Molecular & Cellular Biomechanics最新文献

{"title":"Multi-Modality Image-Based Modeling Approach for Cardiovascular Disease: Simulation, Assessment, Prediction, and Virtual Surgery","authors":"D. Tang","doi":"10.32604/mcb.2019.05170","DOIUrl":"https://doi.org/10.32604/mcb.2019.05170","url":null,"abstract":"Medical imaging and image-based modeling have made considerable progress in recent years in cardiovascular research, such as identifying atherosclerotic plaque morphological and mechanical risk factors which may be used in developing improved patient screening strategies, and performing virtual heart surgery seeking optimal surgical procedures for best post-surgical outcome. We will report recent progress in using multi-modality image-based models to predict vulnerable plaque progression and vulnerability change.   In particular, we will report our recent results using IVUS+OCT data to obtain more accurate stress/strain calculations. Inflammation and cap erosion will affect cap material properties. If OCT image could provide inflammation and erosion information, cap stress/strain calculation can be further improved. Preliminary results using molecular imaging will be presented. \u0000Patient-specific ventricle models were constructed to perform virtual surgery for patients with repaired tetralogy of Fallot (TOF) to predict post-surgery outcome, and to seek parameters which could be used to identify patients who could benefit more from pulmonary valve replacement surgery. Cardiac magnetic resonance (CMR) data were obtained from 16 TOF patients (8 male, median age, 42.75) and 6 healthy group (HG) volunteers (1 male, median age, 20.1). CMR-based patient-specific computational RV/LV models were constructed to obtain RV wall thickness (WT), volumes, curvature, and mechanical stress and strain for comparative analysis. It was found that mechanical stress could be a good predictor for surgical outcome. \u0000Acknowledgement: This research was supported in part by NIH grants R01 EB004759, R01 HL089269, NSF-China grants 11672001, 81571691, and a Jiangsu Province Science and Technology Agency grant BE2016785. \u0000Keywords: Cardiovascular disease, ventricle model, vulnerable plaque.","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75511910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Influence of Enhanced External Counterpulsation Intervention on the Biomechanical Stress Distribution of Advanced Plaque: A 3D FSI Study Based on in vivo Animal Experiment","authors":"Yahui Zhang, Hui Wang, Zhouming Mai, Jianhang Du, Guifu Wu","doi":"10.32604/MCB.2019.05836","DOIUrl":"https://doi.org/10.32604/MCB.2019.05836","url":null,"abstract":"Enhanced external counterpulsation (EECP) is an effective therapy to provide beneficial assistance for the failing heart by reducing cardiac afterload and increasing blood flow perfusion noninvasively. The technique of EECP involves the use of the EECP device to inflate and deflate a series of compression cuffs wrapped around the patient’s calves, lower thighs, and upper thighs. As the result, the enhanced flow perfusion is derived from the device’s propelling blood from veins of lower body to arteries of upper body and increases the blood supply for the important organs and brain. \u0000In the ACCF/AHA Guideline and ESC Guideline on the management of stable ischemic heart disease and coronary artery disease, EECP has been given a Class IIb and Class IIa recommendation respectively. In the ASA Guideline on the early management of Acute Ischemic stroke, EECP has been given a Class IIa recommendation. \u0000However, considering that EECP performance significantly elevates the acute blood pressure level as well as the perfusion level in systemic arterial tree and in diastolic, whether it will increase the risk of hypertension-related events such as atherosclerotic plaque rupture causes great concern in its clinical applications. But, the influence of EECP intervention on plaque progression remains elusive to this day and need to be assessed. \u0000It is generally agreed that biomechanical stresses play important roles in advanced atherosclerotic plaque progression and rupture. We hypothesized that EECP may intervene the advanced plaque progression via induced the variation of mechanical stresses in plaques. \u0000In this present paper, a pilot study containing animal experiment and numerical simulation was conducted to quantify the variations of biomechanical stresses of the plaque during EECP intervention. An experimentally induced hypercholesterolemic porcine model was developed and the basic hemodynamic measurements were performed in vivo before and during EECP intervention. Meanwhile, 3D multi-component idealized models with fluid-structure interactions (FSI) for carotid atherosclerotic plaques were introduced to solve the wall shear stress (WSS) and plaque structural stress (PWS) before and during intervention. Three cases of fibrous cap thickness (FC=600, 200 and 65μm) and three cases of material properties of the plaque components (normal, hard and soft) were involved in the current study. \u0000Numerical results showed that the max WSS level at the throat of the plaque, the 3D critical plaque wall stress (3D CPWS) level at the fibrous cap and the global max plaque wall stress (GMPWS) level at the shoulder of the plaque were all significantly augmented during EECP. When FC=65μm, EECP intervention augmented 118.1%±1.1% of the Max WSS level, 15.56%±1.68% of