Calculation of effective freezing time in lung cancer cryosurgery based on Godunov simulation

Tatiana G. Kotova, V. I. Kochenov, S. N. Tsybusov, D. Y. Madai, A. V. Gurin

Research output

7 Citations (Scopus)

Abstract

There have been presented the results of lung cancer cryosurgery simulation using numerical solutions of enthalpy equation according to Godunov method. For the cryodestruction improvement purposes we successfully calculated the effective freezing time taking into account the evolution of an ice ball covering the tumor area. Geometrical transformation parameters of an ice ball have been measured by calculating the temperature distribution and the interface position in biological tissue. Mathematical cryosurgical procedures are described by heat transfer equations in solid and liquid phases. Numerical results for one-dimensional case were verified by comparing with exact solutions. In two dimensional modeling an effective cryotherapy time, which corresponds to freezing time of all tumor parts, was calculated as the area of forming ice balls covering all tumor region. The findings enable to set the effective time of a cryosurgical procedure in lung cancer. The knowledge of temperature distribution and interface position in biological tissue offers an opportunity to a cryosurgeon to finish the procedure within a certain time period to minimize the healthy tissue damage and destroy tumor cells to the maximum. Simulation application enables to schedule cryotherapy in lung cancer more effectively and to a good quality.

Original languageEnglish
Pages (from-to)48-53
Number of pages6
JournalSovremennye Tehnologii v Medicine
Volume8
Issue number1
DOIs
Publication statusPublished - 1 Jan 2016

Fingerprint

Cryosurgery
Freezing
Cryotherapy
Tumors
Lung Neoplasms
Ice
Tissue
Temperature distribution
Neoplasms
Temperature
Enthalpy
Cells
Heat transfer
Appointments and Schedules
Hot Temperature
Computer simulation
Liquids

Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Kotova, Tatiana G. ; Kochenov, V. I. ; Tsybusov, S. N. ; Madai, D. Y. ; Gurin, A. V. / Calculation of effective freezing time in lung cancer cryosurgery based on Godunov simulation. In: Sovremennye Tehnologii v Medicine. 2016 ; Vol. 8, No. 1. pp. 48-53.
@article{155749ccee46422895261e97b36ded3d,
title = "Calculation of effective freezing time in lung cancer cryosurgery based on Godunov simulation",
abstract = "There have been presented the results of lung cancer cryosurgery simulation using numerical solutions of enthalpy equation according to Godunov method. For the cryodestruction improvement purposes we successfully calculated the effective freezing time taking into account the evolution of an ice ball covering the tumor area. Geometrical transformation parameters of an ice ball have been measured by calculating the temperature distribution and the interface position in biological tissue. Mathematical cryosurgical procedures are described by heat transfer equations in solid and liquid phases. Numerical results for one-dimensional case were verified by comparing with exact solutions. In two dimensional modeling an effective cryotherapy time, which corresponds to freezing time of all tumor parts, was calculated as the area of forming ice balls covering all tumor region. The findings enable to set the effective time of a cryosurgical procedure in lung cancer. The knowledge of temperature distribution and interface position in biological tissue offers an opportunity to a cryosurgeon to finish the procedure within a certain time period to minimize the healthy tissue damage and destroy tumor cells to the maximum. Simulation application enables to schedule cryotherapy in lung cancer more effectively and to a good quality.",
keywords = "Cryosurgery, Cryosurgery simulation, Godunov method, Lung cancer",
author = "Kotova, {Tatiana G.} and Kochenov, {V. I.} and Tsybusov, {S. N.} and Madai, {D. Y.} and Gurin, {A. V.}",
year = "2016",
month = "1",
day = "1",
doi = "10.17691/stm2016.8.1.07",
language = "English",
volume = "8",
pages = "48--53",
journal = "СОВРЕМЕННЫЕ ТЕХНОЛОГИИ В МЕДИЦИНЕ",
issn = "2076-4243",
publisher = "Нижегородская государственная медицинская академия",
number = "1",

}

Calculation of effective freezing time in lung cancer cryosurgery based on Godunov simulation. / Kotova, Tatiana G.; Kochenov, V. I.; Tsybusov, S. N.; Madai, D. Y.; Gurin, A. V.

In: Sovremennye Tehnologii v Medicine, Vol. 8, No. 1, 01.01.2016, p. 48-53.

Research output

TY - JOUR

T1 - Calculation of effective freezing time in lung cancer cryosurgery based on Godunov simulation

AU - Kotova, Tatiana G.

AU - Kochenov, V. I.

AU - Tsybusov, S. N.

AU - Madai, D. Y.

AU - Gurin, A. V.

PY - 2016/1/1

Y1 - 2016/1/1

N2 - There have been presented the results of lung cancer cryosurgery simulation using numerical solutions of enthalpy equation according to Godunov method. For the cryodestruction improvement purposes we successfully calculated the effective freezing time taking into account the evolution of an ice ball covering the tumor area. Geometrical transformation parameters of an ice ball have been measured by calculating the temperature distribution and the interface position in biological tissue. Mathematical cryosurgical procedures are described by heat transfer equations in solid and liquid phases. Numerical results for one-dimensional case were verified by comparing with exact solutions. In two dimensional modeling an effective cryotherapy time, which corresponds to freezing time of all tumor parts, was calculated as the area of forming ice balls covering all tumor region. The findings enable to set the effective time of a cryosurgical procedure in lung cancer. The knowledge of temperature distribution and interface position in biological tissue offers an opportunity to a cryosurgeon to finish the procedure within a certain time period to minimize the healthy tissue damage and destroy tumor cells to the maximum. Simulation application enables to schedule cryotherapy in lung cancer more effectively and to a good quality.

AB - There have been presented the results of lung cancer cryosurgery simulation using numerical solutions of enthalpy equation according to Godunov method. For the cryodestruction improvement purposes we successfully calculated the effective freezing time taking into account the evolution of an ice ball covering the tumor area. Geometrical transformation parameters of an ice ball have been measured by calculating the temperature distribution and the interface position in biological tissue. Mathematical cryosurgical procedures are described by heat transfer equations in solid and liquid phases. Numerical results for one-dimensional case were verified by comparing with exact solutions. In two dimensional modeling an effective cryotherapy time, which corresponds to freezing time of all tumor parts, was calculated as the area of forming ice balls covering all tumor region. The findings enable to set the effective time of a cryosurgical procedure in lung cancer. The knowledge of temperature distribution and interface position in biological tissue offers an opportunity to a cryosurgeon to finish the procedure within a certain time period to minimize the healthy tissue damage and destroy tumor cells to the maximum. Simulation application enables to schedule cryotherapy in lung cancer more effectively and to a good quality.

KW - Cryosurgery

KW - Cryosurgery simulation

KW - Godunov method

KW - Lung cancer

UR - http://www.scopus.com/inward/record.url?scp=84962018287&partnerID=8YFLogxK

U2 - 10.17691/stm2016.8.1.07

DO - 10.17691/stm2016.8.1.07

M3 - Article

AN - SCOPUS:84962018287

VL - 8

SP - 48

EP - 53

JO - СОВРЕМЕННЫЕ ТЕХНОЛОГИИ В МЕДИЦИНЕ

JF - СОВРЕМЕННЫЕ ТЕХНОЛОГИИ В МЕДИЦИНЕ

SN - 2076-4243

IS - 1

ER -