构建基于患者个体化的Stanford B型主动脉夹层计算流体力学数值模拟分析模型（英文）

目的：探索简便、高效、精确的构建基于真实人体解剖形态结构的Stanford B型主动脉夹层计算流体力学数值模拟分析模型的方法。方法：利用Siemens Sensation Cardiac64层螺旋CT薄层扫描技术,基于1mm层厚获取6例Stanford B型主动脉夹层连续断层DICOM格式图像,导入Materialise MIMICS v12.11软件,界定目标区域后生成三维动脉模型,经网格优化处理去除低质量及相交面网格,保存结果输出,导入TGrid5.0软件,对主动脉面网格模型进行几何修复,使面网格扭曲率〈0.75,采用自由分网方式生成Stanford B型主动脉夹层计算流体力学分析体网格模型,并对所构建模型进行血流属性、流场边界等界定,初步验证模型的有效性。结果：通过初步计算求解,确定所构建的6例Stanford B型主动脉夹层计算流体力学分析模型分别包含1857030,1820501,1844181,1849651,1858246及1814914个四面体单元。结论：利用64层螺旋CT薄层扫描技术获取DICOM格式连续断层CT图像可快速、准确地构建Stanford B型主动脉夹层计算流体力学数值模拟分析模型,为进一步的计算流体力学分析奠定了良好的基础。     

Stanford B型主动脉夹层撕破口局部计算流体力学研究

目的:探索Stanford B型主动脉夹层局部血流动力学改变对主动脉夹层发生、发展以及临床预后评估的作用,为临床治疗方案选择提供理论依据。方法:通过CT扫描获取临床常见典型形态的Stanford B型主动脉夹层断层序列,重建出三维主动脉夹层计算流体力学分析模型,对主动脉夹层真假腔内血液流场进行数值模拟计算。结果:血液流经Stanford B型主动脉夹层撕破口时会对血管局部壁面产生冲击,造成动脉管壁局部压强升高,此种"冲击效应"不但会出现在近端夹层撕破口附近管腔壁面,也会出现在中间段及远端夹层撕破口附近,当入口血流压强升高时,夹层撕破口附近局部壁面压强差值也会增加。在心动周期内,Stanford B型主动脉夹层壁面剪切应力异常升高区也主要集中在撕破口区附近的动脉壁面上。结论:对于Stanford B型主动脉夹层而言,撕破口的位置相对于撕破口直径而言似乎更有临床意义。对B型夹层患者采用降低血压治疗,可减低局部动脉管壁上的壁面压强差值,但无法消除此壁面压强差,即主动脉夹层管壁上的局部危险区始终存在。此现象揭示主动脉夹层中远端撕破口也可能是造成夹层局部危险因素的原因,采用手术治疗方法封闭撕破口,以消除局部壁面压强增高区,降低破裂风险,可能是更理想的治疗方法。     

64层螺旋CT血管造影在胸部大血管成像中的临床应用

目的探讨64层螺旋CT血管造影在胸部大血管成像的临床应用价值。方法回顾分析了112例患者行64层螺旋CT胸部大血管造影资料,以临床手术或随访结果为金标准,进行图像分析。结果CT能够显示主动脉、肺动静脉的结构,可以诊断主动脉夹层、主动脉瘤、肺栓塞、先天性心脏病等多种大血管病变,诊断准确率100%。结论64层CT血管造影扫描速度快、安全、准确,是胸部大血管病变的首选方法。     

影响复杂性Stanford B型主动脉夹层院内死亡的危险因素分析

目的:探讨复杂性Stanford B型主动脉夹层患者院内死亡的危险因素。方法:回顾性分析2010年1月至2015年6月急诊收治入院的98例复杂性Stanford B型主动脉夹层患者的住院病例资料,对可能影响复杂Stanford B型主动脉夹层院内死亡的15项临床病理因素:患者年龄、性别、治疗方式、发病至就诊时间、既往是否有高血压病史、就诊时收缩压、入院时是否合并肺部感染、慢性肾功能不全、既往结缔组织病、主动脉扩张、急性肾损伤、心包积液、胸腔积液、腹腔积液、心肌灌注、肠系膜动脉灌注、下肢灌注,进行单因素和多因素回归分析。结果:单因素分析结果显示:患者年龄、就诊时收缩压、治疗方式、急性肾损伤、心肌灌注不良、心包积液、主动脉扩张、下肢灌注不良与院内死亡有关(P0.1)。经COX多因素回归分析结果显示:TEVAR治疗(HR=8.437CI 1.048-67.925 P=0.045),心包积液(HR=4.010 CI 1.675-9.598 P=0.002),下肢灌注不良(HR=3.133 CI 1.083-9.064 P=0.035)与院内死亡有关(P0.05)。结论:心包积液及下肢灌注不良可使复杂性Stanford B型主动脉夹层患者院内死亡率增加,而TEVAR可有效改善患者早期预后。     

