Evidence map›Paper›PMID 38483873›Full record

SynthesisPloS one2024

Intensity scaling of conventional brain magnetic resonance images avoiding cerebral reference regions: A systematic review.

Tun Wiltgen, Cuici Voon, Koen Van Leemput, Benedikt Wiestler, Mark Mühlau

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

5 authors at 2 institutions in 3 countries.

Tun WiltgenDepartment of Neurology, School of Medicine, Technical University of Munich, Munich, Germany.ORCID 0000-0002-2682-3641
Cuici VoonDepartment of Neurology, School of Medicine, Technical University of Munich, Munich, Germany.
Koen Van LeemputDepartment of Neuroscience and Biomedical Engineering, Aalto University Helsinki, Espoo, Finland.
Benedikt WiestlerDepartment of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.
Mark MühlauDepartment of Neurology, School of Medicine, Technical University of Munich, Munich, Germany.
Technical University of Munich · DEHarvard University · US

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

backgroundConventional brain magnetic resonance imaging (MRI) produces image intensities that have an arbitrary scale, hampering quantification. Intensity scaling aims to overcome this shortfall. As neurodegenerative and inflammatory disorders may affect all brain compartments, reference regions within the brain may be misleading. Here we summarize approaches for intensity scaling of conventional T1-weighted (w) and T2w brain MRI avoiding reference regions within the brain.

methodsLiterature was searched in the databases of Scopus, PubMed, and Web of Science. We included only studies that avoided reference regions within the brain for intensity scaling and provided validating evidence, which we divided into four categories: 1) comparative variance reduction, 2) comparative correlation with clinical parameters, 3) relation to quantitative imaging, or 4) relation to histology.

resultsOf the 3825 studies screened, 24 fulfilled the inclusion criteria. Three studies used scaled T1w images, 2 scaled T2w images, and 21 T1w/T2w-ratio calculation (with double counts). A robust reduction in variance was reported. Twenty studies investigated the relation of scaled intensities to different types of quantitative imaging. Statistically significant correlations with clinical or demographic data were reported in 8 studies. Four studies reporting the relation to histology gave no clear picture of the main signal driver of conventional T1w and T2w MRI sequences.

conclusionsT1w/T2w-ratio calculation was applied most often. Variance reduction and correlations with other measures suggest a biologically meaningful signal harmonization. However, there are open methodological questions and uncertainty on its biological underpinning. Validation evidence on other scaling methods is even sparser.

Indexed as

BrainMagnetic Resonance ImagingHumans

Identifiers

PMID38483873
PMCPMC10939249
OpenAlexW4392804394

What OpenQuestion holds

Textmetadata
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.