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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
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