Complex Eye Movements in Parkinson's Disease and Related Movement Disorders
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 90
- 试验地点
- 1
- 主要终点
- Percent of patients accurately diagnosed with SaccadeDX
研究概览
简要总结
Diagnosing Parkinson's disease (PD) depends on the clinical history of the patient and the patient's response to specific treatments such as levodopa. Unfortunately, a definitive diagnosis of PD is still limited to post-mortem evaluation of brain tissues. Furthermore, diagnosis of idiopathic PD is even more challenging because symptoms of PD overlap with symptoms of other conditions such as essential tremor (ET) or Parkinsonian syndromes (PSs) such as progressive supranuclear palsy (PSP), multiple system atrophy (MSA), corticobasal degeneration (CBD), or vascular Parkinsonism (VaP). Based on the principle that PD and PSs affect brain areas involved in eye movement control, this trial will utilize a platform that records complex eye movements and use a proprietary algorithm to characterize PSs. Preliminary data demonstrate that by monitoring oculomotor alterations, the process can assign PD-specific oculomotor patterns, which have the potential to serve as a diagnostic tool for PD.
This study will evaluate capabilities of the process and its ability to differentiate PD from other PSs with statistical significance. The specific aims of this proposal are: To optimize the detection and analysis algorithms, and then to evaluate the process against neurological diagnoses of PD patients in a clinical study.
详细描述
In the Phase I, complex eye movements, including Fixation, Optokinetic Nystagmus (OKN), Guided Saccades, Microsaccades, Smooth Pursuit, and Pupillometry will be measured in 90 subjects (30 PD, 30 non-PD with other movement disorders (PSP, ET, CBD, etc.), and 30 normal defined as not having any symptoms of any neurological condition.) The patients will be classified according to clinical evaluations and clinical follow ups performed by Dr. Holly Shill, Director of the Lonnie and Muhammad Ali Parkinson Center at the Barrow Neurological Institute (Phoenix, AZ). A 3-way analysis will be performed to troubleshoot and optimize the detection and classification algorithms. At this stage, these results will only be used for the evaluation of the diagnostic capability of the tool and not to treat or diagnose the patient. The product is portable with the potential to be an accurate tool to diagnose PD. This tool will provide substantial support to neurologists by validating or complementing the clinical tests currently used to diagnose PD. Successful diagnosis of PD can open new avenues for diagnosing other neurological conditions.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 30 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Patients assigned to PD or non-PD group based on medical records
- •Control participants will be without previous diagnosis of a movement disorder
- •Experimental groups and normal controls matched by age and gender
排除标准
- •Severe drug/alcohol use
- •Severe medical problems (e.g. terminal cancer)
- •Macular degeneration
- •Inability to consent
- •Patients at 4 or more on the Hoehn-Yahr scale
- •Inability to complete experimental protocol
结局指标
主要结局
Percent of patients accurately diagnosed with SaccadeDX
时间窗: One test (approx. 1 hour)
The primary outcome measure will be accurate diagnosis in over 75% of patients; accuracy will be determined with statistical significance. Each eye movement test will produce a unique signature. Using a historical database and machine learning, the SaccadeDX algorithm will match the signature to a specific patient group (PD, non-PD movement disorder, control) resulting in a "SaccadeDX diagnosis". Once the patients are fully enrolled, the SaccadeDX diagnosis will be compared to the diagnosis previously made by the sub-investigator. Accurate diagnosis will be defined as a SaccadeDX diagnosis that matches the initial diagnosis provided by the sub-investigator.
次要结局
未报告次要终点