Accuracy of cardiac magnetic resonance generated 3D models of the aortic annulus compared to cardiovascular computed tomography generated 3D models-Reference-Cited by-同舟云学术

Accuracy of cardiac magnetic resonance generated 3D models of the aortic annulus compared to cardiovascular computed tomography generated 3D models

Published:2020-05-30 Issue:10 Volume:36 Page:2007-2015
ISSN:1569-5794
Container-title:The International Journal of Cardiovascular Imaging
language:en
Short-container-title:Int J Cardiovasc Imaging

Author:

Gatti Marco^ORCID,Cosentino Aurelio,Cura Stura Erik,Bergamasco Laura,Garabello Domenica,Pennisi Giovanni,Puppo Mattia,Salizzoni Stefano,Veglia Simona,Davini Ottavio,Rinaldi Mauro,Fonio Paolo,Faletti Riccardo

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s10554-020-01902-9.pdf

Reference33 articles.

1. Giannopoulos AA, Mitsouras D, Yoo S-J et al (2016) Applications of 3D printing in cardiovascular diseases. Nat Rev Cardiol 13:701–718. https://doi.org/10.1038/nrcardio.2016.170

2. Ripley B, Kelil T, Cheezum MK et al (2016) 3D printing based on cardiac CT assists anatomic visualization prior to transcatheter aortic valve replacement. J Cardiovasc Comput Tomogr 10:28–36. https://doi.org/10.1016/j.jcct.2015.12.004

3. Gallo M, D’Onofrio A, Tarantini G et al (2016) 3D-printing model for complex aortic transcatheter valve treatment. Int J Cardiol 210:139–140. https://doi.org/10.1016/j.ijcard.2016.02.109

4. Kasel AM, Cassese S, Bleiziffer S et al (2013) Standardized imaging for aortic annular sizing: Implications for transcatheter valve selection. JACC Cardiovasc Imaging 6:249–262. https://doi.org/10.1016/j.jcmg.2012.12.005

5. Francone M, Budde RPJ, Bremerich J et al (2020) CT and MR imaging prior to transcatheter aortic valve implantation: standardisation of scanning protocols, measurements and reporting—a consensus document by the European Society of Cardiovascular Radiology (ESCR). Eur Radiol 30:2627–2650. https://doi.org/10.1007/s00330-019-06357-8

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes;Journal of Clinical Medicine;2023-07-19

2. Hemodynamic Modeling, Medical Imaging, and Machine Learning and Their Applications to Cardiovascular Interventions;IEEE Reviews in Biomedical Engineering;2023

3. Enhancing Medical Imaging with Computational Modeling for Aortic Valve Disease Intervention Planning;Current and Future Trends in Health and Medical Informatics;2023

4. Translating Imaging Into 3D Printed Cardiovascular Phantoms;JACC: Basic to Translational Science;2022-10