Pub Date : 2025-01-01DOI: 10.1016/j.jbiomech.2024.112456
Xianghao Zhan , Zhou Zhou , Yuzhe Liu , Nicholas J. Cecchi , Marzieh Hajiahamemar , Michael M. Zeineh , Gerald A. Grant , David Camarillo
Brain deformation caused by a head impact leads to traumatic brain injury (TBI). The maximum principal strain (MPS) was used to measure the extent of brain deformation and predict injury, and the recent evidence has indicated that incorporating the maximum principal strain rate (MPSR) and the product of MPS and MPSR, denoted as MPS × SR, enhances the accuracy of TBI prediction. However, ambiguities have arisen about the calculation of MPSR. Two schemes have been utilized: one is to use the time derivative of MPS (MPSR1), and another is to use the first eigenvalue of the strain rate tensor (MPSR2). Both MPSR1 and MPSR2 have been applied in previous studies to predict TBI. To quantify the discrepancies between these two methodologies, we compared them across eight in-vivo and one in-silico head impact datasets and found that 95MPSR1 was slightly larger than 95MPSR2 and 95MPS × SR1 was 4.85 % larger than 95MPS × SR2 in average. Across every element in all head impacts, the average MPSR1 was 12.73 % smaller than MPSR2, and MPS × SR1 was 11.95 % smaller than MPS × SR2. Furthermore, logistic regression models were trained to predict TBI using MPSR (or MPS × SR), and no significant difference was observed in the predictability. The consequence of misuse of MPSR and MPS × SR thresholds (i.e. compare threshold of 95MPSR1 with value from 95MPSR2 to determine if the impact is injurious) was investigated, and the resulting false rates were found to be around 1 %. The evidence suggested that these two methodologies were not significantly different in detecting TBI.
{"title":"Differences between two maximal principal strain rate calculation schemes in traumatic brain analysis with in-vivo and in-silico datasets","authors":"Xianghao Zhan , Zhou Zhou , Yuzhe Liu , Nicholas J. Cecchi , Marzieh Hajiahamemar , Michael M. Zeineh , Gerald A. Grant , David Camarillo","doi":"10.1016/j.jbiomech.2024.112456","DOIUrl":"10.1016/j.jbiomech.2024.112456","url":null,"abstract":"<div><div>Brain deformation caused by a head impact leads to traumatic brain injury (TBI). The maximum principal strain (MPS) was used to measure the extent of brain deformation and predict injury, and the recent evidence has indicated that incorporating the maximum principal strain rate (MPSR) and the product of MPS and MPSR, denoted as MPS × SR, enhances the accuracy of TBI prediction. However, ambiguities have arisen about the calculation of MPSR. Two schemes have been utilized: one is to use the time derivative of MPS (MPSR<sub>1</sub>), and another is to use the first eigenvalue of the strain rate tensor (MPSR<sub>2</sub>). Both MPSR<sub>1</sub> and MPSR<sub>2</sub> have been applied in previous studies to predict TBI. To quantify the discrepancies between these two methodologies, we compared them across eight in-vivo and one in-silico head impact datasets and found that 95MPSR<sub>1</sub> was slightly larger than 95MPSR<sub>2</sub> and 95MPS × SR<sub>1</sub> was 4.85 % larger than 95MPS × SR<sub>2</sub> in average. Across every element in all head impacts, the average MPSR<sub>1</sub> was 12.73 % smaller than MPSR<sub>2</sub>, and MPS × SR<sub>1</sub> was 11.95 % smaller than MPS × SR<sub>2</sub>. Furthermore, logistic regression models were trained to predict TBI using MPSR (or MPS × SR), and no significant difference was observed in the predictability. The consequence of misuse of MPSR and MPS × SR thresholds (i.e. compare threshold of 95MPSR<sub>1</sub> with value from 95MPSR<sub>2</sub> to determine if the impact is injurious) was investigated, and the resulting false rates were found to be around 1 %. The evidence suggested that these two methodologies were not significantly different in detecting TBI.</div></div>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"179 ","pages":"Article 112456"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142822158","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}
Pub Date : 2025-01-01DOI: 10.1016/j.jbiomech.2024.112484
Mostafa Jamshidian, Adam Wittek, Saeideh Sekhavat, Karol Miller
A search in Scopus within “Article title, Abstract, Keywords” unveils 2,444 documents focused on the biomechanics of Abdominal Aortic Aneurysm (AAA), mostly on AAA wall stress. Only 24 documents investigated AAA kinematics, an important topic that could potentially offer significant insights into the biomechanics of AAA. In this paper, we present an image-based approach for patient-specific, in vivo, and non-invasive AAA kinematic analysis using patient’s time-resolved 3D computed tomography angiography (4D-CTA) images, with an objective to measure wall displacement and strain during the cardiac cycle. Our approach relies on regularized deformable image registration for estimating wall displacement, estimation of the local wall strain as the ratio of its normal displacement to its local radius of curvature, and local surface fitting with non-deterministic outlier detection for estimating the wall radius of curvature. We verified our approach against synthetic ground truth image data created by warping a 3D-CTA image of AAA using a realistic displacement field obtained from a finite element biomechanical model. We applied our approach to assess AAA wall displacements and strains in ten patients. Our kinematic analysis results indicated that the 99th percentile of circumferential wall strain, among all patients, ranged from 2.62% to 5.54%, with an average of 4.45% and a standard deviation of 0.87%. We also observed that AAA wall strains are significantly lower than those of a healthy aorta. Our work demonstrates that the registration-based measurement of AAA wall displacements in the direction normal to the wall is sufficiently accurate to reliably estimate strain from these displacements.
