High Resolution Strain Analysis Comparing Aorta and Abdominal Aortic Aneurysm with Real Time Three Dimensional Speckle Tracking Ultrasound.

OBJECTIVE/BACKGROUND Ultrasound measurement of aortic diameter for aneurysm screening allows supervision of aneurysm growth. Additional biomechanical analysis of wall motion and aneurysm deformation can supply information about individual elastic properties and the pathological state of the aortic wall. Local aortic wall motion was analyzed through imaged aortic segments according to age and pathology. METHODS Sixty-five patients were examined with a commercial four dimensional ultrasound system (4D-US). Three groups were defined: patients with normal aortic diameter and younger than 60 years of age (n = 21); those with normal aortic diameter and older than 60 years of age (n = 25); and those with infrarenal aortic aneurysm (n = 19). A diastolic reference shape of aortic wall segments was obtained and local and temporally resolved wall strain was determined. Indices characterizing the resulting wall strain distribution were determined. RESULTS The analysis of biomechanical properties displayed increasing heterogeneous and dyssynchronous circumferential strain with increasing patient age. Young patients exhibited higher mean strain amplitude. The distribution of the spatial heterogeneity index and local strain ratio was inversely proportional to age. The maximum local strain amplitude was significantly higher in the young (0.26 ± 0.17) compared with the old (0.16 ± 0.07) or aneurysmal aorta (0.16 ± 0.10). Temporal dyssynchrony significantly differed between young (0.13 ± 0.10) and old (aneurysmal 0.31 ± 0.04, non-aneurysmal 0.29 ± 0.05), regardless of aortic diameter. The spatial heterogeneity index and local strain ratio differentiate non-aneurysmal and aneurysmal aorta, regardless of age. CONCLUSIONS 4D-US strain imaging enables description of individual wall motion (kinematics) of the infrarenal aorta with high spatial and temporal resolution. Functional differences between young, old, and aneurysmal aorta can be described by mean (circumferential) strain amplitude, the spatial heterogeneity index, and the local strain ratio. Further investigation is required to refine this new perspective of patient individualized characterization of the pathological AAA wall and eventually to rupture risk stratification.

[1]  Sebastian Vogt,et al.  In vivo determination of elastic properties of the human aorta based on 4D ultrasound data. , 2013, Journal of the mechanical behavior of biomedical materials.

[2]  A. R. Brady,et al.  Mortality results for randomised controlled trial of early elective surgery or ultrasonographic surveillance for small abdominal aortic aneurysms , 1998, The Lancet.

[3]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[4]  Jonathan P Vande Geest,et al.  Biomechanical properties of ruptured versus electively repaired abdominal aortic aneurysm wall tissue. , 2006, Journal of vascular surgery.

[5]  M. Balasubramaniam,et al.  Size and location of thrombus in intact and ruptured abdominal aortic aneurysms. , 2005, Journal of vascular surgery.

[6]  Tomoko Ishizu,et al.  Validation of 3-Dimensional Speckle Tracking Imaging to Quantify Regional Myocardial Deformation , 2009, Circulation. Cardiovascular imaging.

[7]  Sebastian Vogt,et al.  Method for aortic wall strain measurement with three-dimensional ultrasound speckle tracking and fitted finite element analysis. , 2013, The Annals of thoracic surgery.

[8]  T Länne,et al.  Abdominal aortic aneurysm wall mechanics and their relation to risk of rupture. , 1999, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[9]  John Gorcsan,et al.  Echocardiographic assessment of myocardial strain. , 2011, Journal of the American College of Cardiology.

[10]  Pierre Badel,et al.  In vitro analysis of localized aneurysm rupture. , 2014, Journal of biomechanics.

[11]  R D Sayers,et al.  A multicentre observational study of the outcomes of screening detected sub-aneurysmal aortic dilatation. , 2013, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[12]  S. Kapetanakis,et al.  Real-Time Three-Dimensional Echocardiography: A Novel Technique to Quantify Global Left Ventricular Mechanical Dyssynchrony , 2005, Circulation.

[13]  P. Puech-Leão,et al.  Predictive factors for rupture of thoracoabdominal aortic aneurysm. , 1998, Journal of vascular surgery.

[14]  T. Prevost,et al.  Growth rates and risk of rupture of abdominal aortic aneurysms , 1998, The British journal of surgery.

[15]  A Nchimi,et al.  A novel strategy to translate the biomechanical rupture risk of abdominal aortic aneurysms to their equivalent diameter risk: method and retrospective validation. , 2014, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[16]  M J Buxton,et al.  Final follow-up of the Multicentre Aneurysm Screening Study (MASS) randomized trial of abdominal aortic aneurysm screening , 2012, The British journal of surgery.

[17]  Mark F Fillinger,et al.  Prediction of rupture risk in abdominal aortic aneurysm during observation: wall stress versus diameter. , 2003, Journal of vascular surgery.

[18]  P. Boutouyrie,et al.  Opposing effects of ageing on distal and proximal large arteries in hypertensives , 1992, Journal of hypertension. Supplement : official journal of the International Society of Hypertension.

[19]  A. Shelke,et al.  Strain measurement of abdominal aortic aneurysm with real-time 3D ultrasound speckle tracking. , 2013, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.