Evidence map›Paper›PMID 41327863›Full record

ArticleJournal of anatomy2026

Architecture of lower leg muscles in children: Reference curves and potential mechanisms of growth.

Brian V Y Chow, Suzanne Davies, Catherine Morgan, Caroline D Rae, David I Warton, Iona Novak, Ann Lancaster, Gordana C Popovic, Rodrigo R N Rizzo, Claudia Y Rizzo and 3 more

Abstract read
In one paragraph

Article in Journal of anatomy, 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

13 authors.

Brian V Y ChowNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.
Suzanne DaviesNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.
Catherine MorganCerebral Palsy Alliance Research Institute, Discipline of Child and Adolescent Health, The University of Sydney, Sydney, New South Wales, Australia.
Caroline D RaeNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.
David I WartonSchool of Mathematics and Statistics, University of New South Wales, Sydney, New South Wales, Australia.
Iona NovakCerebral Palsy Alliance Research Institute, Discipline of Child and Adolescent Health, The University of Sydney, Sydney, New South Wales, Australia.
Ann LancasterNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.
Gordana C PopovicStats Central, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, New South Wales, Australia.
Rodrigo R N RizzoNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.
Claudia Y RizzoNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.
Iain K BallPhilips Australia & New Zealand, North Ryde, New South Wales, Australia.
Robert D HerbertNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.
Bart BolsterleeNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0001-8277-5026

Funding

Australian National Health and Medical Research Council (NHMRC) APP1117192Australian National Health and Medical Research Council (NHMRC) APP1156394
6 · The paper itself

Abstract

Muscle architecture [i.e. physiological cross-sectional area (PCSA), fascicle length and pennation angle] changes significantly during childhood. Previous studies have described the architecture of selected muscles in small samples of children over narrow age ranges, but a comprehensive analysis of the distribution of muscle architectural parameters during childhood development is currently lacking. The primary aim of this study was to estimate age- and sex-conditional distributions (reference curves) of architectural parameters of seven lower leg muscles (soleus, medial gastrocnemius, lateral gastrocnemius, tibialis anterior, tibialis posterior, flexor digitorum longus and flexor hallucis longus) in typically developing children aged 5-15 years. We used anatomical and diffusion-weighted magnetic resonance imaging to quantify the three-dimensional architecture and aponeurosis dimensions of seven lower leg muscles in 192 typically developing children aged 5-15 years. Quantile regression with b-splines was used to estimate muscle- and sex-specific reference curves for PCSA, fascicle lengths and pennation angles. In the median 15-year-old, PCSAs were 3.0-4.7 times (range is across muscles and sexes), and fascicle lengths were 1.1-1.7 times that of the median 5-year-old, respectively. Thus, lower leg muscle volumes (product of PCSA and fascicle length) increase primarily through transverse growth, rather than longitudinal growth, especially in children above 5 years of age. There was considerable overlap in PCSA, fascicle length and pennation angle distributions between boys and girls at all ages. Further analysis showed that longitudinal growth of muscle-tendon units is achieved primarily by lengthening of intramuscular aponeuroses and that aponeurosis surface areas scale in proportion with PCSA. The reference curves presented here provide normative data for muscle architecture in children and provide insights into the mechanisms of childhood muscle growth.

Indexed as

LegMuscle, SkeletalAdolescentChildChild, PreschoolFemaleHumansMaleReference Valueschildhood developmentdiffusion tensor imaginggrowthmuscle architecture

Identifiers

PMID41327863
PMCPMC13238910

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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.