{"title":"Kinematics of abdominal aortic Aneurysms","authors":"Mostafa Jamshidian, Adam Wittek, Saeideh Sekhavat, Karol Miller","doi":"10.1016/j.jbiomech.2024.112484","DOIUrl":"10.1016/j.jbiomech.2024.112484","url":null,"abstract":"<div><div>A search in Scopus within “Article title, Abstract, Keywords” unveils 2,444 documents focused on the biomechanics of Abdominal Aortic Aneurysm (AAA), mostly on AAA wall stress. Only 24 documents investigated AAA kinematics, an important topic that could potentially offer significant insights into the biomechanics of AAA. In this paper, we present an image-based approach for patient-specific, in vivo, and non-invasive AAA kinematic analysis using patient’s time-resolved 3D computed tomography angiography (4D-CTA) images, with an objective to measure wall displacement and strain during the cardiac cycle. Our approach relies on regularized deformable image registration for estimating wall displacement, estimation of the local wall strain as the ratio of its normal displacement to its local radius of curvature, and local surface fitting with non-deterministic outlier detection for estimating the wall radius of curvature. We verified our approach against synthetic ground truth image data created by warping a 3D-CTA image of AAA using a realistic displacement field obtained from a finite element biomechanical model. We applied our approach to assess AAA wall displacements and strains in ten patients. Our kinematic analysis results indicated that the 99th percentile of circumferential wall strain, among all patients, ranged from 2.62% to 5.54%, with an average of 4.45% and a standard deviation of 0.87%. We also observed that AAA wall strains are significantly lower than those of a healthy aorta. Our work demonstrates that the registration-based measurement of AAA wall displacements in the direction normal to the wall is sufficiently accurate to reliably estimate strain from these displacements.</div></div>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"179 ","pages":"Article 112484"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142864379","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}
Pub Date : 2025-01-01DOI: 10.1016/j.jbiomech.2024.112488
Katsuki Takahashi , Raki Kawama , Taku Wakahara
A muscle’s mechanical action is affected by its architecture. However, less is known about the architecture of muscles with broad attachments: “end-divergent” muscles. Potential regional variation of fascicle orientation in end-divergent muscles suggests that their mechanical action varies by region. Here, we comprehensively examined 3D architecture and potential action of the human gluteus maximus (typical end-divergent muscle) in vivo. The gluteus maximus fascicles were three-dimensionally reconstructed over the whole muscle belly using diffusion tensor imaging and tractography. We calculated the force fraction and moment-arm length about the hip joint for individual muscle fascicles, and their product (specific torque, an estimate of torque-generating capacity for a given cross-sectional area). We found that the specific torque for hip extension and external rotation tended to be greater in the distal than the other regions, whereas that for hip abduction appeared to be greater in the proximal than the other regions. Notably, the distal-lateral region exhibited a negative specific torque for hip abduction, indicating that fascicles in this region act for hip “adduction”. These findings indicate that end-divergent architecture diversifies within-muscle mechanical action in terms of directions as well as magnitudes in vivo.
