Experimental verification of numerical simulations of cryosurgery with application to computerized planning

Rossi, Michael R.; Rabin, Yoed

doi:10.1088/0031-9155/52/15/013

Cited by 49 publications

(36 citation statements)

References 28 publications

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“…This case also demonstrated very low displacement error at r ¼ 5 mm, a short solve time, and agrees with previous descriptions of freezing in biological tissues [24,25].…”

Section: Acknowledgmentsupporting

confidence: 91%

“…Previous modeling techniques have often investigated model accuracy based on the displacement of the iceball edge (or other isotherms) [24,25,48] and so DE should provide a relevant base of comparison. Lethal tissue damage usually begins around À20 C, so this is one of the most relevant isotherms.…”

Section: Modeling Temperature Distributions Around Cryoprobesmentioning

confidence: 99%

“…While freezing is generally considered a discrete transition for pure substances, phase change in mixtures (and biological tissues) often occurs over a range of temperatures (especially in cases of rapid freezing) [24,34]. Table 3 illustrates the effects of phase change treatment on model accuracy.…”

Section: Acknowledgmentmentioning

confidence: 99%

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Methods for Characterizing Convective Cryoprobe Heat Transfer in Ultrasound Gel Phantoms

Etheridge

Choi

Ramadhyani³

et al. 2013

Journal of Biomechanical Engineering

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While cryosurgery has proven capable in treating of a variety of conditions, it has met with some resistance among physicians, in part due to shortcomings in the ability to predict treatment outcomes. Here we attempt to address several key issues related to predictive modeling by demonstrating methods for accurately characterizing heat transfer from cryoprobes, report temperature dependent thermal properties for ultrasound gel (a convenient tissue phantom) down to cryogenic temperatures, and demonstrate the ability of convective exchange heat transfer boundary conditions to accurately describe freezing in the case of single and multiple interacting cryoprobe(s). Temperature dependent changes in the specific heat and thermal conductivity for ultrasound gel are reported down to À150 C for the first time here and these data were used to accurately describe freezing in ultrasound gel in subsequent modeling. Freezing around a single and two interacting cryoprobe(s) was characterized in the ultrasound gel phantom by mapping the temperature in and around the "iceball" with carefully placed thermocouple arrays. These experimental data were fit with finite-element modeling in COMSOL Multiphysics, which was used to investigate the sensitivity and effectiveness of convective boundary conditions in describing heat transfer from the cryoprobes. Heat transfer at the probe tip was described in terms of a convective coefficient and the cryogen temperature. While model accuracy depended strongly on spatial (i.e., along the exchange surface) variation in the convective coefficient, it was much less sensitive to spatial and transient variations in the cryogen temperature parameter. The optimized fit, convective exchange conditions for the single-probe case also provided close agreement with the experimental data for the case of two interacting cryoprobes, suggesting that this basic characterization and modeling approach can be extended to accurately describe more complicated, multiprobe freezing geometries. Accurately characterizing cryoprobe behavior in phantoms requires detailed knowledge of the freezing medium's properties throughout the range of expected temperatures and an appropriate description of the heat transfer across the probe's exchange surfaces. Here we demonstrate that convective exchange boundary conditions provide an accurate and versatile description of heat transfer from cryoprobes, offering potential advantages over the traditional constant surface heat flux and constant surface temperature descriptions. In addition, although this study was conducted on Joule-Thomson type cryoprobes, the general methodologies should extend to any probe that is based on convective exchange with a cryogenic fluid. [DOI: 10.1115/1.4023237] Keywords: cryosurgery, cryotherapy, cryoablation, thermal properties, heat transfer modeling, clinical modeling IntroductionCryosurgery is a minimally invasive technique in which freezing temperatures are used to destroy tissue in the body to treat various conditions, including cancer (prosta...

