Mogedano Cruz, SaraGonzález de la Flor, ÁngelRodríguez Anadón, CristinaBohn, LucimereVillafañe, Jorge HugoRomero Morales, Carlos2025-10-172025-10-172025Mogedano-Cruz, S., González-de-la-Flor, Á., Rodríguez-Anadón, C., Bohn, L., Villafañe, J., & Romero-Morales, C. (2025). Predicting median nerve depth from anthropometric features: A tool for safer invasive procedures. PLOS One, 20(8), e0330383. https://doi.org/10.1371/journal.pone.03303831932-6203https://hdl.handle.net/11268/16403The 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: crosssectional observational study. 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.engAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/journal article10.1371/journal.pone.0330383open accessCiencias médicasPersonal paramédicoMetrologíaGoal 3: Ensure healthy lives and promote well-being for all at all agesGoal 4: Quality educationGoal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation