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Tissue Drives Lesion: Computational Evidence of Interspecies Variability in Cardiac Radiofrequency Ablation
BCAM, Bilbao 48009, Spain..
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0001-5572-5234
Hosp Santa Creu & Sant Pau, CIBERCV, Barcelona 08041, Spain..
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0002-1695-8809
Show others and affiliations
2019 (English)In: FUNCTIONAL IMAGING AND MODELING OF THE HEART, FIMH 2019 / [ed] Coudiere, Y Ozenne, V Vigmond, E Zemzemi, N, SPRINGER INTERNATIONAL PUBLISHING AG , 2019, p. 139-146Conference paper, Published paper (Refereed)
Abstract [en]

Radiofrequency catheter ablation (RFCA) is widely used for the treatment of various types of cardiac arrhythmias. Typically, the efficacy and the safety of the ablation protocols used in the clinics are derived from tests carried out on animal specimens, including swines. However, these experimental findings cannot be immediately translated to clinical practice on human patients, due to the difference in the physical properties of the types of tissue. Computational models can assist in the quantification of this variability and can provide insights in the results of the RFCA for different species. In this work, we consider a standard ablation protocol of 10 g force, 30 W power for 30 s. We simulate its application on a porcine cardiac tissue, a human ventricle and a human atrium. Using a recently developed computational model that accounts for the mechanical properties of the tissue, we explore the onset and the growth of the lesion along time by tracking its depth and width, and we compare the lesion size and dimensions at the end of the ablation.

Place, publisher, year, edition, pages
SPRINGER INTERNATIONAL PUBLISHING AG , 2019. p. 139-146
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 11504
Keywords [en]
Radiofrequency catheter ablation, Mathematical model, Tissue properties, Interspecies variability
National Category
Cardiac and Cardiovascular Systems Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:kth:diva-264870DOI: 10.1007/978-3-030-21949-9_16ISI: 000495643700016Scopus ID: 2-s2.0-85067183261ISBN: 978-3-030-21949-9 (print)ISBN: 978-3-030-21948-2 (print)OAI: oai:DiVA.org:kth-264870DiVA, id: diva2:1376276
Conference
10th International Conference on Functional Imaging and Modeling of the Heart (FIMH), JUN 06-08, 2019, Bordeaux, FRANCE
Note

QC 20191209

Available from: 2019-12-09 Created: 2019-12-09 Last updated: 2019-12-20Bibliographically approved

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Leoni, MassimilianoJansson, Johan

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