Unraveling aortic hemodynamics using fluid structure interaction: biomechanical insights into bicuspid aortic valve dynamics with multiple aortic lesions: Unraveling aortic hemodynamics using fluid structure...: V. Govindarajan et al.
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| Title: | Unraveling aortic hemodynamics using fluid structure interaction: biomechanical insights into bicuspid aortic valve dynamics with multiple aortic lesions: Unraveling aortic hemodynamics using fluid structure...: V. Govindarajan et al. |
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| Authors: | Govindarajan, Vijay1,2,3 (AUTHOR) Vijay.Govindarajan@uth.tmc.edu, Wanna, Charles1 (AUTHOR), Johnson, Nils P.1 (AUTHOR), Kolanjiyil, Arun V.4 (AUTHOR), Kim, Hyunggun5 (AUTHOR), Kitkungvan, Danai1 (AUTHOR), McPherson, David M.1 (AUTHOR), Grande-Allen, Jane6 (AUTHOR), Chandran, Krishnan B.1,7 (AUTHOR), Estrera, Antony1 (AUTHOR), Ramzy, Danny1 (AUTHOR), Prakash, Siddharth1 (AUTHOR) |
| Source: | Biomechanics & Modeling in Mechanobiology. Feb2025, Vol. 24 Issue 1, p17-27. 11p. |
| Subjects: | Mitral valve, Medical sciences, Congenital heart disease, Turner's syndrome, Aorta |
| Abstract: | Aortic lesions, exemplified by bicuspid aortic valves (BAVs), can complicate congenital heart defects, particularly in Turner syndrome patients. The combination of BAV, dilated ascending aorta, and an elongated aortic arch presents complex hemodynamics, requiring detailed analysis for tailored treatment strategies. While current clinical decision-making relies on imaging modalities offering limited biomechanical insights, integrating high-performance computing and fluid–structure interaction algorithms with patient data enables comprehensive evaluation of diseased anatomy and planned intervention. In this study, a patient-specific workflow was utilized to biomechanically assess a Turner syndrome patient's BAV, dilated ascending aorta, and elongated arch. Results showed significant improvements in valve function (effective orifice area, EOA increased approximately twofold) and reduction in valve stress (~ 1.8-fold) following virtual commissurotomy, leading to enhanced flow dynamics and decreased viscous dissipation (~ twofold) particularly in the ascending aorta. However, increased viscous dissipation in the distal transverse aortic arch offset its local reduction in the AAo post-intervention, emphasizing the elongated arch's role in aortic hemodynamics. Our findings highlight the importance of comprehensive biomechanical evaluation and integrating patient-specific modeling with conventional imaging techniques for improved disease assessment, risk stratification, and treatment planning, ultimately enhancing patient outcomes. [ABSTRACT FROM AUTHOR] |
| Copyright of Biomechanics & Modeling in Mechanobiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 183199881 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Unraveling aortic hemodynamics using fluid structure interaction: biomechanical insights into bicuspid aortic valve dynamics with multiple aortic lesions: Unraveling aortic hemodynamics using fluid structure...: V. Govindarajan et al. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Govindarajan%2C+Vijay%22">Govindarajan, Vijay</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> Vijay.Govindarajan@uth.tmc.edu</i><br /><searchLink fieldCode="AR" term="%22Wanna%2C+Charles%22">Wanna, Charles</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Johnson%2C+Nils+P%2E%22">Johnson, Nils P.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kolanjiyil%2C+Arun+V%2E%22">Kolanjiyil, Arun V.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Hyunggun%22">Kim, Hyunggun</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kitkungvan%2C+Danai%22">Kitkungvan, Danai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22McPherson%2C+David+M%2E%22">McPherson, David M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Grande-Allen%2C+Jane%22">Grande-Allen, Jane</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chandran%2C+Krishnan+B%2E%22">Chandran, Krishnan B.</searchLink><relatesTo>1,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Estrera%2C+Antony%22">Estrera, Antony</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ramzy%2C+Danny%22">Ramzy, Danny</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Prakash%2C+Siddharth%22">Prakash, Siddharth</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Biomechanics+%26+Modeling+in+Mechanobiology%22">Biomechanics & Modeling in Mechanobiology</searchLink>. Feb2025, Vol. 24 Issue 1, p17-27. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mitral+valve%22">Mitral valve</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+sciences%22">Medical sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Congenital+heart+disease%22">Congenital heart disease</searchLink><br /><searchLink fieldCode="DE" term="%22Turner's+syndrome%22">Turner's syndrome</searchLink><br /><searchLink fieldCode="DE" term="%22Aorta%22">Aorta</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Aortic lesions, exemplified by bicuspid aortic valves (BAVs), can complicate congenital heart defects, particularly in Turner syndrome patients. The combination of BAV, dilated ascending aorta, and an elongated aortic arch presents complex hemodynamics, requiring detailed analysis for tailored treatment strategies. While current clinical decision-making relies on imaging modalities offering limited biomechanical insights, integrating high-performance computing and fluid–structure interaction algorithms with patient data enables comprehensive evaluation of diseased anatomy and planned intervention. In this study, a patient-specific workflow was utilized to biomechanically assess a Turner syndrome patient's BAV, dilated ascending aorta, and elongated arch. Results showed significant improvements in valve function (effective orifice area, EOA increased approximately twofold) and reduction in valve stress (~ 1.8-fold) following virtual commissurotomy, leading to enhanced flow dynamics and decreased viscous dissipation (~ twofold) particularly in the ascending aorta. However, increased viscous dissipation in the distal transverse aortic arch offset its local reduction in the AAo post-intervention, emphasizing the elongated arch's role in aortic hemodynamics. Our findings highlight the importance of comprehensive biomechanical evaluation and integrating patient-specific modeling with conventional imaging techniques for improved disease assessment, risk stratification, and treatment planning, ultimately enhancing patient outcomes. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Biomechanics & Modeling in Mechanobiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10237-024-01892-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 17 Subjects: – SubjectFull: Mitral valve Type: general – SubjectFull: Medical sciences Type: general – SubjectFull: Congenital heart disease Type: general – SubjectFull: Turner's syndrome Type: general – SubjectFull: Aorta Type: general Titles: – TitleFull: Unraveling aortic hemodynamics using fluid structure interaction: biomechanical insights into bicuspid aortic valve dynamics with multiple aortic lesions: Unraveling aortic hemodynamics using fluid structure...: V. Govindarajan et al. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Govindarajan, Vijay – PersonEntity: Name: NameFull: Wanna, Charles – PersonEntity: Name: NameFull: Johnson, Nils P. – PersonEntity: Name: NameFull: Kolanjiyil, Arun V. – PersonEntity: Name: NameFull: Kim, Hyunggun – PersonEntity: Name: NameFull: Kitkungvan, Danai – PersonEntity: Name: NameFull: McPherson, David M. – PersonEntity: Name: NameFull: Grande-Allen, Jane – PersonEntity: Name: NameFull: Chandran, Krishnan B. – PersonEntity: Name: NameFull: Estrera, Antony – PersonEntity: Name: NameFull: Ramzy, Danny – PersonEntity: Name: NameFull: Prakash, Siddharth IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 16177959 Numbering: – Type: volume Value: 24 – Type: issue Value: 1 Titles: – TitleFull: Biomechanics & Modeling in Mechanobiology Type: main |
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