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Multiscale Model of Ascending Thoracic Aortic Aneurysm

Multiscale Model of Ascending Thoracic Aortic Aneurysm
升胸主动脉瘤的多尺度模型
批准号:
10220118
负责人:
VICTOR H BAROCAS
金额:
$37.85万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-07-01 至 2023-06-30

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中文摘要
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英文摘要
Thoracic aortic aneurysms, a majority of which occur in the ascending aorta, have significant mortality risk and are thus a major health concern. The primary risk in ascending thoracic aortic aneurysm (aTAA) is that of aortic dissection (splitting the aortic wall) with subsequent damage to coronary vessels and/or the aortic valve, or possibly rupture of the aorta itself. Surgical repair has its own risks, and the current state of the art, based on correlation between aTAA diameter and likelihood of rupture, is statistical, meaning that some patients who do not have surgery die from aneurysm complications, and others undergo a dangerous surgery when conservative treatment would suffice. For better risk assessment, we must understand what features of an aneurysm (or a pre-aneurysmal dilatation) are most threatening. We propose to develop a predictive, multiscale model of the remodeling, dissection, and possible rupture of an aTAA. The model will bridge two scales: the (continuous) vessel scale, capturing the gross shape of the aneurysm, and the (discrete) cell/lamellar scale, accounting for elastin and collagen in an elastic lamella of the vessel wall, an idealized smooth muscle cell, and interlamellar connections. The mechanical response of these small-scale elements will be fully coupled to the macroscopic scale. Because the microscale model will treat individual elements separately and structurally, we will be able to impose more complex and realistic remodeling rules than current continuous, constrained-mixture models. For example, we will be able to introduce collagen deposition by the smooth muscle cells based on the stretch of cytoskeletal elements, we will be able to degrade individual collagen fibers rather than introducing treating the problem in terms of a mass density, and we will be able to account for complex deformations that arise from the non-cylindrical geometry of the aTAA. This approach is the natural and necessary next generation following on the last three to four decades of continuum-level remodeling laws. The multiscale model will be parameterized by comparing model results to the experimental data, and once properly specified, the model will be used to generate and test hypotheses about the nature of aTAA growth and rupture, such as exploring the specific role of interlamellar connections or different possible remodeling rules. This project will provide new insight into the mechanisms by which aTAA’s grow and fail, and it will also serve as a potential paradigm for other studies of remodeling in the vascular system and beyond.
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Ex Vivo Mechanical Tests and Multiscale Computational Modeling Highlight the Importance of Intramural Shear Stress in Ascending Thoracic Aortic Aneurysms.
离体机械测试和多尺度计算模型强调了壁内剪切应力在升胸主动脉瘤中的重要性。
DOI: 10.1115/1.4045270
发表时间: 2019
期刊: Journal of biomechanical engineering
影响因子: --
作者: [Korenczuk,ChristopherE, Dhume,RohitY, Liao,KennethK, Barocas,VictorH]
通讯作者: Barocas,VictorH
DOI: 10.1007/s10237-023-01713-6
发表时间: 2023-08
期刊: BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
影响因子: 3.5
作者: [Flanary, Shannon M., Barocas, Victor H.]
通讯作者: Barocas, Victor H.
Statistical shape representation of the thoracic aorta: accounting for major branches of the aortic arch.
胸主动脉的统计形状表示:考虑主动脉弓的主要分支。
DOI: 10.1080/10255842.2022.2128672
发表时间: 2023
期刊: Computer methods in biomechanics and biomedical engineering
影响因子: 1.6
作者: [Wiputra,Hadi, Matsumoto,Shion, Wagenseil,JessicaE, Braverman,AlanC, Voeller,RochusK, Barocas,VictorH]
通讯作者: Barocas,VictorH
DOI: 10.1007/s11340-020-00623-3
发表时间: 2021-01
期刊: Experimental mechanics
影响因子: 2.4
作者: [Mahutga RR, Schoephoerster CT, Barocas VH]
通讯作者: Barocas VH
SPINE-WORK: An inclusive research community to study and improve force-based manipulations for spine pain
  • 批准号:
    10612059
  • 项目类别:
  • 资助金额:
    $64.11万
  • 财政年份:
    2022
  • 负责人:
    VICTOR H BAROCAS
  • 依托单位:
Complementary animal and computational models for biomarker identification in ascending thoracic aortic aneurysm
  • 批准号:
    10503513
  • 项目类别:
  • 资助金额:
    $62.38万
  • 财政年份:
    2022
  • 负责人:
    VICTOR H BAROCAS
  • 依托单位:
Complementary animal and computational models for biomarker identification in ascending thoracic aortic aneurysm
  • 批准号:
    10646286
  • 项目类别:
  • 资助金额:
    $60.04万
  • 财政年份:
    2022
  • 负责人:
    VICTOR H BAROCAS
  • 依托单位:
SPINE-WORK: An inclusive research community to study and improve force-based manipulations for spine pain
  • 批准号:
    10458296
  • 项目类别:
  • 资助金额:
    $65.68万
  • 财政年份:
    2022
  • 负责人:
    VICTOR H BAROCAS
  • 依托单位:
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