Biomechanics and Modeling in Mechanobiology最新文献

{"title":"Effect of muscle atrophy on fracture healing: insights from a tibial musculoskeletal-finite element model","authors":"Qianjun Ding,&nbsp;Lunjian Li,&nbsp;Lihai Zhang","doi":"10.1007/s10237-026-02101-6","DOIUrl":"10.1007/s10237-026-02101-6","url":null,"abstract":"<div><p>Patients with tibial fractures often suffer from muscle atrophy due to aging and postoperative immobility. However, much less is known about how atrophic muscle conditions interact with the microenvironment and influence fracture healing outcomes. To this end, this study developed an atrophy-adjusted tibial fracture musculoskeletal model to simulate physiological loadings on the fractured tibia associated with partial weight-bearing (PWB) walking rehabilitation, incorporating various degrees of muscle atrophy and clinically observed muscle deformation at fracture callus. An anatomically muscle-informed tibial fracture healing model, integrating muscle load distributions onto the insertion surface of the bone geometry, was then used to predict dynamic mesenchymal stem cell differentiations and deviatoric strains during gait. The effects of PWB% and rehabilitation walking speed on healing outcomes in patients with various levels of muscle atrophy were systematically evaluated. The results show that the muscle loadings and knee contact forces substantially decline with the increased level of muscle atrophy. Directly using musculoskeletal simulations without accounting for patient-specific muscle atrophy could overstate temporal fluctuations of healing trajectories, leading to overestimation in the risk of fracture non-union and unsuccessful angiogenesis. Besides, the tolerance of PWB% level and rehabilitation walking speed varies according to different levels of muscle atrophy. Our results can recommend PWB walking protocols to enhance endochondral ossification, while controlling the risk of vessel rupture. The study highlights the impact of muscle atrophy on the early healing process, aiming to assist physiotherapists and orthopedic surgeons in prescribing personalized rehabilitation protocols based on patient-specific muscle conditions.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10237-026-02101-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148395403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A multi-fidelity poroelastic finite element and machine learning framework for characterizing respiratory mechanics in porcine lungs","authors":"Edwin E. Aigbokhan,&nbsp;Olusola A. Olabanjo,&nbsp;Emmanuel A. Akor,&nbsp;David W. Kaczka,&nbsp;Mingchao Cai","doi":"10.1007/s10237-026-02100-7","DOIUrl":"10.1007/s10237-026-02100-7","url":null,"abstract":"<div><p>Accurate and rapid characterization of lung mechanics remains a central challenge in respiratory disease management. Physics-informed poroelastic finite-element (FE) models resolve detailed tissue–airflow interactions but are computationally prohibitive for real-time or large-scale clinical applications, while lumped-parameter models sacrifice mechanistic fidelity for efficiency. In this work, we present a porcine-specific, multi-fidelity computational framework that integrates poroelastic FE modeling with machine learning to enable rapid, uncertainty-aware estimation of respiratory compliance (<span>({ C}_{textrm{rs}})</span>) and resistance (<span>({ R}_{textrm{rs}})</span>). High- and low-fidelity simulations are generated from CT-derived porcine lung geometries by sampling a physiologically relevant parameter space, and the resulting pressure–volume dynamics are used in an inverse modeling procedure to infer global respiratory mechanics. A key result is that multi-fidelity Gaussian process (MF-GP) surrogates achieve accurate predictions of <span>({ C}_{textrm{rs}})</span> and <span>({ R}_{textrm{rs}})</span> with errors below 5% relative to high-fidelity simulations, while providing computational speedups of over five orders of magnitude. In contrast, neural network (NN) surrogates exhibit relatively poor generalization in the data-scarce regime considered, highlighting the importance of model selection for scientific machine learning under limited high-fidelity data availability. Beyond predictive performance, global sensitivity analysis reveals a clear mechanistic separation in parameter influence: compliance is primarily governed by elastic stiffness and chest-wall coupling, whereas resistance is dominated by permeability. The weak interaction effects observed support an approximately additive response structure, enabling robust parameter identifiability and reduced-order representations of the inverse problem. The framework is validated against independent ventilator measurements from porcine lungs, showing strong agreement within clinically observed ranges. Overall, this study provides new insight into the structure of the inverse problem in poroelastic lung modeling and establishes a computationally efficient pathway for uncertainty-aware prediction and parameter estimation, with potential applications in personalized ventilation and preclinical study design.