ArticleEuropean journal of neurology2024
Nerve cross-sectional area from childhood to old age: A high-resolution nerve ultrasound study.
Article in European journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Magnetic Resonance Imaging of Nerve Roots in the Diagnosis of Chronic Inflammatory Demyelinating Polyneuropathy (CIDP) - A Systematic Review and Meta-Analysis.European journal of neurology · 2026Pooled it
- Determinants of the Maximal Nerve Cross-Sectional Area and Its Role in the Separation of Entrapment and Compression Ulnar Neuropathies at the Elbow.Muscle & nerve · 2026Article
- Ultrasonographic changes in median nerve cross-sectional area in the elderly: effects of aging and type 2 diabetes.BMC geriatrics · 2025Article
- Nerve cross-sectional area from childhood to old age: A high-resolution nerve ultrasound study.European journal of neurology · 2024Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeNerve cross-sectional area (CSA) is not constant over the human lifespan. The relationship between an increasing CSA and age has been described as a linear positive correlation, but few studies have found a linear decrease in nerve size with older age. The aim of the present study was to analyze the development of nerve CSA in a healthy population from early childhood to old age using high-resolution ultrasound.
methodsThe median, ulnar, radial and sural nerves were examined bilaterally at 18 nerve sites in 110 healthy children, adolescents and adults aged between 2 and 98 years. The CSA of every nerve site was evaluated separately and in different age groups. The correlation of CSA with age, height and weight was analyzed in a linear, logarithmic and quadratic model and correlation coefficients were compared in a goodness-of-fit analysis. Models were then adjusted for weight and height.
resultsLinear CSA-age correlations showed the lowest correlation coefficients for all nerve sites. An inverted parabolic curve suggesting a quadratic correlation of CSA and age was the best-fitting model. Weight and height had a higher predictive value than age in adjusted models.
conclusionsThere is an increase in nerve size during childhood and adolescence and a trend towards a decrease in old age, suggesting an inverted parabolic curve partly explained by age-related changes in weight and height. Enlarged nerves in elderly individuals should not be attributed to age alone.
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