International Journal for Numerical Methods in Biomedical Engineering最新文献

{"title":"Improved Mechanical Support Parametrization to Predict the Renal Ostia Displacement Induced by Tools Insertion in EVAR","authors":"Hussein Mozahem,&nbsp;Mathilde Chastre,&nbsp;Florent Lalys,&nbsp;Simon Esneault,&nbsp;Adrien Kaladji,&nbsp;Aline Bel-Brunon","doi":"10.1002/cnm.70059","DOIUrl":"https://doi.org/10.1002/cnm.70059","url":null,"abstract":"<div>\u0000 \u0000 <p>To improve the prediction of renal ostia displacement in biomechanical finite element simulations of the vascular structure deformation during endovascular aneurysm repair (EVAR). An existing finite element model to compute the deformation of the vascular structure due to tools insertion during EVAR, previously validated against clinical data in terms of guidewire position, is confronted in terms of renal ostia displacement to clinical intraoperative data from 16 patients undergoing EVAR and experiencing significant ostia displacement during the procedure (average vertical displacement of 10.38 mm from the preoperative to intraoperative configurations). This yields an update of the mechanical support parametrization. A score quantifies the predictive performance of the existing and updated parametrizations for both the renal displacement and the iliac arteries deformation. The updated model demonstrates a significant improvement in predictive accuracy for renal ostia deviation during EVAR. The axial mean displacement error is improved from 7.41 mm (previous parametrization) to 2.99 mm (updated parametrization). The score shows that this new parametrization improves the predictive performance of the simulation for the renal ostia displacement without compromising the iliac deformations prediction. The updated parametrization significantly enhances the predictive capability for arterial deformations during EVAR. A better prediction of the renal ostia displacement can significantly improve surgical planning and intraoperative guidance.</p>\u0000 </div>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"41 7","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144582208","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":"A 3D Patient-Specific Model of Cerebral Blood Flow: Influence of Arterial Compliance and Circle of Willis Configuration","authors":"L. A. Mansilla Alvarez,&nbsp;G. D. Maso Talou,&nbsp;R. A. Feijóo,&nbsp;P. J. Blanco","doi":"10.1002/cnm.70065","DOIUrl":"https://doi.org/10.1002/cnm.70065","url":null,"abstract":"<div>\u0000 \u0000 <p>We conducted an in silico study of blood flow in the brain using two different computational models: fluid–structure interaction (FSI) and conventional rigid wall (CFD). These models were applied to a patient-specific vascular network derived from MRI data. We used a mid-fidelity numerical approach called Transversally Enriched Pipe Element Method (TEPEM) to solve the governing equations. In the FSI model, we coupled the TEPEM strategy with an independent-ring model to account for arterial wall compliance. We compared the FSI and CFD models to understand how arterial wall distensibility affects pressure, flow, and the spatial distribution of flow-related properties. Additionally, we introduced three synthetic anatomical variations in the Circle of Willis to extend the comparison of the FSI and CFD models to these scenarios. Our results suggest that vessel compliance introduces discrepancies up to <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mn>2</mn>\u0000 </mrow>\u0000 <annotation>$$ 2 $$</annotation>\u0000 </semantics></math> mmHg in distal cerebral regions and up to <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mn>15</mn>\u0000 <mo>%</mo>\u0000 </mrow>\u0000 <annotation>$$ 15% $$</annotation>\u0000 </semantics></math> in the Wall Shear Stress. Regarding the anatomical variations on the Circle of Willis, the incomplete configuration introduces discrepancies in derived-flow quantities as the Time-Averaged Wall Shear Stress and the Relative Retention Time up to <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mn>20</mn>\u0000 <mo>%</mo>\u0000 </mrow>\u0000 <annotation>$$ 20% $$</annotation>\u0000 </semantics></math>.</p>\u0000 </div>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"41 7","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144582345","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":"Inverse Problem Regularization for 3D Multi-Species Tumor Growth Models","authors":"Ali Ghafouri,&nbsp;George Biros","doi":"10.1002/cnm.70057","DOIUrl":"https://doi.org/10.1002/cnm.70057","url":null,"abstract":"<p>We present a multi-species partial differential equation (PDE) model for tumor growth and an algorithm for calibrating the model from magnetic resonance imaging (MRI) scans. The model is designed for glioblastoma multiforme (GBM) a fast-growing type of brain cancer. The modeled species correspond to proliferative, infiltrative, and necrotic tumor cells. The model calibration is formulated as an inverse problem and solved by a PDE-constrained optimization method. The data that drives the calibration is derived by a single multi-parametric MRI image. This is a typical clinical scenario for GBMs. The unknown parameters that need to be calibrated from data include 10 scalar parameters and the infinite dimensional initial condition (IC) for proliferative tumor cells. This inverse problem is highly ill-posed as we try to calibrate a nonlinear dynamical system from data taken at a single time. To address this ill-posedness, we split the inversion into two stages. First, we regularize the IC reconstruction by solving a single-species compressed sensing problem. Then, using the IC reconstruction, we invert for model parameters using a weighted regularization term. We construct the regularization term by using auxiliary 1D inverse problems. We apply our proposed scheme to clinical data. We compare our algorithm with single-species reconstruction and unregularized reconstructions. Our scheme enables the stable estimation of non-observable species and quantification of infiltrative tumor cells. Our regularization improves the tumor Dice score by 5%–10% compared to single-species model reconstruction. Also, our regularization reduces model parameter reconstruction errors by 4%–80% in cases with known initial condition and brain anatomy compared to cases without regularization. Importantly, our model can estimate infiltrative tumor cells using observable tumor species.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"41 7","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cnm.70057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144582346","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":"Correction to “Machine Learning-Based Rapid Prediction of Torsional Performance of Personalized Peripheral Artery Stent”","authors":"","doi":"10.1002/cnm.70069","DOIUrl":"https://doi.org/10.1002/cnm.70069","url":null,"abstract":"<p>https://doi.org/10.1002/cnm.70029.</p><p>The Affiliation 1 “Jiangsu University, Zhenjiang, China” was incorrect. This should have read: “School of Mechanical Engineering, Jiangsu University, Zhenjiang, China”.</p><p>We apologize for this error.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"41 7","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cnm.70069","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144573528","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":"Crack Extension Analysis and Parameter Optimization in Robot-Assisted Cracked Tooth Preparation Process: Finite Element Analysis and Experiment","authors":"Jingang Jiang,&nbsp;Biao Ma,&nbsp;Jianpeng Sun,&nbsp;Yongde Zhang,&nbsp;Jie Pan,&nbsp;Shan Zhou","doi":"10.1002/cnm.70070","DOIUrl":"https://doi.org/10.1002/cnm.70070","url":null,"abstract":"<div>\u0000 \u0000 <p>Existing robot-assisted cracked tooth preparation systems often result in crack extension or even tooth fracture due to inappropriate parameter settings. In order to solve this problem, a thermal–mechanical coupling model was developed to optimize the grinding parameters for a cracked tooth preparation robot. The grinding force model, based on an empirical formula, was established and analyzed. Using this model, the grinding temperature field of the tooth surface under a moving heat source was also determined. The optimal feed speed and rotational speed of the bur were identified through analysis. After verifying the model's accuracy through experiments, the stress intensity factor at the crack tips for various preparation parameters was calculated using the established thermal–mechanical coupling model, enabling the determination of a safe parameter range. Robot-assisted tooth preparation experiments were conducted based on the optimized preparation parameters, which resulted in a 19.32% reduction in normal grinding force and a 56.26% reduction in surface grinding temperature, and consequently a reduction in pulpal thermal damage compared to conventional preparation parameters. Crack extension following tooth preparation was observed by Micro-CT scanning, and the success rate of preventing crack extension was 73.33%, 93.33%, and 86.67% in xoz, yoz, and xoy sections.</p>\u0000 </div>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"41 7","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144573527","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":"Assessing the Influence of Screw Orientation on Fracture Fixation of the Proximal Humerus Using Finite Element Informed Surrogate Modeling","authors":"Daniela Mini,&nbsp;Karen J. Reynolds,&nbsp;Mark Taylor","doi":"10.1002/cnm.70060","DOIUrl":"https://doi.org/10.1002/cnm.70060","url":null,"abstract":"<p>The management of proximal humeral fractures is challenging, and fixation plates often show a high failure rate. However, new fixation plates with variable angle screws could be beneficial. Finite element (FE) studies have shown some benefits of plates with variable angle screws, but not all possible combinations have been explored, and hence worst and optimal scenarios have not been identified. The full exploration of the solution space is not possible using FE techniques due to the computational expense; therefore, a more computationally affordable technique is needed. This study aimed to develop adaptive neural network (ANN) models that can predict the likelihood of a screw collision and the level of strain on the humeral bone when the orientation of the screws is changed. ANN models were trained using input and output data from FE simulations with varying screw angles, developed on a single subject with a two-part fracture in the proximal humerus. Training sets of different sizes were developed to determine the quantity of data required for an accurate model. Firstly, the ANNs were used to make predictions of results from FE unseen data, showing an 84.4% accuracy for the prediction of screw collision and good correlation (<i>R</i>² = 0.99) and low levels of error (RMSE = 0.65%–5.49% strain) for the prediction of bone strain. The ANNs were used to make predictions of a full factorial scenario, showing that the variation of the orientation of the screw in the calcar region has the greatest impact on the bone strain around all screws.