Predicting tissue division rates for TURP systems using finite element simulations

Arlen K. Ward; George J. Collins

doi:10.1117/12.2006426

26 February 2013 Predicting tissue division rates for TURP systems using finite element simulations

Arlen K. Ward, George J. Collins

Proceedings Volume 8584, Energy-based Treatment of Tissue and Assessment VII; 85840A (2013) https://doi.org/10.1117/12.2006426
Event: SPIE BiOS, 2013, San Francisco, California, United States

Abstract

When using simulations to determine electrode geometry and energy deposition patterns for TURP devices, a dominating factor for consideration is the tissue resection rate of the proposed system. While it is well understood that the vaporization of biological tissue is the mechanism of tissue division, previous models have been unable to match experimental results for a given applied power. Whether modeled as direct tissue/electrode contact or through the spatial transform of arcing, the predicted division rate was significantly lower than that observed though experiment. For the present study, heating rate was again used to determine the vaporization rate during the resection. This model assumes that in order for the wire loop to advance not all of the tissue in front of the electrode must be vaporized but the centerline of the advance must have sufficient energy deposited to divide the tissue. Integrating the volumetric energy deposition rate along this centerline in front of the advancing electrode provides a comparison to the required vaporization energy density resulting in a predicted time necessary for reaching the tissue division threshold. Using the simulation results for a standard TURP electrode and various power settings, five cases were compared to experimental results using in vitro bovine prostate tissue. Each tested at three cutting rates, evaluating the ability to advance through the tissue. The simulation predicted tissue division rates in good agreement with those seen via experiment, although the predicted values biased slightly higher suggesting that further mathematical model refinements are necessary.

Citation Download Citation

Arlen K. Ward and George J. Collins "Predicting tissue division rates for TURP systems using finite element simulations", Proc. SPIE 8584, Energy-based Treatment of Tissue and Assessment VII, 85840A (26 February 2013); https://doi.org/10.1117/12.2006426

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Tissues

Prostate

Electrodes

Mathematical modeling

In vitro testing

Atmospheric modeling

Instrument modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years