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“…This case also demonstrated very low displacement error at r ¼ 5 mm, a short solve time, and agrees with previous descriptions of freezing in biological tissues [24,25].…”

Section: Acknowledgmentsupporting

confidence: 91%

Section: Modeling Temperature Distributions Around Cryoprobesmentioning

confidence: 99%

See 1 more Smart Citation

Methods for Characterizing Convective Cryoprobe Heat Transfer in Ultrasound Gel Phantoms

Etheridge

Choi

Ramadhyani³

et al. 2013

Journal of Biomechanical Engineering

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“…Both the force-field analogy and the bubble-packing techniques use this numerical scheme in the process of planning. This numerical scheme has been validated against experimental results, using proprietary imaging analysis techniques and the defect region concept [10,15]. Such short runtime is critical for any implementation of cryosurgery planning in a clinical setup.…”

Section: Computer Runtimementioning

confidence: 99%

“…the objective to provide results useful for understanding and designing the multi-cryoprobe procedure is commendable, critical evaluation of the Magalov et al [3] report must incorporate recent and relevant literature [4][5][6][7][8][9][10][11][12] not cited by these authors. (A few of the publications cited here were published only after [3] in archival journal, but are nonetheless relevant to the current discussion; those subjects have been widely presented in conferences in the past few years.)…”

mentioning

confidence: 99%

Key issues in bioheat transfer simulations for the application of cryosurgery planning

Rabin

2008

Cryobiology

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The bioheat transfer simulation is undoubtedly the foundation for developing computerized tools for cryosurgery planning and analysis. While a large variety of techniques for bioheat transfer simulations are available in the literature of the past several decades, it is only their integration with clinical criteria and constraints which can make computerized planning a practical reality. This brief communication outlines (in the opinion of this author) the key issues that must be addressed in the application of bioheat transfer to cryosurgery planning and analysis, while drawing attention to recent and relevant publications in other journals, with reference to the most recent publication on the topic in the Journal of Cryobiology [3]. KeywordsCryosurgery; Simulation; Planning; Bioheat Transfer Dramatic developments in imaging, instrumentation, and computational techniques in recent years have opened new horizons for the application of multi-probe and minimally-invasive cryosurgery. Commercial cryoprobes are now available that are as narrow as 1 mm in diameter, and in a wide range of active lengths. These small diameters, and the variability in active length, can potentially improve the surgeon's control over the minimally-invasive procedure. In prostate cryosurgery for example, up to 14 small diameter cryoprobes are routinely used, where the most appropriate active length can be selected according to the actual dimensions of the particular organ. One negative aspect of using this large number of cryoprobes is the increased complexity of surgical planning: consider the difficulty of visualizing the 3D shape of the organ (i.e., the target region), while seeking an optimal layout for as many as 14 cryoprobes, in order to best match the transient temperature field with the imaged freezing front and criteria for cryosurgery success.It is the opinion of this author that the optimal cryoprobe layout must be obtained with the aid of computerized planning tools, relying upon bioheat transfer simulations of the procedure. While numerical techniques for bioheat transfer are well documented in the literature of the past several decades, only a few studies have systematically addressed the critical problem of the best cryoprobe layout for cryosurgery [1,2]; Magalov et al. [3] is the most recent publication concerning this problem-although in a simplistic setup-in the Journal of Cryobiology. While 1rabin@cmu.edu; Phone/Fax: 412 268 2204. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers

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Efficient GPU-Based Numerical Simulation of Cryoablation of the Kidney

Georgii

Pätz

Rieder

et al. 2020

Computational Biomechanics for Medicine

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Experimental verification of numerical simulations of cryosurgery with application to computerized planning

Cited by 49 publications

References 28 publications

Methods for Characterizing Convective Cryoprobe Heat Transfer in Ultrasound Gel Phantoms

Methods for Characterizing Convective Cryoprobe Heat Transfer in Ultrasound Gel Phantoms

Key issues in bioheat transfer simulations for the application of cryosurgery planning

Efficient GPU-Based Numerical Simulation of Cryoablation of the Kidney

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