The Cardiac Atlas Project

心脏图谱项目

• 批准号: 8624979
• 负责人: Andrew D. McCulloch
• 金额: $ 47.2万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8624979
• 关键词: Adult; Adverse event; Anatomic Models; Atlases; Basic Science; Biological; Biomechanics; Biomedical Computing; Cardiac; Cardiology; Cardiovascular system; Caring; Characteristics; Child; Childhood; Clinical; Clinical Data; Clinical Markers; Clinical Research; Collaborations; Common Ventricle; Complex; Computational Biology; Computer Simulation; Congenital Abnormality; Congenital Heart Defects; Data; Data Analyses; Data Set; Data Sources; Databases; Descriptor; Dilatation - action; Disease; Failure; Functional disorder; Geometry; Goals; Heart; Heart failure; Image; Incidence; Individual; Left; Left ventricular structure; Liquid substance; Magnetic Resonance Imaging; Mechanics; Medical; Medical Imaging; Medical Informatics; Modality; Modeling; Motion; National Heart, Lung, and Blood Institute; Onset of illness; Operative Surgical Procedures; Pathology; Patients; Pediatric Hospitals; Physiology; Population; Population Group; Procedures; Protocols documentation; Radiology Specialty; Request for Proposals; Research Infrastructure; Research Personnel; Resources; Right ventricular structure; Risk; Shapes; Simulate; Statistical Models; Stress; Structure; Technology; Time; Training and Education; Translations; Ventricular; Work; base; cohort; congenital heart disorder; data modeling; data sharing; emerging adult; improved; indexing; insight; programs; public health relevance; tool; web-accessible

DESCRIPTION (provided by applicant): Cardiac malformations are the most common type of birth defect. Improvements in the management of complex congenital heart disease (CHD) have resulted in >90% of those born with CHD now able to survive into early adulthood. In the U.S. alone, there are more adults with CHD (~1 million individuals) than children. Many of these patients are at risk of ventricular dilatation and dysfunction especially those with a functional single ventricle. Predicting those patients who will develop maladaptive remodeling and when is difficult, but there is a wealth of potentially valuable information available in medical images, especially longitudinal MRI exams. The goal of this project is to identify new early markers of compensatory or maladaptive remodeling in CHD patients with single ventricle physiology using atlas-based MR image-derived parametric models of ventricular shape and biomechanics, and to deploy these models and data via the "Cardiac Atlas Project" (CAP) database. CAP is a worldwide consortium and online resource for integrating and sharing cardiac imaging examinations, together with parametric model-derived functional analyses and associated clinical information. Our multi-disciplinary team of experts in pediatric cardiology, medical imaging, computational modeling and medical informatics aims to extend this resource to patients with CHD and use the models to identify early geometric and biomechanical predictors of maladaptive remodeling and heart failure. The project will develop computational modeling tools to facilitate statistical analysis across population groups of regional heart shape and mechanical characteristics. The models and associated ontological schema will also facilitate data fusion between different imaging protocols and modalities. This project will be a collaboration with iDASH (Integrating Data for Analysis, Anonymization, and Sharing), a National Center for Biological Computing at UCSD, and will use and extend the data-sharing infrastructure developed by iDASH. The specific aims are: (1) To create a database of 60 single ventricle pathologies including some with longitudinal follow-ups. Existing CAP and iDASH infrastructure will be extended to accommodate longitudinal data from CHD patients, to enable insights into the progression of disease and the onset of failure; (2) To identify shape correlates of mechanical dysfunction in single ventricle CHD by developing atlas-based image- derived statistical models of ventricular geometry, wall motion and changes over time; (3) To use the new atlas-based models of CHD to implement computational simulations of cardiac mechanics and fluid structure interactions in these pathologies to derive potential early markers of maladaptive remodeling. This work will have a significant impact on congenital cardiology by providing non-invasive analyses of regional shape, mechanics and bloodflow. If successful, the requirement for additional invasive procedures, which have increased risk of adverse events, could be substantially reduced. A web-accessible database will also facilitate education and training in cardiology, radiology, physiology and computational biology.

描述（由申请人提供）：心脏畸形是最常见的出生缺陷类型。复杂先天性心脏病 (CHD) 治疗的改进使得超过 90% 的先天性心脏病出生患者现在能够存活到成年早期。仅在美国，患有 CHD 的成年人（约 100 万人）就比儿童还要多。其中许多患者面临心室扩张和功能障碍的风险，尤其是那些具有功能性单心室的患者。预测哪些患者会发生适应重塑不良以及何时发生是很困难的，但医学图像（尤其是纵向 MRI 检查）中提供了大量潜在有价值的信息。该项目的目标是使用基于图谱的 MR 图像衍生的心室形状和生物力学参数模型，识别单心室生理学先心病患者代偿性或适应不良重塑的新早期标志物，并通过“心脏图谱项目”(CAP) 数据库部署这些模型和数据。 CAP 是一个全球联盟和在线资源，用于集成和共享心脏成像检查以及参数模型衍生的功能分析和相关临床信息。我们的儿科心脏病学、医学影像学、计算模型和医学信息学多学科专家团队旨在将这一资源扩展到先心病患者，并使用这些模型来识别适应不良重塑和心力衰竭的早期几何和生物力学预测因子。 该项目将开发计算建模工具，以促进跨人群区域心脏形状和机械特征的统计分析。模型和相关的本体模式还将促进不同成像协议和模式之间的数据融合。该项目将与加州大学圣地亚哥分校国家生物计算中心 iDASH（集成数据分析、匿名化和共享）合作，并将使用和扩展 iDASH 开发的数据共享基础设施。 具体目标是： (1) 创建一个包含 60 个单心室病理的数据库，其中包括一些具有纵向随访的数据库。现有的 CAP 和 iDASH 基础设施将得到扩展，以适应 CHD 患者的纵向数据，从而深入了解疾病的进展和失败的发生； (2) 识别形状相关性 通过开发基于图集的图像衍生的心室几何形状、室壁运动和随时间变化的统计模型，研究单心室冠心病的机械功能障碍； (3) 使用新的基于图谱的 CHD 模型对这些病理中的心脏力学和流体结构相互作用进行计算模拟，以得出适应不良重塑的潜在早期标志物。 这项工作将通过提供区域形状、力学和血流的非侵入性分析来对先天性心脏病学产生重大影响。如果成功，可以大大减少对额外侵入性手术的需求，因为这些手术会增加不良事件的风险。可通过网络访问的数据库还将促进心脏病学、放射学、生理学和计算生物学方面的教育和培训。