Next Article in Journal
Fatty Acid Content, Lipid Quality Indices, and Mineral Composition of Cow Milk and Yogurts Produced with Different Starter Cultures Enriched with Bifidobacterium bifidum
Next Article in Special Issue
MR Imaging and Electrophysiological Features of Doxorubicin-Induced Fibrosis: Protocol Development in a Small Preclinical Pig Study with Histological Validation
Previous Article in Journal
Aging Study of In-Use Lithium-Ion Battery Packs to Predict End of Life Using Black Box Model
Previous Article in Special Issue
Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Applied Sciences
Volume 12
Issue 13
10.3390/app12136553
applsci-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Cardiac Radiofrequency Ablation Simulation Using a 3D-Printed Bi-Atrial Thermochromic Model

by
Shu Wang
1,†,
Carlo Saija
1,†,
Justin Choo
1,
Zhanchong Ou
1,
Maria Birsoan
1,
Sarah Germanos
1,
Joshua Rothwell
1,
Behrad Vakili
1,
Irum Kotadia
1,
Zhouyang Xu
1,
Adrian Rolet
1,
Adriana Namour
1,
Woo Suk Yang
1,
Steven E. Williams
1,2,‡ and
Kawal Rhode
1,*,‡
1
Department of Surgical & Interventional Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, St. Thomas Hospital, London SE1 7EH, UK
2
Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh EH8 9YL, UK
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
‡
These authors contributed equally to this work.
Appl. Sci. 2022, 12(13), 6553; https://doi.org/10.3390/app12136553
Submission received: 11 May 2022 / Revised: 23 June 2022 / Accepted: 27 June 2022 / Published: 28 June 2022
(This article belongs to the Special Issue Emerging Techniques in Imaging, Modelling and Visualization for Cardiovascular Diagnosis and Therapy)
Browse Figures
Review Reports Versions Notes

Abstract

Radiofrequency ablation (RFA) is a treatment used in the management of various arrhythmias including atrial fibrillation. Enhanced training for electrophysiologists through the use of physical simulators has a significant role in improving patient outcomes. The requirements for a high-fidelity simulator for cardiac RFA are challenging and not fully met by any research or commercial simulator at present. In this study, we have produced and evaluated a 3D-printed, bi-atrial model contained in a custom-made enclosure for RFA simulation using a new soft tissue-mimicking polymer, Layfomm-40, combined with thermochromic pigment and barium sulphate in an acrylic paint carrier. We evaluated the conductive properties of Layfomm-40, its sensitivity to RFA, and its visibility in X-ray imaging, and carried a full simulation of RFA in the cardiac catheterization laboratory by an electrophysiologist. We demonstrated that a patient-specific 3D-printed Layfomm-40 bi-atrial model coated with a custom thermochromic/barium sulphate paint was compatible with the CARTO3 electroanatomic mapping system and could be effectively imaged using X-ray fluoroscopy. We demonstrated the effective delivery and visualization of radiofrequency ablation lesions in this model. The simulator meets nearly all the requirements for high-fidelity physical simulation of RFA. The use of such simulators is likely to have impact on the training of electrophysiologists and the evaluation of novel RFA devices.
Keywords: electrophysiology; cardiac radiofrequency ablation; 3D-printing; Layfomm-40; physical simulation; simulation training; thermochromic pigments electrophysiology; cardiac radiofrequency ablation; 3D-printing; Layfomm-40; physical simulation; simulation training; thermochromic pigments

Share and Cite

MDPI and ACS Style

Wang, S.; Saija, C.; Choo, J.; Ou, Z.; Birsoan, M.; Germanos, S.; Rothwell, J.; Vakili, B.; Kotadia, I.; Xu, Z.; et al. Cardiac Radiofrequency Ablation Simulation Using a 3D-Printed Bi-Atrial Thermochromic Model. Appl. Sci. 2022, 12, 6553. https://doi.org/10.3390/app12136553

AMA Style

Wang S, Saija C, Choo J, Ou Z, Birsoan M, Germanos S, Rothwell J, Vakili B, Kotadia I, Xu Z, et al. Cardiac Radiofrequency Ablation Simulation Using a 3D-Printed Bi-Atrial Thermochromic Model. Applied Sciences. 2022; 12(13):6553. https://doi.org/10.3390/app12136553

Chicago/Turabian Style

Wang, Shu, Carlo Saija, Justin Choo, Zhanchong Ou, Maria Birsoan, Sarah Germanos, Joshua Rothwell, Behrad Vakili, Irum Kotadia, Zhouyang Xu, and et al. 2022. "Cardiac Radiofrequency Ablation Simulation Using a 3D-Printed Bi-Atrial Thermochromic Model" Applied Sciences 12, no. 13: 6553. https://doi.org/10.3390/app12136553

APA Style

Wang, S., Saija, C., Choo, J., Ou, Z., Birsoan, M., Germanos, S., Rothwell, J., Vakili, B., Kotadia, I., Xu, Z., Rolet, A., Namour, A., Yang, W. S., Williams, S. E., & Rhode, K. (2022). Cardiac Radiofrequency Ablation Simulation Using a 3D-Printed Bi-Atrial Thermochromic Model. Applied Sciences, 12(13), 6553. https://doi.org/10.3390/app12136553

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop