Evidence map›Paper›PMID 39854265›Full record

Observational studyJournal of magnetic resonance imaging : JMRI2025

Reference Values for Water-Specific T1, Intermuscular and Intramuscular Fat Content in Skeletal Muscle at 2.89 T.

Stephen J Foulkes, Mark J Haykowsky, Rachel Sherrington, Amy A Kirkham, Justin Grenier, Peter Seres, David I Paterson, Richard B Thompson

Abstract readObservational Study
In one paragraph

Observational study in Journal of magnetic resonance imaging : JMRI, 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. Article
  2. Feasibility of tagged MRI at 0.55 T.Magnetic resonance in medicine · 2026
    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

8 authors.

Stephen J FoulkesIntegrated Cardiovascular Exercise Physiology and Rehabilitation Lab, College of Health Sciences, Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada.ORCID https://orcid.org/0000-0001-7651-3740
Mark J HaykowskyIntegrated Cardiovascular Exercise Physiology and Rehabilitation Lab, College of Health Sciences, Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada.
Rachel SherringtonDepartment of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada.
Amy A KirkhamFaculty of Kinesiology & Physical Education, University of Toronto, Toronto, Ontario, Canada.
Justin GrenierDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada.
Peter SeresDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada.
David I PatersonDivision of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada.
Richard B ThompsonDepartment of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada.ORCID https://orcid.org/0000-0003-3319-4377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMRI offers quantification of proton density fat fraction (PDFF) and tissue characteristics with T1 mapping. The influence of age, sex, and the potential confounding effects of fat on T1 values in skeletal muscle in healthy adults are insufficiently known. PURPOSE: To determine the accuracy and repeatability of a saturation-recovery chemical-shift encoded multiparametric approach (SR-CSE) for quantification of T1 STUDY TYPE: Prospective observational; phantoms (NiCL POPULATIONS: A total of 130 healthy community-dwelling adults (63 male, 18-76 years) free of chronic health conditions that require regular prescription medication, and with no contraindications to MRI. FIELD STRENGTH/SEQUENCE: 2.89 T; gradient echo sequences including saturation-recovery chemical-shift encoded T1 mapping (SR-CSE); MOLLI; SASHA; CSE; and single voxel spectroscopy. ASSESSMENT: SR-CSE provided T1 STATISTICAL TESTS: Univariable and multivariable linear regression, general linear models, Bland and Altman, coefficient of variation (CV). P-value <0.05 was considered statistically significant.

resultsPhantom and in vivo validation studies showed excellent accuracy of SR-CSE T1 DATA

conclusionSR-CSE provides accurate (vs. phantoms) and repeatable assessment of water-specific T1 values and muscle and fat volumes. Conventional methods (SASHA, MOLLI) have a significant fat-modulated T1-bias. T1 PLAIN LANGUAGE SUMMARY: We developed and tested the accuracy of a new MRI approach to measure tissue damage in skeletal muscle using a method called T1 mapping. The approach also provided matching images of fat within the muscle. We measured T1 values and muscle fat volumes in the thighs of 130 healthy adults to define normal values in healthy people and to understand if these values are influenced by age, sex, or weight. We found that our MRI technique accurately measured T1 values and fat volumes within muscle and we defined normal ranges of values, which were different in healthy males and females. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY: Stage 1.

Indexed as

Adipose TissueMagnetic Resonance ImagingMuscle, SkeletalAdolescentAdultAgedFemaleHumansMaleMiddle AgedPhantoms, ImagingProspective StudiesReference ValuesReproducibility of ResultsWaterYoung AdultWaterMOLLIMRIPDFFSASHAskeletal muscleSR‐CSET1 mapping

Identifiers

PMID39854265
PMCPMC12179366

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.