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Lo SCY, McCullough JWS, Xue X, Coveney PV. Uncertainty quantification of the impact of peripheral arterial disease on abdominal aortic aneurysms in blood flow simulations. J R Soc Interface 2024; 21:20230656. [PMID: 38593843 PMCID: PMC11003782 DOI: 10.1098/rsif.2023.0656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 03/05/2024] [Indexed: 04/11/2024] Open
Abstract
Peripheral arterial disease (PAD) and abdominal aortic aneurysms (AAAs) often coexist and pose significant risks of mortality, yet their mutual interactions remain largely unexplored. Here, we introduce a fluid mechanics model designed to simulate the haemodynamic impact of PAD on AAA-associated risk factors. Our focus lies on quantifying the uncertainty inherent in controlling the flow rates within PAD-affected vessels and predicting AAA risk factors derived from wall shear stress. We perform a sensitivity analysis on nine critical model parameters through simulations of three-dimensional blood flow within a comprehensive arterial geometry. Our results show effective control of the flow rates using two-element Windkessel models, although specific outlets need attention. Quantities of interest like endothelial cell activation potential (ECAP) and relative residence time are instructive for identifying high-risk regions, with ECAP showing greater reliability and adaptability. Our analysis reveals that the uncertainty in the quantities of interest is 187% of that of the input parameters. Notably, parameters governing the amplitude and frequency of the inlet velocity exert the strongest influence on the risk factors' variability and warrant precise determination. This study forms the foundation for patient-specific simulations involving PAD and AAAs which should ultimately improve patient outcomes and reduce associated mortality rates.
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Affiliation(s)
- Sharp C. Y. Lo
- Centre for Computational Science, University College London, London, UK
| | | | - Xiao Xue
- Centre for Computational Science, University College London, London, UK
| | - Peter V. Coveney
- Centre for Computational Science, University College London, London, UK
- Advanced Research Computing Centre, University College London, London, UK
- Informatics Institute, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands
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Zhao TY, Johnson EMI, Elisha G, Halder S, Smith BC, Allen BD, Markl M, Patankar NA. Blood-wall fluttering instability as a physiomarker of the progression of thoracic aortic aneurysms. Nat Biomed Eng 2023; 7:1614-1626. [PMID: 38082182 DOI: 10.1038/s41551-023-01130-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 10/16/2023] [Indexed: 12/20/2023]
Abstract
The diagnosis of aneurysms is informed by empirically tracking their size and growth rate. Here, by analysing the growth of aortic aneurysms from first principles via linear stability analysis of flow through an elastic blood vessel, we show that abnormal aortic dilatation is associated with a transition from stable flow to unstable aortic fluttering. This transition to instability can be described by the critical threshold for a dimensionless number that depends on blood pressure, the size of the aorta, and the shear stress and stiffness of the aortic wall. By analysing data from four-dimensional flow magnetic resonance imaging for 117 patients who had undergone cardiothoracic imaging and for 100 healthy volunteers, we show that the dimensionless number is a physiomarker for the growth of thoracic ascending aortic aneurysms and that it can be used to accurately discriminate abnormal versus natural growth. Further characterization of the transition to blood-wall fluttering instability may aid the understanding of the mechanisms underlying aneurysm progression in patients.
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Affiliation(s)
- Tom Y Zhao
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA.
| | - Ethan M I Johnson
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA
| | - Guy Elisha
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
| | - Sourav Halder
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
| | - Ben C Smith
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Bradley D Allen
- Department of Radiology, Northwestern University, Chicago, IL, USA
| | - Michael Markl
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA
- Department of Radiology, Northwestern University, Chicago, IL, USA
| | - Neelesh A Patankar
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA.
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Norimatsu T, Iguchi N, Isobe M. Dynamic aortic changes during the cardiac cycle in patients with aortic valve disease analyzed by computed tomography combined with PhyZiodynamics software. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2023; 39:2073-2082. [PMID: 37453944 DOI: 10.1007/s10554-023-02911-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 06/27/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Endovascular therapy for the ascending aorta is expected in the future, but the dynamic changes in the ascending aorta are unclear. PURPOSE The purpose of the present study was to evaluate dynamic changes in the aortic cross-sectional area and examine related determinants. METHODS The subjects included 75 patients (aortic regurgitation [AR] in 18 patients, aortic stenosis [AS] in 46 patients, and 11 controls) who underwent dynamic computed tomography (CT) prior to cardiac treatment. According to the centerline method, the cross-sectional areas of the ascending and descending aortas at the same level were analyzed. The rate of change from the minimum value to the maximum value in one heartbeat and peak rate of change in cross-sectional area (peak area change) were measured. RESULTS The rates of change of the ascending and descending aortas were 4.4% and 6.4% (P < 0.05) and the peak area change was 0.3 mm2/msec vs. 0.2 mm2/msec (P < 0.05), respectively. In both the ascending and descending aortas, the rate of change and the peak area change were significantly greater in the AR group than in the AS and control groups. Results of the multiple regression analysis showed that greater stroke volumes (SVs) were associated with greater change in the ascending aorta and a faster momentary expansion rate. Furthermore, it was observed that the momentary expansion rate declined with age. CONCLUSION The ascending aortic diameter changes significantly in one heartbeat and differs depending on AR, age, and SV. TRIAL REGISTRATION NUMBER 17 - 006. DATE OF REGISTRATION May 29, 2017 Retrospectively registered.
