Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Elucid Bioimaging Inc., Boston, MA, United States.
KTH Solid Mechanics, Department of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden.
J Mech Behav Biomed Mater. 2022 Oct;134:105403. doi: 10.1016/j.jmbbm.2022.105403. Epub 2022 Aug 27.
Rupture of unstable atherosclerotic plaques with a large lipid-rich necrotic core and a thin fibrous cap cause myocardial infarction and stroke. Yet it has not been possible to assess this for individual patients. Clinical guidelines still rely on use of luminal narrowing, a poor indicator but one that persists for lack of effective means to do better. We present a case study demonstrating the assessment of biomechanical indices pertaining to plaque rupture risk non-invasively for individual patients enabled by histologically validated tissue characterization.
Routinely acquired clinical images of plaques were analyzed to characterize vascular wall tissues using software validated by histology (ElucidVivo, Elucid Bioimaging Inc.). Based on the tissue distribution, wall stress and strain were then calculated at spatial locations with varied fibrous cap thicknesses at diastolic, mean and systolic blood pressures.
The von Mises stress of 152 [131, 172] kPa and the equivalent strain of 0.10 [0.08, 0.12] were calculated where the fibrous cap thickness was smallest (560 μm) (95% CI in brackets). The stress at this location was at a level predictive of plaque failure. Stress and strain at locations with larger cap thicknesses were calculated to be lower, demonstrating a clinically relevant range of risk levels.
Patient specific tissue characterization can identify distributions of stress and strain in a clinically relevant range. This capability may be used to identify high-risk lesions and personalize treatment decisions for individual patients with cardiovascular disease and improve prevention of myocardial infarction and stroke.
不稳定的动脉粥样硬化斑块破裂,伴有大的富含脂质的坏死核心和薄的纤维帽,导致心肌梗死和中风。然而,目前还无法对个体患者进行评估。临床指南仍然依赖管腔狭窄,这是一个很差的指标,但由于缺乏有效的方法,这种指标仍然存在。我们提出了一个病例研究,展示了通过组织学验证的组织特征化,对个体患者的斑块破裂风险的生物力学指标进行非侵入性评估。
对常规获取的斑块临床图像进行分析,使用经过组织学验证的软件(ElucidVivo,Elucid Bioimaging Inc.)对血管壁组织进行特征化。基于组织分布,在舒张期、平均期和收缩期血压下,不同纤维帽厚度的空间位置计算壁应力和应变。
在纤维帽最薄(560μm)处计算出的 von Mises 应力为 152[131,172]kPa,等效应变 0.10[0.08,0.12]。此处的应力处于预测斑块破裂的水平。在纤维帽较厚处的位置计算出的应力和应变较低,表明存在临床相关的风险水平范围。
患者特定的组织特征化可以识别出临床相关范围内的应力和应变分布。这种能力可以用于识别高风险病变,并为心血管疾病患者的个体化治疗决策提供信息,以改善心肌梗死和中风的预防。