{"title":"End-divergent architecture diversifies within-muscle mechanical action in human gluteus maximus in vivo","authors":"Katsuki Takahashi , Raki Kawama , Taku Wakahara","doi":"10.1016/j.jbiomech.2024.112488","DOIUrl":"10.1016/j.jbiomech.2024.112488","url":null,"abstract":"<div><div>A muscle’s mechanical action is affected by its architecture. However, less is known about the architecture of muscles with broad attachments: “end-divergent” muscles. Potential regional variation of fascicle orientation in end-divergent muscles suggests that their mechanical action varies by region. Here, we comprehensively examined 3D architecture and potential action of the human gluteus maximus (typical end-divergent muscle) <em>in vivo.</em> The gluteus maximus fascicles were three-dimensionally reconstructed over the whole muscle belly using diffusion tensor imaging and tractography. We calculated the force fraction and moment-arm length about the hip joint for individual muscle fascicles, and their product (specific torque, an estimate of torque-generating capacity for a given cross-sectional area). We found that the specific torque for hip extension and external rotation tended to be greater in the distal than the other regions, whereas that for hip abduction appeared to be greater in the proximal than the other regions. Notably, the distal-lateral region exhibited a negative specific torque for hip abduction, indicating that fascicles in this region act for hip “adduction”. These findings indicate that end-divergent architecture diversifies within-muscle mechanical action in terms of directions as well as magnitudes <em>in vivo</em>.</div></div>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"179 ","pages":"Article 112488"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142909693","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}
Pub Date : 2025-01-01DOI: 10.1016/j.jbiomech.2024.112443
Alexandra F. DeJong Lempke , Adam P. Audet , Marni G. Wasserman , Amanda C. Melvin , Katherine Soldes , Ella Heithoff , Sneh Shah , Kenneth M. Kozloff , Adam S. Lepley
This study aimed to compare running biomechanics and biomechanical variability across 3 run segments and between conditions for 5-km outdoor overground and indoor treadmill running. Seventy-one recreationally-active adults (31F, 40 M; age: 37 ± 11 years; body mass index: 22.9 ± 2.5 kg/m2) completed aerobic fitness assessments at baseline (VO2max), outdoor overground 5 km runs on a standardized route, and indoor treadmill 5 km runs on a motorized system (12.6 ± 4.9 days apart). Wearable sensors recorded step-by-step spatiotemporal, kinetic, and kinematic biomechanics. Repeated measures analyses of covariance were used to compare mean and coefficient of variation (CV) of sensor-derived metrics across run segments, conditions, and limbs (covariates: pace, VO2max). Tukey’s post-hoc tests with mean differences and Cohen’s d effect sizes were used to determine the difference magnitudes across comparisons. Most biomechanical measures significantly differed between running conditions (p < 0.001); contact time (mean difference and standard error: 8 ± 3 ms; d = 0.20), stride length (0.20 ± 0.12 m; d: 0.31), kinetics (shock, impact, braking; 0.17–1.30 g; d-range: 0.36–0.57), and pronation velocity (138 ± 16°/s; d: 0.61) were all higher during indoor treadmill running. Indoor treadmill running biomechanics CV were significantly higher for most measures compared to outdoor overground running (p < 0.001; d-range: 0.18–0.52). Only spatiotemporal measures and CV significantly differed across run segments (d-range: 0.16–0.68). Clinicians should expect that indoor treadmill biomechanics, particularly kinetic and pronation, will be significantly higher than patients’ outdoor overground running biomechanics and tailor subsequent recommendations accordingly. Furthermore, clinicians should expect that indoor treadmill running analyses may result in more variable biomechanics, potentially attributed to consistent speed and surface, and tailor assessments to preferred run environments.
