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Predicting median nerve depth from anthropometric features: A tool for safer invasive procedures

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  • Sara Mogedano-Cruz
  • Ángel González-de-la-Flor
  • Cristina Rodríguez-Anadón
  • Lucimere Bohn
  • Jorge Villafañe
  • Carlos Romero-Morales

Abstract

Introduction: The median nerve (MN) is frequently targeted in invasive procedures. Accurately locating its depth is essential to minimize complications. This study aimed to develop predictive models of MN depth based on anthropometric features. Design: cross-sectional observational study. Methods: Fifty-three healthy adults (Men: 53%; Age range: 18–60 years) were evaluated. Sociodemographic (age and sex) and anthropometric data (height, weight, BMI, and proximal/mid-forearm circumference) were ascertained. Ultrasound was used to measure the depth of the MN relative to the skin and brachial artery at the elbow and mid-forearm. Hierarchical linear regression was applied to identify significant predictors of nerve depth. Results: Men were significantly taller, heavier, and had a higher forearm circumference than women (p

Suggested Citation

  • Sara Mogedano-Cruz & Ángel González-de-la-Flor & Cristina Rodríguez-Anadón & Lucimere Bohn & Jorge Villafañe & Carlos Romero-Morales, 2025. "Predicting median nerve depth from anthropometric features: A tool for safer invasive procedures," PLOS ONE, Public Library of Science, vol. 20(8), pages 1-12, August.
    • Handle: RePEc:plo:pone00:0330383
    DOI: 10.1371/journal.pone.0330383
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