Document Detail


Computer-based finite element modeling of insulated Tuohy needles used in regional anesthesia.
MedLine Citation:
PMID:  19417607     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: Differences in needle design may impact nerve localization. This study evaluates the electrical properties of two insulated Tuohy needles using computational finite element modeling. METHODS: Three-dimensional geometric computer-based models were created representing two 18-gauge, insulated Tuohy needles: (1) with an exposed metal tip and (2) with an insulated tip. The models were projected in simulated human tissue. Using finite element methodology, distributions of current-density were calculated. Voltages in the modeled medium were calculated, and activation patterns of a model nerve fiber around the tip of each needle were estimated using the activating function. RESULTS: Maximum current density on the exposed-tip needle occurred along the edge of the distal tip; the distal edge was 1.7 times larger than the side edges and 3.5 times larger than the proximal edge. Conversely, maximum current density occurred along the proximal edge of the insulated-tip Tuohy opening; the proximal edge was 1.9 times larger than the side edges of the opening and 3.5 times larger than the distal edge of the opening. Voltages generated by the exposed-tip needle were larger and had a wider spatial distribution than that of the insulated-tip needle, which restricted to the area immediately adjacent to the opening. Different changes in threshold were predicted to excite a nerve fiber as the needles were rotated or advanced toward the modeled nerve. CONCLUSIONS: The needles displayed different asymmetric distributions of current density and positional effects on threshold. If this analysis is validated clinically, it may prove useful in testing stimulating needles before clinical application.
Authors:
Meredith B Cantrell; Warren M Grill; Stephen M Klein
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Anesthesiology     Volume:  110     ISSN:  1528-1175     ISO Abbreviation:  Anesthesiology     Publication Date:  2009 Jun 
Date Detail:
Created Date:  2009-05-26     Completed Date:  2009-06-16     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  1300217     Medline TA:  Anesthesiology     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1229-34     Citation Subset:  AIM; IM    
Affiliation:
Department of Biomedical Engineering and Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA.
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MeSH Terms
Descriptor/Qualifier:
Anesthesia, Conduction / instrumentation*
Electric Stimulation
Equipment Design
Finite Element Analysis
Humans
Models, Statistical
Needles*
Nerve Fibers / physiology
Predictive Value of Tests
Software

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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