International Journal for Numerical Methods in Biomedical Engineering最新文献

{"title":"Tissue-Level Neck Response in Rotary-Wing Aircrew With Head-Supported Mass Assessed With Finite Element Model.","authors":"Prasannaah Hadagali, Steven L Fischer, Jack P Callaghan, Duane S Cronin","doi":"10.1002/cnm.70178","DOIUrl":"10.1002/cnm.70178","url":null,"abstract":"<p><p>Epidemiological studies have reported a prevalence of neck pain among rotary-wing aircrew (RWA), attributed in part to head-supported mass (HSM) including helmet and night vision goggles (NVG). Combined HSM and movement of the head away from the neutral position results in increased muscle activation and increased loads in the neck; however, the effect of HSM has not been quantified at the tissue level. In the present study, the tissue-level response to HSM was investigated using a detailed human finite element head-neck (HN) model. Non-neutral HN positions were achieved by activating the neck muscles, and three conditions were simulated for 25° flexion: (1) baseline HN model (HN_F), (2) HN with helmet (HN_F-H), and (3) HN with helmet, NVG and counterweight (HN_F-N). In addition, a combined HN position was investigated with the helmet, NVG and counterweight, comprising 25° flexion, 8° lateral bending, and 23° axial rotation (HN_C-N). Endplate stresses and annulus fibrosus (AF) fiber strains increased by 17% and 4%, respectively, with the added helmet (HN_F to HN_F-H). Endplate stresses and AF fiber strains increased by 24% and 12%, respectively, with the inclusion of NVG and counterweight to the helmet (HN_F-H to HN_F-N). In HN_C-N, endplate stresses and AF fiber strains further increased by 10% and 9%, respectively, relative to HN_F-N. The addition of NVG and counterweight to the helmet had a stronger influence than the helmet alone. The results can potentially quantify the high incidence of neck pain in RWA and can be applied to assess the consequences of mass additions and distribution in future systems.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"42 5","pages":"e70178"},"PeriodicalIF":2.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13137080/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147823002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of Red Blood Cell Properties on Impedance Signatures Generated in a Coulter Counter.","authors":"Pierre Pottier, Pierre Taraconat, Jean-Philippe Gineys, Damien Isèbe, Franck Nicoud, Simon Mendez","doi":"10.1002/cnm.70172","DOIUrl":"10.1002/cnm.70172","url":null,"abstract":"<p><p>The ability of red blood cells (RBCs) to deform is essential for microcirculation and oxygen delivery. Any changes in RBC deformability can lead to significant cardiovascular complications, necessitating timely detection. Although specialized microdevices can be designed to assess RBC deformability, leveraging instruments already used in clinical settings would enable easier integration and accelerate clinical translation. Coulter counter (CC) systems are routinely used to count, size, and analyze RBCs and the possibility to extend their diagnostic capabilities to RBC deformability is currently examined. In this study, the effects of RBCs' geometrical, morphological, and rheological properties on CC measurement have been investigated numerically, thanks to a simulation framework predicting the RBC dynamics in a CC and the associated impedance signature. Subsequently, a numerical parametric study has been performed, and the resulting pulses have been compared with experimental results, confirming the simulation's accuracy in predicting CC measurements. In addition to the RBC volume and the RBC trajectory in the sensing region, which had been investigated before, present results show that in our modeling framework, RBC sphericity, membrane viscosity, and cytoplasm viscosity are the main RBC characteristics contributing to the broad CC measurement spectrum observed experimentally when analyzing healthy blood samples.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"42 5","pages":"e70172"},"PeriodicalIF":2.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13151422/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147845646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Compact Computational Model for Hyperthermia-Controlled Drug Release Based on Krogh-Cylinder Approach.","authors":"Gabriele Adabbo, Alberto Coccarelli, Marcello Iasiello, Assunta Andreozzi","doi":"10.1002/cnm.70176","DOIUrl":"https://doi.org/10.1002/cnm.70176","url":null,"abstract":"<p><p>Hyperthermia-mediated drug delivery offers a promising strategy to enhance the efficacy of chemotherapy while minimizing systemic toxicity. Thermosensitive liposomes (TSLs) release their therapeutic payload in response to elevated temperature, enabling targeted delivery to tumor tissues. Here we introduce a hybrid multiscale model based on a Krogh cylinder approach to describe temperature-sensitive liposome transport and drug release