NDLI: A Novel Parameter for Predicting Arterial Fusion and Cutting in Finite Element Models

Content Provider	Springer Nature Link
Author	Fankell, Douglas P. Kramer, Eric Cezo, James Taylor, Ken D. Ferguson, Virginia L. Rentschler, Mark E.
Copyright Year	2016
Abstract	Current efforts to evaluate the performance of laparoscopic arterial fusion devices are limited to costly, time consuming, empirical studies. Thus, a finite element (FE) model, with the ability to predict device performance would improve device design and reduce development time and costs. This study introduces a model of the heat transfer through an artery during electrosurgical procedures that accounts for changes in thermal material properties due to water loss and temperature. Experiments then were conducted by applying a known heat and pressure to carefully sectioned pieces of porcine splenic arteries and measuring cut completeness. From this data, equations were developed to predict at which temperature and pressure arterial tissue is cut. These results were then incorporated into a fully coupled thermomechanical FE model with the ability to predict whole artery cutting. An additional experiment, performed to examine the accuracy of the model, showed that the model predicted complete artery cut results correctly in 28 of 32 tests. The predictive ability of this FE model opens a gateway to more advanced electrosurgical fusion devices and modeling techniques of electrosurgical procedures by allowing for faster, cheaper and more comprehensive device design.
Starting Page	3295
Ending Page	3306
Page Count	12
File Format	PDF
ISSN	00906964
Journal	Annals of Biomedical Engineering
Volume Number	44
Issue Number	11
e-ISSN	15739686
Language	English
Publisher	Springer US
Publisher Date	2016-03-16
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Tissue fusion Vessel sealing Vessel cutting Artery Biomechanics Finite element modeling Bioheat transfer Biomedicine Biomedical Engineering Biological and Medical Physics, Biophysics Classical Mechanics Biochemistry
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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