| abstract |
A method for calculating the risk of aortic rupture or dissection of an individual with an ascending thoracic aortic aneurysm, ATAA, is disclosed. The method includes the steps of obtaining a first data set linked to the clinical and/or demographic characteristics of the individual, obtaining a second data set linked to the biochemical characteristics of a biological sample of the individual, obtaining a third data set linked to the morphological and functional characteristics of the aorta and processing the third data set to obtain a fourth data set by computational modelling, integrating the first data set, the second data set, the third data set and the fourth data set in a predictive model to obtain a risk index (i) of aortic rupture or dissection, wherein the second data set includes expression values of at least one biomarker. |