in tumor tissue. Spatial transport of liposomes and released drug in the vascular and interstitial domains is described by one-dimensional (1D) transport equations, while intracellular drug internalization is represented by local compartmental (0D) kinetics. The model incorporates key physiological processes including blood flow, passive transvascular diffusion of liposomes, interstitial diffusion of released drug, and cellular uptake via receptor binding and internalization. The temperature field is calculated using the Pennes' bioheat equation, and its effects on physiological parameters-such as permeability, diffusivity, and blood velocity-are incorporated via temperature-dependent functions. A sensitivity analysis was performed to identify dominant transport parameters. Microvascular permeability, tissue diffusivity and Krogh cylinder radius were identified as the most influential parameters affecting drug delivery. Simulation results revealed that a 30-min preheating phase prior to drug administration significantly enhances treatment efficacy, increasing internalized doxorubicin concentrations by 29.4% while maintaining a low probability (5%) of tissue necrosis. This compact and computationally efficient model provides an effective framework for designing and optimizing hyperthermia-assisted chemotherapy. Its computational efficiency and physiological detail make it specifically suitable for use in treatment planning and real-time therapeutic decision-making in solid tumors.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"42 5","pages":"e70176"},"PeriodicalIF":2.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147822917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Osteoporosis-Induced Biomechanical Alterations in the Sacroiliac Joint","authors":"Wei Fan,&nbsp;Zhi-Xu Chen,&nbsp;Sen Yang,&nbsp;Sheng-Nan Liu,&nbsp;Zhen-Ya Sun,&nbsp;Jie Chen","doi":"10.1002/cnm.70171","DOIUrl":"10.1002/cnm.70171","url":null,"abstract":"<div>\u0000 \u0000 <p>Osteoporosis is a prevalent systemic disease primarily affecting the skeletal system, with the spine being one of the most commonly affected areas. Numerous studies have demonstrated detrimental biomechanical effects of osteoporosis on the lumbar spine. However, its influence on adjacent SIJ remains poorly understood. This study aimed to determine how osteoporosis alters SIJ biomechanics under physiological and vibrational load. A validated, 3D finite element model of the normal lumbopelvic segment (L1–pelvis) was modified to simulate osteoporosis by decreasing bone mechanical properties. Biomechanical responses within the SIJs to both static loading (flexion, extension, lateral bending, rotation) and vibration loading (cyclic axial compression) were analyzed and compared between the normal and osteoporotic conditions. Static analysis revealed that osteoporosis significantly increased SIJ range of motion (ROM) by 20.6%–52.7% and elevated maximum von Mises stress by 30.8%–90.3% compared to the normal condition. Also, forced vibration analysis revealed a 35%–36% increase in stress amplitudes in the osteoporotic model. These alterations correlated with reduced bone stiffness, suggesting compromised joint stability. These findings demonstrate that osteoporosis adversely affects SIJ biomechanics by increasing motion and internal stress, thereby potentially elevating the risks of SIJ instability, degeneration, and subsequent joint dysfunction and pain. This study provides novel insights into the overlooked role of SIJ pathology in osteoporotic patients, emphasizing the need for targeted diagnostic and therapeutic strategies.</p>\u0000 </div>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"42 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147640436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Red Blood Cell Membrane Mechanics Using Discrete Exterior Calculus (DEC) and Optimization","authors":"Keith C. Afas,&nbsp;Daniel Goldman","doi":"10.1002/cnm.70154","DOIUrl":"10.1002/cnm.70154","url":null,"abstract":"<p>In this study, a novel algorithm for computing red blood cell (RBC) geometry was developed as the first step of a quantitative model for RBC-ATP release. This model relied on the developing coordinate-invariant computational framework of discrete exterior calculus (DEC). The algorithm for the first time in literature was formulated in an implicit manner, utilized a Lie-derivative based vertex drift contribution to ensure the mesh was well-behaved throughout deformation, and was able to obtain RBC equilibrium geometries in an efficient manner. This algorithm was shown to be highly stable, quantified through tracking the RBC membrane energy. Equilibrium geometries were shown to agree with literature in in vivo observations, and qualitatively reproduced phenomena seen in in vivo experiments where RBCs are subjected to solutions of varying osmolarity. This DEC algorithm will be applied in future work to fluid–structure interactions of RBCs, and has application to a multitude of open cell biology problems.