Role of computational modeling in thoracic aortic pathology: A review

Salvatore Pasta, Michele Pilato, Andrea Amaducci, Salvatore Pasta, Fabrizio Follis, Jake J. Lee, Giuseppe D'Ancona

Risultato della ricerca: Article

21 Citazioni (Scopus)

Abstract

Thoracic aortic diseases are life-threatening conditions causing significant mortality and morbidity despite advances in diagnostic and surgical treatments. Computational methods combined with imaging techniques provide quantitative information of disease progression, which may improve clinical treatments and therapeutic strategies for clinical practice. Since hemodynamic and wall mechanics play important roles in the natural history and progression of aortic diseases, we reviewed the potential application of computational modeling of the thoracic aorta. We placed emphasis on the clinical relevance of these techniques for the assessment of aortic dissection, thoracic aortic aneurysm, and aortic coarctation. Current clinical guidelines and treatment are also described. doi: 10.1111/jocs.12413 (J Card Surg 2014;29:653-662)
Lingua originaleEnglish
pagine (da-a)653-662
Numero di pagine10
RivistaJournal of Cardiac Surgery
Volume29
Stato di pubblicazionePublished - 2014

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All Science Journal Classification (ASJC) codes

  • Surgery
  • Pulmonary and Respiratory Medicine
  • Cardiology and Cardiovascular Medicine

Cita questo

Pasta, S., Pilato, M., Amaducci, A., Pasta, S., Follis, F., Lee, J. J., & D'Ancona, G. (2014). Role of computational modeling in thoracic aortic pathology: A review. Journal of Cardiac Surgery, 29, 653-662.