Predicting median nerve depth from anthropometric features: A tool for safer invasive procedures.
<h4>Introduction</h4>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 observationa...
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Public Library of Science (PLoS)
2025-01-01
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| Online Access: | https://doi.org/10.1371/journal.pone.0330383 |
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| author | Sara Mogedano-Cruz Ángel González-de-la-Flor Cristina Rodríguez-Anadón Lucimere Bohn Jorge Villafañe Carlos Romero-Morales |
| author_facet | Sara Mogedano-Cruz Ángel González-de-la-Flor Cristina Rodríguez-Anadón Lucimere Bohn Jorge Villafañe Carlos Romero-Morales |
| author_sort | Sara Mogedano-Cruz |
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| description | <h4>Introduction</h4>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.<h4>Methods</h4>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.<h4>Results</h4>Men were significantly taller, heavier, and had a higher forearm circumference than women (p < 0.05 for all). Proximal forearm circumference strongly correlated with BMI and nerve depth. Regression analysis revealed it as a significant predictor of MN depth, explaining 49.4% (proximal) and 95.2% (mid-forearm) of the variance. The model for nerve-to-artery distance showed limited explanatory power (R2 = 0.164).<h4>Conclusion</h4>The mid-forearm circumference is a strong and accessible predictor of MN depth. The proposed models can support clinicians in estimating appropriate needle depth in ultrasound-guided procedures, potentially reducing the risk of nerve injury. |
| format | Article |
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| institution | Kabale University |
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| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
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| spelling | doaj-art-81689ef2e4954613a5ca6b3dfe52ab0c2025-08-23T05:32:36ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01208e033038310.1371/journal.pone.0330383Predicting median nerve depth from anthropometric features: A tool for safer invasive procedures.Sara Mogedano-CruzÁngel González-de-la-FlorCristina Rodríguez-AnadónLucimere BohnJorge VillafañeCarlos Romero-Morales<h4>Introduction</h4>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.<h4>Methods</h4>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.<h4>Results</h4>Men were significantly taller, heavier, and had a higher forearm circumference than women (p < 0.05 for all). Proximal forearm circumference strongly correlated with BMI and nerve depth. Regression analysis revealed it as a significant predictor of MN depth, explaining 49.4% (proximal) and 95.2% (mid-forearm) of the variance. The model for nerve-to-artery distance showed limited explanatory power (R2 = 0.164).<h4>Conclusion</h4>The mid-forearm circumference is a strong and accessible predictor of MN depth. The proposed models can support clinicians in estimating appropriate needle depth in ultrasound-guided procedures, potentially reducing the risk of nerve injury.https://doi.org/10.1371/journal.pone.0330383 |
| spellingShingle | Sara Mogedano-Cruz Ángel González-de-la-Flor Cristina Rodríguez-Anadón Lucimere Bohn Jorge Villafañe Carlos Romero-Morales Predicting median nerve depth from anthropometric features: A tool for safer invasive procedures. PLoS ONE |
| title | Predicting median nerve depth from anthropometric features: A tool for safer invasive procedures. |
| title_full | Predicting median nerve depth from anthropometric features: A tool for safer invasive procedures. |
| title_fullStr | Predicting median nerve depth from anthropometric features: A tool for safer invasive procedures. |
| title_full_unstemmed | Predicting median nerve depth from anthropometric features: A tool for safer invasive procedures. |
| title_short | Predicting median nerve depth from anthropometric features: A tool for safer invasive procedures. |
| title_sort | predicting median nerve depth from anthropometric features a tool for safer invasive procedures |
| url | https://doi.org/10.1371/journal.pone.0330383 |
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