NLR联合H-FABP对Stanford B型主动脉夹层腔内修复术患者预后的预测价值

摘要 目的：研究中性粒细胞/淋巴细胞比值（NLR）联合心型脂肪酸结合蛋白（H-FABP）对Stanford B型主动脉夹层胸主动脉腔内修复术（TEVAR）患者预后的预测价值。方法：选取2017年6月至2020年9月在我院接受TEVAR治疗的172例Stanford B型主动脉夹层患者为研究对象。收集所有患者基线资料、相关实验室指标水平,随访追踪患者预后,按照预后差异分作预后不良组和预后良好组,比较两组患者基线资料和实验室指标差异,采用多因素Logistic回归分析患者预后的影响因素,以受试者工作特征（ROC）曲线分析NLR联合H-FABP对患者预后的预测价值。结果：预后不良组收缩压、舒张压高于预后良好组（P＜0.05）。预后不良组NLR、H-FABP、白细胞计数（WBC）水平均高于预后良好组,而血小板计数（PLT）水平低于预后良好组（P＜0.05）。多因素Logistic回归分析显示：收缩压、舒张压、NLR、H-FABP、WBC均是Stanford B型主动脉夹层TEVAR患者预后的影响因素（P＜0.05）。ROC曲线分析显示：NLR联合H-FABP预测Stanford B型主动脉夹层TEVAR患者预后的曲线下面积为0.876均高于上述两项指标单独预测的0.626及0.712。结论：NLR联合H-FABP对Stanford B型主动脉夹层TEVAR患者预后具有一定预测价值。     

64层螺旋CT增强扫描在急诊胸部创伤中的初步应用

目的：探讨64层螺旋CT增强扫描在急诊胸部创伤中的诊断价值及临床意义。方法：18例急诊胸部创伤患者均行胸部64层螺旋CT平扫及增强扫描。采用最大密度投影（MIP）、曲面重建（CPR）和容积再现技术（VR）对胸部大血管进行重建、分析。将CT诊断结果与手术、随访复查结果进行比较。结果：18例中,CT平扫显示胸部主要损伤有：肺挫伤10例（55.56%）,血胸及肋骨骨折各9例（50%）,气胸8例（44.44%）,锁骨骨折6例（33.33%）。CT增强扫描诊断心脏大血管损伤7例,其中锁骨下动脉假性动脉瘤3例,胸主动脉假性动脉瘤2例,胸主动脉夹层和心包破裂各1例。CT增强扫描结果与手术、临床随访结果相吻合。结论：64层螺旋CT增强扫描是全面而准确地诊断急诊胸部创伤的重要影像技术,可以对CT平扫不能确定的心脏、大血管的损伤情况作出明确判断,对临床救治方案的早期确定具有重要的指导意义。     

36 例急性Stanford A 型主动脉夹层动脉瘤的外科治疗体会

目的:总结急性Stanford A型主动脉夹层动脉瘤的外科治疗体会。方法:选择36例急性Stanford A型主动脉夹层动脉瘤患者,根据病变夹层破口的位置、累及范围、有无合并主动瓣关闭不全选择相应的手术方式,观察患者治疗后的临床疗效并随访治疗6个月后的临床预后。结果:3例患者术中死亡,术中死亡率为8.3%,平均手术时间156.7±56.7min,平均阻断时间98.5±32.7min,平均选择性脑灌注时间56.1±20.7min,术后平均ICU住院时间6.2±3.8d,术后平均总计住院时间25.4±7.3d;术后6个月后随访,3例患者死亡,其余30例患者恢复满意,生活质量与治疗前相比,均得到显著提高。结论:急性Stanford A型主动脉夹层动脉瘤患者应积极施行早期外科治疗,术前快速准确诊断,根据患者病情制定相应的手术方案,术后采取措施避免术后并发症。     

