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  4. Evaluation of a numerical simulation for cryoablation - comparison with bench data, clinical kidney and lung cases
 
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2020
Journal Article
Title

Evaluation of a numerical simulation for cryoablation - comparison with bench data, clinical kidney and lung cases

Abstract
Purpose
The accuracy of a numerical simulation of cryoablation ice balls was evaluated in gel phantom data as well as clinical kidney and lung cases.
Materials and methods
To evaluate the accuracy, 64 experimental single-needle cryoablations and 12 multi-needle cryoablations in gel phantoms were re-simulated with the corresponding freeze-thaw-freeze cycles. The simulated temperatures were compared over time with the measurements of thermocouples. For single needles, temperature values were compared at each thermocouple location. For multiple needles, Euclidean distances between simulated and measured isotherms (10 °C, 0 °C, -20 °C, -40 °C) were computed. Furthermore, surface and volume of simulated 0 °C isotherms were compared to cryoablation-induced ice balls in 14 kidney and 13 lung patients. For this purpose, needle positions and relevant anatomical structures defining material parameters (kidney/lung, tumor) were reconstructed from pre-ablation CT images and fused with postablation CT images (from which ice balls were extracted by manual delineation).
Results
The single-needle gel phantom cases showed less than 5 °C prediction error on average. Over all multiple needle experiments in gel, the mean and maximum isotherm distance were less than 2.3 mm and 4.1 mm, respectively. Average Dice coefficients of 0.82/0.63 (kidney/lung) and mean surface distances of 2.59/3.12 mm quantify the prediction performance of the numerical simulation. However, maximum surface distances of 10.57/10.8 mm indicate that locally larger errors have to be expected.
Conclusion
A very good agreement of the numerical simulations for gel experiments was measured and a satisfactory agreement of the numerical simulations with measured ice balls in patient data was shown.
Author(s)
Rieder, Christian  
Fraunhofer-Institut für Digitale Medizin MEVIS  
Schwenke, Michael
Fraunhofer-Institut für Digitale Medizin MEVIS  
Pätz, Torben  
Fraunhofer-Institut für Digitale Medizin MEVIS  
Georgii, Joachim  
Fraunhofer-Institut für Digitale Medizin MEVIS  
Ballhausen, Hanne
Fraunhofer-Institut für Digitale Medizin MEVIS  
Schwen, Lars Ole  orcid-logo
Fraunhofer-Institut für Digitale Medizin MEVIS  
Haase, Sabrina
Fraunhofer-Institut für Digitale Medizin MEVIS  
Preusser, Tobias
Fraunhofer-Institut für Digitale Medizin MEVIS  
Journal
International journal of hyperthermia and thermal therapies : IJH  
Open Access
DOI
10.1080/02656736.2020.1845402
Additional link
Full text
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
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