Three-Dimensional UTE Magnetic Resonance Imaging of the Osteochondral Junction
骨软骨连接处的三维 UTE 磁共振成像
基本信息
- 批准号:10207470
- 负责人:
- 金额:$ 16.81万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-07-01 至 2023-06-30
- 项目状态:已结题
- 来源:
- 关键词:3-DimensionalAffectAgeAmericanBlood VesselsBone MarrowBone platesCadaverCartilageClinicalClinical TreatmentConeDegenerative polyarthritisDiagnosisDiseaseEvaluationExtracellular Matrix DegradationFatty acid glycerol estersGoalsHistologyHumanImageInflammationJointsKnee jointLigamentsMagnetic Resonance ImagingMarrowMetalloproteasesMonitorMorphologyNerveOsteoclastsPathogenesisPathologicPatientsPerformancePhysiologic pulsePlayPreparationProtonsPublic HealthRadialRecoveryReference StandardsRelaxationReplacement ArthroplastyReportingResolutionRoleSamplingScanningSchemeSeriesSignal TransductionSocietiesSourceSpecimenStressSystemTechniquesTendon structureTimeTissuesUp-RegulationWeightWeight-Bearing stateWorkarthropathiesarticular cartilagebonecalcificationclinical Diagnosiscontrast imagingcostdensityhealthy volunteerimprovedin vivoin vivo imaginginterestknee replacement arthroplastyosteochondral tissuequantitative imagingradio frequencysexsubchondral bonesubstantia spongiosa
项目摘要
Abstract
Osteoarthritis (OA) is one of the most prevalent diseases in the US, affecting over 50 million Americans
with an annual cost of more than $60 billion per year. The major public health issues associated with OA are
likely to become even more important as our society ages. OA is considered a whole joint disease with
pathologic changes that often involve all of the constituent joint tissues. Of increasing interest is the region of
the osteochondral junction (OCJ), which encompasses the tissues between the deep uncalcified layers of
cartilage and the marrow spaces of the trabecular bone. It includes the deep radial uncalcified cartilage,
tidemark, calcified cartilage (CC), and subchondral bone (SCB) plate. While these tissues are avascular in the
normal joint, in OA, osteoclasts are activated and form channels through the subchondral bone plate, allowing
blood vessels and nerves to extend from the marrow into deep cartilage. This is associated with a cascade of
abnormalities, including local inflammation and upregulation of metalloproteinase activity, extracellular matrix
degradation, reduction of cartilage load-bearing capacity, and degenerative change. The OCJ may change
dramatically in OA, and these changes may be relevant in its pathogenesis. Magnetic resonance imaging
(MRI) is widely used to directly and non-invasively evaluate articular cartilage and plays an important role in
the clinical diagnosis and treatment of OA. However, MRI of the OCJ region is difficult due to the short mean
transverse relaxation times (i.e., short T2 or T2*) of deep radial uncalcified articular cartilage, calcified cartilage,
and subchondral bone, which result in little or no signal when conventional pulse sequences are used.
In this study we aim to develop 3D adiabatic inversion recovery prepared ultrashort echo time Cones (3D
IR-Cones) techniques for direct volumetric morphological imaging and quantitative mapping of the OCJ, to
validate the signal sources, and finally develop translational 3D IR-Cones techniques for OCJ imaging in vivo.
In Aim 1 we will further develop and validate 3D IR-Cones techniques for morphological and quantitative
imaging of the OCJ in osteochondral samples from cadaveric human knee joints (n=10). We will investigate the
effect of spatial resolution, long T2 suppression, RF power, and gradient strengths, as well as T1, T2*, and
proton density weightings in OCJ imaging on a 3T Bruker small-bore scanner and a clinical 3T scanner,
respectively. We will correlate morphological and quantitative Cones findings with µCT and histology. In Aim 2
we will develop translational 3D IR-Cones techniques for morphological and quantitative imaging of the OCJ in
knee joints of healthy volunteers (n=10) and patients subject to total knee replacement (n=10). The excised
osteochondral samples from relatively normal (n=10) and more degenerated regions (n=10) will be re-scanned
with clinical and 3D IR-Cones sequences, followed by µCT imaging and histology. In vivo and ex vivo 3D IR-
Cones imaging of the OCJ will be compared and correlated with µCT imaging and histology.
摘要
项目成果
期刊论文数量(32)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The effect of cartilage dehydration and rehydration on quantitative ultrashort echo time biomarkers.
- DOI:10.21037/qims-23-359
- 发表时间:2023-10-01
- 期刊:
- 影响因子:2.8
- 作者:
- 通讯作者:
Assessment of mechanical properties of articular cartilage with quantitative three-dimensional ultrashort echo time (UTE) cones magnetic resonance imaging.
- DOI:10.1016/j.jbiomech.2020.110085
- 发表时间:2020-12-02
- 期刊:
- 影响因子:2.4
- 作者:Namiranian B;Jerban S;Ma Y;Dorthe EW;Masoud-Afsahi A;Wong J;Wei Z;Chen Y;D'Lima D;Chang EY;Du J
- 通讯作者:Du J
AcidoCEST-UTE MRI Reveals an Acidic Microenvironment in Knee Osteoarthritis.
AcidoCEST-UTE MRI 显示膝骨关节炎的酸性微环境。
- DOI:10.3390/ijms23084466
- 发表时间:2022-04-18
- 期刊:
- 影响因子:5.6
- 作者:
- 通讯作者:
High contrast cartilaginous endplate imaging using a 3D adiabatic inversion-recovery-prepared fat-saturated ultrashort echo time (3D IR-FS-UTE) sequence.
- DOI:10.1002/nbm.4579
- 发表时间:2021-10
- 期刊:
- 影响因子:2.9
- 作者:Lombardi AF;Wei Z;Wong J;Carl M;Lee RR;Wallace M;Masuda K;Chang EY;Du J;Ma YJ
- 通讯作者:Ma YJ
Evaluation of enzymatic proteoglycan loss and collagen degradation in human articular cartilage using ultrashort echo time-based biomarkers: A feasibility study.
- DOI:10.1002/nbm.4664
- 发表时间:2022-05
- 期刊:
- 影响因子:2.9
- 作者:
- 通讯作者:
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Yajun Ma其他文献
Yajun Ma的其他文献
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{{ truncateString('Yajun Ma', 18)}}的其他基金
Ultrashort Echo Time Magnetic Resonance Imaging of the Lumbar Intervertebral Disc.
腰椎间盘超短回波时间磁共振成像。
- 批准号:
10446888 - 财政年份:2022
- 资助金额:
$ 16.81万 - 项目类别:
Ultrashort Echo Time Magnetic Resonance Imaging of the Lumbar Intervertebral Disc.
腰椎间盘超短回波时间磁共振成像。
- 批准号:
10600038 - 财政年份:2022
- 资助金额:
$ 16.81万 - 项目类别:
Three-Dimensional UTE Magnetic Resonance Imaging of the Osteochondral Junction
骨软骨连接处的三维 UTE 磁共振成像
- 批准号:
10058140 - 财政年份:2020
- 资助金额:
$ 16.81万 - 项目类别:
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