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Affiliation(s)
- Togo Norimatsu
- Department of Vascular Surgery, Sakakibara Heart Institute, 3-16-1 Asahi-cho, Fuchu-shi, Tokyo, 183-0003, Japan.
| | - Nobuo Iguchi
- Department of Cardiology, Sakakibara Heart Institute, Tokyo, Japan
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Yun Z, Yao J, Wang L, Tang X, Feng Y. The design and evaluation of the outflow structures of an interventional microaxial blood pump. Front Physiol 2023; 14:1169905. [PMID: 37250127 PMCID: PMC10213901 DOI: 10.3389/fphys.2023.1169905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 05/04/2023] [Indexed: 05/31/2023] Open
Abstract
Blood pump design efforts are focused on enhancing hydraulic effectiveness and minimizing shear stress. Unlike conventional blood pumps, interventional microaxial blood pumps have a unique outflow structure due to minimally invasive technology. The outflow structure, composed of the diffuser and cage bridges, is crucial in minimizing the pump size to provide adequate hemodynamic support. This study proposed four outflow structures of an interventional microaxial blood pump depending on whether the diffuser with or without blades and cage bridges were straight or curved. The outflow flow structure's effect on the blood pump's hydraulic performance and shear stress distribution was evaluated by computational fluid dynamics and hydraulic experiments. The results showed that all four outflow structures could achieve the pressure and flow requirements specified at the design point but with significant differences in shear stress distribution. Among them, the outflow structure with curved bridges would make the blood dispersed more evenly when flowing out of the pump, which could effectively reduce the shear stress at the cage bridges. The outflow structure with blades would aggravate the secondary flow at the leading edge of the impeller, increasing the risk of flow stagnation. The combination of curved bridges and the bladeless diffuser had a relatively better shear stress distribution, with the proportion of fluid exposed to low scalar shear stress (<50 Pa) and high scalar shear stress (>150 Pa) in the blood pump being 97.92% and 0.26%, respectively. It could be concluded that the outflow structure with curved bridges and bladeless diffuser exhibited relatively better shear stress distribution and a lower hemolysis index of 0.00648%, which could support continued research on optimizing the microaxial blood pumps.
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Affiliation(s)
- Zhong Yun
- *Correspondence: Zhong Yun, ; Jinfu Yao,
| | - Jinfu Yao
- *Correspondence: Zhong Yun, ; Jinfu Yao,
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Kobus K, Bohmann B, Wilbring M, Kapalla M, Eckstein HH, Bassermann F, Stratmann JA, Wahida A, Reeps C, Schwaiger BJ, Busch A, von Rose AB. Cancer, cancer treatment and aneurysmatic ascending aorta growth within a retrospective single center study. VASA 2023; 52:38-45. [PMID: 36373268 DOI: 10.1024/0301-1526/a001038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Multi-morbidity poses a substantial challenge for health care in an aging population. Recent studies did not provide evidence for general side effects of anti-cancer therapy regarding the growth rate of coincident abdominal aortic aneurysms, although it was suggested that specific therapeutic substances might accelerate growth. Aneurysm pathology, however, differs with respect to localization. Hence, we present the first ever analysis on the association of cancer and cancer therapy with growth alteration of aneurysms of the ascending aorta (AscAA). Patients and methods: A retrospective single-center identification of AscAA+cancer patients was performed in the institutional picture archiving and communication system (PACS). Included were all patients with ≥2 CT angiograms over ≥6 months and additional malignancy. Clinical data and aneurysm diameters were retrieved and analyzed for an association of cancer (stratified by tumor entity) or cancer therapy (stratified by several classes of chemotherapeutic agents and radiation therapy) with annual growth rate, respectively. Statistics included t-test, Wilcoxon test, and a linear regression model accounting for initial AscAA diameter and type of treatment. Results: From 2003 to 2021, 151 patients (median age 70 years; 85% male) with AscAA and coincident 163 malignancies were identified. Prostate (37%) and hematologic cancer (17%) were most frequent. One-hundred-eleven patients (74%) received chemotherapy and 75 patients (50%) had radiation. After exclusion of six patients with an initial AscAA diameter >55 mm, the average annual AscAA growth rate was 0.18±0.64 mm/year, with only 12 patients experiencing a growth rate >1mm/year. Neither tumor entity nor radiation or chemotherapy - alone or in combination - were significantly associated with an alteration of the annual AscAA growth rate. Likewise, a subanalysis for singular chemotherapeutic agents did not reveal a specific association with AscAA growth alteration. Conclusions: Growth rates of AscAA are low in this cohort with coincident malignancy. Cancer and/or chemotherapy or radiation are not associated with an alteration of the annual growth rate. Additional control examinations seem unnecessary.
