Automatic quantification of myocardial motion in older adults

老年人心肌运动的自动量化

• 批准号: 9789927
• 负责人: Kai Lin
• 金额: $ 7.9万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-21 至 2021-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9789927
• 关键词: Adopted; Age; Area; Artificial Intelligence; Biological Markers; Biomechanics; C-reactive protein; Cardiac; Cardiomyopathies; Cardiovascular Diseases; Cardiovascular system; Chicago; Cine Magnetic Resonance Imaging; Clinical; Clinical Research; Comorbidity; Coronary; Coronary Arteriosclerosis; Data; Data Set; Development; Diabetes Mellitus; Diagnosis; Disease; Echocardiography; Elderly; Event; Functional disorder; Funding; Future; Gelatinase B; Goals; Heart; Heart failure; Hypertension; Image; Impairment; Incidence; Individual; LDL Cholesterol Lipoproteins; Left; Left Ventricular Ejection Fraction; Left Ventricular Mass; Left ventricular structure; Longitudinal observational study; MRI Scans; Machine Learning; Magnetic Resonance Angiography; Magnetic Resonance Imaging; Manuals; Measures; Medicine; Methods; Motion; Myocardial; Myocardial Ischemia; Myocardial dysfunction; Myocardium; National Heart, Lung, and Blood Institute; Older Population; Outcome; Participant; Patients; Pattern; Peroxidases; Population; Prevention; Prospective Studies; Protocols documentation; Radial; Recording of previous events; Research Project Grants; Risk; Risk stratification; Scanning; Series; Smoking; Target Populations; Techniques; Testing; Thick; Time; Training; Ventricular; base; burden of illness; cardiovascular risk factor; clinical practice; coronary plaque; cost; cost effective; design; diabetic patient; follow-up; healthy aging; heart damage; human old age (65+); human subject; imaging biomarker; improved; indexing; myocardial damage; quantitative imaging; tool

Abstract Heart failure (HF) is a common condition that represents the end stage of cardiovascular diseases (CVDs) subsequent to progressing myocardial damage or ischemia. In populations at ages 65 and older, coronary artery disease (CAD) serves as the leading cause of HF. Although low left ventricular (LV) ejection fraction (EF) is a major evidence for the diagnosis of HF in clinical practice, impaired regional myocardial dysfunction is expected to present the existence of CAD in its early stage. Heart deformation analysis (HDA) is a cutting-edge myocardial motion analysis technique that is able to automatically track the myocardium borders on time frames and calculate global and regional cardiac functional and motional indices on existing cine images without extra scans. In the present study, we will use the HDA tool to analyze existing cine images of CHARISMA study. From 2009 to 2012, cardiac MRI exams (including coronary wall imaging and cine MRI at two-chamber, four-chamber and short-axis views) and concurrent tests for traditional cardiovascular risk factors were performed on 440 older participants (age: 65 - 84 years old at the time of MRI scans) without documented history of CVDs. During the present R03 project (2019-2021), CHARISMA participants would have been followed-up for 10 - 12 years. We plan to relate newly- acquired regional myocardial motion indices (displacement, velocity, strain and strain rate) to clinical outcomes, existing coronary wall measures and results of lab tests in CHARISMA datasets. We will test the overall hypothesis that regional myocardial motion indices have the potential to present cardiovascular risk in asymptomatic elderly. Three specific aims are: 1) Predict cardiovascular events using baseline regional myocardial motion indices; 2) Relate regional myocardial motion indices to MRI-derived features of coronary remodeling; and 3) Determine correlations between regional myocardial motion indices and traditional cardiovascular risk biomarkers/conditions collected in CHARISMA study. No new MRI scans or lab tests are required in this project. Through a cost-effective approach, the immediate objective of the proposed project is to evaluate the clinical value of regional myocardial motion for cardiovascular risk stratification in asymptomatic older adults, a major target population of cardiovascular prevention. This study will also help us better understand the correlations between impaired myocardial function/motion and subclinical CAD burden. Furthermore, the results will facilitate the selection of quantitative imaging biomarkers and their optimal cut-off points for predicting cardiovascular events in future clinical studies.

抽象的 心力衰竭（HF）是代表心血管疾病（CVD）的终点的常见状况 在进展心肌损伤或缺血之后。在65岁及以上的人口中 动脉疾病（CAD）是HF的主要原因。虽然低左心室（LV）射血分数 （EF）是在临床实践中诊断HF的主要证据，区域心肌功能障碍受损是 预计将在早期阶段呈现CAD的存在。 心脏变形分析（HDA）是一种尖端的心肌运动分析技术，能够 自动在时间范围内自动跟踪心肌边界并计算全球和区域心脏 现有的Cine图像的功能和动作指数无需额外扫描。在本研究中，我们将使用 HDA工具分析了现有的魅力研究的Cine图像。从2009年到2012年，心脏MRI考试 （包括冠状动脉墙成像和两腔的Cine MRI，四腔和短轴视图）和 对440名年龄较大的参与者进行了对传统心血管危险因素的同时测试（年龄：65-- MRI扫描时84岁）没有记录CVD的历史。在目前的R03项目中 （2019-2021），魅力参与者将被跟进10至12年。我们计划新近联系 获得的区域心肌运动指数（位移，速度，应变率和应变率） 结果，现有的冠状动脉墙测量和魅力数据集中实验室测试的结果。我们将测试 总体假设，区域心肌运动指数有可能出现心血管风险 无症状的老年人。三个具体目标是：1）使用基线区域预测心血管事件 心肌运动指数； 2）将区域心肌运动指数与冠状动脉的MRI衍生特征相关联 重塑； 3）确定区域心肌运动指数与传统之间的相关性 魅力研究中收集的心血管风险生物标志物/条件。 该项目不需要新的MRI扫描或实验室测试。通过一种经济有效的方法，即时 拟议项目的目的是评估区域心肌运动的临床价值 无症状老年人的心血管风险分层，这是心血管的主要目标人群 预防。这项研究还将帮助我们更好地了解心肌受损之间的相关性 功能/运动和亚临床CAD负担。此外，结果将有助于选择定量 成像生物标志物及其最佳临界点，以预测未来临床中的心血管事件 研究。