Evidence map›Paper›PMID 42340226›Full record

ArticleNMR in biomedicine2026

Characterizing Metabolic and Compositional Heterogeneity of Calf Muscle Using CEST MRI at 3 T.

Huabin Zhang, Kangli Pi, Ziyan Wang, Fan Huang, Juan Wei, Patrick Liebig, Lin Chen, Yang Zhou, Yi Zhang, Varut Vardhanabhuti and 1 more

Abstract read
In one paragraph

Article in NMR in biomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Huabin ZhangDepartment of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Kangli PiDepartment of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Ziyan WangDepartment of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Fan HuangDepartment of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.ORCID 0000-0001-7962-7647
Juan WeiMR Research Collaboration, Siemens Healthineers, Hong Kong, China.
Patrick LiebigMR Advanced Systems, Siemens Healthineers AG, Erlangen, Germany.ORCID 0000-0001-7342-3715
Lin ChenDepartment of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, School of Electronic Science and Engineering, National Model Microelectronics College, Xiamen University, Xiamen, China.ORCID 0000-0003-0108-4309
Yang ZhouShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Yi ZhangZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument and Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.ORCID 0000-0001-8738-1851
Varut VardhanabhutiDepartment of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Jianpan HuangDepartment of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

Funding

Health and Medical Research Fund 9202366National Natural Science Foundation of China 82402225Research Grants Council, University Grants Committee 27100725University of Hong Kong 109000487University of Hong Kong 109001694University of Hong Kong 204610401University of Hong Kong 204610519
6 · The paper itself

Abstract

Different human calf muscles have specialized functions, leading to inherent metabolic differences. Imaging the metabolic and compositional properties of calf muscles is important for evaluating muscle health. This study aims to characterize the metabolic and compositional heterogeneity of calf muscle by chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) at 3 T. CEST MRI was performed on 14 healthy volunteers. CEST contrasts (amide, PCr, rNOE, and MT) were extracted from segmented muscles, and used for correlation analysis with age, fat content, BMI, and muscular strength. Distinct CEST signatures were observed between deep stabilizer and superficial powerhouse muscles. Significant correlations (e.g., rNOE vs. strength) revealed the impact of adiposity on muscle physiology. This study demonstrates the feasibility of CEST MRI for noninvasively characterizing muscle-specific metabolic and compositional alterations, revealing distinct signatures between functionally distinct muscle groups and significant associations with adiposity and body composition.

Indexed as

LegMagnetic Resonance ImagingMuscle, SkeletalAdiposityAdultBody CompositionFemaleHumansMaleMiddle AgedYoung Adultadipositycalf musclechemical exchange saturation transfer–magnetic resonance imaging (CEST MRI)double‐step multi‐pool Lorentzian fitting (DMPLF)dual energy X‐ray absorptiometry (DXA)

Identifiers

PMID42340226
PMCPMC13292845

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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.