A three-state hyperthermic cell death model for the prediction of myocardial lesion

Stefan Lämmermann; Argyrios Petras; Massimiliano Leoni; Jose M. Guerra; Luca Gerardo-Giorda

doi:10.11128/arep.17.a17220

A three-state hyperthermic cell death model for the prediction of myocardial lesion

Stefan Lämmermann
, Argyrios Petras
, Massimiliano Leoni
, Jose M. Guerra
, Luca Gerardo-Giorda

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Radiofrequency (RF) catheter ablation is a minimally invasive procedure commonly used for the treatment of cardiac arrhythmias. Though it has been effectively practiced for many years, this procedure is not exempt from complications, including charring formation due to blood overheating at temperatures higher than 80ºC and the occurrence of steam pops for tissue temperatures around 100ºC. Several models have been introduced to simulate the RF ablation procedure, which provide lesion size estimations at the end of the ablation. Typically, either the 50ºC isotherm is considered as an estimation for the lesion, or an Arrhenius type model, which accounts for the time at which the tissue is at an altered state. In this work a three-state cell death model is considered for the estimation of the lesion, which captures the shrinkage of the damage region after the completion of the ablation.

Original language	English
Title of host publication	MATHMOD 2022 Discussion Contribution Volume
DOIs	https://doi.org/10.11128/arep.17.a17220
Publication status	Published - 2022

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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Fields of science

101027 Dynamical systems
102003 Image processing
102023 Supercomputing
102001 Artificial intelligence
101004 Biomathematics
102035 Data science
101014 Numerical mathematics
101028 Mathematical modelling
101013 Mathematical logic
102009 Computer simulation
101 Mathematics
202027 Mechatronics
102019 Machine learning
101024 Probability theory
206003 Medical physics
206001 Biomedical engineering
101020 Technical mathematics
102022 Software development
509002 Disability studies
503008 E-learning
102021 Pervasive computing
102027 Web engineering
302027 Hearing, voice and language disorders
102026 Virtual reality
102024 Usability research
202004 Brain-computer interface
102013 Human-computer interaction
211902 Assistive technologies
602013 Sign language research
102036 Digital accessibility
502007 E-commerce
102 Computer Sciences
506002 E-government
102015 Information systems
102014 Information design

JKU Focus areas

Digital Transformation
Sustainable Development: Responsible Technologies and Management

Access to Document

10.11128/arep.17.a17220

Cite this

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title = "A three-state hyperthermic cell death model for the prediction of myocardial lesion",

abstract = "Radiofrequency (RF) catheter ablation is a minimally invasive procedure commonly used for the treatment of cardiac arrhythmias. Though it has been effectively practiced for many years, this procedure is not exempt from complications, including charring formation due to blood overheating at temperatures higher than 80ºC and the occurrence of steam pops for tissue temperatures around 100ºC. Several models have been introduced to simulate the RF ablation procedure, which provide lesion size estimations at the end of the ablation. Typically, either the 50ºC isotherm is considered as an estimation for the lesion, or an Arrhenius type model, which accounts for the time at which the tissue is at an altered state. In this work a three-state cell death model is considered for the estimation of the lesion, which captures the shrinkage of the damage region after the completion of the ablation.",

author = "Stefan L{\"a}mmermann and Argyrios Petras and Massimiliano Leoni and Guerra, \{Jose M.\} and Luca Gerardo-Giorda",

year = "2022",

doi = "10.11128/arep.17.a17220",

language = "English",

booktitle = "MATHMOD 2022 Discussion Contribution Volume",

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T1 - A three-state hyperthermic cell death model for the prediction of myocardial lesion

AU - Lämmermann, Stefan

AU - Petras, Argyrios

AU - Leoni, Massimiliano

AU - Guerra, Jose M.

AU - Gerardo-Giorda, Luca

PY - 2022

Y1 - 2022

N2 - Radiofrequency (RF) catheter ablation is a minimally invasive procedure commonly used for the treatment of cardiac arrhythmias. Though it has been effectively practiced for many years, this procedure is not exempt from complications, including charring formation due to blood overheating at temperatures higher than 80ºC and the occurrence of steam pops for tissue temperatures around 100ºC. Several models have been introduced to simulate the RF ablation procedure, which provide lesion size estimations at the end of the ablation. Typically, either the 50ºC isotherm is considered as an estimation for the lesion, or an Arrhenius type model, which accounts for the time at which the tissue is at an altered state. In this work a three-state cell death model is considered for the estimation of the lesion, which captures the shrinkage of the damage region after the completion of the ablation.

AB - Radiofrequency (RF) catheter ablation is a minimally invasive procedure commonly used for the treatment of cardiac arrhythmias. Though it has been effectively practiced for many years, this procedure is not exempt from complications, including charring formation due to blood overheating at temperatures higher than 80ºC and the occurrence of steam pops for tissue temperatures around 100ºC. Several models have been introduced to simulate the RF ablation procedure, which provide lesion size estimations at the end of the ablation. Typically, either the 50ºC isotherm is considered as an estimation for the lesion, or an Arrhenius type model, which accounts for the time at which the tissue is at an altered state. In this work a three-state cell death model is considered for the estimation of the lesion, which captures the shrinkage of the damage region after the completion of the ablation.

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DO - 10.11128/arep.17.a17220

M3 - Conference proceedings

BT - MATHMOD 2022 Discussion Contribution Volume

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