Hip Chondromics: Comprehensive Cartilage Characterization with MR Fingerprinting

髋关节软骨组学：利用 MR 指纹图谱进行综合软骨表征

基本信息

批准号：
10201516
负责人：
Riccardo Lattanzi
金额：
$ 56.19万
依托单位：
NEW YORK UNIVERSITY SCHOOL OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-09-15 至 2023-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10201516
关键词：
3-Dimensional Address Anatomy Arthrography Arthroscopy Articular Range of Motion Biochemical Biological Markers Brain Cartilage Chronic Kidney Failure Classification Clinical Clinical Management Clinical assessments Collagen Contrast Media Degenerative polyarthritis Detection Diagnostic Diffusion Discrimination Early Diagnosis Effectiveness Evaluation Exercise Femur Fingerprint Functional disorder Gadolinium Goals Head and neck structure Hip Joint Hip Osteoarthritis Hip Prosthesis Hip region structure Image Injections Joints Knee Lead Left Lesion Longitudinal Studies Magnetic Resonance Magnetic Resonance Imaging Maps Measurement Measures Mechanics Methods Monitor Morphology Operative Surgical Procedures Outcome Pain-Free Pathologic Patient Selection Patients Physiologic pulse Procedures Prognosis Prognostic Factor Proteoglycan Reproducibility Research Resolution Risk Roentgen Rays Scanning Scheme Secondary to Severities Software Tools Staging Standardization Structural defect Structure System Techniques Technology Testing Time Translating United States Validation Visualization Water Work acetabulum articular cartilage automated segmentation base cartilage degradation cartilage repair clinical outcome measures clinical translation cost data visualization hip replacement arthroplasty improved in vivo novel preservation prevent quantitative imaging rapid technique reconstruction response simulation software development success validation studies

项目摘要

Project Summary/Abstract Hip Chondromics: comprehensive cartilage characterization with MR fingerprinting Femoroacetabular impingement (FAI) is a pathologic condition in which structural abnormalities of the femoral head-neck junction and/or acetabulum lead to a mechanical blockage in the hip joint that compromises the terminal range of motion. If the impingement is left untreated, it can cause cartilage damage and lead to hip osteoarthritis. The goal of this project is to demonstrate the utility of multi-parametric quantitative magnetic resonance (MR) imaging for the clinical management of FAI and to develop the technology necessary to translate it into clinical routine. We will conduct a longitudinal study using intraoperative cartilage assessment and clinical outcome measures to show, for the first time, that a combination of dGEMRIC (i.e., cartilage T1 mapping in the presence of gadolinium contrast agent) and T2 mapping can identify prognostic factors associated with successful FAI arthroscopy and improve surgical patient selection. Concurrently, we will develop a method to map multiple MR parameters simultaneously in one single scan and enable comprehensive morphologic and biochemical characterization of the hip cartilage without exogenous contrast agents (i.e., “Hip Chondromics”). This new technique will employ concepts from magnetic resonance fingerprinting (MRF) to create B1 insensitive 3D multi-parametric maps with isotropic resolution in clinically feasible scan time. In particular, we will develop a new strategy to simultaneously quantify T1, T2 and magnetization transfer (MT) rate using MR fingerprints, since the combination of these three parameters has demonstrated a strong correlation (r2 > 0.8) with direct measurements of cartilage biochemical components. To facilitate clinical translation of quantitative MR parameters in FAI, we will also develop and disseminate new software tools for automated segmentation of the hip cartilage, extraction of relevant diagnostic measures and optimized data visualization. Our technique will enable accurate preoperative assessment of articular cartilage damage, predict risk for progression, identify patients who will benefit from arthroscopy, and monitor the effectiveness of joint preserving surgeries, as well as cartilage repair procedures, in preventing hip osteoarthritis. Successful completion of this project will provide a new classification system for articular cartilage lesions in the hip, based on quantitative MR imaging, which is intrinsically more sensitive to early cartilage damage than standard X-ray and magnetic resonance imaging. Our proposed MRF technique will enable in vivo rapid volumetric multi-parametric mapping that could also have an impact for quantitative imaging in other anatomical structures such as, for example, the brain.

项目概要/摘要髋关节软骨组学：通过 MR 指纹识别全面软骨表征股骨髋臼撞击症（FAI）是一种病理状况，其中股骨结构异常头颈连接处和/或髋臼导致髋关节机械阻塞，从而损害髋关节如果不及时治疗撞击，可能会导致软骨损伤并导致髋关节损伤。该项目的目标是证明多参数定量磁力的实用性。磁共振 (MR) 成像用于 FAI 的临床管理并开发必要的技术我们将利用术中软骨评估进行纵向研究。和临床结果测量首次表明 dGEMRIC（即软骨 T1 存在钆造影剂的情况下进行测绘）和 T2 测绘可以识别预后因素同时，我们将与 FAI 关节镜手术的成功相关并改善手术患者的选择。开发一种在一次扫描中同时映射多个 MR 参数的方法，并启用无需外源对比即可对髋关节软骨进行全面的形态学和生化表征这项新技术将采用磁共振的概念。指纹识别 (MRF)，用于在临床中创建具有各向同性分辨率的 B1 不敏感 3D 多参数图特别是，我们将开发一种新策略来同时量化 T1、T2 和使用 MR 指纹的磁化转移 (MT) 速率，因为这三个参数的组合证明与软骨生化成分的直接测量有很强的相关性（r2 > 0.8）。促进 FAI 中定量 MR 参数的临床转化，我们还将开发和传播新的用于自动分割髋关节软骨、提取相关诊断措施和优化的数据可视化。我们的技术将能够对关节软骨进行准确的术前评估。损伤，预测进展风险，识别将从关节镜检查中受益的患者，并监测保留关节的手术以及软骨修复手术在预防髋关节损伤方面的有效性该项目的成功完成将为关节病提供一个新的分类系统。基于定量 MR 成像的髋部软骨病变，本质上对早期诊断更敏感我们提出的 MRF 技术将比标准 X 射线和磁共振成像减少软骨损伤。实现体内快速体积多参数映射，这也可能对定量产生影响其他解剖结构（例如大脑）的成像。