Cammalleri, V.; Carpenito, M.; De Stefano, D.; Ussia, G.P.; Bono, M.C.; Mega, S.; Nusca, A.; Cocco, N.; Nobile, E.; De Filippis, A.;
et al. Novel Computed Tomography Variables for Assessing Tricuspid Valve Morphology: Results from the TRIMA (Tricuspid Regurgitation IMAging) Study. J. Clin. Med. 2022, 11, 2825.
https://doi.org/10.3390/jcm11102825
AMA Style
Cammalleri V, Carpenito M, De Stefano D, Ussia GP, Bono MC, Mega S, Nusca A, Cocco N, Nobile E, De Filippis A,
et al. Novel Computed Tomography Variables for Assessing Tricuspid Valve Morphology: Results from the TRIMA (Tricuspid Regurgitation IMAging) Study. Journal of Clinical Medicine. 2022; 11(10):2825.
https://doi.org/10.3390/jcm11102825
Chicago/Turabian Style
Cammalleri, Valeria, Myriam Carpenito, Domenico De Stefano, Gian Paolo Ussia, Maria Caterina Bono, Simona Mega, Annunziata Nusca, Nino Cocco, Edoardo Nobile, Aurelio De Filippis,
and et al. 2022. "Novel Computed Tomography Variables for Assessing Tricuspid Valve Morphology: Results from the TRIMA (Tricuspid Regurgitation IMAging) Study" Journal of Clinical Medicine 11, no. 10: 2825.
https://doi.org/10.3390/jcm11102825
APA Style
Cammalleri, V., Carpenito, M., De Stefano, D., Ussia, G. P., Bono, M. C., Mega, S., Nusca, A., Cocco, N., Nobile, E., De Filippis, A., Vitez, L., Quattrocchi, C. C., & Grigioni, F.
(2022). Novel Computed Tomography Variables for Assessing Tricuspid Valve Morphology: Results from the TRIMA (Tricuspid Regurgitation IMAging) Study. Journal of Clinical Medicine, 11(10), 2825.
https://doi.org/10.3390/jcm11102825