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Affiliation(s)
- Kathrin Kobus
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University Munich, Germany
| | - Bianca Bohmann
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University Munich, Germany
| | - Manuel Wilbring
- Department of Cardiac Surgery, University Heart Center Dresden, Germany
| | - Marvin Kapalla
- Division of Vascular and Endovascular Surgery, Department for Visceral-, Thoracic and Vascular Surgery, Medical Faculty Carl Gustav Carus and University Hospital, Technische Universität Dresden, Germany
| | - Hans-Henning Eckstein
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University Munich, Germany
| | - Florian Bassermann
- III. Medical Department for Hematology and Oncology, Klinikum rechts der Isar, Technical University Munich, Germany
| | - Jan A Stratmann
- Department of Hematology and Oncology, Johann Wolfgang Goethe University of Frankfurt, Frankfurt am Main, Germany
| | - Adam Wahida
- III. Medical Department for Hematology and Oncology, Klinikum rechts der Isar, Technical University Munich, Germany
| | - Christian Reeps
- Division of Vascular and Endovascular Surgery, Department for Visceral-, Thoracic and Vascular Surgery, Medical Faculty Carl Gustav Carus and University Hospital, Technische Universität Dresden, Germany
| | - Benedikt J Schwaiger
- Department of Radiology and Department of Neuroradiology, School of Medicine, Technical University of Munich, Germany
| | - Albert Busch
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University Munich, Germany.,Division of Vascular and Endovascular Surgery, Department for Visceral-, Thoracic and Vascular Surgery, Medical Faculty Carl Gustav Carus and University Hospital, Technische Universität Dresden, Germany
| | - Aaron Becker von Rose
- III. Medical Department for Hematology and Oncology, Klinikum rechts der Isar, Technical University Munich, Germany
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Zhu W, Wang Y, Chen Y, Liu J, Zhou C, Shi Q, Huang S, Yang C, Li T, Xiong B. Dynamic Changes in the Aorta During the Cardiac Cycle Analyzed by ECG-Gated Computed Tomography. Front Cardiovasc Med 2022; 9:793722. [PMID: 35665265 PMCID: PMC9160308 DOI: 10.3389/fcvm.2022.793722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 04/19/2022] [Indexed: 11/28/2022] Open
Abstract
Background To characterize the difference in aortic dimensions during the cardiac cycle with electrocardiogram (ECG)-gated computed tomography angiography (CTA) and to determine whether other parameters in comparison to diameter could potentially provide a more accurate size reference for stent selection at the aortic arch and the proximal thoracic descending aorta. Methods The CTA imaging of 90 patients during the cardiac cycle was reviewed. Three anatomic locations were selected for analysis (level A: 1 cm proximal to the innominate artery; level B: 1 cm distal to the left common carotid artery; and level C: 1 cm distal to the left subclavian artery). We measured the maximum diameter, the minimum diameter, the lumen area, the lumen perimeter, and the diameter derived from the lumen area, and the changes of each parameter at each level during the cardiac cycle were compared. Results The mean age was 60.9 ± 12.4 years (range, 16–78 years). There was a significant difference in the aortic dimensions during the cardiac cycle (p < 0.001). The diameter derived from the lumen area at all three levels was changed least over time when compared to the area, perimeter, and the maximum aortic diameter (all p < 0.01). Conclusion The aortic dimensional differences during the cardiac cycle are significant. The aortic diameter derived from the lumen area over other parameters may provide a better evaluation for selecting the size of the stent at the aortic arch and the proximal thoracic descending aorta. A prospective study comparing these different measurement parameters regarding the outcomes is still needed to evaluate the clinical implications.
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Affiliation(s)
- Wenying Zhu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yingliang Wang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yang Chen
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, China
| | - Jiacheng Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, China
| | - Chen Zhou
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, China
| | - Qin Shi
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, China
| | - Songjiang Huang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, China
| | - Chongtu Yang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, China
| | - Tongqiang Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, China
| | - Bin Xiong
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, China
- *Correspondence: Bin Xiong
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