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International Journal of Bioprinting Evaluation of advanced visual computing solutions for the left atrial appendage occlusion
Acknowledgments References
The authors of this manuscript want to thank the 1. Kikinis R, Pieper SD, Vosburgh KG, 2014, 3D slicer: A platform
physicians, Dr. L.S., Dr. X.M., Dr. L.A., Dr. P.L., and for subject-specific image analysis, visualization, and clinical
Dr. V.A., who accepted our invitation to take part in this support. In: jolesz fa, editor. Intraoperative imaging and
study as participants. image-guided therapy. New York: springer, p277–289.
2. Wang DD, Qian Z, Vukicevic M, et al., 2021, 3D printing,
Funding computational modeling, and artificial intelligence for
structural heart disease. JACC Cardiovasc Imaging, 14: 41–60.
This work was supported by the Spanish Ministry of
Science, Innovation and Universities under the Retos https://doi.org/10.1016/j.jcmg.2019.12.022
I+D Programme (RTI2018-101193-B-I00), the Maria 3. Wang DD, Geske J, Choi AD, et al., 2018, Navigating a career
de Maeztu Units of Excellence Programme (MDM in structural heart disease interventional imaging. JACC
2015-0502), and the Spanish Ministry of Economy and Cardiovasc Imaging, 11: 1928–1930.
Competitiveness under the Programme for the Formation https://doi.org/10.1016/j.jcmg.2018.07.010
of Doctors (PRE2018-084062). In addition, this work was
supported by the H2020 EU SimCardioTest project (Digital 4. Salavitabar A, Figueroa CA, Lu JC, et al., 2020, Emerging 3D
transformation in Health and Care SC1-DTH-06-2020; technologies and applications within congenital heart disease:
teach, predict, plan and guide. Future Cardiol, 16: 695–709.
grant agreement No. 101016496).
https://doi.org/10.2217/fca-2020-0004
Conflict of interest 5. Goo HW, Park SJ, Yoo SJ, 2020, Advanced medical use of
The authors declare that they have no competing interests. three-dimensional imaging in congenital heart disease:
Augmented reality, mixed reality, virtual reality, and three-
Author contributions dimensional printing. Korean J Radiol, 21:133–145.
Conceptualization: Jordi Mill, Helena Montoliu, Xavier https://doi.org/10.3348/kjr.2019.0625
Freixa, Dabit Arzamendi, and Oscar Camara. 6. Kohli K, Wei ZA, Sadri V, et al., 2020, Framework for
Data Curation: Jordi Mill, Helena Montoliu, Abdel H. planning TMVR using 3-D imaging, in silico modeling, and
Moustafa, Carlos Albors, and Andy L. Olivares. virtual reality. Struct Hear, 4: 336–341.
Investigation and formal analysis: Jordi Mill, Helena https://doi.org/10.1080/24748706.2020.1762268
Montoliu, Carlos Albors, and Andy L. Olivares. 7. Devgun J, De Potter T, Fabbricatore D, et al., 2022, Pre-
Methodology: Jordi Mill and Helena Montoliu. cath laboratory planning for left atrial appendage occlusion
Resources: Abdel H. Moustafa. optional or essential? Interv Cardiol Clin, 11: 143–152.
Software: Elodie Medina, Ainhoa Aguado, and Mario
Ceresa. https://doi.org/10.1016/j.iccl.2021.11.003
Supervision and validation: Dabit Arzamendi, Xavier 8. Vivoli G, Gasparotti E, Rezzaghi M, et al., 2019,
Freixa, and Oscar Camara. Simultaneous functional and morphological assessment of
Writing – Original draft: Jordi Mill left atrial appendage by 3D virtual models. J Healthc Eng,
Writing – review and editing: Andy L. Olivares and Oscar 2019: 7095845.
Camara https://doi.org/10.1155/2019/7095845
9. Saw J, Fahmy P, Spencer R, et al., 2016, Comparing
Ethics approval and consent to participate measurements of ct angiography, tee, and fluoroscopy of the
The study was approved by the Institutional Ethics left atrial appendage for percutaneous closure. J Cardiovasc
Committee; patients gave the informed consent for having Electrophysiol, 27: 414–422.
their data used for research purposes, including tasks such https://doi.org/10.1111/jce.12909
as the ones presented in this study. 10. Hascoet S, Smolka G, Bagate F, et al., 2018, Multimodality
imaging guidance for percutaneous paravalvular leak
Consent for publication closure: Insights from the multi-centre ffpp register. Arch
The authors have the consent of the participants to publish Cardiovasc Dis, 111: 421–431.
their data obtained from this study. https://doi.org/10.1016/j.acvd.2018.05.001
Availability of data 11. Karagodin I, Addetia K, Singh A, et al., 2020, Improved
delineation of cardiac pathology using a novel three-
Data is available under request. dimensional echocardiographic tissue transparency tool.
Volume 9 Issue 1 (2023) 272 https://doi.org/10.18063/ijb.v9i1.640

