A Comparative Study of Biomechanical and Geometrical Attributes of Abdominal Aortic Aneurysms in the Asian and Caucasian Populations Article Swipe
Tejas Canchi
,
Sourav S. Patnaik
,
Hong N. Nguyen
,
E. Y. K. Ng
,
Sriram Narayanan
,
Satish C. Muluk
,
Victor De Oliveira
,
Ender A. Finol
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1115/1.4045268
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1115/1.4045268
In this work, we provide a quantitative assessment of the biomechanical and geometric features that characterize abdominal aortic aneurysm (AAA) models generated from 19 Asian and 19 Caucasian diameter-matched AAA patients. 3D patient-specific finite element models were generated and used to compute peak wall stress (PWS), 99th percentile wall stress (99th WS), and spatially averaged wall stress (AWS) for each AAA. In addition, 51 global geometric indices were calculated, which quantify the wall thickness, shape, and curvature of each AAA. The indices were correlated with 99th WS (the only biomechanical metric that exhibited significant association with geometric indices) using Spearman's correlation and subsequently with multivariate linear regression using backward elimination. For the Asian AAA group, 99th WS was highly correlated (R2 = 0.77) with three geometric indices, namely tortuosity, intraluminal thrombus volume, and area-averaged Gaussian curvature. Similarly, 99th WS in the Caucasian AAA group was highly correlated (R2 = 0.87) with six geometric indices, namely maximum AAA diameter, distal neck diameter, diameter–height ratio, minimum wall thickness variance, mode of the wall thickness variance, and area-averaged Gaussian curvature. Significant differences were found between the two groups for ten geometric indices; however, no differences were found for any of their respective biomechanical attributes. Assuming maximum AAA diameter as the most predictive metric for wall stress was found to be imprecise: 24% and 28% accuracy for the Asian and Caucasian groups, respectively. This investigation reveals that geometric indices other than maximum AAA diameter can serve as predictors of wall stress, and potentially for assessment of aneurysm rupture risk, in the Asian and Caucasian AAA populations.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1115/1.4045268
- OA Status
- green
- Cited By
- 4
- References
- 72
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2982183515
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2982183515Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1115/1.4045268Digital Object Identifier
- Title
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A Comparative Study of Biomechanical and Geometrical Attributes of Abdominal Aortic Aneurysms in the Asian and Caucasian PopulationsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-10-21Full publication date if available
- Authors
-
Tejas Canchi, Sourav S. Patnaik, Hong N. Nguyen, E. Y. K. Ng, Sriram Narayanan, Satish C. Muluk, Victor De Oliveira, Ender A. FinolList of authors in order
- Landing page
-
https://doi.org/10.1115/1.4045268Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://pmc.ncbi.nlm.nih.gov/articles/PMC10782868/pdf/bio-19-1054_061003.pdfDirect OA link when available
- Concepts
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Abdominal aortic aneurysm, Medicine, Anatomy, Radiology, AneurysmTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2021: 1, 2020: 1Per-year citation counts (last 5 years)
- References (count)
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72Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.diameter-matched | 29 |
| abstract_inverted_index.patient-specific | 33 |
| abstract_inverted_index.diameter–height | 162 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 8 |
| citation_normalized_percentile.value | 0.66569269 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |