Non-invasive hemodynamic and biomechanic imaging methods for early risk prediction in aortic dissection

用于主动脉夹层早期风险预测的非侵入性血流动力学和生物力学成像方法

• 批准号: 10716472
• 负责人: Nicholas Scott Burris
• 金额: $ 68.84万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2028-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10716472
• 关键词: 3-Dimensional; 4D MRI; Acute; Adverse event; Anatomy; Angiography; Aorta; Aortic Aneurysm; Aortic Rupture; Behavior; Biological Markers; Biomechanics; Blood flow; Cardiac; Caring; Cessation of life; Characteristics; Chest; Chronic; Chronic Phase; Clinical; Clinical Assessment Tool; Compensation; Country; Data; Development; Diameter; Disease; Disease Progression; Dissection; Emerging Technologies; Enrollment; Equilibrium; Evaluation; Evolution; Follow-Up Studies; Functional Imaging; Functional disorder; Goals; Growth; Hospitals; Image; Image Analysis; Imaging Techniques; Intervention; Life; Machine Learning; Magnetic Resonance Imaging; Maps; Measurement; Measures; Medical; Medical Imaging; Medicine; Methods; Michigan; Motivation; Operative Surgical Procedures; Outcome; Patient Recruitments; Patients; Periodicity; Phase; Physics; Play; Positioning Attribute; Process; Prognosis; Pulsatile Flow; Risk; Risk Estimate; Role; Rupture; Scanning; Statistical Models; Techniques; Technology Assessment; Time; Tissues; Unnecessary Procedures; Work; X-Ray Computed Tomography; biomedical referral center; cost; experience; follow-up; hemodynamics; high risk; imaging biomarker; imaging modality; improved; individualized medicine; innovation; longitudinal, prospective study; minimally invasive; mortality; non-invasive imaging; novel; overtreatment; patient population; personalized predictions; personalized risk prediction; predictive tools; pressure; primary outcome; prospective; repaired; risk prediction; spatiotemporal; treatment strategy

PROJECT SUMMARY/ABSTRACT Aortic dissection (AD) is a disease characterized by sudden tearing of the inner layers of the aortic wall creating a false lumen (FL) channeling aortic blood flow. The vast majority of acute AD patients survive into the chronic phase, although long-term outcomes are poor with about 50% of patients experiencing aorta-related mortality or requiring surgical repair by 10 years. A major contributor to poor long-term outcomes is growth of the FL. Thoracic endovascular aortic repair (TEVAR) is a minimally invasive surgical therapy which can halt FL growth and reduce AD mortality; however, this treatment comes with cost, risk of procedural complications, and is less effective over time owing to increased tissue stiffness. Accurate prediction of disease trajectory at early phases is limited with current metrics but is highly desirable as this would allow TEVAR to be targeted to high-risk patients in a timely manner, sparing those at lower risk from potentially unnecessary procedures. Current methods for estimating risk in AD are largely based on anatomic metrics (e.g., aortic diameter), which poorly capture functional aspects of AD. To overcome these limitations, we propose to apply advanced imaging techniques, namely 4D Flow magnetic resonance imaging (MRI) and 4D computed tomography angiography (CTA), to characterize and quantify functional processes such as FL pressure and FL wall stiffness, which elude current imaging approches and have been implicated as important factors in predicting long-term behavior of AD. We hypothesize that assessments of these functional metrics will, improve our prediction of false lumen growth rate (FLGR) compared to standard anatomic metrics. We plan to prospectively recruit patients with either uncomplicated type B (n=30) or surgically repaired type A (n=45) aortic dissection to undergo baseline 4D Flow and 4D CTA imaging in the subacute period (1-3 months post-dissection) as well as follow-up studies at 1- and 2-years post-dissection, with the primary outcome being FLGR. To achieve these goals, the Aims of this proposal are: 1) Identify baseline hemodynamic and biomechanical metrics in the subacute period of AD that predict FL growth rate over time. FL pressure will be quantified from 4D Flow MRI using indirect and direct methods based on physics-based image analysis, with regional FL wall stiffness quantified by merging FL pressure with cyclic aortic wall deformation by 4D CT; 2) Determine the trajectories of functional metrics over time that best predict progressive FL growth. Longitudinal changes in pressure and wall stiffness between baseline and 1- and 2-year follow-up scans will be assessed to identify patients who achieve a new equilibrium versus those who continue to progress; 3) Develop a clinical assessment tool to predict risk of progressive FL growth combining functional metrics, anatomic parameters and patient characteristics with a focus on simplicity and accuracy for dissection-type specific prediction of the FLGR at the earliest possible time point. This work seeks to shift the paradigm of AD assessment from pure anatomic characterization by integrating functional imaging biomarkers to provide accurate predictions of disease trajectory and allow for optimal determination of surgical candidacy and timing.

