Evidence map›Paper›PMID 40518471›Full record

ArticleRadiological physics and technology2025

Predicting perceived exertion during high-intensity exercise using quantitative MRI: insights from T2* value and muscle cross-sectional area.

Shuhei Shibukawa, Daisuke Yoshimaru, Yoshinori Hiyama, Tatsunori Saho, Takuya Ozawa, Keisuke Usui, Masami Goto, Hajime Sakamoto, Shinsuke Kyogoku, Hiroyuki Daida

Abstract read
PubMed Publisher
In one paragraph

Article in Radiological physics and technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. 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
    Article
  2. 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

10 authors.

Shuhei ShibukawaFaculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan. shuhei.shibu@gmail.com.ORCID http://orcid.org/0000-0001-8638-7522
Daisuke YoshimaruDivision of Regenerative Medicine, Jikei University School of Medicine, Minato, Japan.
Yoshinori HiyamaFaculty of Health Science, Department of Physical Therapy, Juntendo University, Tokyo, Japan.
Tatsunori SahoFaculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan.
Takuya OzawaDepartment of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Keisuke UsuiFaculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan.
Masami GotoFaculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan.
Hajime SakamotoFaculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan.
Shinsuke KyogokuFaculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan.
Hiroyuki DaidaFaculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan.

Funding

Japan Society for the Promotion of Science JP21K21260Japan Society for the Promotion of Science JP22K17716
6 · The paper itself

Abstract

This study aimedto investigate the relationship between MRI-derived skeletal muscle biomarkers and subjective exercise intensity, measured by the Rating of Perceived Exertion (RPE). Both T2* value and CSA showed significant time-dependent changes following exercise. The percent change (PC) in T2* immediately after exercise (T2* PC-post/pre) was most strongly associated with RPE (ρ = 0.45,p < 0.01), while CSA showed a weaker correlation. Muscle strength was not significantly associated with RPE.Random forest analysis identified T2* PC-post/pre as the most important predictor of RPE, supported by partial dependence plots showing a nonlinear increase in RPE with higher T2* value changes. T2* value changes after exercise reflect metabolic stress and serve as a more specific predictor of RPE than CSA or muscle strength. These findings highlight the potential of T2* value as a non-invasive biomarker for assessing subjective exercise intensity.

Indexed as

ExerciseMagnetic Resonance ImagingMuscle, SkeletalPerceptionPhysical ExertionAdultFemaleHumansMaleYoung AdultMagnetic resonance imagingMuscle cross-sectional areaPerceived exertionSkeletal muscleT2* mapping

Identifiers

PMID40518471

What Socratic 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 Socratic graph.