the 3D CPWS level and 14.78%±0.24% of the GMPWS level comparing to situations without EECP intervention. \u0000Considering that blood flow shear stress and structural stress are indexes that are presently thought might c","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"136 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86642998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Finite Element Analysis for Type B Aortic Dissection Treated with Two Types of Stent Grafts","authors":"Zhuangyuan Meng, T. Ma, Shengzhang Wang, Z. Dong, W. Fu","doi":"10.32604/MCB.2019.05706","DOIUrl":"https://doi.org/10.32604/MCB.2019.05706","url":null,"abstract":"Retrograde type A dissection (RTAD) and stent graft-induced new entry (SINE) is one of the most common post-TEVAR complications, and is defined as a new tear caused by the stent-graft itself (Dong Z.H. et al., 2009). Presumably, the mechanical action and potential damage of stent-graft to the aorta is related to the stent-graft and the anchoring position, mainly from two aspects: (1) The metal skeleton functions to fix the whole support to the wall of the aorta because it is self-inflating and strong in radial force. (2) After implantation, the stent-graft is bent into the arch like a bent spring, with a tendency to be straight. This may result in elastic recoil force to the aortic wall. This study investigated the occurring reasons of new lesions from the biomechanical and mechanobiological view when stent-grafts were implanted into the true lumen to treat an aortic dissection.","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82841832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting Plaque Progression Using Patient-Specific Fluid-Structure-Interaction Models Based on IVUS and OCT Images with Follow-Up","authors":"Xiaoya Guo, D. Tang, D. Molony, Chun Yang, H. Samady, Jie Zheng, G. Mintz, A. Maehara, Jian Zhu, G. Ma, M. Matsumura, D. Giddens","doi":"10.32604/MCB.2019.05743","DOIUrl":"https://doi.org/10.32604/MCB.2019.05743","url":null,"abstract":"Atherosclerotic plaque progression is generally considered to be closely associated with morphological and mechanical factors. Plaque morphological information on intravascular ultrasound (IVUS) and optical coherence tomography (OCT) images could complement each other and provide for more accurate plaque morphology. Fluid-structure interaction (FSI) models combining IVUS and OCT were constructed to obtain accurate plaque stress/strain and flow shear stress data for analysis. Accuracy and completeness of imaging and advanced modeling lead to accurate plaque progression predictions. \u0000In vivo IVUS and OCT coronary plaque data at baseline and follow-up were acquired from left circumflex coronary and right coronary artery of one patient with patient’s consent obtained. Co-registration and segmentation of baseline and follow-up IVUS and OCT images were performed by experts. Baseline and follow-up 3D FSI models with cyclic bending based on merged IVUS and OCT data were constructed to obtain plaque stress/strain and flow shear stress data for plaque progression prediction. Nine factors (6 morphological factors and 3 mechanical factors) including average cap thickness, lipid area, calcification area, lumen area, plaque area, plaque burden, wall shear stress (WSS), plaque wall stress (PWS) and plaque wall strain (PWSn) were selected for each slice. Plaque area increase (PAI) and plaque burden increase (PBI) were chosen to measure plaque progression and serve as the target variables for prediction. All possible combinations of nine factors were fed to a generalized linear mixed model for PAI and PBI prediction and quantification of their prediction accuracies. \u0000In this paper, prediction accuracy was defined as the sum of sensitivity and specificity. The optimized predictor combining 9 factors gave the best prediction for PAI with accuracy=1.7087 (sensitivity: 0.8679; specificity: 0.8408). PWSn was the best single-factor predictor for PAI with accuracy=1.5918 (sensitivity: 0.7143; specificity 0.8776). A combination of average cap thickness, calcification area, plaque area, PWS and PWSn gave the best prediction for PBI with accuracy=1.8698 (sensitivity: 0.8892; specificity: 0.9806). PWSn was also the best single-factor predictor for PBI with accuracy=1.8461 (sensitivity: 0.8784; specificity 0.9677). Although WSS was commonly accepted as an important factor for plaque progression, it showed relatively poor ability for prediction of plaque progression in any measure (accuracy, sensitivity, specificity of PAI: 1.0607, 0.0893, 0.9714; PBI: 1.5431/0.6811/0.9032). \u0000Combining morphological and mechanical risk factors may lead to more accurate progression prediction, compared to the predictions using single factor. PWSn is better than WSS for plaque progression using single factor. IVUS+OCT formed basis for accurate data for morphological and mechanical factors. \u0000Acknowledgement: This research was supported in part by NIH grant R01 EB004759, and a Jiangsu Province Sc","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83487136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Effect of Short-Term Exposure in PM0.1 on Cardiac Remodeling and Dysfunction in Myocardial Infraction Mice","authors":"Yufan Huang, Pei Niu, Li Li, Y. Huo","doi":"10.32604/MCB.2019.05726","DOIUrl":"https://doi.org/10.32604/MCB.2019.05726","url":null,"abstract":"We aimed to illustrate the association