Ruptura de aneurismas de aorta abdominal. Herramienta informática para su predicción // Rupture of abdominal aortic aneurysm. Software for its prediction
Abstract
La ruptura de los aneurismas de aorta abdominal representa un evento clínico muy importante
debido a su alta tasa de mortalidad. Los indicadores empleados actualmente para decidir el
tratamiento a pacientes con aneurismas son el diámetro máximo transversal y la tasa de crecimiento,
los que pueden ser considerados insuficientes, pues no tienen una base teórica físicamente
fundamentada. En el presente artículo se definen los fundamentos para el diseño de una herramienta
informática para PC que permita predecir, con suficiente precisión para ser clínicamente relevante, el
riesgo de ruptura de aneurismas de aorta abdominal sobre bases personalizadas del paciente. La
herramienta consta de 3 módulos, que están diseñados para procesar toda la información del
paciente e integrarla mediante un modelo que incorpora la interrelación de los factores biomecánicos
de diferentes naturalezas (biológicos, estructurales y geométrico) y escalas (temporal y dimensional),
con el objetivo de calcular un indicador numérico y personalizado del riesgo de ruptura. Esta
herramienta debe constituir un elemento auxiliar del facultativo médico en la toma de decisiones
respecto del tratamiento adecuado a pacientes con aneurisma.
Palabras claves: AAA, riesgo de ruptura, modelo multiescala, predicción, herramienta informática.
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Abstract
The rupture of abdominal aortic aneurysm (AAA) represents an important clinical event due to its high
mortality rate. Currently the criteria to decide on the treatment of AAA patients are the peak
transverse diameter and the growth rate which can be considered insufficient because they have not
a reasonable physical base. The foundations for the design of PC software to predict, with sufficient
accuracy to be clinically relevant, the risk of AAA rupture on patient-specific basis are defined in this
paper. The software consists of 3 modules which are designed for processing all patient-specific
information and integrate them through a model that interrelates the different nature (biological,
structural and geometric) and scales (temporal and dimensional) biomechanical factors, in order to
calculate a numerical and patient-specific indicator of the rupture risk. This tool should be an auxiliary
element to physician in making decision on appropriate treatment decisions for patients with
aneurysm.
Key words: AAA, rupture risk, multiscale model, prediction, computer tool.
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