munich, Germany; Technical University of Munich, School of Medicine, TUM Neuroimaging Center, Munich, Germany.
Christine PreibischTechnical University of Munich, School of Medicine, Department of Diagnostic and Interventional Neuroradiology, Munich, Germany; Technical University of Munich, School of Medicine, Department of Neurology, Munich, Germany; Technical University of Munich, School of Medicine, TUM Neuroimaging Center, Munich, Germany.
Technical University of Munich · DEPhilips (Germany) · DEPhilips (Canada) · CAUniversity of British Columbia · CA

Funding

Computational Imaging Biomarkers of Multiple SclerosisR01NS112161 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI VAN LEEMPUT, KOEN · 2019 to 2023
$1.5M
NINDS NIH HHS R01 NS112161
6 · The paper itself

Abstract

The myelin concentration and the degree of myelination of nerve fibers can provide valuable information on the integrity of human brain tissue. Magnetic resonance imaging (MRI) of myelin-sensitive parameters can help to non-invasively evaluate demyelinating diseases such as multiple sclerosis (MS). Several different myelin-sensitive MRI methods have been proposed to determine measures of the degree of myelination, in particular the g-ratio. However, variability in underlying physical principles and different biological models influence measured myelin concentrations, and consequently g-ratio values. We therefore investigated similarities and differences between five different myelin-sensitive MRI measures and their effects on g-ratio mapping in the brains of both MS patients and healthy volunteers. We compared two different estimates of the myelin water fraction (MWF) as well as the inhomogeneous magnetization transfer ratio (ihMTR), magnetization transfer saturation (MTsat), and macromolecular tissue volume (MTV) in 13 patients with MS and 14 healthy controls. In combination with diffusion-weighted imaging, we derived g-ratio parameter maps for each of the five different myelin measures. The g-ratio values calculated from different myelin measures varied strongly, especially in MS lesions. While, compared to normal-appearing white matter, MTsat and one estimate of the MWF resulted in higher g-ratio values within lesions, ihMTR, MTV, and the second MWF estimate resulted in lower lesion g-ratio values. As myelin-sensitive measures provide rough estimates of myelin content rather than absolute myelin concentrations, resulting g-ratio values strongly depend on the utilized myelin measure and model used for g-ratio mapping. When comparing g-ratio values, it is, thus, important to utilize the same MRI methods and models or to consider methodological differences. Particular caution is necessary in pathological tissue such as MS lesions.

Indexed as

Multiple SclerosisWhite MatterBrainHumansMagnetic Resonance ImagingMyelin SheathWaterWaterG-ratio mappingMagnetic resonance imagingMultiple sclerosisMyelin and axonal volume fractionsMyelin imagingWhite matter lesions

Identifiers

PMID36379421
PMCPMC9931395
OpenAlexW4309047156

What OpenQuestion holds

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LicenceCC BY
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.