|
2
|
Evangelista Masip A, Galian-Gay L, Guala A, Lopez-Sainz A, Teixido-Turà G, Ruiz Muñoz A, Valente F, Gutierrez L, Fernandez-Galera R, Casas G, Panaro A, Marigliano A, Huguet M, González-Alujas T, Rodriguez-Palomares J. Unraveling Bicuspid Aortic Valve Enigmas by Multimodality Imaging: Clinical Implications. J Clin Med 2022; 11:456. [PMID: 35054153 PMCID: PMC8778671 DOI: 10.3390/jcm11020456] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/09/2022] [Accepted: 01/13/2022] [Indexed: 12/13/2022] Open
Abstract
Multimodality imaging is the basis of the diagnosis, follow-up, and surgical management of bicuspid aortic valve (BAV) patients. Transthoracic echocardiography (TTE) is used in our clinical routine practice as a first line imaging for BAV diagnosis, valvular phenotyping and function, measurement of thoracic aorta, exclusion of other aortic malformations, and for the assessment of complications such are infective endocarditis and aortic. Nevertheless, TTE is less useful if we want to assess accurately other aortic segments such as mid-distal ascending aorta, where computed tomography (CT) and magnetic resonance (CMR) could improve the precision of aorta size measurement by multiplanar reconstructions. A major advantage of CT is its superior spatial resolution, which affords a better definition of valve morphology and calcification, accuracy, and reproducibility of ascending aorta size, and allows for coronary artery assessment. Moreover, CMR offers the opportunity of being able to evaluate aortic functional properties and blood flow patterns. In this setting, new developed sequences such as 4D-flow may provide new parameters to predict events during follow up. The integration of all multimodality information facilitates a comprehensive evaluation of morphologic and dynamic features, stratification of the risk, and therapy guidance of this cohort of patients.
Collapse
Affiliation(s)
- Arturo Evangelista Masip
- Departament de Cardiologia, Hospital Vall d’Hebron.CIBERCV, Universitat Autonoma de Barcelona, 08035 Barcelona, Spain; (L.G.-G.); (A.G.); (A.L.-S.); (G.T.-T.); (A.R.M.); (F.V.); (L.G.); (R.F.-G.); (G.C.); (T.G.-A.); (J.R.-P.)
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain
- Teknon Heart Institute-Quiron Salud, 08022 Barcelona, Spain; (A.P.); (A.M.); (M.H.)
| | - Laura Galian-Gay
- Departament de Cardiologia, Hospital Vall d’Hebron.CIBERCV, Universitat Autonoma de Barcelona, 08035 Barcelona, Spain; (L.G.-G.); (A.G.); (A.L.-S.); (G.T.-T.); (A.R.M.); (F.V.); (L.G.); (R.F.-G.); (G.C.); (T.G.-A.); (J.R.-P.)
| | - Andrea Guala
- Departament de Cardiologia, Hospital Vall d’Hebron.CIBERCV, Universitat Autonoma de Barcelona, 08035 Barcelona, Spain; (L.G.-G.); (A.G.); (A.L.-S.); (G.T.-T.); (A.R.M.); (F.V.); (L.G.); (R.F.-G.); (G.C.); (T.G.-A.); (J.R.-P.)
| | - Angela Lopez-Sainz
- Departament de Cardiologia, Hospital Vall d’Hebron.CIBERCV, Universitat Autonoma de Barcelona, 08035 Barcelona, Spain; (L.G.-G.); (A.G.); (A.L.-S.); (G.T.-T.); (A.R.M.); (F.V.); (L.G.); (R.F.-G.); (G.C.); (T.G.-A.); (J.R.-P.)
| | - Gisela Teixido-Turà
- Departament de Cardiologia, Hospital Vall d’Hebron.CIBERCV, Universitat Autonoma de Barcelona, 08035 Barcelona, Spain; (L.G.-G.); (A.G.); (A.L.-S.); (G.T.-T.); (A.R.M.); (F.V.); (L.G.); (R.F.-G.); (G.C.); (T.G.-A.); (J.R.-P.)