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10237-026-02100-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148358860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanics and mechanobiology of arterial development","authors":"Jay D. Humphrey,&nbsp;Erica L. Schwarz","doi":"10.1007/s10237-026-02088-0","DOIUrl":"10.1007/s10237-026-02088-0","url":null,"abstract":"<div><p>Arteries serve primarily a biomechanical function. Critical insight into arterial structure, properties, and function thus derives from knowledge of mechanosensitive gene expression, associated microstructural organization, and biomechanical metrics such as compliance and vasoactive capacity. This review focuses on time-course changes in hemodynamic loads and associated changes in the transcriptional profile, mural composition, overall geometry, and mechanical properties of arteries during postnatal development, namely, from birth to a healthy adult. Although we examine the postnatal period, we allude to key findings during the prenatal period; although we draw on findings from multiple species and vessels, most data come from studies of the thoracic aorta in mice as an archetype vessel; and although we focus on normal development, we highlight four pathologic cases in which emergent homeostasis is compromised. Collectively, the data suggest that tissue-level mechanical homeostasis typically emerges following postnatal growth, with set-point values for multiple metrics dictating subsequent adaptations to changing hemodynamic loads in maturity, though with congenital defects, pathogenic variants, and disease conditions compromising homeostatic processes. Understanding the normal developmental program is essential for studying early-onset conditions, early surgical and pharmacological intervention, and ultimately aging as well as disease progression and its treatment in maturity.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10237-026-02088-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148350259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parameter estimation in blood flow models from highly undersampled k-space magnetic resonance imaging data","authors":"Miriam Löcke,&nbsp;Pim van Ooij,&nbsp;Cristóbal Bertoglio","doi":"10.1007/s10237-026-02097-z","DOIUrl":"10.1007/s10237-026-02097-z","url":null,"abstract":"<div><p>4D Flow Magnetic Resonance Imaging (MRI) is the state-of-the-art technique for measuring blood flow and provides valuable data for inverse problems in the cardiovascular system. However, acquiring 4D Flow MRI data requires long scan times, placing a burden on healthcare resources and causing discomfort for patients. To mitigate this, only part of the k-space is typically acquired, requiring additional assumptions for image reconstruction, introducing inaccuracies that can degrade the results of inverse problems. Moreover, a wide range of sampling patterns is available, and it is often unclear which one is most suitable. Here, we present a parameter estimation framework that directly uses highly undersampled k-space measurements. We solve the resulting problem numerically using a Reduced-Order Unscented Kalman Filter. We show that this approach yields more accurate estimates of boundary-condition parameters in a synthetic aortic blood flow model than approaches based on compressed-sensing reconstructions of the flow images. We also compare different sampling patterns and show how estimation accuracy depends on the sampling strategy. The results demonstrate substantially higher accuracy than inverse problems based on velocity fields reconstructed via compressed sensing. Finally, we validate these findings using real MRI data from a mechanical phantom.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10237-026-02097-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148323859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanics-driven emergence of mesenchymal migration features","authors":"Nicolas Louviaux,&nbsp;Ibrahim Cheddadi,&nbsp;Claude Verdier,&nbsp;Angélique Stéphanou,&nbsp;Arnaud Chauvière","doi":"10.1007/s10237-026-02102-5","DOIUrl":"10.1007/s10237-026-02102-5","url":null,"abstract":"<div><p>Cell migration plays a central role in numerous physiological and pathological processes and emerges from the coordinated interplay between intracellular force generation, adhesion dynamics, and mechanical interactions with the environment. A minimal, mechanistically grounded understanding of these processes is required to disentangle the respective contributions of cell-intrinsic and environmental cues. Here, a two-dimensional in silico cell motility model is introduced to describe mesenchymal migration driven by intracellular traction forces generated within actin-rich protrusions anchored to a substrate. The model explicitly accounts for adhesion nucleation, maturation, force buildup and rupture, and relies on a small set of physically interpretable parameters. A systematic mechanical analysis identifies parameter regimes that permit effective cell translocation and delineates conditions leading to stalled or mobile cells. Within motile regimes, the model reproduces a broad spectrum of cell morphologies and migratory behaviours. In particular, cell trajectories exhibit the statistical features of a persistent random walk, with a crossover from ballistic to diffusive motion that arises solely from adhesion dynamics and force balance, without imposing polarization or directional bias. Cell morphology is shown to strongly regulate migration speed, persistence, and pausing behaviour. Altogether, this model provides a minimal reference framework for cell migration on non-deformable substrates and establishes a baseline for future studies of mechanically driven guidance. By construction, it is well suited for extension to deformable fibrous substrates, where cell-induced matrix remodeling and stiffness feedback are expected to bias migration and regulate cell encounters relevant to tissue morphogenesis and anastomosis.