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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.

项目总结/摘要髋关节软骨病：全面的软骨表征与MR指纹股骨髋臼撞击（FAI）是一种病理状态，其中股骨结构异常头颈连接部和/或髋臼导致髋关节中的机械阻塞，终端活动范围。如果撞击不治疗，它会导致软骨损伤，并导致髋关节骨关节炎本项目的目标是展示多参数定量磁共振成像的实用性。磁共振（MR）成像用于FAI的临床管理，并开发必要的技术，将其转化为临床常规。我们将使用术中软骨评估进行纵向研究和临床结果测量首次显示，dGEMRIC（即，软骨T1 钆对比剂存在下的标测）和T2标测可以识别预后因素与成功的FAI关节镜检查相关，并改善手术患者的选择。同时，我们将开发一种方法，在一次扫描中同时映射多个MR参数，髋关节软骨的全面形态学和生化表征，无外源性造影剂代理（即，“髋关节软骨病”）。这项新技术将采用磁共振的概念指纹识别（MRF），用于在临床上创建具有各向同性分辨率的B1不敏感3D多参数标测图可行的扫描时间特别是，我们将开发一种新的策略，同时量化T1，T2和T3。磁化转移（MT）率使用MR指纹，因为这三个参数的组合，显示出与软骨生化成分的直接测量的强相关性（r2 > 0.8）。到促进FAI中定量MR参数的临床翻译，我们还将开发和传播新的用于髋关节软骨自动分割、提取相关诊断指标的软件工具，优化的数据可视化。我们的技术将使准确的术前评估关节软骨损伤，预测进展风险，识别将从关节镜手术中受益的患者，并监测关节保留手术和软骨修复手术在预防髋关节炎中的有效性骨关节炎该项目的成功完成将为关节炎提供一个新的分类体系髋关节软骨病变，基于定量磁共振成像，这是本质上更敏感的早期软骨损伤比标准的X光和磁共振成像。我们提出的MRF技术将实现体内快速体积多参数标测，在其它解剖结构例如大脑中成像。