between short-term exposure PM0.1 and heart failure in myocardial infarction (MI) mice. Six-week-old ICR mice were divided into three groups randomly: sham group, MI group and MI exposure group, 12 mice in each group. LAD ligation operation was performed in MI group and MI exposure group. After postoperative two weeks MI exposure mice were put into ventilation chamber which filled with 500ug/m3 PM0.1 for 6 hours per day, while MI group mice and sham group mice were cultivated in normal environment. After exposure 8 weeks, we use Vevo 2100 machine to acquire heart function measurements. Then we collected blood sample and killed mice to obtain heart samples. The proliferation of myocardium were measured by immunofluorescence. Elisa was performed to detect the catecholamine expression in plasma. The changes of collagen were measured by Sirus red stain method. Compared with the sham group, the EF and FS in the MI group were significantly decreased (p<0.05), and MI exposure group showed higher amplitude decrease. The immunofluorescence result showed that the number of proliferating cell in MI exposure group did not change significantly. In addition, the IL-11 in the peripheral blood of MI exposure group did not change significantly, while Sirus red stain showed the content of collagen in MI exposure group increased significantly (p<0.05). In conclusion, short-term exposure in PM0.1 can exacerbate cardiac remodeling and dysfunction, while it had effect neither on IL-11 in peripheral blood nor on myocyte proliferation.","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87806235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reliability and Variability of Hepatic Venous Pressure Gradient as a Surrogate of Portal Pressure Gradient: Insights from a Computational Model-Based Study","authors":"Fuyou Liang and Tianqi Wang","doi":"10.32604/mcb.2019.05710","DOIUrl":"https://doi.org/10.32604/mcb.2019.05710","url":null,"abstract":"","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"354 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76479056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Protecting the Brain from Calcification in Ischemic Stroke","authors":"Shu Q. Liu","doi":"10.32604/mcb.2019.06960","DOIUrl":"https://doi.org/10.32604/mcb.2019.06960","url":null,"abstract":"","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77350583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fully-Coupled Fluid-Structure Interaction (FSI) Simulations of Heart Valve-Left Ventricle Dynamics","authors":"Wei Sun","doi":"10.32604/mcb.2019.08533","DOIUrl":"https://doi.org/10.32604/mcb.2019.08533","url":null,"abstract":"Fluid–structure interaction (FSI) is a common phenomenon in biological systems. FSI problems of practical interest, such as fish/mammalian swimming, insect/bird flight, and human cardiac blood flow and respiration often involve multiple 3D immersed bodies with complex geometries undergoing very large structural displacements, and inducing very complex flow phenomena. Simulation of heart valve FSI is a technically challenging problem due to the large deformation of the valve leaflets through the cardiac fluid domain in the atrium and ventricular chambers. Recently, we developed a FSI computational framework [1] for modeling patient-specific left heart (LH) dynamics using smoothed particle hydrodynamics (SPH) for the blood flow, and non-linear anisotropic finite element analysis for heart valve tissues. SPH is a meshless, statistical method that relies on sampling neighboring particles to calculate fluid field variables. SPH’s mesh-free and Lagrangian nature makes it particular suitable for numerical problems where there are 1) moving boundaries and 2) large deformations, which are the conditions seen in heart valve FSI applications. In this presentation, I will explain under which scenarios that heart valve FSI simulations are needed, and give a few examples of our FSI applications. Briefly, we utilized the SPH-FE based, fully-coupled FSI modeling techniques to investigate the pathological LH dynamics under primary and secondary mitral regurgitation (MR) conditions [2], and examine the underlying biomechanics of various minimally-invasive mitral valve (MV) repair techniques. The FSI model was also used to investigate the impact of transcatheter aortic valve replacement (TAVR) on LH dynamics under bicuspid aortic valve (BAV) stenosis and concomitant significant MR [3].","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"132 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80276387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sensing Traction Force Induces Cell-Cell Distant Communications for the Rapid Network Assembly of Airway Smooth Muscle Cells","authors":"Mingxing Ouyang, Zhili Qian, Yang Jin, Linhong Deng","doi":"10.32604/mcb.2019.06642","DOIUrl":"https://doi.org/10.32604/mcb.2019.06642","url":null,"abstract":"","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81627740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On the Identification of Heterogeneous Nonlinear Material Properties of the Aortic Wall from Clinical Gated CT Scans","authors":"Minliang Liu, L. Liang, X. Lou, Glen Iannucci, E. Chen, B. Leshnower, Wei Sun","doi":"10.32604/mcb.2019.07387","DOIUrl":"https://doi.org/10.32604/mcb.2019.07387","url":null,"abstract":"","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84291823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}