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Lo Presti AM, Monteleone A, Musotto G, Tamburini A, Napoli E, Burriesci G. Modelling of thrombus formation, growth and embolisation in the left atrial appendage under atrial fibrillation. Comput Biol Med 2025; 191:110134. [PMID: 40198982 DOI: 10.1016/j.compbiomed.2025.110134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2024] [Revised: 03/25/2025] [Accepted: 04/02/2025] [Indexed: 04/10/2025]
Abstract
Left atrial appendage (LAA) thrombosis is a frequent and serious complication associated with atrial fibrillation (AF), which significantly increases the risk of ischemic events. The presence of a thrombus within the LAA can disrupt normal blood flow and eventually embolise, leading to impaired circulation and severe complications. An innovative fluid-structure interaction model, based on the smoothed particle hydrodynamics method, is used to simulate the formation and behaviour of thrombi in a patient-specific LAA morphology under AF condition. The clotting process is modelled by tracking the concentrations of key components involved in the coagulation cascade. The approach transforms fluid particles into a solid phase by applying internal spring forces when specific biochemical and haemodynamic conditions occur. The findings shed light on the haemodynamic and biochemical mechanisms driving thrombus formation and migration within the LAA, highlighting regions of clot growth and subsequent embolisation. Thrombus formation begins at the LAA tip, gradually expanding through lobes and trabeculae, and ultimately progressing internally to high-recirculation regions, increasing the risk of embolisation and of potential clinical complications. By accurately predicting thrombus formation, growth and fragmentation, this study offers valuable insight into the mechanisms associated with the thromboembolic risk in AF. These are crucial for developing targeted therapeutic strategies to minimise the risk of thromboembolic events in patient with AF.
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Affiliation(s)
- Anna Maria Lo Presti
- University of Palermo, Department of Engineering, Palermo, Italy; Ri.MED Foundation, Palermo, Italy
| | | | | | | | - Enrico Napoli
- University of Palermo, Department of Engineering, Palermo, Italy
| | - Gaetano Burriesci
- University of Palermo, Department of Engineering, Palermo, Italy; Ri.MED Foundation, Palermo, Italy; UCL Mechanical Engineering, University College London, London, UK.
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Wu Y, Yan Y, Zhang J, Wang F, Cai H, Xiong Z, Zhou T. Modeling and Visual Simulation of Bifurcation Aneurysms Using Smoothed Particle Hydrodynamics and Murray's Law. Bioengineering (Basel) 2024; 11:1200. [PMID: 39768018 PMCID: PMC11673547 DOI: 10.3390/bioengineering11121200] [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: 11/09/2024] [Revised: 11/22/2024] [Accepted: 11/25/2024] [Indexed: 01/11/2025] Open
Abstract
Aneurysm modeling and simulation play an important role in many specialist areas in the field of medicine such as surgical education and training, clinical diagnosis and prediction, and treatment planning. Despite the considerable effort invested in developing computational fluid dynamics so far, visual simulation of blood flow dynamics in aneurysms, especially the under-explored aspect of bifurcation aneurysms, remains a challenging issue. To alleviate the situation, this study introduces a novel Smoothed Particle Hydrodynamics (SPH)-based method to model and visually simulate blood flow, bifurcation progression, and fluid-structure interaction. Firstly, this research consider blood in a vessel as a kind of incompressible fluid and model its flow dynamics using SPH; and secondly, to simulate bifurcation aneurysms at different progression stages including formation, growth, and rupture, this research models fluid particles by using aneurysm growth mechanism simulation in combination with vascular geometry simulation. The geometry incorporates an adjustable bifurcation structure based on Murray's Law, and considers the interaction between blood flow, tissue fluid, and arterial wall resistance. Finally, this research discretizes the computation of wall shear stress using SPH and visualizes it in a novel particle-based representation. To examine the feasibility and validity of the proposed method, this research designed a series of numerical experiments and validation scenarios under varying test conditions and parameters. The experimental results based on numerical simulations demonstrate the effectiveness and efficiency of proposed method in modeling and simulating bifurcation aneurysm formation and growth. In addition, the results also indicate the feasibility of the proposed wall shear stress simulation and visualization scheme, which enriches the means of blood analysis.
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Affiliation(s)
- Yong Wu
- School of Economics, Guangdong University of Technology, Guangzhou 510520, China;
- Guangxi Key Laboratory of Culture and Tourism Smart Technology, School of Tourism Data, Guilin Tourism University, Guilin 541006, China
| | - Yongjie Yan
- Guangdong-Hong Kong-Macao Universities Joint Laboratory for Precision Prevention and Research of Eye Diseases, College of Mathematics and Computer Science, Shantou University, Shantou 515063, China; (Y.Y.); (J.Z.); (H.C.); (Z.X.)
| | - Jiaxin Zhang
- Guangdong-Hong Kong-Macao Universities Joint Laboratory for Precision Prevention and Research of Eye Diseases, College of Mathematics and Computer Science, Shantou University, Shantou 515063, China; (Y.Y.); (J.Z.); (H.C.); (Z.X.)
| | - Fei Wang
- Guangdong-Hong Kong-Macao Universities Joint Laboratory for Precision Prevention and Research of Eye Diseases, College of Mathematics and Computer Science, Shantou University, Shantou 515063, China; (Y.Y.); (J.Z.); (H.C.); (Z.X.)