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"41 7","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cnm.70060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144550882","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":"Numerical Investigation Into Bone Remodeling Around Different Co-Polymeric Swelling Bone Anchors","authors":"Amirreza Sadighi,&nbsp;Mehrangiz Taheri,&nbsp;Nolan Black,&nbsp;Moein Taghvaei,&nbsp;Madeline Boyes,&nbsp;Delaney Oeth,&nbsp;Sorin Siegler,&nbsp;Thomas P. Schaer,&nbsp;Ahmad R. Najafi","doi":"10.1002/cnm.70054","DOIUrl":"https://doi.org/10.1002/cnm.70054","url":null,"abstract":"<div>\u0000 \u0000 <p>In this study, a hygro-elastic finite element framework, along with a strain-energy-density based bone remodeling framework, was developed and used to simulate the swelling of co-polymeric bone anchors to investigate their hygro-mechanical response. To validate the numerical results, free swelling and in vivo experiments were conducted as well. The free swelling experiments were conducted on co-polymeric porous bone anchors (composed of cross-linked poly [methyl methacrylate-co-acrylic acid]) with two ratios of 80/20 and 90/10 to investigate their swelling characteristics in bovine serum, mimicking in vivo conditions. Subsequently, the swelling of bone anchors was simulated embedded in bone regions with different densities. The radial stresses induced in the interface were extracted to examine the mechanical response of the surrounding bone. According to Wolff's law, such mechanical loads can be regarded by bone mechanotransducers as stimuli for remodeling. The bone remodeling framework evaluated the impact of the radial force induced by the swelling of the bone anchor on the surrounding bone. The radial stress induced by the controlled swelling ratio of 90/10 composition resulted in favorable bone densification in the region of interest (approximately between 17.5% and 54% depending on the density of the region). However, the excessive swelling of 80/20 composition caused radial stresses to go beyond the threshold of 31 MPa, causing overload resorption in the interface (especially in high-density regions, where there was total resorption in the interface) and jeopardizing the success of the bone anchor and osteointegration. It was discovered that the swelling ratio plays an important role in bone remodeling, and that it must be controlled within a certain threshold to ensure bone densification and prevent overload resorption. The results of the in vivo sheep study also confirmed these findings.</p>\u0000 </div>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"41 6","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144339315","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":"A Roadmap to Holographic Focused Ultrasound Approaches for Generating Gradient Thermal Patterns","authors":"Ceren Cengiz,&nbsp;Zekeriya Ender Eger,&nbsp;Mihir Pewekar,&nbsp;Pinar Acar,&nbsp;Wynn Legon,&nbsp;Shima Shahab","doi":"10.1002/cnm.70055","DOIUrl":"https://doi.org/10.1002/cnm.70055","url":null,"abstract":"<p>In therapeutic focused ultrasound (FUS), such as thermal ablation and hyperthermia, effective acousto-thermal manipulation requires precise targeting of complex geometries, sound wave propagation through irregular structures, and selective focusing at specific depths. Acoustic holographic lenses (AHLs) provide a distinctive capability to shape acoustic fields into precise, complex, and multifocal FUS-thermal patterns. Acknowledging the under-explored potential of AHLs in shaping ultrasound-induced heating patterns, this study introduces a roadmap for acousto-thermal modeling in the design of AHLs. Three primary modeling approaches are studied and contrasted using four distinct shape groups for the imposed target field. They include pressure-based time reversal (TR) (basic (BSC-TR) and iterative (ITER-TR)), temperature-based (inverse heat transfer optimization (IHTO-TR)), and machine learning (ML)-based (generative adversarial network (GaN) and GaN with feature (Feat-GAN)) methods. Novel metrics, including image quality, thermal efficiency, thermal control, and computational time, are introduced, providing each method's strengths and weaknesses. The importance of evaluating target pattern complexity, thermal and pressure requirements, and computational resources is highlighted. As a further step, two case studies: (1) transcranial FUS and (2) liver hyperthermia, demonstrate the practical use of acoustic holography in therapeutic settings. This paper offers a practical reference for selecting modeling approaches based on therapeutic goals and modeling requirements. Alongside established methods like BSC-TR and ITER-TR, new techniques IHTO-TR, GaN, and Feat-GaN are introduced. BSC-TR serves as a baseline, while ITER-TR enables refinement based on target shape characteristics. IHTO-TR supports thermal control, GaN offers rapid solutions under fixed conditions, and Feat-GaN provides adaptability across varying application settings.