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Role of Computational Modeling in Thoracic Aortic Pathology: A Review
Author(s) -
Lee Jake J.,
D'Ancona Giuseppe,
Amaducci Andrea,
Follis Fabrizio,
Pilato Michele,
Pasta Salvatore
Publication year - 2014
Publication title -
journal of cardiac surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 58
eISSN - 1540-8191
pISSN - 0886-0440
DOI - 10.1111/jocs.12413
Subject(s) - medicine , natural history , thoracic aorta , thoracic aortic aneurysm , aorta , aortic aneurysm , aortic dissection , disease , aneurysm , radiology , clinical practice , cardiology , acute aortic syndrome , clinical significance , intensive care medicine , physical therapy
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)