NCT03288909Unknown不适用
Ultra High Field Magnetic Resonance Imaging as a Biomarker for Premotor Parkinson's Disease
适应症
试验速览
- 阶段
- 不适用
- 入组人数
- 18
- 试验地点
- 1
- 主要终点
- Quantitative signal analysis of nigrosome 1
研究概览
简要总结
This is a prospective observational study investigating the utility of 7 Tesla MRI to quantify nigrosome1 signal in a cohort of individuals with recent onset Parkinson's disease and in at-risk cohorts at a premotor state of Parkinson's disease.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Idiopathic Parkinson's disease within 1 year of motor symptom onset. Idiopathic REM sleep behavior disorder without signs/symptoms of Parkinson's disease.
- •Age-matched controls.
排除标准
- •Atypical Parkinsonism
- •Contraindications for MRI
结局指标
主要结局
Quantitative signal analysis of nigrosome 1
时间窗: 1 year
次要结局
- Change in quantitative signal analysis of nigrosome 1(3 years)
研究者
Matthew Brodsky
Associate Professor of Neurology
Oregon Health and Science University
研究点 (1)
Loading locations...
相似试验
终止
不适用
Ultra High Field MRI and MRS Techniques in Diagnosing Breast CancerBreast CancerNCT01938651Vanderbilt-Ingram Cancer Center3
终止
不适用
Quantitative MRI in Assessing Disease in Patients With Brain TumorsTumors Metastatic to BrainUnspecified Adult Solid Tumor, Protocol SpecificNCT02269111Vanderbilt-Ingram Cancer Center10
Unknown
不适用
The Usage of High-resolution Magnetic Resonance Imaging in Patients With Disorders of Consciousness for Early DiagnosisHigh-resolution Magnetic Resonance Imaging Disorders of ConsciousnessNCT03475511First Affiliated Hospital of Zhejiang University60
招募中
不适用
Evaluation of Ultrahigh-Field-MRI at 7 Tesla for Imaging of ischemic lesions, carotid plaque morphology and brain perfusion - 7 UPI63.9I65.2Cerebral infarction, unspecifiedOcclusion and stenosis of carotid arteryDRKS00003193Charité Campus Charité Mitte100
已完成
不适用
Magnetic Resonance Imaging in the Evaluation of Liver FibrosisLiver FibrosisNCT01572064University of Nottingham134
