On the role of material properties in ascending thoracic aortic aneurysms

被引:24
|
作者
Cosentino, Federica [1 ,2 ]
Agnese, Valentina [3 ]
Raffa, Giuseppe M. [3 ]
Gentile, Giovanni [3 ]
Bellavia, Diego [3 ]
Zingales, Massimiliano [4 ]
Pilato, Michele [3 ]
Pasta, Salvatore [2 ,3 ]
机构
[1] Univ Palermo, Biomed Dept Internal Med & Special DIBIMIS, Piazza Clin 2, I-90128 Palermo, Italy
[2] Fdn Ri MED, Via Bandiera 11, I-90133 Palermo, Italy
[3] IRCCS, ISMETT, Dept Treatment & Study Cardiothorac Dis & Cardiot, Via Tricomi 5, I-90127 Palermo, Italy
[4] Univ Palermo, Dept Civil, Environm, Aerosp,Mat Engn DICAM, Viale Sci Ed 8, I-90128 Palermo, Italy
关键词
Ascending aortic aneurysm; Inverse approach; Material parameters; Aortic aneurysm failure; Finite-element analysis; WALL SHEAR-STRESS; MECHANICAL-PROPERTIES; INVERSE METHOD; VALVE; QUANTIFICATION; DILATATION; PREDICTORS; DISSECTION; RISK;
D O I
10.1016/j.compbiomed.2019.04.022
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
One of the obstacles standing before the biomechanical analysis of an ascending thoracic aortic aneurysm (ATAA) is the difficulty in obtaining patient-specific material properties. This study aimed to evaluate differences on ATAA-related stress predictions resulting from the elastostatic analysis based on the optimization of arbitrary material properties versus the application of patient-specific material properties determined from ex-vivo biaxial testing. Specifically, the elastostatic analysis relies the on the fact that, if the aortic wall stress does not depend on material properties, the aorta has to be statistically determinate. Finite element analysis (FEA) was applied to a group of nine patients who underwent both angio-CT imaging to reconstruct ATAA anatomies and surgical repair of diseased aorta to collect tissue samples for experimental material testing. Tissue samples cut from excised ATAA rings were tested under equibiaxial loading conditions to obtain experimentally-derived material parameters by fitting stress-strain profiles. FEAs were carried out using both optimized and experimentally-derived material parameters to predict and compare the stress distribution using the mean absolute percentage error (MAPE). Although physiological strains were below yield point (range of 0.08-0.25), elastostatic analysis led to errors on the stress predictions that depended on the type of constitutive model (highest MAPE of 0.7545 for Yeoh model and 0.7683 for Fung model) and ATAA geometry (lowest MAPE of 0.0349 for patient P.7). Elastostatic analysis needs better understanding of its application for determining aneurysm mechanics, and patient-specific material parameters are essential for reliable accurate stress predictions in ATAAs.
引用
收藏
页码:70 / 78
页数:9
相关论文
共 50 条
  • [41] Aortic wall stress in hypertension and ascending thoracic aortic aneurysms: Implications for antihypertensive therapy
    Rabkin S.W.
    Janusz M.T.
    High Blood Pressure & Cardiovascular Prevention, 2013, 20 (4) : 265 - 271
  • [42] Identification of vessel wall degradation in ascending thoracic aortic aneurysms with OCT
    Real, Eusebio
    Fernando Val-Bernal, Jose
    Revuelta, Jose M.
    Ponton, Alejandro
    Calvo Diez, Marta
    Mayorga, Marta
    Lopez-Higuera, Jose M.
    Conde, Olga M.
    BIOMEDICAL OPTICS EXPRESS, 2014, 5 (11): : 4089 - 4100
  • [43] Association of diameter and wall stresses of tricuspid aortic valve ascending thoracic aortic aneurysms
    Gomez, Axel
    Wang, Zhongjie
    Xuan, Yue
    Hope, Michael D.
    Saloner, David A.
    Guccione, Julius M.
    Ge, Liang
    Tseng, Elaine E.
    JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, 2022, 164 (05): : 1365 - 1375
  • [44] Wall Stress Distribution in Ascending Thoracic Aortic Aneurysms Associated with Tricuspid Aortic Valve
    Gomez, Axel
    Wang, Zhongjie
    Xuan, Yue
    Ge, Liang
    Tseng, Elaine
    JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS, 2020, 231 (04) : E91 - E92
  • [45] Aneurysms of the ascending thoracic aorta
    Al-Attar, Nawwar
    Nataf, Patrick
    PRESSE MEDICALE, 2010, 39 (01): : 26 - 33
  • [46] Wall Stress Distribution in Bicuspid Aortic Valve-Associated Ascending Thoracic Aortic Aneurysms
    Gomez, Axel
    Wang, Zhongjie
    Xuan, Yue
    Wisneski, Andrew D.
    Hope, Michael D.
    Saloner, David A.
    Guccione, Julius M.
    Ge, Liang
    Tseng, Elaine E.
    ANNALS OF THORACIC SURGERY, 2020, 110 (03): : 807 - 814
  • [47] Difference in hemodynamic and wall stress of ascending thoracic aortic aneurysms with bicuspid and tricuspid aortic valve
    Pasta, Salvatore
    Rinaudo, Antonino
    Luca, Angelo
    Pilato, Michele
    Scardulla, Cesare
    Gleason, Thomas G.
    Vorp, David A.
    JOURNAL OF BIOMECHANICS, 2013, 46 (10) : 1729 - 1738
  • [48] Layer- and region-specific material characterization of ascending thoracic aortic aneurysms by microstructure-based models
    Sassani, Sophia G.
    Tsangaris, Sokrates
    Sokolis, Dimitrios P.
    JOURNAL OF BIOMECHANICS, 2015, 48 (14) : 3757 - 3765
  • [49] Clinical Application of Deep Learning for Stress Analysis of Ascending Thoracic Aortic Aneurysms
    Rahaman, Imon
    Wang, Zhongjie
    Xuan, Yue
    Ge, Liang
    Tseng, Elaine E.
    CIRCULATION, 2020, 142
  • [50] The complex interplay among atherosclerosis, inflammation, and degeneration in ascending thoracic aortic aneurysms
    Leone, Ornella
    Corsini, Anna
    Pacini, Davide
    Corti, Barbara
    Lorenzini, Massimiliano
    Laus, Vera
    Foa, Alberto
    Reggiani, Maria Letizia Bacchi
    Di Marco, Luca
    Rapezzi, Claudio
    JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, 2020, 160 (06): : 1434 - +