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"41 6","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cnm.70055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255920","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":"Analysis of the Role of Vasa Vasorum in the Oxygen Transport to the Aneurysm Wall","authors":"Juan R. Cebral,&nbsp;Fernando Mut,&nbsp;Rainald Lohner,&nbsp;Mukhayyirkhuja Abdurakhmonov,&nbsp;Mehdi Ramezanpour,&nbsp;Yasutake Tobe,&nbsp;Anne M. Robertson","doi":"10.1002/cnm.70051","DOIUrl":"https://doi.org/10.1002/cnm.70051","url":null,"abstract":"<p>The role of the vasa vasorum in the growth and rupture of intracranial aneurysms, as well as the conditions stimulating its local development along aneurysm walls are not completely clear and have not been studied on an aneurysm-specific basis. In this study, the oxygen distribution throughout the wall of an intracranial aneurysm that underwent substantial thickening and developed an extensive adventitial vasa vasorum network was numerically modeled in order to elucidate the role played by the vasa vasorum. The computational model was constructed based on high-resolution ex vivo micro computed tomography and multi-photon microscopy images of a tissue sample of the aneurysm harvested during open surgery. The mathematical model was based on the transport equation including oxygen diffusion and consumption in the tissue and diffusion across the lumen in the intimal side, and the vasa vasorum in the adventitial side. The governing equation was numerically solved with a finite volume approach on a high-resolution mesh containing approximately 48 million tetrahedra with an element size of 10 μm. The results demonstrate that the observed vasa vasorum plexus provided adequate oxygen supply to the outer layers of the thickened walls. Furthermore, the models show that without the vasa vasorum, due to consumption throughout the wall, the oxygen demand could not be met by diffusion from the luminal surface. These findings support the idea that local hypoxic conditions in regions of increased wall thickness stimulate the development of the vasa vasorum network on the adventitial surface.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"41 6","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cnm.70051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144244572","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":"Biomechanical Analysis of Proximal Junctional Kyphosis in Osteoporotic Thoracolumbar Fusion With Different Reinforcement Strategies","authors":"Gaiping Zhao,&nbsp;Jiancheng Ren,&nbsp;Shenglan He,&nbsp;Eryun Chen,&nbsp;Tong Ma,&nbsp;Wentao Yan,&nbsp;Kunneng Wu,&nbsp;Jie Wu","doi":"10.1002/cnm.70056","DOIUrl":"https://doi.org/10.1002/cnm.70056","url":null,"abstract":"<div>\u0000 \u0000 <p>The biomechanics of proximal junctional kyphosis (PJK) in osteoporotic thoracolumbar fusion patients require further exploration, particularly regarding the efficacy of different strengthening strategies such as vertebral augmentation (VA) and ligament tethers (TE). The effects of three strengthening strategies: double-segment VA (T7&amp;T8VA), three-level posterior TE (T6-T9TE), and combination of VA with TE (VATE) were compared in osteoporotic patients using a thoracolumbar T1-L5 finite element model to assess the impact on mechanical transfer to proximal vertebrae, intervertebral disc stress, and loads on the pedicle screw system. The ratios of maximum von Mises stress at the T7 in the posterior thoracolumbar fusion (PTCF), T7&amp;T8VA, T6-T9TE, and VATE models were 1:0.87:0.75:0.64, 1:0.98:0.35:0.33, 1:0.96:0.89:0.86, and 1:0.99:0.97:0.95 for the mild osteoporotic models during flexion, extension, lateral bending, and axial rotation, respectively. Compared with the PTCF model, T7/T8 IVD maximum stresses in T7&amp;T8VA, T6-T9TE, and VATE models were decreased by 7.08%, −0.38%, 4.42%, −0.67%; 27.7%, 72.72%, 8.97%, 0.17%; and 34.51%, 73.61%, 12.57%, −0.36% under identical conditions. The stresses at SCR8 in T7&amp;T8VA, T6-T9TE, and VATE increased over the PTCF model by 2.66%, 8.23%, 1.80% and 1.26%, 1.64%, 2.72% during flexion and rotation, respectively, and decreased by 3.40%, 32.92%, 34.06% and 4.61%, 7.37%, 11.07% during extension and lateral bending, respectively. In both mild and severe osteoporotic models, the strengthening methods of T7&amp;T8VA, T6-T9TE, and VATE exhibited similar trends of changes, but the stress values were significantly higher in the latter. The combination of T7&amp;T8VA with T6-T9TE is more effective in preventing PJK after posterior long-segment T8-L5 fusion surgery than using T7&amp;T8VA alone or T6-T9TE alone for osteoporotic patients. Simulation results can provide theoretical foundations and assist surgeons in selecting the appropriate operation scheme to prevent PJK for osteoporotic patients.</p>\u0000 </div>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"41 6","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144244668","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}