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

Simple item page
dc.contributor.authorMogedano Cruz, Sara
dc.contributor.authorGonzález de la Flor, Ángel
dc.contributor.authorRodríguez Anadón, Cristina
dc.contributor.authorBohn, Lucimere
dc.contributor.authorVillafañe, Jorge Hugo
dc.contributor.authorRomero Morales, Carlos
dc.date.accessioned2025-10-17T16:20:54Z
dc.date.available2025-10-17T16:20:54Z
dc.date.issued2025
dc.description.abstractThe 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.
dc.description.filiationUEMspa
dc.description.impact2.6 Q2 JCR 2024
dc.description.impact0.803 Q1 SJR 2024
dc.description.impactNo data IDR 2023
dc.description.sponsorshipSin financiación
dc.identifier.citationMogedano-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.0330383
dc.identifier.doi10.1371/journal.pone.0330383
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/11268/16403
dc.language.isoeng
dc.peerreviewedSi
dc.relation.publisherversionhttp://doi.org/10.1371/journal.pone.0330383
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.sdgGoal 3: Ensure healthy lives and promote well-being for all at all ages
dc.subject.sdgGoal 4: Quality education
dc.subject.sdgGoal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation
dc.subject.unescoCiencias médicas
dc.subject.unescoPersonal paramédico
dc.subject.unescoMetrología
dc.titlePredicting median nerve depth from anthropometric features: A tool for safer invasive procedures
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublication4d7cc77d-05d0-485a-bff5-8547a2117861
relation.isAuthorOfPublicatione093462d-a788-4818-bd03-30d423cb2c50
relation.isAuthorOfPublication4adbada5-6908-47e1-a7e8-b70d0a27a54d
relation.isAuthorOfPublicationf7e55b2b-699c-4e9e-b57a-d4faaee07ffe
relation.isAuthorOfPublication.latestForDiscovery4d7cc77d-05d0-485a-bff5-8547a2117861

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Predicting_median_nerve_depth.pdf
Size:
693.53 KB
Format:
Adobe Portable Document Format
Download

Collections

Área de Ciencias de la Salud