MRI Biomarkers in Assessing Articular Cartilage Health

评估关节软骨健康的 MRI 生物标志物

基本信息

  • 批准号:
    7347196
  • 负责人:
  • 金额:
    $ 23.44万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-09-10 至 2012-08-31
  • 项目状态:
    已结题

项目摘要

Magnetic resonance imaging (MRI) maintains its position as the gold standard for visualization of cartilage defects and overall assessment of cartilage morphology. However, the earliest markers of cartilage degeneration occur at the tissue level and are therefore not detectable as changes in morphology. At present, there exists no effective way to objectively assess this element of cartilage health noninvasively. The lack of quantitative measures of cartilage condition hampers treatment planning and meaningful assessment of joint injuries. Numerous MR-based methods have been proposed to noninvasively display and quantitate changes in the composition and integrity of such elements of cartilage extracellular matrix (ECM) as proteoglycan (PG) and collagen content in vivo. Among techniques that have been applied in clinical subjects, T2 MRI is sensitive to several processes involved in cartilage degeneration. Delayed Gadolinium-enhanced MRI of cartilage (dGEMRIC) provides an index that is most directly correlated to PG content, but relies on the selective uptake of intravenously administered contrast agent. T1rho MRI utilizes magnetization preparation pulses without contrast administration, to yield parametric maps that also correlate strongly with PG content. Clinical interpretation of MRI biochemical metrics is still unproven, either by clinical or by benchtop MRI-biochemistry studies. No studies have directly compared MRI measurements in the clinic (in vivo) with MRI-biochemistry-biomechanics measurements on that same tissue in the research environment (ex vivo), to build a bridge for direct translation of research results to clinical interpretation. The research here proposed will test the hypothesis that noninvasive PG-sensitive MRI in combination with water/collagen-sensitive MRI provides an early diagnostic measure of cartilage condition after acute injury and at 2 years post-injury, as an objective evaluation of joint and articular health. We propose SA1) to directly quantify the concordance between PG-sensitive in vivo clinical MRI and ex vivo MRI biochemical metrics with histochemical, biochemical, and biomechanical measurements within articular cartilage sections; SA2) to demonstrate a combination of T1rho/T2 relaxation sequence metrics as a biomarkerto assess cartilage health and mechanical function, SA3); to apply T1rho/T2 MRI clinically at time of injury as a benchmark for acute post-injury treatment effectiveness, and as a rehabilitation and outcomes measure.
磁共振成像(MRI)保持其地位作为黄金标准可视化软骨 缺损和软骨形态的总体评估。然而,最早的软骨标记 变性发生在组织水平,因此不能检测到形态学的变化。在 目前还没有有效的方法来客观地非侵入性地评估软骨健康的这种因素。 缺乏软骨状况的定量测量阻碍了治疗计划和有意义的治疗。 评估关节损伤。已经提出了许多基于MR的方法来非侵入性地显示 并定量软骨细胞外基质的这些成分的组成和完整性的变化 (ECM)以体内蛋白多糖(PG)和胶原含量为指标。在已经应用于 在临床受试者中,T2 MRI对涉及软骨退变的几个过程敏感。延迟 软骨钆增强MRI(dGEMRIC)提供了与PG最直接相关的指标 内容物,但依赖于静脉内施用的造影剂的选择性摄取。T1 rho MRI利用 无需给予对比剂的磁化准备脉冲,以产生参数图,该参数图还 与PG含量密切相关。MRI生化指标的临床解释也尚未得到证实 通过临床或台式MRI-生物化学研究。没有研究直接比较MRI测量结果 在临床(体内)中,对研究中的相同组织进行MRI-生物化学-生物力学测量 环境(离体),以建立一个桥梁,直接翻译的研究结果,以临床解释。的 本文提出的研究将检验一种假设,即非侵入性PG敏感MRI结合 水/胶原敏感MRI提供了急性损伤后软骨状况的早期诊断措施 在损伤后2年,作为关节和关节健康的客观评价。我们建议SA 1), 直接量化PG敏感的体内临床MRI和离体MRI生物化学之间的一致性 关节软骨内组织化学、生物化学和生物力学测量指标 部分; SA 2),以证明T1 rho/T2弛豫序列度量的组合作为生物标志物, 评估软骨健康和机械功能,SA 3);在损伤时临床应用T1 rho/T2 MRI, 急性损伤后治疗有效性的基准,并作为康复和结果的衡量标准。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Douglas Ray Pedersen其他文献

Douglas Ray Pedersen的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Douglas Ray Pedersen', 18)}}的其他基金

