Quantitative Multiparametric MRI to Assess the Effect of Stem Cell Therapy on Chronic Low Back Pain
定量多参数 MRI 评估干细胞疗法对慢性腰痛的效果
基本信息
- 批准号:10689204
- 负责人:
- 金额:$ 71.62万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-08-01 至 2025-07-31
- 项目状态:未结题
- 来源:
- 关键词:Absenteeism at workAgingAmericanAnatomyBack PainBiologyChemicalsChronic low back painClinicalCompensationConsumptionDataDehydrationDetectionDevelopmentDiagnosisDiagnostic ProcedureDiffusionDimensionsFamily suidaeGoalsGrantHeightHumanImageImaging TechniquesImmobilizationIndividualInjectionsIntervertebral disc structureLongitudinal StudiesLow Back PainMagnetic Resonance ImagingMapsMeasuresMedicalMesenchymal Stem CellsMetabolismMethodsMiniature SwineModelingMolecularMonitorMorbidity - disease rateMotionNatureOccupationsOperative Surgical ProceduresPainPathologicPatientsPhysiciansProcessPropertyProtonsPublishingReproducibilityScanningSourceSpinal FusionSystemT2 weighted imagingTechniquesTherapeutic EffectTimeTissuesUnited StatesVertebral columnWateraccurate diagnosisbone marrow mesenchymal stem cellcardiovascular imagingdata acquisitiondisabilitydisc regenerationhealthy volunteerimaging modalityimprovedintervertebral disk degenerationmolecular markermultitasknew therapeutic targetnucleus pulposuspain patientpain reliefporcine modelreconstructionsolutestem cell therapystem cellstargeted treatmenttooltreatment response
项目摘要
PROJECT SUMMARY
The goal of the proposed project is to develop multiparametric mapping magnetic resonance imaging (MRI)
techniques to assess the effect of stem cell therapy on Intervertebral Disc (IVD) degeneration, a major source
of chronic low back pain (LBP). LBP is a common cause of morbidity and disability, and the most common
cause of job-related disability and a leading contributor to missed work in the United States. If a patient with
LBP has several degenerate discs, further examination is required to determine which disc is the source of
pain, prior to a decision of medical treatment or surgical intervention. However, there are no diagnostic
methods in clinical use that help to differentiate between a pathologically painful and an aging disc. On the
other hand, there are no good surgical solutions for patients suffering from chronic LBP as they failed to show
long term pain relief compared to conservative treatment. A potential alternative approach to surgical
procedures is the use of injected stem cells as a potential treatment to regenerate the discs, which have shown
promising therapeutic effects in several recent studies. In this proposal, we hypothesize that a combination of
multiple MR parameters T1, T2, T1ρ, ADC, and qCEST can detect painful discs and quantitatively measure the
effect of mesenchymal stem cells (MSCs) injection to degenerate discs on LBP better than any single MR
parameter. In Aim 1, we will develop a highly efficient and simultaneous multiparametric mapping approach for
T1, T2, T1ρ, ADC, and CEST quantification. The centerpiece of the technical development is our newly
developed Multitasking framework, published in Nature BME in 2018, which allows motion compensated,
highly efficient, simultaneous, multiparametric mapping using low rank tensor reconstruction, taking advantage
of the vast data redundancy among multiple time dimensions. We have applied the technique to quantitative
cardiovascular and body imaging with excellent results. In Aim 2, we will validate that multiparametric
mappings are better associated with molecular pain markers than any individual parameters alone and can
detect the therapeutic effect of MSC injection in a minipig model of disc degeneration. Successful completion
of this project has the potential to make major impact on the way we diagnose and treat chronic LBP.
Multiparametric quantification MRI will provide a reliable and noninvasive tool for LBP detection and guide
physicians which discs to treat. It could also be used to monitor the therapeutic effect of various stem cell
injections, or other disc-targeted therapies that are currently in development.
