Cite
Identification of subclinical cardiac amyloidosis in aortic stenosis patients undergoing transaortic valve replacement using radiomic analysis of computed tomography myocardial texture.
MLA
Lo Iacono, Francesca, et al. “Identification of Subclinical Cardiac Amyloidosis in Aortic Stenosis Patients Undergoing Transaortic Valve Replacement Using Radiomic Analysis of Computed Tomography Myocardial Texture.” Journal of Cardiovascular Computed Tomography, vol. 17, no. 4, July 2023, pp. 286–88. EBSCOhost, https://doi.org/10.1016/j.jcct.2023.04.002.
APA
Lo Iacono, F., Maragna, R., Guglielmo, M., Chiesa, M., Fusini, L., Annoni, A., Babbaro, M., Baggiano, A., Carerj, M. L., Cilia, F., Del Torto, A., Formenti, A., Mancini, M. E., Marchetti, F., Muratori, M., Mushtaq, S., Penso, M., Pirola, S., Tassetti, L., … Pontone, G. (2023). Identification of subclinical cardiac amyloidosis in aortic stenosis patients undergoing transaortic valve replacement using radiomic analysis of computed tomography myocardial texture. Journal of Cardiovascular Computed Tomography, 17(4), 286–288. https://doi.org/10.1016/j.jcct.2023.04.002
Chicago
Lo Iacono, Francesca, Riccardo Maragna, Marco Guglielmo, Mattia Chiesa, Laura Fusini, Andrea Annoni, Mario Babbaro, et al. 2023. “Identification of Subclinical Cardiac Amyloidosis in Aortic Stenosis Patients Undergoing Transaortic Valve Replacement Using Radiomic Analysis of Computed Tomography Myocardial Texture.” Journal of Cardiovascular Computed Tomography 17 (4): 286–88. doi:10.1016/j.jcct.2023.04.002.