Evidence map›Paper›PMID 37054976›Full record

ArticleNeuropediatrics2023

Clinical Significance of Diffusion Tensor Imaging in Metachromatic Leukodystrophy.

Lucas Bastian Amedick, Pascal Martin, Judith Beschle, Manuel Strölin, Marko Wilke, Nicole Wolf, Petra Pouwels, Gisela Hagberg, Uwe Klose, Thomas Naegele and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Neuropediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Review
  4. 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

12 authors at 6 institutions in 2 countries.

Lucas Bastian AmedickDepartment of Pediatric Neurology and Developmental Medicine, University of Tuebingen, Tuebingen, Germany.
Pascal MartinDepartment of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University Hospitals Tubingen, Tubingen, Germany.ORCID 0000-0002-0678-6417
Judith BeschleDepartment of Pediatric Neurology and Developmental Medicine, University Hospital Tübingen, Tuebingen, Germany.
Manuel StrölinDepartment of Pediatric Neurology and Developmental Medicine, University of Tuebingen, Tuebingen, Germany.
Marko WilkeDepartment of Pediatric Neurology, Children's Hospital, Tübingen, Germany.
Nicole WolfDepartment of Child Neurology, Amsterdam UMC Locatie VUmc, Amsterdam, The Netherlands.ORCID 0000-0003-1721-0728
Petra PouwelsDepartment of Radiology and Nuclear Medicine, Amsterdam UMC Locatie VUmc, Amsterdam, Noord-Holland, The Netherlands.
Gisela HagbergMax-Planck-Institut für Biologische Kybernetik, Tubingen, Baden-Württemberg, Germany.
Uwe KloseDepartment of Diagnostic and Interventional Neuroradiology, Radiological Clinic, University of Tübingen, Tübingen, Germany.
Thomas NaegeleDepartment für Diagnostische und Interventionelle Neuroradiologie, Universitätsklinikum Tübingen, Tubingen, Baden-Württemberg, Germany.
Ingeborg Kraegeloh-MannKinderklinik - University Tübingen, Tübingen, Germany.
Samuel GroeschelDepartment of Pediatric Neurology and Developmental Medicine, University of Tuebingen, Tuebingen, Germany.
University of Tübingen · DEUniversity Children's Hospital Tübingen · DEAmsterdam UMC Location Vrije Universiteit Amsterdam · NLHertie Institute for Clinical Brain Research · DEMax Planck Institute for Biological Cybernetics · DEUniversitätsklinikum Tübingen · DE

Funding

German Research Foundation GR 4688/2-1Takeda Pharma AG IIR-DEU-002540
6 · The paper itself

Abstract

backgroundMetachromatic leukodystrophy (MLD) is a lysosomal enzyme deficiency disorder leading to progressive demyelination and, consecutively, to cognitive and motor decline. Brain magnetic resonance imaging (MRI) can detect affected white matter as T2 hyperintense areas but cannot quantify the gradual microstructural process of demyelination more accurately. Our study aimed to investigate the value of routine MR diffusion tensor imaging in assessing disease progression.

methodsMR diffusion parameters (apparent diffusion coefficient [ADC] and fractional anisotropy [FA]) were in the frontal white matter, central region (CR), and posterior limb of the internal capsule in 111 MR datasets from a natural history study of 83 patients (age: 0.5-39.9 years; 35 late-infantile, 45 juvenile, 3 adult, with clinical diffusion sequences of different scanner manufacturers) as well as 120 controls. Results were correlated with clinical parameters reflecting motor and cognitive function.

resultsADC values increase and FA values decrease depending on disease stage/severity. They show region-specific correlations with clinical parameters of motor and cognitive symptoms, respectively. Higher ADC levels in CR at diagnosis predicted a disease course with more rapid motor deterioration in juvenile MLD patients. In highly organized tissues such as the corticospinal tract, in particular, diffusion MR parameters were highly sensitive to MLD-associated changes and did not correlate with the visual quantification of T2 hyperintensities.

conclusionOur results show that diffusion MRI can deliver valuable, robust, clinically meaningful, and easily obtainable/accessible/available parameters in the assessment of prognosis and progression of MLD. Therefore, it provides additional quantifiable information to established methods such as T2 hyperintensity.

Indexed as

Diffusion Tensor ImagingLeukodystrophy, MetachromaticAdolescentAdultBrainChildChild, PreschoolClinical RelevanceDiffusion Magnetic Resonance ImagingHumansInfantMagnetic Resonance ImagingYoung Adult

Identifiers

PMID37054976
PMCPMC10332944
OpenAlexW4365457637

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.