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"42 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13062631/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147640451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Deep Learning Model for the Identification of Active Contraction Properties of the Myocardium Using Limited Clinical Metrics","authors":"Igor A. P. Nobrega,&nbsp;Wenbin Mao","doi":"10.1002/cnm.70170","DOIUrl":"10.1002/cnm.70170","url":null,"abstract":"<div>\u0000 \u0000 <p>With the increasing prevalence of cardiovascular diseases globally and limitations in current constitutive models for myocardium mechanics, this study aims to develop a deep learning (DL) model geared toward patient-specific evaluation of left ventricular (LV) myocardium behavior. The primary aim is to bridge the gap between complex constitutive models and their practical clinical applications. We employed DL techniques to construct a model that operates under synthetic clinical metrics and pressure–volume loop data to predict the behavior of the LV myocardium for a whole cardiac cycle. This model generates a waveform of the active contraction parameter and estimates fiber angles at the endocardium and epicardium within a single forward pass. The outputs of our model can be used to infer the unknown parameters in finite element analysis of the myocardium. The DL model demonstrates consistency across various synthetic clinical data scenarios. While the model was tested using both idealized and a single patient-derived geometry, it is important to note that the results have not yet been validated against real clinical data. Overall, the developed DL model offers an innovative approach to understanding and predicting myocardium mechanics in patient-specific clinical settings. By reducing the barrier between the clinical applications and theoretical constitutive models, the proposed method has the potential to support more targeted cardiovascular interventions and diagnostics.</p>\u0000 </div>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"42 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147619239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Finite Element and Computational Fluid Dynamics Analysis of a Biodegradable Implant for Large Femoral Bone Defects.","authors":"Sina Taghipour, Farid Vakili-Tahami","doi":"10.1002/cnm.70175","DOIUrl":"https://doi.org/10.1002/cnm.70175","url":null,"abstract":"<p><p>The treatment of large bone defects represents a major clinical challenge. Biodegradable metallic 3D-printed scaffolds are promising for orthopedic applications due to their ability to provide sufficient mechanical support while gradually degrading and supporting bone healing. This study investigates the mechanical and fluid transport properties of Fe-10Mn-1Pd scaffolds for femoral fracture repair. The performance of 10 different lattice structures was first evaluated using finite element modeling (FEM) and validated by experimental compression testing, identifying the parallel face-centered cubic (PFCC) scaffold as optimal due to its superior stiffness-to-weight ratio. The selected PFCC scaffold was then geometrically optimized, integrated with a biodegradable ZK60 magnesium plate-screw system, and analyzed under walking cycle loading using FEM and computational fluid dynamics (CFD), which demonstrated uniform stress distribution, minimal stress shielding, and an average wall shear stress of 0.7 Pa, favorable for osteogenesis and fluid transport. These findings confirm that the PFCC Fe-10Mn-1Pd scaffold, combined with a magnesium-based fixation mechanism, provides both mechanical support and fluid transmission.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"42 4","pages":"e70175"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147787886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Finite Element Simulation of the Three-Dimensional Residual Stress Field Using a Patient-Specific Aortic Model.","authors":"Ming Zhang, Zongyao Li, Bei Zhang, Zijuan Wu, Yanzhang Dong, Dongxiong Wang, Haofei Liu","doi":"10.1002/cnm.70173","DOIUrl":"https://doi.org/10.1002/cnm.70173","url":null,"abstract":"<p><p>Residual stress (RS) in the aorta, key to the in vivo stress distribution, plays a significant role in aortic physiology and pathology. However, quantification of the three-dimensional (3D) residual stress field is challenging because its distribution is patient-specific and heterogeneous. In this study, a stress-driven anisotropic growth model is proposed to qualitatively predict the 3D residual stress field in a patient-specific human aortic wall model. The 3D residual stress field is predicted under the condition that the in vivo stress state is achieved. The in vivo stress is adjusted using the transmural stress heterogeneity. Virtual opening angle tests demonstrate that the simulated opening angles vary between axial positions, and the opening angles peak at the aortic arch. Lateral bending of the axial strips is also simulated. The results of both tests show good agreement with the experimental results in the literature. A parametric study reveals that both the opening and lateral bending angles vary with the in vivo transmural stress heterogeneity. The proposed method can be applied to predict patient-specific 3D heterogeneous residual stress and in vivo stress fields to explore the pathogenesis and treatment of aortic disease.