| | - Aroa Ruiz Muñoz
- Departament de Cardiologia, Hospital Vall d’Hebron.CIBERCV, Universitat Autonoma de Barcelona, 08035 Barcelona, Spain; (L.G.-G.); (A.G.); (A.L.-S.); (G.T.-T.); (A.R.M.); (F.V.); (L.G.); (R.F.-G.); (G.C.); (T.G.-A.); (J.R.-P.)
| | - Filipa Valente
- Departament de Cardiologia, Hospital Vall d’Hebron.CIBERCV, Universitat Autonoma de Barcelona, 08035 Barcelona, Spain; (L.G.-G.); (A.G.); (A.L.-S.); (G.T.-T.); (A.R.M.); (F.V.); (L.G.); (R.F.-G.); (G.C.); (T.G.-A.); (J.R.-P.)
| | - Laura Gutierrez
- Departament de Cardiologia, Hospital Vall d’Hebron.CIBERCV, Universitat Autonoma de Barcelona, 08035 Barcelona, Spain; (L.G.-G.); (A.G.); (A.L.-S.); (G.T.-T.); (A.R.M.); (F.V.); (L.G.); (R.F.-G.); (G.C.); (T.G.-A.); (J.R.-P.)
| | - Ruben Fernandez-Galera
- Departament de Cardiologia, Hospital Vall d’Hebron.CIBERCV, Universitat Autonoma de Barcelona, 08035 Barcelona, Spain; (L.G.-G.); (A.G.); (A.L.-S.); (G.T.-T.); (A.R.M.); (F.V.); (L.G.); (R.F.-G.); (G.C.); (T.G.-A.); (J.R.-P.)
| | - Guillem Casas
- Departament de Cardiologia, Hospital Vall d’Hebron.CIBERCV, Universitat Autonoma de Barcelona, 08035 Barcelona, Spain; (L.G.-G.); (A.G.); (A.L.-S.); (G.T.-T.); (A.R.M.); (F.V.); (L.G.); (R.F.-G.); (G.C.); (T.G.-A.); (J.R.-P.)
| | - Alejandro Panaro
- Teknon Heart Institute-Quiron Salud, 08022 Barcelona, Spain; (A.P.); (A.M.); (M.H.)
| | - Alba Marigliano
- Teknon Heart Institute-Quiron Salud, 08022 Barcelona, Spain; (A.P.); (A.M.); (M.H.)
| | - Marina Huguet
- Teknon Heart Institute-Quiron Salud, 08022 Barcelona, Spain; (A.P.); (A.M.); (M.H.)
| | - Teresa González-Alujas
- Departament de Cardiologia, Hospital Vall d’Hebron.CIBERCV, Universitat Autonoma de Barcelona, 08035 Barcelona, Spain; (L.G.-G.); (A.G.); (A.L.-S.); (G.T.-T.); (A.R.M.); (F.V.); (L.G.); (R.F.-G.); (G.C.); (T.G.-A.); (J.R.-P.)
| | - Jose Rodriguez-Palomares
- Departament de Cardiologia, Hospital Vall d’Hebron.CIBERCV, Universitat Autonoma de Barcelona, 08035 Barcelona, Spain; (L.G.-G.); (A.G.); (A.L.-S.); (G.T.-T.); (A.R.M.); (F.V.); (L.G.); (R.F.-G.); (G.C.); (T.G.-A.); (J.R.-P.)