Stanford A型主动脉夹层血管壁及外周血中热休克蛋白90的表达及意义

目的:探索热休克蛋白90(Heat shock protein 90, HSP90)在Stanford A型主动脉夹层(Aortic dissection, AD)血管壁组织中的表达及其与平滑肌细胞(Smooth muscle cells, SMCs)表型标志物的相关性。方法:收集本院急性Stanford A型主动脉夹层患者病变主动脉壁组织和外周血标本(AD组,20例),心脏移植供体等来源的正常主动脉壁组织和外周血标本(正常组,10例);ELISA法检测血浆HSP90含量;免疫组化染色检测HSP90的表达差异及定位;Western blot检测组织标本中蛋白的表达差异;应用Spearman分析HSP90和SMCs表型标志物表达的相关性。结果:AD患者血浆中HSP90的含量显著高于正常组(142.38±40.16ng/mL vs. 54.99±24.46 ng/mL,P<0.01)。相对于正常主动脉壁组织,主动脉夹层血管壁组织中HSP90表达明显升高,且主要分布在血管壁中层细胞的胞浆中,分泌型SMCs标志物OPN的表达明显增多,而收缩型标志物α-SMA表达则显著减少。HSP90和α-SMA的蛋白表达呈负相关(R2=0.677,P<0.01),和OPN呈正相关(R²=0.572,P<0.01)。结论:主动脉夹层患者的血管壁组织及外周血中的HSP90含量明显升高,参与了主动脉夹层的发生发展。     

老年Stanford A 型主动脉夹层外科治疗*

目的:总结老年Stanford A型主动脉夹层外科治疗经验,探讨手术方式的选择,以提高手术疗效。方法:2008年9月至2011年5月对31例老年Stanford A型主动脉夹层行手术治疗,根据夹层破口位置、累及范围、主动脉根部病变情况采取相应术式,W-heat手术2例,David+全弓置换+支架象鼻术3例,Bentall+全弓置换+支架象鼻术9例,改良Wheat+全弓置换+支架象鼻术1例,升主动脉+全弓置换+支架象鼻术16例。同时行冠状动脉旁路移植术4例,心包剥脱术1例。结果:全组体外循环(221±43)min,平均心肌阻断(132±41)min,深低温停循环(47±12)min。术后并发症12例(38.7%),其中2例死亡,8例治愈(66.7%),2例术后出现肾功能衰竭家属放弃治疗。全组病人出院前复查主动脉CTA,见升主动脉、弓部人工血管血流通畅,支架位置正常,无明显移位。支架远端降主动脉假腔闭合率87.1%。随访2~35个月,术后近期死亡1例(3.2%),无再次手术者。结论:对老年StanfordA型主动脉夹层这一高危人群,术中根据其病变部位施行最佳的外科手术方式,可明显降低死亡率,改善患者预后。     

64层MSCT血管成像对婴幼儿主动脉缩窄及离断的评价

目的:评价64层螺旋CT血管成像在婴幼儿主动脉缩窄及离断诊断中的应用价值及其准确性.方法:对临床和超声怀疑主动脉缩窄的21例患儿行胸片、心脏大血管彩超及CT主动脉成像,其中5例行DSA检查,16例进行了手术治疗.CT血管重建技术包括VR、MIP、MPR及CPR等,对主动脉缩窄程度、长度、侧枝血管显示情况进行评价,并比较原始数据、VR、MPR、MIP及CPR几种后处理方式对主动脉缩窄诊断的准确性和敏感性.结果:21例患者中,19例为主动脉缩窄,2例为主动脉离断.病变部位于左锁骨下动脉远端、动脉导管开口附近20例(95.2%),正对左锁骨下动脉1例(4.8%).病变部位位于动脉导管近段2例,动脉导管附着处3例,动脉导管远段16例.多层螺旋CTA对主动脉狭窄诊断的总体准确率和敏感性均为100%,对主动脉缩窄的显示以靶血管VR最好,其次是CPR和MPR;对侧枝血管的显示以整体VR和CPR最好,其次是MIP和MPR;而整体VR和原始轴位图像对主动脉缩窄显示较差.结论:64层MSCT血管成像各种后处理技术相结合能为主动脉缩窄及离断患者提供了更多有价值的诊断信息,有助于临床术前评估和制定恰当的治疗方案.     