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148323858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating serial block-face SEM with voxel-based finite element analysis for high-fidelity micromechanical modelling of anisotropic soft tissues: application to human dermis","authors":"Jia Li,&nbsp;Orestis L. Katsamenis,&nbsp;Georges Limbert","doi":"10.1007/s10237-026-02090-6","DOIUrl":"10.1007/s10237-026-02090-6","url":null,"abstract":"<div><p>While continuum fibre-reinforced constitutive models of collagen-rich soft tissues incorporate microstructural information via structure tensor invariants, most of their numerical implementations assume spatially uniform fibre orientations. This study examined how spatially heterogeneous orientations, captured by high-resolution imaging and embedded in image-based finite element models, could provide novel mechanistic insights into tissue micromechanics. Serial block-face scanning electron microscopy (SBF-SEM) captured collagen architecture from fresh human skin dermis. Voxel-level 3D fibre orientations were extracted via structure tensor analysis. Voxel-based hexahedral meshes with element-level orientations were implemented in Abaqus/Standard with custom UMATs® user subroutines for invariant-based transversely isotropic hyperelasticity, and compared to classical models with spatially uniform fibre distributions under various loading conditions. Spatial heterogeneity significantly altered micromechanical responses. Under pseudo-homogeneous uniaxial extension aligned with the mean fibre orientation, Models 1A (uniform orientation, no dispersion), 1B (uniform orientation with dispersion), and 1C (spatially heterogeneous orientations) yielded nominal stresses at 44.6% Green–Lagrange strain differing by a factor of four (0.5, 0.8 and 2.1 MPa, respectively). Model 1C's maximum principal logarithmic strain showed a broader range with a secondary peak at 0.5 versus unimodal peaks at 0.3 for Models 1A/B. With a purely quadratic fibre energy, Model 1C recovered exponential-like macroscopic stiffening for fibre moduli of 25–500 MPa, confirming the J-shape arises from microstructural mechanism rather than through fibre material nonlinearity. The methodology delivers quantitative mechanistic insights into dermal micromechanics and generalises to a wide range of soft tissues from cornea and cartilage to arteries and lungs.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10237-026-02090-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148323814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stresses and fluid flow in lamina cribrosa through anisotropic poroelasticity","authors":"Riccardo Cavuoto,&nbsp;Sofia Damian,&nbsp;Luca Deseri,&nbsp;Massimiliano Fraldi,&nbsp;Brent Siesky,&nbsp;Alice Verticchio,&nbsp;Alon Harris,&nbsp;Giovanna Guidoboni","doi":"10.1007/s10237-026-02083-5","DOIUrl":"10.1007/s10237-026-02083-5","url":null,"abstract":"<div><p>To investigate the mechanical correlations between intraocular pressure (IOP) variations and glaucoma, this study presents a linear transversely isotropic poroelastic model of the lamina cribrosa (LC) based on Reissner–Mindlin plate theory. A key feature of the proposed framework is its analytical tractability, which allows the governing poroelastic equations to be solved in closed form under appropriate mechanical and hydraulic boundary conditions. Within this setting, linearity is used to capture the reversible component of the tissue response, providing a baseline description of the coupled solid–fluid feedback on which more complex time-dependent phenomena, such as viscoelastic effects and remodelling, may build. The results indicate that both strain and stress measures (in the form of shear strain and deviatoric stress measures) peak in the peripheral region of the LC, which is currently suspected to be the initial site of glaucomatous damage. These quantities increase with IOP, suggesting a pressure-dependent mechanical insult to the retinal ganglion cell (RGC) axons. In parallel, the model predicts a monotonic reduction in fluid content as IOP rises, which may contribute to ischemic phenomena and disc haemorrhages. The influence of material anisotropy was also examined, revealing that isotropic assumptions tend to overestimate the fluid content while underestimating shear strain. Given the current experimental challenges in measuring blood flow within the LC, the proposed model provides a valuable framework for exploring the coupled mechanical–hemodynamic behavior of the tissue and for inverse estimation of its mechanical parameters, such as the stiffness of the opening for the central retinal vessels.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10237-026-02083-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148293030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computational modeling of stent failure during crimping and deployment in coronary arteries","authors":"Alexandros Tragoudas,&nbsp;Gerhard A. Holzapfel,&nbsp;Fadi Aldakheel","doi":"10.1007/s10237-026-02091-5","DOIUrl":"10.1007/s10237-026-02091-5","url":null,"abstract":"<div><p>Crimping and deployment of coronary stents involve severe finite deformations, multibody contact, and complex loading-unloading sequences that critically influence their structural integrity and long-term performance. This study presents a 3D phase-field fracture framework for simulating the onset and evolution of metal stent failure during crimping and balloon-assisted deployment in coronary arteries modeled as an anisotropic, hyperelastic material. The proposed framework combines finite-strain elastoplasticity with a phase-field description of ductile