| |
Collapse
|
|
3
|
Pons R, Guala A, Rodríguez-Palomares JF, Cajas JC, Dux-Santoy L, Teixidó-Tura G, Molins JJ, Vázquez M, Evangelista A, Martorell J. Fluid-structure interaction simulations outperform computational fluid dynamics in the description of thoracic aorta haemodynamics and in the differentiation of progressive dilation in Marfan syndrome patients. ROYAL SOCIETY OPEN SCIENCE 2020; 7:191752. [PMID: 32257331 PMCID: PMC7062053 DOI: 10.1098/rsos.191752] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 01/09/2020] [Indexed: 06/02/2023]
Abstract
Abnormal fluid dynamics at the ascending aorta may be at the origin of aortic aneurysms. This study was aimed at comparing the performance of computational fluid dynamics (CFD) and fluid-structure interaction (FSI) simulations against four-dimensional (4D) flow magnetic resonance imaging (MRI) data; and to assess the capacity of advanced fluid dynamics markers to stratify aneurysm progression risk. Eight Marfan syndrome (MFS) patients, four with stable and four with dilating aneurysms of the proximal aorta, and four healthy controls were studied. FSI and CFD simulations were performed with MRI-derived geometry, inlet velocity field and Young's modulus. Flow displacement, jet angle and maximum velocity evaluated from FSI and CFD simulations were compared to 4D flow MRI data. A dimensionless parameter, the shear stress ratio (SSR), was evaluated from FSI and CFD simulations and assessed as potential correlate of aneurysm progression. FSI simulations successfully matched MRI data regarding descending to ascending aorta flow rates (R 2 = 0.92) and pulse wave velocity (R 2 = 0.99). Compared to CFD, FSI simulations showed significantly lower percentage errors in ascending and descending aorta in flow displacement (-46% ascending, -41% descending), jet angle (-28% ascending, -50% descending) and maximum velocity (-37% ascending, -34% descending) with respect to 4D flow MRI. FSI- but not CFD-derived SSR differentiated between stable and dilating MFS patients. Fluid dynamic simulations of the thoracic aorta require fluid-solid interaction to properly reproduce complex haemodynamics. FSI- but not CFD-derived SSR could help stratifying MFS patients.
Collapse
Affiliation(s)
- R. Pons
- Department of Chemical Engineering and Material Sciences, IQS School of Engineering, Universitat Ramon Llull, Via Augusta 390, 08017 Barcelona, Spain
| | - A. Guala
- Hospital Universitari Vall d'Hebron, Department of Cardiology, CIBER-CV, Vall d'Hebron Institut de recerca (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain
| | - J. F. Rodríguez-Palomares
- Hospital Universitari Vall d'Hebron, Department of Cardiology, CIBER-CV, Vall d'Hebron Institut de recerca (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain
| | - J. C. Cajas
- Barcelona Supercomputing Center (BSC-CNS), Department of Computer Applications in Science and Engineering, C/Jordi Girona 29, 08034 Barcelona, Spain
- Escuela Nacional de Estudios Superiors, Unidad Mérida, Universidad Nacional Autónoma de México, Carretera Mérida-Tetiz, Km 4, Ucú, Yucatán, 97357, México
| | - L. Dux-Santoy
- Hospital Universitari Vall d'Hebron, Department of Cardiology, CIBER-CV, Vall d'Hebron Institut de recerca (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain
| | - G. Teixidó-Tura
- Hospital Universitari Vall d'Hebron, Department of Cardiology, CIBER-CV, Vall d'Hebron Institut de recerca (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain
| | - J. J. Molins
- Department of Chemical Engineering and Material Sciences, IQS School of Engineering, Universitat Ramon Llull, Via Augusta 390, 08017 Barcelona, Spain
| | - M. Vázquez
- Barcelona Supercomputing Center (BSC-CNS), Department of Computer Applications in Science and Engineering, C/Jordi Girona 29, 08034 Barcelona, Spain
- ELEM Biotech, Calle Rossello 36, 08029 Barcelona, Spain
| | - A. Evangelista
- Hospital Universitari Vall d'Hebron, Department of Cardiology, CIBER-CV, Vall d'Hebron Institut de recerca (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain
| | - J. Martorell
- Department of Chemical Engineering and Material Sciences, IQS School of Engineering, Universitat Ramon Llull, Via Augusta 390, 08017 Barcelona, Spain
| |
Collapse
|