Computational modeling of the fluid flow in type B aortic dissection using a modified finite element embedded formulation

Biomechanics and Modeling in Mechanobiology - This work explores the use of an embedded computational fluid dynamics method to study the type B aortic dissection. The use of the proposed technique...     

Does clinical data quality affect fluid-structure interaction simulations of patient-specific stenotic aortic valve models?

Numerical models are increasingly used in the cardiovascular field to reproduce, study and improve devices and clinical treatments. The recent literature involves a number of patient-specific models replicating the transcatheter aortic valve implantation procedure, a minimally invasive treatment for high-risk patients with aortic diseases. The representation of the actual patient’s condition with truthful anatomy, materials and working conditions is the first step toward the simulation of the clinical procedure.The aim of this work is to quantify how the quality of routine clinical data, from which the patient-specific models are built, affects the outputs of the numerical models representing the pathological condition of stenotic aortic valve.Seven fluid–structure interaction (FSI) simulations were performed, completed with a sensitivity analysis on patient-specific reconstructed geometries and boundary conditions. The structural parts of the models consisted of the aortic root, native tri-leaflets valve and calcifications. Ventricular and aortic pressure curves were applied to the fluid domain.The differences between clinical data and numerical results for the aortic valve area were less than 2% but reached 12% when boundary conditions and geometries were changed. The difference in the aortic stenosis jet velocity between measured and simulated values was less than 11% reaching 27% when the geometry was changed. The CT slice thickness was found to be the most sensitive parameter on the presented FSI numerical model.In conclusion, the results showed that the segmentation and reconstruction phases need to be carefully performed to obtain a truthful patient-specific domain to be used in FSI analyses.     

Numerical investigation of mass transport through patient-specific deformed aortae

Blood flow in human arteries has been investigated using computational fluid dynamics tools. This paper considers flow modeling through three aorta models reconstructed from cross-sectional magnetic resonance scans of female patients. One has the normal control configuration, the second has elongation of the transverse aorta, and the third has tortuosity of the aorta with stenosis. The objective of this study is to determine the impact of aortic abnormal geometries on the wall shear stress (WSS), luminal surface low-density lipoproteins (LDLs) concentration, and oxygen flux along the arterial wall. The results show that the curvature of the aortic arch and the stenosis have significant effects on the blood flow, and in turn, the mass transport. The location of hypoxia areas can be predicted well by ignoring the effect of hemoglobin on the oxygen transport. However, this simplification indeed alters the absolute value of Sherwood number on the wall.     

Validation of numerical flow simulations against in vitro phantom measurements in different type B aortic dissection scenarios

An aortic dissection (AD) is a serious condition defined by the splitting of the arterial wall, thus generating a secondary lumen [the false lumen (FL)]. Its management, treatment and follow-up are clinical challenges due to the progressive aortic dilatation and potentially severe complications during follow-up. It is well known that the direction and rate of dilatation of the artery wall depend on haemodynamic parameters such as the local velocity profiles, intra-luminal pressures and resultant wall stresses. These factors act on the FL and true lumen, triggering remodelling and clinical worsening. In this study, we aimed to validate a computational fluid dynamic (CFD) tool for the haemodynamic characterisation of chronic (type B) ADs. We validated the numerical results, for several dissection geometries, with experimental data obtained from a previous in vitro study performed on idealised dissected physical models. We found a good correlation between CFD simulations and experimental measurements as long as the tear size was large enough so that the effect of the wall compliance was negligible.     

Patient-specific modeling of biomechanical interaction in transcatheter aortic valve deployment

The objective of this study was to develop a patient-specific computational model to quantify the biomechanical interaction between the transcatheter aortic valve (TAV) stent and the stenotic aortic valve during TAV intervention. Finite element models of a patient-specific stenotic aortic valve were reconstructed from multi-slice computed tomography (MSCT) scans, and TAV stent deployment into the aortic root was simulated. Three initial aortic root geometries of this patient were analyzed: (a) aortic root geometry directly reconstructed from MSCT scans, (b) aortic root geometry at the rapid right ventricle pacing phase, and (c) aortic root geometry with surrounding myocardial tissue. The simulation results demonstrated that stress, strain, and contact forces of the aortic root model directly reconstructed from MSCT scans were significantly lower than those of the model at the rapid ventricular pacing phase. Moreover, the presence of surrounding myocardium slightly increased the mechanical responses. Peak stresses and strains were observed around the calcified regions in the leaflets, suggesting the calcified leaflets helped secure the stent in position. In addition, these elevated stresses induced during TAV stent deployment indicated a possibility of tissue tearing and breakdown of calcium deposits, which might lead to an increased risk of stroke. The potential of paravalvular leak and occlusion of coronary ostia can be evaluated from simulated post-deployment aortic root geometries. The developed computational models could be a valuable tool for pre-operative planning of TAV intervention and facilitate next generation TAV device design.     

