Evidence map›Paper›PMID 31953666›Full record

ArticleEuropean radiology2020

Diffusion tensor imaging combined with T2 mapping to quantify changes in the skeletal muscle associated with training and endurance exercise in competitive triathletes.

S Keller, J Yamamura, J Sedlacik, Z J Wang, P Gebert, J Starekova, E Tahir

Abstract read
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In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Associations between MR Imaging-derived Metrics under Exercise Load, Wingate Test Results, and Sprint Performance.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
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  7. Quantitative magnetic resonance imaging of paraspinal muscles for assessing chronic non-specific low back pain in young adults: a prospective case-control study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
    Article
  8. Magnetic Resonance Imaging Biomarkers of Muscle.Tomography (Ann Arbor, Mich.) · 2024
    Review
  9. Article
  10. Review
  11. Article
  12. Journal of orthopaedic translation · 2023
    Review
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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

7 authors at 3 institutions in 2 countries.

S KellerDepartment of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf (UKE), Martinistraße 52, 20246, Hamburg, Germany. sarah.keller@charite.de.ORCID http://orcid.org/0000-0001-7080-2082
J YamamuraDepartment of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf (UKE), Martinistraße 52, 20246, Hamburg, Germany.
J SedlacikDepartment of Neuroradiology, University Hospital Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany.
Z J WangDepartment of Radiology, University of Texas Southwestern Medical Center, 1935 Medical District Drive Dallas, 75235, Dallas, TX, USA.
P GebertInstitute of Biometry, Charité Universitaetsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
J StarekovaDepartment of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf (UKE), Martinistraße 52, 20246, Hamburg, Germany.
E TahirDepartment of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf (UKE), Martinistraße 52, 20246, Hamburg, Germany.
Universität Hamburg · DEChildren's Medical Center · USZimmer Biomet (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDiffusion tensor magnetic resonance imaging (DTI) and T2 mapping enable the detection of exercise-induced changes in the skeletal muscle microenvironment. This study prospectively quantified DTI metrics and T2 relaxation times of thigh muscles in competitive triathletes at rest and following a triathlon race in comparison with sedentary controls.

methodsTwenty-two triathletes (males N = 16, females N = 6) and twenty-three controls (males N = 16, females N = 7) underwent magnetic resonance imaging (MRI) on a 3 T system at baseline (time point 1; 72 h at rest). Twelve triathletes (males N = 8, females N = 4) underwent a second scan (time point 2; 3 h of completing a triathlon race). The tensor eigenvalues (λ

resultsIn comparison with the controls at time point 1, the T2 times of rectus femoris (RF, p < 0.02), adductor magnus (AM, p = 0.02), biceps femoris (BF, p < 0.001), semitendinosus (ST, p = 0.005), and semimembranosus (SM, p = 0.003) muscles were significantly increased in triathletes. At time point 2 in triathletes, the average tensor metrics (MD, λ

conclusionOur results indicate that this multiparametric MRI protocol allows detection and quantification of changes in the skeletal muscle microenvironment caused by endurance training and acute strenuous exercise. KEY POINTS: • Endurance training results in changes to the skeletal microstructure, which can be quantified using MRI-based diffusion tensor imaging. • The combined application of MRI diffusion tensor imaging and T2 mapping allows the differentiation of microstructural changes caused by active exercise or endurance training. • Environmental adaptations of the skeletal muscle caused by physical training are influenced by gender.

Indexed as

AdultAthletesDiffusion Tensor ImagingExerciseExercise ToleranceFemaleHumansMaleMuscle, SkeletalProspective StudiesThighAthletesDiffusion tensor imagingEndurance trainingMagnetic resonance imagingMuscles

Identifiers

PMID31953666
OpenAlexW2999597079

What OpenQuestion holds

Textmetadata
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.