Imaging Biomarkers for Parkinson's Disease using 7 Tesla MRI
使用 7 特斯拉 MRI 对帕金森病的生物标志物进行成像
基本信息
- 批准号:7848815
- 负责人:
- 金额:$ 18.75万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-06-01 至 2012-05-31
- 项目状态:已结题
- 来源:
- 关键词:AffectAge-YearsAlgorithmsArtsAttentionBiological MarkersBrainCartilageCell NucleusClinicalClinical ResearchCross-Sectional StudiesDatabasesDetectionDevelopmentDiagnosisDiseaseDisease ProgressionEarly DiagnosisEarly treatmentElderlyEnsureEtiologyFutureGoalsHealthcare SystemsImageImaging TechniquesKidneyKneeLeadLongitudinal StudiesMRI ScansMagnetic Resonance ImagingMeasurementMeasuresMethodsMonitorMorphologyMotor ManifestationsMovement DisordersNeurologicParkinson DiseasePathologyPatientsPopulationProcessPublic HealthResearchResolutionRiskSample SizeSeveritiesStagingStructureStructure-Activity RelationshipStudy SectionSymptomsTechniquesTestingTherapeutic EffectTimeUnited Statesbasecostdisabilitydisorder controldopaminergic neuronexperienceimage processingimaging Segmentationimprovedin vivoinnovationneuroprotectionpublic health relevanceradiotracertreatment effecttreatment strategyultra high resolution
项目摘要
DESCRIPTION (provided by applicant): Parkinson's disease (PD) is the most common serious movement disorder and affects over 1% of adults older than 60 years of age. In the United States alone, the total annual costs related to PD are estimated to exceed 6 billion dollars. With the increasing proportion of elderly in the population, PD represents a growing burden on our health care system. The early symptoms of PD are associated with a selective loss of dopamine neurons in the substantial nigra but the etiology of PD is unknown. Although early treatment of motor manifestations is usually quite successful, the disease continues to progress and the development of non-motor manifestations adds to disability. One strategy that is gaining increasing attention is the development of neuroprotective therapies that would slow, or halt progression. The application of neuroprotection would have maximal benefit applied early in the disease. This requires increasingly sensitive methods of detection and characterization of PD pathology. Imaging offers new opportunities for in vivo assessment of patients with PD, or at risk. In the past two decades, a number of MR imaging studies have been performed to detect changes in the morphology of deep brain nuclei associated with PD. Unfortunately, the results of these MR studies have been controversial and inconsistent, primarily because of MRI resolution limitations. Recent technical advances in 7T MR imaging now allows us to image deep brain nuclei with significantly improved contrast and resolution; thus, we are able to characterize and quantify pathological changes in these structures in PD. The primary objective of this proposal is to develop and evaluate methods for: (1) quantification and characterization of pathological changes in deep brain nuclei using 7T MRI and (2) determine the reliability of the quantification of changes over time through serial MRI scans. The rationale for this proposal is based on the fact that high resolution 7T MR imaging makes both reliable segmentation and quantification of deep brain nuclei possible as well as potentially permitting characterization of structural changes over time. This information ultimately will help advance our understanding of the progression of PD and contribute to the development new methods to monitor the effects of new therapies. This proposed research is innovative in that we have applied new 7T MR imaging and segmentation techniques which can quantify changes in deep brain nuclei morphology in association with PD. Our central hypothesis is that MR will permit a precise in vivo structural analysis of PD pathology that will correlate closely with clinical manifestations. The specific aims of this proposal are to evaluate and compare: (1) the measurement reliabilities (between and within observers) of deep brain structures in PD patients imaged with 7T MR; and (2) the differences in the deep brain structures between PD and control subjects through a cross- sectional study. A secondary exploratory aim is to measure specific structural changes (and disease progression) over time to determine the sample size required for a future longitudinal study. PUBLIC HEALTH RELEVANCE: With the significantly improved image contrast and resolution offered by 7T MR images, we will develop and optimize MR imaging techniques to allow for reliable measurement of deep brain structures in patients with Parkinson disease. This will help advance our understanding of the structure-function relationships in the disease progression of Parkinson disease.