Multi-modality image-based computational analysis of haemodynamics in aortic dissection

Aortic dissection is a disease whereby an injury in the wall of the aorta leads to the creation of a true lumen and a false lumen separated by an intimal flap which may contain multiple communicating tears between the lumina. It has a high associated morbidity and mortality, but at present, the timing of surgical intervention for stable type B dissections remains an area of debate. Detailed knowledge of haemodynamics may yield greater insight into the long-term outcomes for dissection patients by providing a greater understanding of pressures, wall shear stress and velocities in and around the dissection. In this paper, we aim to gather further insight into the complex haemodynamics in aortic dissection using medical imaging and computational fluid dynamics modelling. Towards this end, several computer models of the aorta of a patient presenting with an acute Stanford type B dissection were created whereby morphometric parameters related to the dissection septum were altered, such as removal of the septum, and the variation of the number of connecting tears between the lumina. Patient-specific flow data acquired using 2D PC-MRI in the ascending aorta were used to set the inflow boundary condition. Coupled zero-dimensional (Windkessel) models representing the distal vasculature were used to define the outlet boundary conditions and tuned to match 2D PC-MRI flow data acquired in the descending aorta. Haemodynamics in the dissected aorta were compared to those in an equivalent ‘healthy aorta’, created by virtually removing the intimal flap (septum). Local regions of increased velocity, pressure, wall shear stress and alterations in flow distribution were noted, particularly in the narrow true lumen and around the primary entry tear. The computed flow patterns compared favourably with those obtained using 4D PC-MRI. A lumped-parameter heart model was subsequently used to show that in this case there was an estimated 14 % increase in left ventricular stroke work with the onset of dissection. Finally, the effect of secondary connecting tears (i.e. those excluding the primary entry and exit tears) was also studied, revealing significant haemodynamic changes when no secondary tears are included in the model, particularly in the true lumen where increases in flow over \(+200\,\%\) and drops in peak pressure of 18 % were observed.     

3-D numerical simulation of blood flow through models of the human aorta

A Spiral Computerized Tomography (CT) scan of the aorta were obtained from a single subject and three model variations were examined. Computational fluid dynamics modeling of all three models showed variations in the velocity contours along the aortic arch with differences in the boundary layer growth and recirculation regions. Further down-stream, all three models showed very similar velocity profiles during maximum velocity with differences occurring in the decelerating part of the pulse. Flow patterns obtained from transient 3-D computational fluid dynamics are influenced by different reconstruction methods and the pulsatility of the flow. Caution is required when analyzing models based on CT scans.     

Unstructured hexahedral mesh generation of complex vascular trees using a multi-block grid-based approach

The trend towards realistic numerical models of (pathologic) patient-specific vascular structures brings along larger computational domains and more complex geometries, increasing both the computation time and the operator time. Hexahedral grids effectively lower the computational run time and the required computational infrastructure, but at high cost in terms of operator time and minimal cell quality, especially when the computational analyses are targeting complex geometries such as aneurysm necks, severe stenoses and bifurcations. Moreover, such grids generally do not allow local refinements. As an attempt to overcome these limitations, a novel approach to hexahedral meshing is proposed in this paper, which combines the automated generation of multi-block structures with a grid-based method. The robustness of the novel approach is tested on common complex geometries, such as tree-like structures (including trifurcations), stenoses, and aneurysms. Additionally, the performance of the generated grid is assessed using two numerical examples. In the first example, a grid sensitivity analysis is performed for blood flow simulated in an abdominal mouse aorta and compared to tetrahedral grids with a prismatic boundary layer. In the second example, the fluid–structure interaction in a model of an aorta with aortic coarctation is simulated and the effect of local grid refinement is analyzed.