Establishing Treatments and Diagnostic Tools for Post-Traumatic OA in Vivo
在体内建立创伤后 OA 的治疗方法和诊断工具
  • 批准号:
    8539464
  • 财政年份:
    2013
  • 资助金额:
    $ 23.44万
  • 项目类别:
Establishing Treatments and Diagnostic Tools for Post-Traumatic OA in Vivo
在体内建立创伤后 OA 的治疗方法和诊断工具
  • 批准号:
    8345674
  • 财政年份:
    2012
  • 资助金额:
    $ 23.44万
  • 项目类别:
MRI Biomarkers in Assessing Articular Cartilage Health
评估关节软骨健康的 MRI 生物标志物
  • 批准号:
    7920168
  • 财政年份:
    2009
  • 资助金额:
    $ 23.44万
  • 项目类别:
MRI Biomarkers in Assessing Articular Cartilage Health
评估关节软骨健康的 MRI 生物标志物
  • 批准号:
    7677865
  • 财政年份:
    2008
  • 资助金额:
    $ 23.44万
  • 项目类别:
MRI Biomarkers in Assessing Articular Cartilage Health
评估关节软骨健康的 MRI 生物标志物
  • 批准号:
    8128417
  • 财政年份:
  • 资助金额:
    $ 23.44万
  • 项目类别:
Establishing Treatments and Diagnostic Tools for Post-Traumatic OA in Vivo
在体内建立创伤后 OA 的治疗方法和诊断工具
  • 批准号:
    8925774
  • 财政年份:
  • 资助金额:
    $ 23.44万
  • 项目类别:
Establishing Treatments and Diagnostic Tools for Post-Traumatic OA in Vivo
在体内建立创伤后 OA 的治疗方法和诊断工具
  • 批准号:
    9133275
  • 财政年份:
  • 资助金额:
    $ 23.44万
  • 项目类别:
MRI Biomarkers in Assessing Articular Cartilage Health
评估关节软骨健康的 MRI 生物标志物
  • 批准号:
    8324139
  • 财政年份:
  • 资助金额:
    $ 23.44万
  • 项目类别:

相似国自然基金

企业绩效评价的DEA-Benchmarking方法及动态博弈研究
  • 批准号:
    70571028
  • 批准年份:
    2005
  • 资助金额:
    16.5 万元
  • 项目类别:
    面上项目

相似海外基金

An innovative EDI data, insights & peer benchmarking platform enabling global business leaders to build data-led EDI strategies, plans and budgets.
创新的 EDI 数据、见解
  • 批准号:
    10100319
  • 财政年份:
    2024
  • 资助金额:
    $ 23.44万
  • 项目类别:
    Collaborative R&D
BioSynth Trust: Developing understanding and confidence in flow cytometry benchmarking synthetic datasets to improve clinical and cell therapy diagnos
BioSynth Trust:发展对流式细胞仪基准合成数据集的理解和信心,以改善临床和细胞治疗诊断
  • 批准号:
    2796588
  • 财政年份:
    2023
  • 资助金额:
    $ 23.44万
  • 项目类别:
    Studentship
Collaborative Research: SHF: Medium: A Comprehensive Modeling Framework for Cross-Layer Benchmarking of In-Memory Computing Fabrics: From Devices to Applications
协作研究:SHF:Medium:内存计算结构跨层基准测试的综合建模框架:从设备到应用程序
  • 批准号:
    2347024
  • 财政年份:
    2023
  • 资助金额:
    $ 23.44万
  • 项目类别:
    Standard Grant
Elements: CausalBench: A Cyberinfrastructure for Causal-Learning Benchmarking for Efficacy, Reproducibility, and Scientific Collaboration
要素:CausalBench:用于因果学习基准测试的网络基础设施,以实现有效性、可重复性和科学协作
  • 批准号:
    2311716
  • 财政年份:
    2023
  • 资助金额:
    $ 23.44万
  • 项目类别:
    Standard Grant
Benchmarking collisional rates and hot electron transport in high-intensity laser-matter interaction
高强度激光-物质相互作用中碰撞率和热电子传输的基准测试
  • 批准号:
    2892813
  • 财政年份:
    2023
  • 资助金额:
    $ 23.44万
  • 项目类别:
    Studentship
Collaborative Research: BeeHive: A Cross-Problem Benchmarking Framework for Network Biology
合作研究:BeeHive:网络生物学的跨问题基准框架
  • 批准号:
    2233969
  • 财政年份:
    2023
  • 资助金额:
    $ 23.44万
  • 项目类别:
    Continuing Grant
FET: Medium: Quantum Algorithms, Complexity, Testing and Benchmarking
FET:中:量子算法、复杂性、测试和基准测试
  • 批准号:
    2311733
  • 财政年份:
    2023
  • 资助金额:
    $ 23.44万
  • 项目类别:
    Continuing Grant
Establishing and benchmarking advanced methods to comprehensively characterize somatic genome variation in single human cells
建立先进方法并对其进行基准测试,以全面表征单个人类细胞的体细胞基因组变异
  • 批准号:
    10662975
  • 财政年份:
    2023
  • 资助金额:
    $ 23.44万
  • 项目类别:
Collaborative Research: BeeHive: A Cross-Problem Benchmarking Framework for Network Biology
合作研究:BeeHive:网络生物学的跨问题基准框架
  • 批准号:
    2233968
  • 财政年份:
    2023
  • 资助金额:
    $ 23.44万
  • 项目类别:
    Continuing Grant
Benchmarking Quantum Advantage
量子优势基准测试
  • 批准号:
    EP/Y004418/1
  • 财政年份:
    2023
  • 资助金额:
    $ 23.44万
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了