Genet Martin, Lee Lik Chuan, Nguyen Rebecca, Haraldsson Henrik, Acevedo-Bolton Gabriel, Zhang Zhihong, Ge Liang, Ordovas Karen, Kozerke Sebastian, Guccione Julius M
Surgery Department, University of California at San Francisco, San Francisco, California; Marie-Curie International Outgoing Fellow, Brussels, Belgium;
Surgery Department, University of California at San Francisco, San Francisco, California;
J Appl Physiol (1985). 2014 Jul 15;117(2):142-52. doi: 10.1152/japplphysiol.00255.2014. Epub 2014 May 29.
Ventricular wall stress is believed to be responsible for many physical mechanisms taking place in the human heart, including ventricular remodeling, which is frequently associated with heart failure. Therefore, normalization of ventricular wall stress is the cornerstone of many existing and new treatments for heart failure. In this paper, we sought to construct reference maps of normal ventricular wall stress in humans that could be used as a target for in silico optimization studies of existing and potential new treatments for heart failure. To do so, we constructed personalized computational models of the left ventricles of five normal human subjects using magnetic resonance images and the finite-element method. These models were calibrated using left ventricular volume data extracted from magnetic resonance imaging (MRI) and validated through comparison with strain measurements from tagged MRI (950 ± 170 strain comparisons/subject). The calibrated passive material parameter values were C0 = 0.115 ± 0.008 kPa and B0 = 14.4 ± 3.18; the active material parameter value was Tmax = 143 ± 11.1 kPa. These values could serve as a reference for future construction of normal human left ventricular computational models. The differences between the predicted and the measured circumferential and longitudinal strains in each subject were 3.4 ± 6.3 and 0.5 ± 5.9%, respectively. The predicted end-diastolic and end-systolic myofiber stress fields for the five subjects were 2.21 ± 0.58 and 16.54 ± 4.73 kPa, respectively. Thus these stresses could serve as targets for in silico design of heart failure treatments.
心室壁应力被认为是人类心脏中许多生理机制的成因,包括心室重构,而心室重构常常与心力衰竭相关。因此,使心室壁应力正常化是许多现有和新型心力衰竭治疗方法的基石。在本文中,我们试图构建人类正常心室壁应力的参考图谱,可将其用作现有和潜在新型心力衰竭治疗方法的计算机模拟优化研究的目标。为此,我们使用磁共振图像和有限元方法构建了五名正常人类受试者左心室的个性化计算模型。这些模型通过从磁共振成像(MRI)中提取的左心室容积数据进行校准,并通过与标记MRI的应变测量结果进行比较来验证(每位受试者进行950±170次应变比较)。校准后的被动材料参数值为C0 = 0.115±0.008 kPa和B0 = 14.4±3.18;主动材料参数值为Tmax = 143±11.1 kPa。这些值可为未来构建正常人类左心室计算模型提供参考。每位受试者预测的周向应变和纵向应变与测量值之间的差异分别为3.4±6.3%和0.5±5.9%。五名受试者预测的舒张末期和收缩末期肌纤维应力场分别为2.21±0.58 kPa和16.54±4.73 kPa。因此,这些应力可作为心力衰竭治疗计算机模拟设计的目标。