Guillermo Vilalta-Alonso

Guillermo Vilalta-Alonso

Departamento de Ciencias Termicas e dos Fluidos/UFSJ

Title: Abdominal aortic aneurysm rupture risk prediction, an open challenge for vascular surgeons


Guillermo Vilalta-Alonso obtained the Degree of Mechanical Engineering from Instituto Superior Politecnico Jose A. Echeverria/Havana, Master and Dr. in Mechanical Engineering from the University of Sao Paulo/ Brazil. Currently is associated professor at Thermal Sciences and Fluid Department of the Federal University of São João del-Rei/Brazil. His research interests include numerical simulation, fluid mechanics, turbomachinery and biomechanics. Member of the European Society of Biomechanics.


Abdominal aortic aneurysms (AAAs) rupture is one of the main causes of death in the world. Nowadays, there is consensus that current criteria to assess the aneurysm rupture risk (maximum transverse diameter and growth rate) cannot be considered as reliable indicators. Hence, the clinical management of aneurysmatic patients faces the challenge of identifying if other indices could be used as rupture predictors. Recently, rupture predictor indices have been proposed among they asymmetry, effect of intraluminal thrombus, wall stiffness and thickness saccular index, mechanical stress. Some of these indices have been more successful than others due to the difficulty for extracting in-vivo and non-invasive information, difficulting its implementation in daily clinical management. To overcome this limitation and considering the influence of the AAA morphology on aneurysm rupture potential, some size and shape geometric indices, based on lumen centerline, have been proposed and have been correlated with the hemodynamic stresses, as an indicator of the rupture risk. The main advantage of the geometric indices is that they can be determined, in easy way, from computed tomography. The objective of this study is to discuss the basics of this approach and how it can help to gain physical insight based on quantitative results. The results up to now obtained show that statistical techniques could be an appropriate method to determine potential correlations and that other indices like, asymmetry, deformation rate, AAA length, saccular index, are important and could also be readily incorporated into surgeon’s decision making.