{"title":"Biomechanical differences and variability during sustained motorized treadmill running versus outdoor overground running using wearable sensors","authors":"Alexandra F. DeJong Lempke , Adam P. Audet , Marni G. Wasserman , Amanda C. Melvin , Katherine Soldes , Ella Heithoff , Sneh Shah , Kenneth M. Kozloff , Adam S. Lepley","doi":"10.1016/j.jbiomech.2024.112443","DOIUrl":"10.1016/j.jbiomech.2024.112443","url":null,"abstract":"<div><div>This study aimed to compare running biomechanics and biomechanical variability across 3 run segments and between conditions for 5-km outdoor overground and indoor treadmill running. Seventy-one recreationally-active adults (31F, 40 M; age: 37 ± 11 years; body mass index: 22.9 ± 2.5 kg/m<sup>2</sup>) completed aerobic fitness assessments at baseline (VO<sub>2</sub>max), outdoor overground 5 km runs on a standardized route, and indoor treadmill 5 km runs on a motorized system (12.6 ± 4.9 days apart). Wearable sensors recorded step-by-step spatiotemporal, kinetic, and kinematic biomechanics. Repeated measures analyses of covariance were used to compare mean and coefficient of variation (CV) of sensor-derived metrics across run segments, conditions, and limbs (covariates: pace, VO<sub>2</sub>max). Tukey’s post-hoc tests with mean differences and Cohen’s d effect sizes were used to determine the difference magnitudes across comparisons. Most biomechanical measures significantly differed between running conditions (p < 0.001); contact time (mean difference and standard error: 8 ± 3 ms; d = 0.20), stride length (0.20 ± 0.12 m; d: 0.31), kinetics (shock, impact, braking; 0.17–1.30 g; d-range: 0.36–0.57), and pronation velocity (138 ± 16°/s; d: 0.61) were all higher during indoor treadmill running. Indoor treadmill running biomechanics CV were significantly higher for most measures compared to outdoor overground running (p < 0.001; d-range: 0.18–0.52). Only spatiotemporal measures and CV significantly differed across run segments (d-range: 0.16–0.68). Clinicians should expect that indoor treadmill biomechanics, particularly kinetic and pronation, will be significantly higher than patients’ outdoor overground running biomechanics and tailor subsequent recommendations accordingly. Furthermore, clinicians should expect that indoor treadmill running analyses may result in more variable biomechanics, potentially attributed to consistent speed and surface, and tailor assessments to preferred run environments.</div></div>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"178 ","pages":"Article 112443"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142769278","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}
Pub Date : 2025-01-01DOI: 10.1016/j.jbiomech.2024.112299
M. Fernandes , L.C. Sousa , C.C. António , S. Silva , S.I.S. Pinto
Computational methodologies for predicting the fractional flow reserve (FFR) in coronary arteries with stenosis have gained significant attention due to their potential impact on healthcare outcomes. Coronary artery disease is a leading cause of mortality worldwide, prompting the need for accurate diagnostic and treatment approaches. The use of medical image-based anatomical vascular geometries in computational fluid dynamics (CFD) simulations to evaluate the hemodynamics has emerged as a promising tool in the medical field. This comprehensive review aims to explore the state-of-the-art computational methodologies focusing on the possible considerations. Key aspects include the rheology of blood, boundary conditions, fluid–structure interaction (FSI) between blood and the arterial wall, and multiscale modelling (MM) of stenosis. Through an in-depth analysis of the literature, the goal is to obtain an overview of the major achievements regarding non-invasive methods to compute FFR and to identify existing gaps and challenges that inform further advances in the field. This research has the major objective of improving the current diagnostic capabilities and enhancing patient care in the context of cardiovascular diseases.
{"title":"A review of computational methodologies to predict the fractional flow reserve in coronary arteries with stenosis","authors":"M. Fernandes , L.C. Sousa , C.C. António , S. Silva , S.I.S. Pinto","doi":"10.1016/j.jbiomech.2024.112299","DOIUrl":"10.1016/j.jbiomech.2024.112299","url":null,"abstract":"<div><div>Computational methodologies for predicting the fractional flow reserve (FFR) in coronary arteries with stenosis have gained significant attention due to their potential impact on healthcare outcomes. Coronary artery disease is a leading cause of mortality worldwide, prompting the need for accurate diagnostic and treatment approaches. The use of medical image-based anatomical vascular geometries in computational fluid dynamics (CFD) simulations to evaluate the hemodynamics has emerged as a promising tool in the medical field. This comprehensive review aims to explore the state-of-the-art computational methodologies focusing on the possible considerations. Key aspects include the rheology of blood, boundary conditions, fluid–structure interaction (FSI) between blood and the arterial wall, and multiscale modelling (MM) of stenosis. Through an in-depth analysis of the literature, the goal is to obtain an overview of the major achievements regarding non-invasive methods to compute FFR and to identify existing gaps and challenges that inform further advances in the field. This research has the major objective of improving the current diagnostic capabilities and enhancing patient care in the context of cardiovascular diseases.</div></div>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"178 ","pages":"Article 112299"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142125816","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}
Pub Date : 2025-01-01DOI: 10.1016/j.jbiomech.2024.112297
Felipe Sempértegui, Stéphane Avril
Thoracic aortic aneurysms (TAA) represent a critical health issue for which computational models can significantly contribute to better understand the physiopathology. Among different computational frameworks, the Homogenized Constrained Mixture Theory has shown to be a computationally efficient option, allowing the inclusion of several mechanically significant constituents into a layer-specific mixture. Different patient-specific Growth and Remodeling (G&R) models correctly predicted TAA progression, although simplifications such as the inclusion of a limited number of collagen fibers and imposed boundary conditions might limit extensive analyses. The current study aims to enhance existing models by incorporating several discrete collagen fibers and to remove restrictive boundary conditions of the previous models. The implementation of discretized fiber dispersion presents a more realistic description of the vessel, while the removal of boundary conditions was addressed by including cross-links in the model to provide a supplemental stiffness against through-thickness shearing, a feature that was previously absent, and by the development of a non-local framework that ensures the stable deposition and degradation of collagen fibers. With these improvements, the current model represents a step forward towards more robust and comprehensive simulations of TAA growth.
