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| Name | Class |
|---|---|
| College of Optical Science and Engineering, Zhejiang University | UNKNOWN |
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The objective of this observational study is to investigate whether non-invasive fundus retinal detection technology can be used for the early diagnosis of parkinson's disease (PD). It aims to answer the following primary questions: the sensitivity and specificity of non-invasive fundus retinal detection technology in the early diagnosis of PD; and whether this technology offers advantages over dopamine transporter positron emission tomography (DAT-PET), a conventional screening method for PD. The researchers will analyze the diagnostic performance of this technology for early-stage PD patients among cohorts including early parkinson's disease, parkinson's syndromes, essential tremor patients, and healthy individuals. Furthermore, in PD patients who concurrently undergo DAT-PET imaging, the study will compare the diagnostic value of non-invasive retinal imaging against that of DAT-PET.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Parkinson's Disease | Patients who meet the 2015 International Movement Disorder Society clinical diagnostic criteria for Parkinson's disease, with a Hoehn and Yahr stage of 1 to 2.5 and a disease duration of ≤5 years. |
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| Parkinson's Syndromes | Patients who meet the International Movement Disorder Society diagnostic criteria for atypical parkinson's syndromes (including progressive supranuclear palsy, dementia with Lewy bodies, and corticobasal degeneration), multiple system atrophy (P subtype), or secondary parkinson's syndrome (drug-induced: having taken antipsychotic medications for ≥3 months; vascular: confirmed by brain MRI showing leukoaraiosis/lacunar infarction), with a disease duration of ≤5 years. |
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| Essential Tremor | Patients who meet the 2018 International Movement Disorder Society clinical diagnostic criteria for essential tremor, with no parkinsonian symptoms, and a disease duration of ≥1 year. |
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| Healthy Control | Individuals with no parkinsonian symptoms (confirmed by neurological examination) and no use of antipsychotic/dopaminergic medications in the past 3 months. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| non-invasive fundus retinal detection | Diagnostic Test | functional optical coherence tomography angiography-retinal neurovascular coupling (fOCTA-rNVC) detection technology |
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| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity and specificity of non-invasive fundus retinal detection technology for early parkinson's disease diagnosis | Sensitivity and specificity will be calculated by comparing the results of non-invasive fundus retinal detection against the clinical diagnostic criteria. Values with 95% confidence intervals will be reported. | At enrollment |
| Area under the ROC curve (AUC) of retinal parameters for discriminating early parkinson's disease | The AUC will be computed to evaluate the overall discriminatory power of continuous retinal parameters. | At enrollment |
| Measure | Description | Time Frame |
|---|---|---|
| Differential diagnostic accuracy of non-invasive fundus retinal detection technology | To evaluate the ability of non-invasive fundus retinal detection technology in differentiating among patients with early parkinson's disease, parkinson's syndromes, and essential tremor. Accuracy will be calculated based on the proportion of patients correctly classified into their clinical diagnostic groups (as defined by the international MDS criteria) using retinal parameters. |
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Inclusion Criteria:
Exclusion Criteria:
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This study will enroll four distinct groups: (1)patients who meet the 2015 International Movement Disorder Society clinical diagnostic criteria for Parkinson's disease, with a Hoehn and Yahr stage of 1 to 2.5 and a disease duration of ≤5 years; (2)patients with Parkinson's syndromes meeting respective MDS criteria; (3) patients with essential tremor meeting the 2018 MDS clinical diagnostic criteria; and (4) healthy controls. Detailed inclusion and exclusion criteria are listed in Eligibility Criteria.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Feng Gao, MD, PhD | Contact | 13588451471 | 2202012@zju.edu.cn |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| 2nd Affiliated Hospital, School of Medicine, Zhejiang University | Recruiting | Hangzhou | Zhejiang | 310000 | China |
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| ID | Term |
|---|---|
| D010300 | Parkinson Disease |
| ID | Term |
|---|---|
| D020734 | Parkinsonian Disorders |
| D001480 | Basal Ganglia Diseases |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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| At enrollment |
| Comparison of diagnostic accuracy between non-invasive fundus retinal detection technology and DAT-PET in early parkinson's disease | To evaluate and compare the capability of non-invasive fundus retinal detection technology and dopamine transporter positron emission tomography (DAT-PET) in diagnosing early parkinson's disease, against the clinical diagnostic criteria. Metrics including sensitivity, specificity, AUC, and agreement (e.g., Kappa) will be assessed and compared between the two methods. | At enrollment |
| D009422 | Nervous System Diseases |
| D009069 | Movement Disorders |
| D000080874 | Synucleinopathies |
| D019636 | Neurodegenerative Diseases |