title: Wall stress distribution on three-dimensionally reconstructed models of human abdominal aortic aneurysm.
abstract: OBJECTIVE
  Abdominal aortic aneurysm (AAA) rupture is believed to occur when the mechanical stress acting on the wall exceeds the strength of the wall tissue. Therefore, knowledge of the stress distribution in an intact AAA wall could be useful in assessing its risk of rupture. We developed a methodology to noninvasively estimate the in vivo wall stress distribution for actual AAAs on a patient-to-patient basis.
  
  
  METHODS
  Six patients with AAAs and one control patient with a nonaneurysmal aorta were the study subjects. Data from spiral computed tomography scans were used as a means of three-dimensionally reconstructing the in situ geometry of the intact AAAs and the control aorta. We used a nonlinear biomechanical model developed specifically for AAA wall tissue. By means of the finite element method, the stress distribution on the aortic wall of all subjects under systolic blood pressure was determined and studied.
  
  
  RESULTS
  In all the AAA cases, the wall stress was complexly distributed, with distinct regions of high and low stress. Peak wall stress among AAA patients varied from 29 N/cm(2) to 45 N/cm(2) and was found on the posterior surface in all cases studied. The wall stress on the nonaneurysmal aorta in the control subject was relatively low and uniformly distributed, with a peak wall stress of 12 N/cm(2). AAA volume, rather than AAA diameter, was shown by means of statistical analysis to be a better indicator of high wall stresses and possibly rupture.
  
  
  CONCLUSIONS
  The approach taken to estimate AAA wall stress distribution is completely noninvasive and does not require any additional involvement or expense by the AAA patient. We believe that this methodology may allow for the evaluation of an individual AAA's rupture risk on a more biophysically sound basis than the widely used 5-cm AAA diameter criterion.
authors.affiliation: Department of Surgery, Bioengineering, and Radiology, University of Pittsburgh, PA 15213, USA.
authors.forename: M L
authors.initials: ML
authors.lastname: Raghavan
authors.forename: D A
authors.initials: DA
authors.lastname: Vorp
authors.forename: M P
authors.initials: MP
authors.lastname: Federle
authors.forename: M S
authors.initials: MS
authors.lastname: Makaroun
authors.forename: M W
authors.initials: MW
authors.lastname: Webster
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D019412:Anatomy, Cross-Sectional; D001012:Aorta, Abdominal / Q000000981:diagnostic imaging / Q000503:physiopathology; D017544:Aortic Aneurysm, Abdominal / Q000000981:diagnostic imaging / Q000503:physiopathology*; D001019:Aortic Rupture / Q000503:physiopathology; D001794:Blood Pressure / Q000502:physiology; D003198:Computer Simulation; D005260:Female; D020342:Finite Element Analysis; D018056:Hemorheology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008954:Models, Biological; D017711:Nonlinear Dynamics; D012307:Risk Factors; D013314:Stress, Mechanical; D013599:Systole; D014057:Tomography, X-Ray Computed