项目总结
拟议项目的目标是开发多参数标测磁共振成像(Mri)。
评估干细胞疗法对主要来源--椎间盘退变的影响的技术
慢性下腰痛(LBP)。LBP是导致疾病和残疾的常见原因,也是最常见的
与工作相关的残疾的原因,也是美国缺勤的主要原因。如果一名患者患有
LBP有几个退化的盘,需要进一步检查才能确定哪个盘是
疼痛,在决定进行内科治疗或外科手术之前。然而,目前还没有诊断出
有助于区分病理性疼痛和老化的椎间盘的临床使用方法。论
另一方面,慢性下腰痛患者没有很好的手术治疗方案,因为他们没有表现出
与保守治疗相比,长期缓解疼痛。一种潜在的外科手术替代方法
手术是使用注射的干细胞作为一种潜在的治疗方法来再生椎间盘,这已经表明
在最近的几项研究中显示了良好的治疗效果。在这项提案中,我们假设
多个MR参数T1、T2、T1、ρ、ADC和QCEST可以检测出疼痛的椎间盘并定量测量
骨髓间充质干细胞(MSCs)注射治疗退变腰椎间盘的效果优于单一MR
参数。在目标1中,我们将开发一种高效且同时的多参数映射方法
T1、T2、T1ρ、ADC和CEST量化。技术发展的核心是我们的新技术
开发的多任务框架,于2018年发表在自然BME上,允许运动补偿,
使用低秩张量重建的高效、同时、多参数映射,利用
多个时间维度之间的海量数据冗余。我们已经将该技术应用于定量
心血管和身体成像,效果极佳。在目标2中,我们将验证多参数
与任何单独的参数相比,映射与分子疼痛标记的关联更好,并且可以
检测骨髓间充质干细胞注射对小型猪椎间盘退变的治疗作用。成功完成
这一项目的进展有可能对我们诊断和治疗慢性LBP的方式产生重大影响。
多参数定量MRI将为LBP的检测和引导提供可靠的、非侵入性的工具
内科医生对哪些椎间盘进行治疗。它还可用于监测各种干细胞的治疗效果。
注射,或目前正在开发的其他盘靶向疗法。
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Chemical exchange saturation transfer fingerprinting for exchange rate quantification.
- DOI:10.1002/mrm.27363
- 发表时间:2018-10
- 期刊:
- 影响因子:3.3
- 作者:Zhou Z;Han P;Zhou B;Christodoulou AG;Shaw JL;Deng Z;Li D
- 通讯作者:Li D
Quantitative chemical exchange saturation transfer MRI of intervertebral disc in a porcine model.
- DOI:10.1002/mrm.26457
- 发表时间:2016-12
- 期刊:
- 影响因子:3.3
- 作者:Zhou Z;Bez M;Tawackoli W;Giaconi J;Sheyn D;de Mel S;Maya MM;Pressman BD;Gazit Z;Pelled G;Gazit D;Li D
- 通讯作者:Li D
Stem Cells and Exosomes: New Therapies for Intervertebral Disc Degeneration.
- DOI:10.3390/cells10092241
- 发表时间:2021-08-29
- 期刊:
- 影响因子:6
- 作者:Krut Z;Pelled G;Gazit D;Gazit Z
- 通讯作者:Gazit Z
Detection of low back pain using pH level-dependent imaging of the intervertebral disc using the ratio of R1ρ dispersion and -OH chemical exchange saturation transfer (RROC).
- DOI:10.1002/mrm.25186
- 发表时间:2015-03
- 期刊:
- 影响因子:3.3
- 作者:Liu Q;Tawackoli W;Pelled G;Fan Z;Jin N;Natsuaki Y;Bi X;Gart A;Bae H;Gazit D;Li D
- 通讯作者:Li D
Whole-brain steady-state CEST at 3 T using MR Multitasking.
- DOI:10.1002/mrm.29109
- 发表时间:2022-05
- 期刊:
- 影响因子:3.3
- 作者:Han, Pei;Cheema, Karandeep;Lee, Hsu-Lei;Zhou, Zhengwei;Cao, Tianle;Ma, Sen;Wang, Nan;Han, Hui;Christodoulou, Anthony G.;Li, Debiao
- 通讯作者:Li, Debiao
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Debiao Li其他文献
Debiao Li的其他文献
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