{"title":"Integration of cross-links, discrete fiber distributions and of a non-local theory in the Homogenized Constrained Mixture Model to Simulate Patient-Specific Thoracic Aortic Aneurysm Progression","authors":"Felipe Sempértegui, Stéphane Avril","doi":"10.1016/j.jbiomech.2024.112297","DOIUrl":"10.1016/j.jbiomech.2024.112297","url":null,"abstract":"<div><div>Thoracic aortic aneurysms (TAA) represent a critical health issue for which computational models can significantly contribute to better understand the physiopathology. Among different computational frameworks, the Homogenized Constrained Mixture Theory has shown to be a computationally efficient option, allowing the inclusion of several mechanically significant constituents into a layer-specific mixture. Different patient-specific Growth and Remodeling (G&R) models correctly predicted TAA progression, although simplifications such as the inclusion of a limited number of collagen fibers and imposed boundary conditions might limit extensive analyses. The current study aims to enhance existing models by incorporating several discrete collagen fibers and to remove restrictive boundary conditions of the previous models. The implementation of discretized fiber dispersion presents a more realistic description of the vessel, while the removal of boundary conditions was addressed by including cross-links in the model to provide a supplemental stiffness against through-thickness shearing, a feature that was previously absent, and by the development of a <em>non-local</em> framework that ensures the stable deposition and degradation of collagen fibers. With these improvements, the current model represents a step forward towards more robust and comprehensive simulations of TAA growth.</div></div>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"178 ","pages":"Article 112297"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142145715","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}
Pub Date : 2025-01-01DOI: 10.1016/j.jbiomech.2024.112487
Xuan-hao Xu , Zhi-bo Wang , Qi Zhang , Jie-ting Wang , Xue Jia , Li-ling Hao , Ling Lin , Gui-fu Wu , Shuai Tian
Enhanced external counterpulsation (EECP) is widely utilized in rehabilitating patients after percutaneous coronary intervention (PCI) and has demonstrated efficacy in promoting cardiovascular function recovery. Although the precise mechanisms of the therapeutic effects remain elusive, it is widely postulated that the improvement of biomechanical environment induced by EECP plays a critical role. This study aimed to unravel the underlying mechanism through a numerical investigation of the in-stent biomechanical environment during EECP using an advanced multi-dimensional 0/1D-3D coupled model. Physiological data, including age, height, coronary angiography images, and blood velocity profiles of five different arteries, were clinically collected from eleven volunteers both at rest and during EECP. These data contributed the development of a patient-specific 0/1D model to predict the coronary volumetric flow and a 3D stented coronary artery model to capture the detailed in-stent biomechanical features. Specifically, an immersed solid method was introduced to address the numerical challenges of generating computational cells for the 3D model. Simulations revealed that EECP significantly improved the biomechanical environment within the stented arteries, as evidenced by increased time-averaged wall shear stress (resting vs. 20 kPa vs. 30 kPa: 1.39 ± 0.4773 Pa vs. 1.82 ± 0.6856 Pa vs. 1.96 ± 0.7592 Pa, p = 0.0009) and reduced relative residence time (resting vs. 20 kPa vs. 30 kPa: 1.06 ± 0.3926 Pa−1 vs. 0.89 ± 0.3519 Pa−1 vs. 0.87 ± 0.3764 Pa−1, p < 0.0001). Correspondingly, low-WSS/high-RRT surfaces were obviously reduced under EECP. These findings provide deeper insights into EECP’s therapeutic mechanisms, thereby offering basis to optimize EECP protocols for enhanced clinical outcomes in post-PCI patients.
