Page 282 - IJB-9-1

International Journal of Bioprinting Evaluation of advanced visual computing solutions for the left atrial appendage occlusion

computational framework for personalized blood flow 278–285.
analysis in the human left atrium. Ann Biomed Eng, 44: https://doi.org/10.24875/RECICE.M21000224
3284–3294.
38. Brooke J, 1996, SUS-A quick and dirty usability scale. In:
https://doi.org/10.1007/s10439-016-1590-x
Usability Evaluation in Industry. Vol. 189, Boca Raton,
33. Fanni BM, Capellini K, Di Leonardo M, et al., 2020, Florida: CRC Press, p4–7.
Correlation between laa morphological features and
computational fluid dynamics analysis for non-valvular 39. Mill J, Agudelo V, Olivares AL, et al., 2021, Sensitivity analysis
atrial fibrillation patients. Appl Sci, 10: 1448. of in silico fluid simulations to predict thrombus formation
after left atrial appendage occlusion. Mathematics, 9: 2304.
https://doi.org/10.3390/app10041448
https://doi.org/10.3390/math9182304
34. Pons MI, Mill J, Fernandez-Quilez A, et al., 2022, Joint analysis
of morphological parameters and in silico haemodynamics of 40. Bangor A, Kortum P, Miller J, 2009, Determining what
the left atrial appendage for thrombogenic risk assessment. individual sus scores mean; Adding an adjective rating.
J Interv Cardiol, 2022: 9125224. J Usability Stud, 4: 114–123.
https://doi.org/10.1155/2022/9125224 41. Viceconti M, Pappalardo F, Rodriguez B, et al., 2021, In silico
trials: Verification, validation and uncertainty quantification
35. Feng L, Gao H, Griffith B, et al., 2019, Analysis of a coupled of predictive models used in the regulatory evaluation of
fluid-structure interaction model of the left atrium and biomedical products. Methods, 185: 120–127.
mitral valve. Int J Numer Method Biomed Eng, 35: e3254.
https://doi.org/10.1016/j.ymeth.2020.01.011
https://doi.org/10.1002/cnm.3254
42. Zaccaria A, Danielli F, Gasparotti E, et al., 2020, Left atrial
36. Mill J, Olivares AL, Arzamendi D, et al., 2020, Impact of appendage occlusion device: development and validation of
flow-dynamics on device related thrombosis after left atrial a finite element model. Med Eng Phys, 82: 104–108.
appendage occlusion. Can J Cardiol, 36: 968.e13–968.e14.
https://doi.org/10.1016/j.medengphy.2020.05.019
https://doi.org/10.1016/j.cjca.2019.12.036
43. Celi S, Gasparotti E, Capellini K, et al., 2021, 3D printing in
37. Mill J, Agudelo V, Li CH, et al., 2021, Patient-specific flow
simulation analysis to predict device-related thrombosis modern cardiology. Curr Pharm Des, 27: 1918–1930.
in left atrial appendage occluders. REC Interv Cardiol, 3: https://doi.org/10.2174/1381612826666200622132440

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