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"42 4","pages":"e70173"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147724525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implant Abutment Screw Loosening: Biomechanical Analysis of Bruxism-Induced Mesiodistal Loads With FEA and Their Effect on Shear Stress.","authors":"Zeynep Canan Karip, Kadir Gök","doi":"10.1002/cnm.70174","DOIUrl":"10.1002/cnm.70174","url":null,"abstract":"<p><p>Abutment screw loosening in dental implant systems is one of the most common causes of long-term clinical failure. This study investigated the biomechanical effects of bruxism-induced mesiodistal loads on shear stress and screw loosening tendency at the implant-abutment connection using finite element analysis. In this study, a titanium alloy (Ti6Al4V) implant-abutment-screw system was three-dimensionally modeled, and mesiodistal loads (23.4, 128, and 234 N), representing mesiodistal forces, were applied. The friction coefficient between the contact surfaces was defined, and the screw preload and load transfer mechanism were analyzed. The results showed that shear stress in the connection area increased significantly with increasing mesiodistal loads, and that loads applied in a mesiodistal direction caused microrotation in the screw connection, increasing the risk of loosening. These findings emphasize the need to optimize load, screw preload, and connection geometry in implant design for individuals with bruxism and provide a scientific basis for material and design improvements to prevent screw loosening clinically.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"42 4","pages":"e70174"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147730473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Verification of a Fluid–Structure Interaction Model for Aortic Stenosis Through Comparison With In Vitro Experiments","authors":"Sabine Verstraeten,&nbsp;Roel Meiburg,&nbsp;Koen Janssens,&nbsp;Martijn Hoeijmakers,&nbsp;Nils Karajan,&nbsp;Marcel Rutten,&nbsp;Marcel van't Veer,&nbsp;Pim Tonino,&nbsp;Frans van de Vosse,&nbsp;Wouter Huberts","doi":"10.1002/cnm.70169","DOIUrl":"10.1002/cnm.70169","url":null,"abstract":"<p>Aortic stenosis (AS) severity is typically assessed by measuring pressure drop across the aortic valve in rest. However, this flow-dependent metric is influenced by patients' cardiac function, complicating clinical decision-making on valve replacement. Moreover, assessment during rest does not reflect valvular dynamics under higher flow rates (e.g., during exercise), and may underestimate severity in moderate AS patients. Patient-specific Fluid–Structure Interaction (FSI) modelling offers a promising, non-invasive method to simulate valve dynamics under varying conditions, independent of pressure exerted by the left ventricle. Therefore, this study aimed to experimentally verify an aortic stenosis FSI model using a patient-specific aortic valve geometry, including calcifications, across flow conditions ranging from rest to exercise. To achieve this goal, in vitro experiments were conducted using a mock-loop circulatory system with patient-specific silicone rubber valve models, both calcified and non-calcified. These experiments were replicated in FSI simulations. Overall, good agreement was observed between simulated and experimental results for the non-calcified valve in terms of mean transvalvular flow (5% error on average) and aortic valve area (AVA) (10% error on average). Discrepancies were more pronounced in the calcified valve due to added complexity and uncertainty introduced by calcifications (8% and 7% error on average for mean transvalvular flow and AVA, respectively). For clinical implementation, two key challenges remain: (1) developing efficient and reliable methods to estimate valve leaflet material properties and pre-stress, and (2) verifying the model against a broader range of in vitro data, followed by validating it against real, clinical data. Despite the remaining challenges, this study demonstrated the feasibility of using FSI models as a complementary, non-invasive tool to assess AS severity and support clinical decision-making on valve replacement.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"42 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13039782/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147596259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}