项目摘要/摘要 主动脉夹层(AD)是一种以主动脉壁内层突然撕裂为特征的疾病 引导主动脉血流的假腔(FL)。绝大多数急性AD患者存活到慢性 阶段，尽管长期结果很差，大约50%的患者经历了与主动脉相关的死亡或 需要在10年前进行手术修复。长期结果不佳的一个主要因素是FL的增长。胸腔 主动脉腔内修复术(TEVAR)是一种可以阻止FL生长和减少FL的微创外科治疗方法 AD死亡率；然而，这种治疗伴随着成本、程序并发症的风险，并且在 由于组织硬度增加而延长的时间。在早期阶段对疾病轨迹的准确预测受限于 目前的指标，但非常可取，因为这将使TEVAR能够及时针对高危患者 方式，使那些风险较低的人免于可能不必要的程序。当前的估算方法 AD的风险在很大程度上是基于解剖指标(例如，主动脉直径)，这不能很好地反映功能方面 公元一代的。为了克服这些限制，我们建议应用先进的成像技术，即4D Flow 磁共振成像(MRI)和4D计算机断层血管成像(CTA)，以表征和 量化功能过程，如FL压力和FL壁硬度，这些过程避开了电流成像方法 已被认为是预测AD长期行为的重要因素。我们假设 对这些功能指标的评估将改善我们对假腔增长率(FLGR)的预测 到标准的解剖学指标。我们计划前瞻性地招募无并发症的B型患者(n=30)。 或手术修复的A型(n=45)主动脉夹层接受基线4D血流和4D CTA成像 亚急性期(解剖后1-3个月)以及解剖后1年和2年的随访研究， 主要结果是胎盘生长迟缓。为实现这些目标，本提案的目的是：1)确定基线 AD亚急性期的血流动力学和生物力学指标可预测FL随时间的增长速度。平面 将使用基于物理图像的间接和直接方法从4D Flow MRI中量化压力 通过合并FL压力和循环主动脉壁变形来量化局部FL壁硬度 4DCT；2)确定功能指标随时间的变化轨迹，以最好地预测FL的进行性增长。 基线和1-2年随访扫描之间的压力和室壁硬度的纵向变化将是 评估以确定达到新平衡的患者与继续进步的患者；3)发展 一种结合功能指标、解剖学指标预测进行性FL生长风险的临床评估工具 参数和患者特征，侧重于简单和准确的解剖类型特定 在可能的最早时间点预测FLGR。这项工作旨在改变AD评估的范式 通过集成功能成像生物标记物提供准确的预测，从纯粹的解剖表征 疾病轨迹，并考虑到手术候选和时机的最佳确定。

项目成果

lGeneralized super-resolution 4D Flow MRI-using ensemble learning to extend across the cardiovascular system.

l 广义超分辨率 4D Flow MRI - 使用集成学习扩展到整个心血管系统。

• 发表时间: 2023
• 期刊: ArXiv
• 作者: Ericsson,Leon;Hjalmarsson,Adam;Akbar,MuhammadUsman;Ferdian,Edward;Bonini,Mia;Hardy,Brandon;Schollenberger,Jonas;Aristova,Maria;Winter,Patrick;Burris,Nicholas;Fyrdahl,Alexander;Sigfridsson,Andreas;Schnell,Susanne;Figueroa,CAlbe
• 通讯作者: Figueroa,CAlbe