Analysis and computer program for rupture-risk prediction of abdominal aortic aneurysms.
BACKGROUND
Ruptured abdominal aortic aneurysms (AAAs) are the 13th leading cause of death in the United States. While AAA rupture may occur without significant warning, its risk assessment is generally based on critical values of the maximum AAA diameter (> 5 cm) and AAA-growth rate (> 0.5 cm/year). These criteria may be insufficient for reliable AAA-rupture risk assessment especially when predicting possible rupture of smaller AAAs.


METHODS
Based on clinical evidence, eight biomechanical factors with associated weighting coefficients were determined and summed up in terms of a dimensionless, time-dependent severity parameter, SP(t). The most important factor is the maximum wall stress for which a semi-empirical correlation has been developed.


RESULTS
The patient-specific SP(t) indicates the risk level of AAA rupture and provides a threshold value when surgical intervention becomes necessary. The severity parameter was validated with four clinical cases and its application is demonstrated for two AAA cases.


CONCLUSIONS
As part of computational AAA-risk assessment and medical management, a patient-specific severity parameter 0 < SP(t) < 1.0 has been developed. The time-dependent, normalized SP(t) depends on eight biomechanical factors, to be obtained via a patient's pressure and AAA-geometry measurements. The resulting program is an easy-to-use tool which allows medical practitioners to make scientific diagnoses, which may save lives and should lead to an improved quality of life.
Kleinstreuer
Clement
C
Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina, USA. ck@eos.ncsu.edu
Li
Zhonghua
Z
D017544:Aortic Aneurysm, Abdominal / Q000473:pathology* / Q000503:physiopathology; D001019:Aortic Rupture / Q000175:diagnosis*; D001696:Biomechanical Phenomena; D006801:Humans; D018570:Risk Assessment; D012984:Software