描述(由申请人提供):帕金森病(PD)是最常见的严重运动障碍,影响超过1%的60岁以上的成年人。仅在美国,与PD相关的年度总成本估计超过60亿美元。随着人口中老年人比例的增加,帕金森病对我们的医疗保健系统构成越来越大的负担。PD的早期症状与黑质多巴胺神经元的选择性丧失有关,但PD的病因尚不清楚。虽然运动表现的早期治疗通常相当成功,但疾病继续进展,非运动表现的发展会增加残疾。一个越来越受到关注的策略是开发神经保护疗法,减缓或停止进展。在疾病早期应用神经保护将具有最大益处。这需要越来越灵敏的检测和表征PD病理的方法。成像为PD患者或有风险患者的体内评估提供了新的机会。在过去的二十年中,已经进行了大量的MR成像研究,以检测与PD相关的脑深部核团的形态学变化。不幸的是,这些MR研究的结果存在争议和不一致,主要是因为MRI分辨率的限制。7 T MR成像的最新技术进步使我们能够以显着提高的对比度和分辨率对脑深部核团进行成像;因此,我们能够表征和量化PD中这些结构的病理变化。本提案的主要目的是开发和评价以下方法:(1)使用7 T MRI定量和表征脑深部核团的病理变化,以及(2)通过连续MRI扫描确定随时间推移定量变化的可靠性。这一提议的基本原理是基于这样一个事实,即高分辨率7 T MR成像使脑深部核团的可靠分割和量化成为可能,并可能允许表征随时间推移的结构变化。这些信息最终将有助于促进我们对PD进展的理解,并有助于开发新方法来监测新疗法的效果。这项研究的创新之处在于,我们应用了新的7 T MR成像和分割技术,可以量化与PD相关的脑深部核团形态学变化。我们的中心假设是,MR将允许一个精确的体内结构分析的PD病理,将密切相关的临床表现。本提案的具体目的是评价和比较:(1)使用7 T MR成像的PD患者的深部脑结构的测量可靠性(观察者之间和观察者内部);以及(2)通过横断面研究,PD和对照受试者之间深部脑结构的差异。次要探索性目的是测量随时间推移的特定结构变化(和疾病进展),以确定未来纵向研究所需的样本量。公共卫生相关性:随着7 T MR图像提供的显着改善的图像对比度和分辨率,我们将开发和优化MR成像技术,以允许帕金森病患者的深部脑结构的可靠测量。这将有助于推进我们对帕金森病疾病进展中结构-功能关系的理解。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Dual-echo arteriovenography imaging with 7T MRI.
- DOI:10.1002/jmri.22019
- 发表时间:2010-01
- 期刊:
- 影响因子:4.4
- 作者:Bae, Kyongtae Ty;Park, Sung-Hong;Moon, Chan-Hong;Kim, Jung-Hwan;Kaya, Diana;Zhao, Tiejun
- 通讯作者:Zhao, Tiejun
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{{ truncateString('KYONGTAE T BAE', 18)}}的其他基金
Consortium for Radiologic Imaging Studies in Polycystic Kidney Disease (CRISP)
多囊肾放射影像研究联盟 (CRISP)
- 批准号:
9273112 - 财政年份:2016
- 资助金额:
$ 18.75万 - 项目类别:
Assessing Xenon CT Imaging Biomarkers in Lung Transplant Recipients
评估肺移植受者的氙气 CT 成像生物标志物
- 批准号:
8879139 - 财政年份:2014
- 资助金额:
$ 18.75万 - 项目类别:
Assessing Xenon CT Imaging Biomarkers in Lung Transplant Recipients
评估肺移植受者的氙气 CT 成像生物标志物
- 批准号:
8769552 - 财政年份:2014
- 资助金额:
$ 18.75万 - 项目类别:
Identifying CT Imaging Biomarkers Associated with Prognosis of Pulmonary Embolism
识别与肺栓塞预后相关的 CT 成像生物标志物
- 批准号:
8117504 - 财政年份:2008
- 资助金额:
$ 18.75万 - 项目类别:
Identifying CT Imaging Biomarkers Associated with Prognosis of Pulmonary Embolism
识别与肺栓塞预后相关的 CT 成像生物标志物
- 批准号:
7904135 - 财政年份:2008
- 资助金额:
$ 18.75万 - 项目类别:
Identifying CT Imaging Biomarkers Associated with Prognosis of Pulmonary Embolism
识别与肺栓塞预后相关的 CT 成像生物标志物
- 批准号:
7691282 - 财政年份:2008
- 资助金额:
$ 18.75万 - 项目类别:
Identifying CT Imaging Biomarkers Associated with Prognosis of Pulmonary Embolism
识别与肺栓塞预后相关的 CT 成像生物标志物
- 批准号:
8311726 - 财政年份:2008
- 资助金额:
$ 18.75万 - 项目类别:
DATA COORDINATING AND IMAGING ANALYSIS CENTER (DCIAC)
数据协调和成像分析中心 (DCIAC)
- 批准号:
6177799 - 财政年份:1999
- 资助金额:
$ 18.75万 - 项目类别:
DATA COORDINATING AND IMAGING ANALYSIS CENTER (DCIAC)
数据协调和成像分析中心 (DCIAC)
- 批准号:
6358219 - 财政年份:1999
- 资助金额:
$ 18.75万 - 项目类别:
DATA COORDINATING AND IMAGING ANALYSIS CENTER (DCIAC)
数据协调和成像分析中心 (DCIAC)
- 批准号:
6476242 - 财政年份:1999
- 资助金额:
$ 18.75万 - 项目类别:
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