体外强化反搏(EECP)在经皮冠状动脉介入治疗(PCI)后的患者康复中被广泛应用,并已证明其促进心血管功能恢复的疗效。虽然治疗效果的确切机制尚不清楚,但人们普遍认为EECP诱导的生物力学环境的改善起着关键作用。本研究旨在通过使用先进的多维0/1D-3D耦合模型对EECP期间支架内生物力学环境进行数值研究,揭示其潜在机制。生理数据,包括年龄、身高、冠状动脉造影图像和5条不同动脉的血流速度分布,临床收集了11名志愿者在休息和EECP期间的数据。这些数据有助于开发患者特异性的0/1D模型来预测冠状动脉容量流量,以及3D支架冠状动脉模型来捕获支架内详细的生物力学特征。具体而言,引入了一种浸入固体方法来解决生成三维模型计算单元的数值挑战。模拟结果显示,EECP显著改善了支架动脉内的生物力学环境,增加了时间平均壁剪切应力(静息与20 kPa vs 30 kPa: 1.39±0.4773 Pa vs 1.82±0.6856 Pa vs 1.96±0.7592 Pa, p = 0.0009),减少了相对停留时间(静息与20 kPa vs 30 kPa: 1.06±0.3926 Pa-1 vs 0.89±0.3519 Pa-1 vs 0.87±0.3764 Pa-1, p = 0.0009)
{"title":"The hemodynamic responses to enhanced external counterpulsation therapy in post-PCI patients with a multi-dimension 0/1D-3D model","authors":"Xuan-hao Xu , Zhi-bo Wang , Qi Zhang , Jie-ting Wang , Xue Jia , Li-ling Hao , Ling Lin , Gui-fu Wu , Shuai Tian","doi":"10.1016/j.jbiomech.2024.112487","DOIUrl":"10.1016/j.jbiomech.2024.112487","url":null,"abstract":"<div><div>Enhanced external counterpulsation (EECP) is widely utilized in rehabilitating patients after percutaneous coronary intervention (PCI) and has demonstrated efficacy in promoting cardiovascular function recovery. Although the precise mechanisms of the therapeutic effects remain elusive, it is widely postulated that the improvement of biomechanical environment induced by EECP plays a critical role. This study aimed to unravel the underlying mechanism through a numerical investigation of the in-stent biomechanical environment during EECP using an advanced multi-dimensional 0/1D-3D coupled model. Physiological data, including age, height, coronary angiography images, and blood velocity profiles of five different arteries, were clinically collected from eleven volunteers both at rest and during EECP. These data contributed the development of a patient-specific 0/1D model to predict the coronary volumetric flow and a 3D stented coronary artery model to capture the detailed in-stent biomechanical features. Specifically, an immersed solid method was introduced to address the numerical challenges of generating computational cells for the 3D model. Simulations revealed that EECP significantly improved the biomechanical environment within the stented arteries, as evidenced by increased time-averaged wall shear stress (resting vs. 20 kPa vs. 30 kPa: 1.39 ± 0.4773 Pa vs. 1.82 ± 0.6856 Pa vs. 1.96 ± 0.7592 Pa, <em>p</em> = 0.0009) and reduced relative residence time (resting vs. 20 kPa vs. 30 kPa: 1.06 ± 0.3926 Pa<sup>−1</sup> vs. 0.89 ± 0.3519 Pa<sup>−1</sup> vs. 0.87 ± 0.3764 Pa<sup>−1</sup>, <em>p</em> < 0.0001). Correspondingly, low-WSS/high-RRT surfaces were obviously reduced under EECP. These findings provide deeper insights into EECP’s therapeutic mechanisms, thereby offering basis to optimize EECP protocols for enhanced clinical outcomes in post-PCI patients.</div></div>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"179 ","pages":"Article 112487"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142877248","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}
Pub Date : 2025-01-01DOI: 10.1016/j.jbiomech.2024.112481
Nathan T. Carrington , Paul W. Milhouse , Caleb J. Behrend , Savannah R. Forrester , Thomas B. Pace , Jeffrey N. Anker , John D. DesJardins
Bone healing after sliding hip screw internal fixation of intertrochanteric hip fractures is difficult to monitor with radiography. In this study, we describe and evaluate a device to non-invasively determine the loading on the screw implant as a possible qualitative indicator of bone healing. A novel load-sensing sliding hip screw (LS-SHS) was fabricated containing a radio-dense tungsten indicator rod that moves and can be measured within the screw cannulation when the screw bends under load via plain radiography. Screw bending was assessed in intact femurs and unstable A1 intertrochanteric fractures using experimental axial loading of femoral composite Sawbones® and femoral human cadaveric specimens. Sensor readings were visually tracked using plain radiographs at each load state. The sensor exhibited linear response to implant strain in the unstable fracture indicating that the implant supported the major component of the applied load. This was consistently measurable using radiography throughout loading cycles across the mechanical and cadaveric fracture models. Sensor readings indicated that the implant was mostly unloaded in the intact models. The slope of the curve was approximately equal in the composite and cadaveric models (1.0 µm/N and 0.08 µm/N, respectively). Sensor noise levels were sufficient to detect 10% of the applied load of 80 kg, which has the potential to qualitatively assist clinicians in tracking fracture healing progression. Clinicians must carefully monitor their patients for signs of SHS implant failure after surgery. This device quantitively measures implant loading which could qualitatively assist clinicians in the assessment of fracture healing.
