Suppr超能文献

使用不同零负荷舒张和收缩形态模型对法洛四联症患者与健康者的心室应力/应变进行比较。

Ventricle stress/strain comparisons between Tetralogy of Fallot patients and healthy using models with different zero-load diastole and systole morphologies.

机构信息

School of Biological Science & Medical Engineering, Southeast University, Nanjing, China.

Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA, United States of America.

出版信息

PLoS One. 2019 Aug 14;14(8):e0220328. doi: 10.1371/journal.pone.0220328. eCollection 2019.

Abstract

Patient-specific in vivo ventricle mechanical wall stress and strain conditions are important for cardiovascular investigations and should be calculated from correct zero-load ventricle morphologies. Cardiac magnetic resonance (CMR) data were obtained from 6 healthy volunteers and 12 Tetralogy of Fallot (TOF) patients with consent obtained. 3D patient-specific CMR-based ventricle models with different zero-load diastole and systole geometries due to myocardium contraction and relaxation were constructed to qualify right ventricle (RV) diastole and systole stress and strain values at begin-filling, end-filling, begin-ejection, and end-ejection, respectively. Our new models (called 2G models) can provide end-diastole and end-systole stress/strain values which models with one zero-load geometries (called 1G models) could not provide. 2G mean end-ejection stress value from the 18 participants was 321.4% higher than that from 1G models (p = 0.0002). 2G mean strain values was 230% higher than that of 1G models (p = 0.0002). TOF group (TG) end-ejection mean stress value was 105.4% higher than that of healthy group (HG) (17.54±7.42kPa vs. 8.54±0.92kPa, p = 0.0245). Worse outcome group (WG, n = 6) post pulmonary valve replacement (PVR) begin-ejection mean stress was 57.4% higher than that of better outcome group (BG, 86.94±26.29 vs. 52.93±22.86 kPa; p = 0.041). Among 7 selected parameters, End-filling stress was the best predictor to differentiate BG patients from WG patients with prediction accuracy = 0.8208 and area under receiver operating characteristic curve (AUC) value at 0.8135 (EE stress). Large scale studies are needed to further validate our findings.

摘要

患者特定的体内心室机械壁应力和应变条件对心血管研究很重要,应从正确的零负荷心室形态中计算出来。征得同意后,从 6 名健康志愿者和 12 名法洛四联症(TOF)患者中获得心脏磁共振(CMR)数据。由于心肌收缩和松弛,构建了具有不同零负荷舒张和收缩几何形状的基于 3D 患者特定的 CMR 心室模型,以分别在开始填充、结束填充、开始射血和结束射血时对右心室(RV)舒张和收缩的应力和应变值进行定量。我们的新模型(称为 2G 模型)可以提供 1G 模型无法提供的末端舒张和末端收缩的应力/应变值。18 名参与者的 2G 平均末端射血应力值比 1G 模型高 321.4%(p = 0.0002)。2G 平均应变值比 1G 模型高 230%(p = 0.0002)。TOF 组(TG)末端射血的平均应力值比健康组(HG)高 105.4%(17.54±7.42kPa 比 8.54±0.92kPa,p = 0.0245)。6 名肺瓣置换(PVR)后预后较差组(WG)的开始射血平均应力比预后较好组(BG)高 57.4%,分别为 86.94±26.29kPa 和 52.93±22.86kPa(p = 0.041)。在 7 个选定参数中,末端填充应力是区分 BG 患者和 WG 患者的最佳预测指标,预测准确率为 0.8208,接受者操作特征曲线(AUC)值为 0.8135(EE 压力)。需要进行大规模研究进一步验证我们的发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62ef/6693773/b4a5be38624f/pone.0220328.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验