fracture, implemented as a dedicated user element (UEL) in Abaqus and validated against experimental stress–strain data for stainless steel stents to accurately capture plastic deformation, damage initiation, and softening. In parallel, a second UEL is developed for the arterial wall, incorporating anisotropic hyperelasticity to represent the layered mechanical response of intima, media, and adventitia. Fully coupled simulations of the stent-balloon-artery system reproduce the complete crimp-hold-release and expansion sequence, explicitly capturing contact interactions, stress localization at crowns and connectors, and progressive damage accumulation under realistic physiological conditions. The simulations reveal that fracture is initiated already during the crimping phase and continues to evolve during balloon expansion, resulting in localized damage zones, residual stresses, and elastic recoil after balloon deflation. Comparative analyses of representative stent designs (e.g., open-cell and closed-cell configurations with varying strut thickness and geometry) demonstrate how design features, loading paths, and arterial anisotropy govern damage evolution, failure progression, and post-deployment mechanical performance. The proposed model establishes a robust computational framework for failure-aware evaluation of coronary stents under finite strains, providing new insights for optimizing stent design and deployment strategies. The corresponding source code in this study is openly available at https://doi.org/10.25835/666phabc to support further research.\u0000</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10237-026-02091-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148292973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of modeling subject-specific cortical folds on brain injury risk prediction under blunt impact loading","authors":"Anu Tripathi,&nbsp;Alison Brooks,&nbsp;Traci Snedden,&nbsp;Peter Ferrazzano,&nbsp;Christian Franck,&nbsp;Rika Wright Carlsen","doi":"10.1007/s10237-026-02095-1","DOIUrl":"10.1007/s10237-026-02095-1","url":null,"abstract":"<div><p>Computational head models are essential tools for predicting the risk of mild traumatic brain injury (mTBI). However, computational models vary in the level of anatomical details, most notably the cortical folds. This study aims to determine the effect of modeling cortical folds on mTBI risk assessment. We compared gyrencephalic (with cortical folds) and lissencephalic (without cortical folds) finite element (FE) head models of 18 subjects aged 9–18 years, subjected to a rotational head acceleration of 10 krad/s<span>(^2)</span> (10 ms duration) about each principal head axis. We analyzed the effect of cortical folds on different tissue-level mTBI injury metrics, including maximum principal strain (MPS95), maximum principal strain rate (MPSR95), and cumulative strain damage measure (CSDM15). The inclusion of cortical folds consistently yielded higher injury metrics across all individuals and rotational directions, with a bias (mean ± std. dev. relative to maximum lissencephalic values) of <span>(21.7 pm 9.1 %)</span> in MPS95, <span>(17.1pm 7.6%)</span> in MPSR95, and <span>(14.4pm 11.3%)</span> in CSDM15. Differences in the spatial strain distribution were also found between the models, with the DICE similarity coefficient ranging between <span>(0.07-0.43)</span> and <span>(0.42-0.70)</span> for the peak MPS and CSDM15, respectively. Increases in peak injury metrics (up to <span>(sim)</span>50%) were found for brain regions such as the corpus callosum, cerebellum, and brain stem. This study finds that the inclusion of cortical folds significantly alters the pattern of deformation in the brain and results in a prediction of higher mTBI risk.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10237-026-02095-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148281519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanistic study of annular eccentricity-induced flow instability and thrombus growth in TAVI patients: a geometric sensitivity analysis","authors":"Chuanke Zhou,&nbsp;Yuwen Zhang,&nbsp;Songling Fu,&nbsp;Qingyuan Huang,&nbsp;Pan Song,&nbsp;Min Dai,&nbsp;Jun Wen","doi":"10.1007/s10237-026-02096-0","DOIUrl":"10.1007/s10237-026-02096-0","url":null,"abstract":"<div><p>This study investigates the potential hemodynamic penalty of post-TAVI annular eccentricity on thrombogenesis. By integrating patient-specific CTA data with a computational framework coupling multi-component transport equations and the Momentum Sink Method, we compared hemodynamics and thrombus burden between idealized circular and controlled elliptical models. Our analysis suggests that elliptical morphology may significantly alter coherent helical flow, leading to more fragmented eddies within the sinuses. This hemodynamic alteration is associated with statistically elevated mean Relative Residence Time (RRT) and Endothelial Cell Activation Potential (ECAP) (<span>(P &lt; 0.05)</span>), which correlated with an observed increase in simulated thrombus volume and surface area. These findings indicate that annular eccentricity could be a significant, biology-independent geometric factor contributing to post-TAVI thrombotic risk. Our results propose that incorporating annular morphology into postoperative assessments may provide complementary biomechanical insights for individualized anticoagulant management.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 4","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148261663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}