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An analytical equation has been proposed to predict the aneurysm progression based on age, sex, and body surface area. Parameters such as helicity, wall shear stress (WSS), time\u2010averaged WSS, oscillatory shear index, relative residence time, and viscosity were evaluated for two patients at different stages of aneurysm growth, and compared with age\u2010sex\u2010matched healthy subjects. The study shows that evolution of hemodynamics and RPI, despite being very slow in ATAAs, is strongly affected by morphological alterations and, in turn could impact biomechanical factors and aortic mechanobiology. An aspect of the current work is that the patient\u2010specific 4D MRI data sets were obtained with a follow\u2010up of 1 year and the measured time\u2010averaged velocity maps and flow eccentricity were compared with the CFD simulation for validation. The computational framework presented here is capable of capturing the blood flow patterns and the hemodynamic descriptors during the various stages of aneurysm growth. Further investigations will be conducted in order to verify these results on a larger cohort of patients and with long follow\u2010up times to finally elucidate the link between deranged hemodynamics, AA geometry, and wall mechanical properties in ATAAs.<\/jats:p>","DOI":"10.1002\/cnm.3326","type":"journal-article","created":{"date-parts":[[2020,2,22]],"date-time":"2020-02-22T15:51:07Z","timestamp":1582386667000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Computational prediction of hemodynamical and biomechanical alterations induced by aneurysm dilatation in patient\u2010specific ascending thoracic aortas"],"prefix":"10.1002","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1953-3347","authenticated-orcid":false,"given":"Raja","family":"Jayendiran","sequence":"first","affiliation":[{"name":"Mines Saint\u2010Etienne, Universit\u00e9 de Lyon, INSERM, U1059, SAINBIOSE, Saint\u2010Etienne 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