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Cerebral aneurysms are pathological dilatations of the arterial wall frequently located near arterial bifurcations in the circle of Willis. The most serious consequence is their rupture and hemorrhage into the subarachnoid space, with an associated high mortality and morbidity rate. Greater availability and improvement of neuroradiological techniques have resulted in more frequent detection of unruptured aneurysms. Because prognosis of subarachnoid hemorrhage is still poor, preventive surgery is increasingly considered as a therapeutic option. But treatment risk is often comparable to the…mehr

Produktbeschreibung
Cerebral aneurysms are pathological dilatations of
the arterial wall frequently located near arterial
bifurcations in the circle of Willis. The most
serious consequence is their rupture and hemorrhage
into the subarachnoid space, with an associated high
mortality and morbidity rate. Greater availability
and improvement of neuroradiological techniques have
resulted in more frequent detection of unruptured
aneurysms. Because prognosis of subarachnoid
hemorrhage is still poor, preventive surgery is
increasingly considered as a therapeutic option. But
treatment risk is often comparable to the yearly
risk of rupture. Therefore, the best patient care
would be to treat only those patients who are likely
to rupture, which requires a better understanding of
the process of aneurysm formation, progression, and
rupture. Since to date there are no reliable non-
invasive technique for in vivo quantification of
aneurysmal flow patterns, we use our state of the
art computational tools for patient-specific
hemodynamic modeling. This book includes validation
and sensitivity studies as well as investigations of
possible associations between hemodynamics and
rupture.
Autorenporträt
Dr. Marcelo A. Castro is a MSc. in Physics and PhD in Computational
Sciences who works on patient-specific studies of the
hemodynamics of cerebral aneurysms advised by Dr. J. Cebral at
George Mason University (USA). He also works at the
National Institutes of Health (USA) developing and applying
image processing techniques for cancer research.