| | - Hao Cai
- Guangdong-Hong Kong-Macao Universities Joint Laboratory for Precision Prevention and Research of Eye Diseases, College of Mathematics and Computer Science, Shantou University, Shantou 515063, China; (Y.Y.); (J.Z.); (H.C.); (Z.X.)
| | - Zhi Xiong
- Guangdong-Hong Kong-Macao Universities Joint Laboratory for Precision Prevention and Research of Eye Diseases, College of Mathematics and Computer Science, Shantou University, Shantou 515063, China; (Y.Y.); (J.Z.); (H.C.); (Z.X.)
| | - Teng Zhou
- University of Electronic Science and Technology of China, Chengdu 611731, China;
- The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 100872, China
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Monteleone A, Viola A, Napoli E, Burriesci G. Modelling of thrombus formation using smoothed particle hydrodynamics method. PLoS One 2023; 18:e0281424. [PMID: 36745608 PMCID: PMC9901800 DOI: 10.1371/journal.pone.0281424] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 01/23/2023] [Indexed: 02/07/2023] Open
Abstract
In this paper a novel model, based on the smoothed particle hydrodynamics (SPH) method, is proposed to simulate thrombus formation. This describes the main phases of the coagulative cascade through the balance of four biochemical species and three type of platelets. SPH particles can switch from fluid to solid phase when specific biochemical and physical conditions are satisfied. The interaction between blood and the forming blood clot is easily handled by an innovative monolithic FSI approach. Fluid-solid coupling is modelled by introducing elastic binds between solid particles, without requiring detention and management of the interface between the two media. The proposed model is able to realistically reproduce the thromboembolic process, as confirmed by the comparison of numerical results with experimental data available in the literature.
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Affiliation(s)
| | - Alessia Viola
- Ri.MED Foundation, Palermo, Italy
- Engineering Department, University of Palermo, Palermo, Italy
| | - Enrico Napoli
- Engineering Department, University of Palermo, Palermo, Italy
| | - Gaetano Burriesci
- Ri.MED Foundation, Palermo, Italy
- UCL Mechanical Engineering, University College London, London, United Kingdom
- * E-mail:
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Xu F, Wang J, Yang Y, Wang L, Dai Z, Han R. On methodology and application of smoothed particle hydrodynamics in fluid, solid and biomechanics. ACTA MECHANICA SINICA = LI XUE XUE BAO 2023; 39:722185. [PMID: 36776492 PMCID: PMC9903288 DOI: 10.1007/s10409-022-22185-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 11/10/2022] [Indexed: 06/04/2023]
Abstract
Smoothed particle hydrodynamics (SPH), as one of the earliest meshfree methods, has broad prospects in modeling a wide range of problems in engineering and science, including extremely large deformation problems such as explosion and high velocity impact. This paper aims to provide a comprehensive overview on the recent advances of SPH method in the fields of fluid, solid, and biomechanics. First, the theory of SPH is described, and improved algorithms of SPH with high accuracy are summarized, such as the finite particle method (FPM). Techniques used in SPH method for simulating fluid, solid and biomechanics problems are discussed. The δ-SPH method and Godunov SPH (GSPH) based on the Riemann model are described for handling instability issues in fluid dynamics. Next, the interface contact algorithm for fluid-structure interaction is also discussed. The common algorithms for improving the tensile instability and the framework of total Lagrangian SPH are examined for challenging tasks in solid mechanics. In terms of biomechanics, the governing equations and the coupling forces based on SPH method are exemplified. Then, various typical engineering applications and recent advances are elaborated. The application of fluid mainly depicts the interaction between fluid and rigid body as well as elastomer, while some complicated fluid-structure interaction ocean engineering problems are also presented. In the aspect of solid dynamics, galaxy, geotechnical mechanics, explosion and impact, and additive manufacturing are summarized. Furthermore, the recent advancements of SPH method in biomechanics, such as hemodynamically and gut health, are discussed in general. In addition, to overcome the limitations of computational efficiency and computational scale, the multiscale adaptive resolution, the parallel algorithm and the automated mesh generation are addressed. The development of SPH software in China and abroad is also summarized. Finally, the challenging task of SPH method in the future is summarized. In future research work, the establishment of multi-scale coupled SPH model and deep learning technology in solid and biodynamics will be the focus of expanding the engineering applications of SPH methods.
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Affiliation(s)
- Fei Xu
- School of Aeronautics, Northwestern Polytechnical University, Xi’an, 710072 China
- Institute for Computational Mechanics and Its Applications, Northwestern Polytechnical University, Xi’an, 710072 China
| | - Jiayi Wang
- School of Aeronautics, Northwestern Polytechnical University, Xi’an, 710072 China
| | - Yang Yang
- School of Aeronautics, Northwestern Polytechnical University, Xi’an, 710072 China
- Institute for Computational Mechanics and Its Applications, Northwestern Polytechnical University, Xi’an, 710072 China
| | - Lu Wang
- School of Architecture and Engineering, Chang’an University, Xi’an, 710064 China
| | - Zhen Dai
- School of Aeronautics, Northwestern Polytechnical University, Xi’an, 710072 China
| | - Ruiqi Han
- School of Aeronautics, Northwestern Polytechnical University, Xi’an, 710072 China
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Huang B, Tan G, Dou H, Cui Z, Song Y, Zhou T. Mutual gain adaptive network for segmenting brain stroke lesions. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2022.109568] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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