{"title":"A novel load-sensing sliding hip screw to aid in the assessment of intertrochanteric fracture healing","authors":"Nathan T. Carrington , Paul W. Milhouse , Caleb J. Behrend , Savannah R. Forrester , Thomas B. Pace , Jeffrey N. Anker , John D. DesJardins","doi":"10.1016/j.jbiomech.2024.112481","DOIUrl":"10.1016/j.jbiomech.2024.112481","url":null,"abstract":"<div><div>Bone healing after sliding hip screw internal fixation of intertrochanteric hip fractures is difficult to monitor with radiography. In this study, we describe and evaluate a device to non-invasively determine the loading on the screw implant as a possible qualitative indicator of bone healing. A novel load-sensing sliding hip screw (LS-SHS) was fabricated containing a radio-dense tungsten indicator rod that moves and can be measured within the screw cannulation when the screw bends under load via plain radiography. Screw bending was assessed in intact femurs and unstable A1 intertrochanteric fractures using experimental axial loading of femoral composite Sawbones® and femoral human cadaveric specimens. Sensor readings were visually tracked using plain radiographs at each load state. The sensor exhibited linear response to implant strain in the unstable fracture indicating that the implant supported the major component of the applied load. This was consistently measurable using radiography throughout loading cycles across the mechanical and cadaveric fracture models. Sensor readings indicated that the implant was mostly unloaded in the intact models. The slope of the curve was approximately equal in the composite and cadaveric models (1.0 µm/N and 0.08 µm/N, respectively). Sensor noise levels were sufficient to detect 10% of the applied load of 80 kg, which has the potential to qualitatively assist clinicians in tracking fracture healing progression. Clinicians must carefully monitor their patients for signs of SHS implant failure after surgery. This device quantitively measures implant loading which could qualitatively assist clinicians in the assessment of fracture healing.</div></div>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"179 ","pages":"Article 112481"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142828597","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}
The tongue has a wide variety of motor functions, which are driven by tongue muscle contractions and associated with movements of the hyoid bone (HB) connected to the tongue root. HB movement has been observed in many situations, including swallowing, breathing, and speech. However, the relationships between HB movement and tongue kinematic function have received little attention, and have not been considered in most previous biomechanical tongue modeling research, except studies of swallowing. The current study aimed to clarify the effects of HB movement on tongue kinematics during tongue forward protrusion, which is an essential tongue motor function associated with speech disorder. HB displacement during tongue forward protrusion was quantified using ultrasound imaging in four healthy controls. Furthermore, computational mechanical simulations of tongue forward protrusion were conducted with observed HB movements and active contraction of the genioglossus (GG) muscle, which is conventionally considered to be the driving muscle in tongue forward protrusion. Ultrasound imaging revealed anterosuperior HB displacement in tongue forward protrusion, with a similar magnitude in each direction (anterior: 6.3 ± 2.8 mm, superior: 5.8 ± 1.6 mm). Computational simulation demonstrated that the HB movement described above caused not only anterosuperior displacement, but also forward rotation of the tongue body, which was caused by kinematic constraints of GG. The resulting anterior displacement of the tongue tip was 1.5 times greater compared with that without HB movement. These findings indicate that the HB and associated tongue body movements play non-negligible roles in the tongue kinematics of forward protrusion.
