Imaging Biomarkers of Knee Osteoarthritis
膝骨关节炎的影像生物标志物
基本信息
- 批准号:9532083
- 负责人:
- 金额:$ 60.69万
- 依托单位:
- 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:2016-08-01 至 2022-04-30
- 项目状态:已结题
- 来源:
- 关键词:3-DimensionalAffectBiochemicalBiological MarkersBiological ModelsCartilageChondroitin SulfatesClinicalClinical ProtocolsCollagenCollagen FiberCollagen Type IICommunitiesDataDegenerative polyarthritisDevelopmentDiseaseDisease ProgressionEarly DiagnosisEvaluationExtracellular MatrixFutureGoalsHealthcare SystemsHumanHydration statusImageJointsKnee InjuriesKnee OsteoarthritisLeadMagnetic Resonance ImagingMapsMeasurementMethodsMonitorMorphologyMulticenter StudiesMusculoskeletalOrganOutcomePainPathologic ProcessesPatientsPerformancePharmacologic SubstancePhysiologic pulsePopulationProteoglycanProtocols documentationRelaxationResearchResearch PersonnelRiskSamplingScanningSeverity of illnessSiteStructureT2 weighted imagingTechniquesTherapeutic AgentsTimeTissue EngineeringTissuesTranslatingTreatment EfficacyTreatment ProtocolsUnited StatesValidationWestern Ontario and McMaster Universities Arthritis Indexabsorptionarticular cartilagecartilage degradationclinical research sitecohortdata spacehealinghigh riskhigh risk populationimaging approachimaging biomarkerin vivoindexingknee painmacromoleculenon-invasive imagingnovelpersonalized medicinepre-clinicalprematurepreventreconstructionrepaired
项目摘要
PROJECT SUMMARY
Osteoarthritis (OA) is a degenerative joint disease, affecting more than 27 million people in the United States
alone. By 2030 approximately 67 million people will be affected by OA. This large affected population and the
severe consequent debility of OA lead to significant expenses to the health care system. OA is characterized
by biochemical, structural and morphologic degradation of components of the extracellular matrix (ECM) of
articular cartilage. The ECM is composed of primarily two groups of macromolecules including proteoglycan
(PG) and collagen fibers. Early diagnosis of cartilage degeneration would require the ability to non-invasively
detect changes in PG concentration and collagen integrity before morphological changes occur. T1ρ and T2
relaxation times are affected by these pathological processes and are the most widely used biochemical
cartilage MRI sequences worldwide. Several researchers have demonstrated that the T1ρ relaxation time is
more sensitive to proteoglycan content of the cartilage, while T2 relaxation time is more sensitive to collagen
orientation and integrity of network and hydration. These imaging biomarkers have potential to detect early
stages of the disease (pre-clinical), quantitatively assess disease severity, monitor disease progression and
possibly monitor OA therapy.
The overarching goal of this proposal is to develop, evaluate and translate highly accelerated 3D-T1ρ and T2
mapping (each protocol under 5 minutes) for in-vivo knee OA applications on a standard clinical 3T scanner
employing novel compressed sensing (CS) and parallel imaging (PI) strategies. The proposed accelerated 3D-
T1ρ and T2 mapping techniques can be easily incorporated into routine clinical protocols for biochemical
assessment of cartilage in addition to standard morphological evaluation and could serve as future imaging
biomarkers for disease modifying therapies for OA. The outcome of this proposed study will significantly impact
our ability for personalized treatment regimens and possibly prevent the development of premature OA. Finally,
we intend on disseminating the sequences to other academic sites for widespread implementation and future
multicenter studies.
项目概要
骨关节炎 (OA) 是一种退行性关节疾病,影响美国超过 2700 万人
仅到 2030 年,就有大约 6700 万人受到 OA 的影响。
OA 的严重后果导致医疗保健系统的巨额费用。
通过细胞外基质(ECM)成分的生化、结构和形态降解
关节软骨主要由两组大分子组成,包括蛋白聚糖。
(PG)和胶原纤维的软骨退化的早期诊断需要非侵入性的能力。
在 T1ρ 和 T2 发生形态变化之前检测 PG 浓度和胶原完整性的变化。
弛豫时间受这些病理过程的影响,是最广泛使用的生化时间
世界各地的软骨 MRI 序列 几位研究人员已经证明 T1ρ 弛豫时间为
对软骨的蛋白多糖含量更敏感,而T2弛豫时间对胶原蛋白更敏感
这些成像生物标志物有可能早期检测到网络和水合的方向和完整性。
疾病的阶段(临床前),定量评估疾病严重程度,监测疾病进展和
可能监测 OA 治疗。
该提案的总体目标是开发、评估和翻译高度加速的 3D-T1ρ 和 T2
在标准临床 3T 扫描仪上为体内膝关节 OA 应用进行绘图(每个协议不到 5 分钟)
采用新颖的压缩感知(CS)和并行成像(PI)策略所提出的加速3D-。
T1ρ 和 T2 映射技术可以轻松纳入生化的常规临床方案中
除了标准形态学评估之外,还可对软骨进行评估,并可作为未来的成像
这项拟议研究的结果将对 OA 疾病修饰疗法产生重大影响。
我们有能力制定个性化治疗方案,并可能预防过早骨关节炎的发展。
我们打算将这些序列传播到其他学术网站,以便广泛实施和未来
多中心研究。
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)
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Ravinder Regatte其他文献
Ravinder Regatte的其他文献
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{{ truncateString('Ravinder Regatte', 18)}}的其他基金
Multiparametric Mapping of Knee Joint with Magnetic Resonance Fingerprinting
膝关节磁共振指纹多参数绘图
- 批准号:
10541223 - 财政年份:2021
- 资助金额:
$ 60.69万 - 项目类别:
Multiparametric Mapping of Knee Joint with Magnetic Resonance Fingerprinting
膝关节磁共振指纹多参数绘图
- 批准号:
10115230 - 财政年份:2021
- 资助金额:
$ 60.69万 - 项目类别:
Data-Driven Learning Framework for Fast Quantitative Knee Joint Mapping
用于快速定量膝关节绘图的数据驱动学习框架
- 批准号:
10430275 - 财政年份:2021
- 资助金额:
$ 60.69万 - 项目类别:
Data-Driven Learning Framework for Fast Quantitative Knee Joint Mapping
用于快速定量膝关节绘图的数据驱动学习框架
- 批准号:
10296235 - 财政年份:2021
- 资助金额:
$ 60.69万 - 项目类别:
Intervertebral Disc Mechanics with Functional GRASP-MRI
具有功能性 GRASP-MRI 的椎间盘力学
- 批准号:
10328260 - 财政年份:2021
- 资助金额:
$ 60.69万 - 项目类别:
Rapid Quantitative Assessment of Knee Joint with Compressed Sensing
利用压缩感知对膝关节进行快速定量评估
- 批准号:
10455507 - 财政年份:2020
- 资助金额:
$ 60.69万 - 项目类别:
Rapid Quantitative Assessment of Knee Joint with Compressed Sensing
利用压缩感知对膝关节进行快速定量评估
- 批准号:
10686034 - 财政年份:2020
- 资助金额:
$ 60.69万 - 项目类别:
Rapid Quantitative Assessment of Knee Joint with Compressed Sensing
利用压缩感知对膝关节进行快速定量评估
- 批准号:
10227958 - 财政年份:2020
- 资助金额:
$ 60.69万 - 项目类别:
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