Strain Mapping From Four-Dimensional Ultrasound Reveals Complex Remodeling in Dissecting Murine Abdominal Aortic AneurysmsSource: Journal of Biomechanical Engineering:;2019:;volume( 141 ):;issue: 006::page 60907Author:Cebull, Hannah L.
,
Soepriatna, Arvin H.
,
Boyle, John J.
,
Rothenberger, Sean M.
,
Goergen, Craig J.
DOI: 10.1115/1.4043075Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Current in vivo abdominal aortic aneurysm (AAA) imaging approaches tend to focus on maximum diameter but do not measure three-dimensional (3D) vascular deformation or strain. Complex vessel geometries, heterogeneous wall compositions, and surrounding structures can all influence aortic strain. Improved understanding of complex aortic kinematics has the potential to increase our ability to predict aneurysm expansion and eventual rupture. Here, we describe a method that combines four-dimensional (4D) ultrasound and direct deformation estimation to compute in vivo 3D Green-Lagrange strain in murine angiotensin II-induced suprarenal dissecting aortic aneurysms, a commonly used small animal model. We compared heterogeneous patterns of the maximum, first-component 3D Green-Lagrange strain with vessel composition from mice with varying AAA morphologies. Intramural thrombus and focal breakage in the medial elastin significantly reduced aortic strain. Interestingly, a dissection that was not detected with high-frequency ultrasound also experienced reduced strain, suggesting medial elastin breakage that was later confirmed via histology. These results suggest that in vivo measurements of 3D strain can provide improved insight into aneurysm disease progression. While further work is needed with both preclinical animal models and human imaging studies, this initial murine study indicates that vessel strain should be considered when developing an improved metric for predicting aneurysm growth and rupture.
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| contributor author | Cebull, Hannah L. | |
| contributor author | Soepriatna, Arvin H. | |
| contributor author | Boyle, John J. | |
| contributor author | Rothenberger, Sean M. | |
| contributor author | Goergen, Craig J. | |
| date accessioned | 2019-09-18T09:06:18Z | |
| date available | 2019-09-18T09:06:18Z | |
| date copyright | 4/22/2019 12:00:00 AM | |
| date issued | 2019 | |
| identifier issn | 0148-0731 | |
| identifier other | bio_141_06_060907 | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4258908 | |
| description abstract | Current in vivo abdominal aortic aneurysm (AAA) imaging approaches tend to focus on maximum diameter but do not measure three-dimensional (3D) vascular deformation or strain. Complex vessel geometries, heterogeneous wall compositions, and surrounding structures can all influence aortic strain. Improved understanding of complex aortic kinematics has the potential to increase our ability to predict aneurysm expansion and eventual rupture. Here, we describe a method that combines four-dimensional (4D) ultrasound and direct deformation estimation to compute in vivo 3D Green-Lagrange strain in murine angiotensin II-induced suprarenal dissecting aortic aneurysms, a commonly used small animal model. We compared heterogeneous patterns of the maximum, first-component 3D Green-Lagrange strain with vessel composition from mice with varying AAA morphologies. Intramural thrombus and focal breakage in the medial elastin significantly reduced aortic strain. Interestingly, a dissection that was not detected with high-frequency ultrasound also experienced reduced strain, suggesting medial elastin breakage that was later confirmed via histology. These results suggest that in vivo measurements of 3D strain can provide improved insight into aneurysm disease progression. While further work is needed with both preclinical animal models and human imaging studies, this initial murine study indicates that vessel strain should be considered when developing an improved metric for predicting aneurysm growth and rupture. | |
| publisher | American Society of Mechanical Engineers (ASME) | |
| title | Strain Mapping From Four-Dimensional Ultrasound Reveals Complex Remodeling in Dissecting Murine Abdominal Aortic Aneurysms | |
| type | Journal Paper | |
| journal volume | 141 | |
| journal issue | 6 | |
| journal title | Journal of Biomechanical Engineering | |
| identifier doi | 10.1115/1.4043075 | |
| journal fristpage | 60907 | |
| journal lastpage | 060907-8 | |
| tree | Journal of Biomechanical Engineering:;2019:;volume( 141 ):;issue: 006 | |
| contenttype | Fulltext |