{"title":"A kinematically reasonable mechanism of tongue forward protrusion considering hyoid bone movements","authors":"Kyoichi Inoue , Tomohiro Otani , Kazunori Nozaki , Tsukasa Yoshinaga , Shigeo Wada","doi":"10.1016/j.jbiomech.2024.112445","DOIUrl":"10.1016/j.jbiomech.2024.112445","url":null,"abstract":"<div><div>The tongue has a wide variety of motor functions, which are driven by tongue muscle contractions and associated with movements of the hyoid bone (HB) connected to the tongue root. HB movement has been observed in many situations, including swallowing, breathing, and speech. However, the relationships between HB movement and tongue kinematic function have received little attention, and have not been considered in most previous biomechanical tongue modeling research, except studies of swallowing. The current study aimed to clarify the effects of HB movement on tongue kinematics during tongue forward protrusion, which is an essential tongue motor function associated with speech disorder. HB displacement during tongue forward protrusion was quantified using ultrasound imaging in four healthy controls. Furthermore, computational mechanical simulations of tongue forward protrusion were conducted with observed HB movements and active contraction of the genioglossus (GG) muscle, which is conventionally considered to be the driving muscle in tongue forward protrusion. Ultrasound imaging revealed anterosuperior HB displacement in tongue forward protrusion, with a similar magnitude in each direction (anterior: 6.3 ± 2.8 mm, superior: 5.8 ± 1.6 mm). Computational simulation demonstrated that the HB movement described above caused not only anterosuperior displacement, but also forward rotation of the tongue body, which was caused by kinematic constraints of GG. The resulting anterior displacement of the tongue tip was 1.5 times greater compared with that without HB movement. These findings indicate that the HB and associated tongue body movements play non-negligible roles in the tongue kinematics of forward protrusion.</div></div>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"178 ","pages":"Article 112445"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142785784","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}
Local biaxial deformation plays a pivotal role in evaluating the tissue state of the ascending aorta and in driving intramural cell-mediated tissue remodeling. Unfortunately, the absence of anatomical markers on the ascending aorta presents challenges in capturing deformation. Utilizing our established intra-operative biaxial strain measurement method, we delineated local biaxial deformation characteristics in patients undergoing aortic valve replacement and coronary artery bypass graft surgery recipients (n = 20), and Aortic Repair surgery patients (n = 47). Expectedly, mean circumferential strains positively correlated with pulse pressure and negatively correlated with age and diameter. A new observation was that the mean axial strains exhibited the same trend as the mean circumferential strains when correlated with pulse pressure, age and diameter. Interestingly, on analyzing local biaxial strains, our findings revealed higher circumferential strains (by 1 %) proximal to the heart compared to distal regions across the cohorts and within each patient cohort. Furthermore, no discernible regional strain distinctions were noted between the medial and lateral sides of the ascending aorta for the entire patient population and individual cohorts. Patients undergoing Aortic Repair surgery indicated lower strains (ranging from 1 to 3 %) as compared to the other cohort. Our approach holds the potential to establish a foundational framework for the integrated examination of the mechanical and biological conditions and their role in ascending aortic aneurysm development.
{"title":"Interpretation of intra-operative strain differences in ascending thoracic aortic repair patients","authors":"Shaiv Parikh , Anne Wehrens , Alessandro Giudici , Berta Ganizada , Pepijn Saraber , Leon Schurgers , Gijs Debeij , Ehsan Natour , Jos Maessen , Wouter Huberts , Tammo Delhaas , Koen Reesink , Elham Bidar","doi":"10.1016/j.jbiomech.2024.112447","DOIUrl":"10.1016/j.jbiomech.2024.112447","url":null,"abstract":"<div><div>Local biaxial deformation plays a pivotal role in evaluating the tissue state of the ascending aorta and in driving intramural cell-mediated tissue remodeling. Unfortunately, the absence of anatomical markers on the ascending aorta presents challenges in capturing deformation. Utilizing our established intra-operative biaxial strain measurement method, we delineated local biaxial deformation characteristics in patients undergoing aortic valve replacement and coronary artery bypass graft surgery recipients (n = 20), and Aortic Repair surgery patients (n = 47). Expectedly, mean circumferential strains positively correlated with pulse pressure and negatively correlated with age and diameter. A new observation was that the mean axial strains exhibited the same trend as the mean circumferential strains when correlated with pulse pressure, age and diameter. Interestingly, on analyzing local biaxial strains, our findings revealed higher circumferential strains (by 1 %) proximal to the heart compared to distal regions across the cohorts and within each patient cohort. Furthermore, no discernible regional strain distinctions were noted between the medial and lateral sides of the ascending aorta for the entire patient population and individual cohorts. Patients undergoing Aortic Repair surgery indicated lower strains (ranging from 1 to 3 %) as compared to the other cohort. Our approach holds the potential to establish a foundational framework for the integrated examination of the mechanical and biological conditions and their role in ascending aortic aneurysm development.</div></div>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"179 ","pages":"Article 112447"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142791769","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}