Maria Birsoan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Maria Birsoan has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
- Adrian Rolet
Department of Surgical & Interventional Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, St. Thomas Hospital, London SE1 7EH, UK
1 shared publication - Adriana Namour
King’s College London
1 shared publication - Behrad Vakili
Department of Surgical & Interventional Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, St. Thomas Hospital, London SE1 7EH, UK
1 shared publication - Carlo Saija
School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
1 shared publication - Irum Kotadia
Guy’s and St Thomas’ Hospital & School of Biomedical Engineering and Imaging Sciences, King’s College London Department of Cardiology Westminster Bridge Road, London SE1 7EH
1 shared publication - Joshua Rothwell
Department of Radiology, University of Cambridge, Cambridge, UK
1 shared publication
Latest Publications
- Open Access
- 28 June 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (13) , 6553
Cardiac Radiofrequency Ablation Simulation Using a 3D-Printed Bi-Atrial Thermochromic Model
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.
- 28 June 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (13) , 6553
Open AccessCardiac Radiofrequency Ablation Simulation Using a 3D-Printed Bi-Atrial Thermochromic Model
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.