Evidence map›Paper›PMID 33342916›Full record

ArticleMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine2021

Detecting Mild Lower-limb Skeletal Muscle Fatigue with Stimulated-echo q-space Imaging.

Daisuke Nakashima, Junichi Hata, Yoshifumi Sone, Katsuya Maruyama, Thorsten Feiweier, James Hirotaka Okano, Morio Matsumoto, Masaya Nakamura, Takeo Nagura

Open access · diamondAbstract read
In one paragraph

Article in Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 35% 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, 4 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

9 authors at 4 institutions in 2 countries.

Daisuke NakashimaDepartment of Orthopedic Surgery, Keio University School of Medicine.
Junichi HataDivision of Regenerative Medicine, The Jikei University Graduate School ofMedicine.
Yoshifumi SoneMedical Scanning Tokyo.
Katsuya MaruyamaMRI Research and Collaboration Department, Siemens Healthcare K.K.
Thorsten FeiweierSiemens Healthcare GmbH.
James Hirotaka OkanoDivision of Regenerative Medicine, The Jikei University Graduate School ofMedicine.
Morio MatsumotoDepartment of Orthopedic Surgery, Keio University School of Medicine.
Masaya NakamuraDepartment of Orthopedic Surgery, Keio University School of Medicine.
Takeo NaguraDepartment of Orthopedic Surgery, Keio University School of Medicine.
Keio University · JPJikei University School of Medicine · JPRIKEN Center for Brain Science · JPSiemens Healthcare (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The feasibility of detecting mild exercise-related muscle fatigue via stimulated echo (STE) and q-space imaging (qsi) was evaluated. The right calves of seven healthy volunteers were subjected to mild exercise loading, and qsi was generated using spin echo (Δ: 45.6 ms) and three different STE (Δ: 114, 214, and 414 ms) acquisitions. We concluded that qsi with an increased STE diffusion time can detect mild fatigue in the gastrocnemius muscle.

Indexed as

Diffusion Magnetic Resonance ImagingEcho-Planar ImagingAnimalsCattleDiffusionHealthy VolunteersHumansMuscle, Skeletaldiffusion-weighted imagingmuscle fatigueq-space imagingstimulated echo

Identifiers

PMID33342916
PMCPMC8922348
OpenAlexW3115971999

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.