Evidence map›Paper›PMID 33462896›Full record

ArticleMuscle & nerve2021

Quantitative muscle MRI as a sensitive marker of early muscle pathology in myotonic dystrophy type 1.

Ellen van der Plas, Laurie Gutmann, Dan Thedens, Richard K Shields, Kathleen Langbehn, Zhihui Guo, Milan Sonka, Peggy Nopoulos

Open access · greenAbstract read
In one paragraph

Article in Muscle & nerve, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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 3 institutions in 1 country.

Ellen van der PlasDepartment of Psychiatry, University of Iowa Hospital & Clinics, Iowa City, Iowa, USA.
Laurie GutmannDepartment of Neurology, University of Iowa Hospital & Clinics, Iowa City, Iowa, USA.
Dan ThedensDepartment of Radiology, University of Iowa Hospital & Clinics, Iowa City, Iowa, USA.
Richard K ShieldsDepartment of Physical Therapy and Rehabilitation Science, University of Iowa Hospital & Clinics, Iowa City, Iowa, USA.
Kathleen LangbehnDepartment of Psychiatry, University of Iowa Hospital & Clinics, Iowa City, Iowa, USA.
Zhihui GuoIowa Institute for Biomedical Imaging, University of Iowa, Iowa City, Iowa, USA.
Milan SonkaIowa Institute for Biomedical Imaging, University of Iowa, Iowa City, Iowa, USA.
Peggy NopoulosDepartment of Psychiatry, University of Iowa Hospital & Clinics, Iowa City, Iowa, USA.
University of Iowa Hospitals and Clinics · USUniversity of Iowa · USIndiana University School of Medicine

Funding

Graph-Based Medical Image Segmentation in 3D and 4DR01EB004640 · NIBIB · UNIVERSITY OF IOWA · PI BUATTI, JOHN M, SONKA, MILAN · 2006 to 2022
$6.1M
Longitudinal Assessment of Brain Structure and Function in Myotonic DystrophyR01NS094387 · NINDS · UNIVERSITY OF IOWA · PI NOPOULOS, PEGGY C · 2015 to 2019
$4.1M
University of Iowa - Research 3T MRI Connectome UpgradeS10OD025025 · OD · UNIVERSITY OF IOWA · PI MAGNOTTA, VINCENT A · 2018 to 2018
$1.9M
NIBIB NIH HHS R01 EB004640NIH HHS S10 OD025025NINDS NIH HHS R01 NS094387
6 · The paper itself

Abstract

backgroundQuantitative muscle MRI as a sensitive marker of early muscle pathology and disease progression in adult-onset myotonic dystrophy type 1. The utility of muscle MRI as a marker of muscle pathology and disease progression in adult-onset myotonic dystrophy type 1 (DM1) was evaluated.

methodsThis prospective, longitudinal study included 67 observations from 36 DM1 patients (50% female), and 92 observations from 49 healthy adults (49% female). Lower-leg 3T magnetic resonance imaging (MRI) scans were acquired. Volume and fat fraction (FF) were estimated using a three-point Dixon method, and T2-relaxometry was determined using a multi-echo spin-echo sequence. Muscles were segmented automatically. Mixed linear models were conducted to determine group differences across muscles and image modality, accounting for age, sex, and repeated observations. Differences in rate of change in volume, T2-relaxometry, and FF were also determined with mixed linear regression that included a group by elapsed time interaction.

resultsCompared with healthy adults, DM1 patients exhibited reduced volume of the tibialis anterior, soleus, and gastrocnemius (GAS) (all, P < .05). T2-relaxometry and FF were increased across all calf muscles in DM1 compared to controls. (all, P < .01). Signs of muscle pathology, including reduced volume, and increased T2-relaxometry and FF were already noted in DM1 patients who did not exhibit clinical motor symptoms of DM1. As a group, DM1 patients exhibited a more rapid change than did controls in tibialis posterior volume (P = .05) and GAS T2-relaxometry (P = .03) and FF (P = .06).

conclusionsMuscle MRI renders sensitive, early markers of muscle pathology and disease progression in DM1. T2 relaxometry may be particularly sensitive to early muscle changes related to DM1.

Indexed as

Magnetic Resonance ImagingAdolescentAdultAgedBiomarkersFemaleHumansLegLongitudinal StudiesMaleMiddle AgedMuscle, SkeletalMyotonic DystrophyProspective StudiesYoung AdultBiomarkersfat fraction (FF)magnetic resonance imaging (MRI)muscle segmentationmyotonic dystrophy (DM1)T2-relaxometry

Identifiers

PMID33462896
PMCPMC8442354
OpenAlexW3122697279

What OpenQuestion holds

Textmetadata
LicenceTDM
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.