Evidence map›Paper›PMID 33562055›Full record

ArticleBrain sciences2021

Semi-Automatic MRI Muscle Volumetry to Diagnose and Monitor Hereditary and Acquired Polyneuropathies.

Friederike S Bähr, Burkhard Gess, Madlaine Müller, Sandro Romanzetti, Michael Gadermayr, Christiane Kuhl, Sven Nebelung, Jörg B Schulz, Maike F Dohrn

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 99% 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 citations in OpenAlex.

  1. Article
  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

9 authors at 6 institutions in 4 countries.

Friederike S BährDepartment of Neurology, Medical Faculty of the RWTH Aachen University, 52074 Aachen, Germany.ORCID 0000-0003-3667-0957
Burkhard GessDepartment of Neurology, Medical Faculty of the RWTH Aachen University, 52074 Aachen, Germany.
Madlaine MüllerDepartment of Neurology, Medical Faculty of the RWTH Aachen University, 52074 Aachen, Germany.ORCID 0000-0002-1142-9633
Sandro RomanzettiDepartment of Neurology, Medical Faculty of the RWTH Aachen University, 52074 Aachen, Germany.
Michael GadermayrInstitute of Imaging and Computer Vision, RWTH Aachen University, 52074 Aachen, Germany.
Christiane KuhlDepartment of Diagnostic and Interventional Radiology, Medical Faculty of the RWTH Aachen University, 52074 Aachen, Germany.
Sven NebelungDepartment of Diagnostic and Interventional Radiology, Medical Faculty of the RWTH Aachen University, 52074 Aachen, Germany.ORCID 0000-0002-5267-9962
Jörg B SchulzDepartment of Neurology, Medical Faculty of the RWTH Aachen University, 52074 Aachen, Germany.ORCID 0000-0002-8903-0593
Maike F DohrnDepartment of Neurology, Medical Faculty of the RWTH Aachen University, 52074 Aachen, Germany.
RWTH Aachen University · DEFachhochschule Salzburg · ATForschungszentrum Jülich · DEHeinrich Heine University Düsseldorf · DEUniversity Hospital of Bern · CHUniversity of Miami · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With emerging treatment approaches, it is crucial to correctly diagnose and monitor hereditary and acquired polyneuropathies. This study aimed to assess the validity and accuracy of magnet resonance imaging (MRI)-based muscle volumetry.Using semi-automatic segmentations of upper- and lower leg muscles based on whole-body MRI and axial T1-weighted turbo spin-echo sequences, we compared and correlated muscle volumes, and clinical and neurophysiological parameters in demyelinating Charcot-Marie-Tooth disease (CMT) (

Indexed as

biomarkerCIDPCMTMRImuscle volumeneuropathy

Identifiers

PMID33562055
PMCPMC7914808
OpenAlexW3127542175

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.