Fundus Camera Module for Early Detection of Alzheimer's Disease
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Francesco Di Lorenzo, Dott
- Phone Number: +390651501181
- Email: f.dilorenzo@hsantalucia.it
Study Locations
-
-
-
Rome, Italy, 00179
- Recruiting
- Santa Lucia foundation
-
Contact:
- Francesco Di Lorenzo, Dott
- Phone Number: +390651501181
- Email: fdilorenzo@hsantalucia.it
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- 55 years or older
Diagnosis:
- For AD group: Clinically diagnosed with Alzheimer's disease (mild to moderate stage) based on Mini-Mental State Examination (MMSE) score between 10-26 and confirmed by PET imaging or CSF.
- For Control group: No diagnosis of Alzheimer's disease or other neurodegenerative disorders.
- Signed informed consent by the patient. If there are any doubts that the patient is mentally capable of giving informed consent, the patient will be examined and verified to be mentally capable by an independent physician/ neurologist, prior to the initiation of any study specific procedure
Exclusion Criteria:
- Severe cognitive impairment (MMSE <10) preventing cooperation during the imaging process.
- Inability to remain still during the fundus imaging procedure.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Patients
|
visualization of the retina using an ophthalmoscope
|
|
Healthy Subjects
|
visualization of the retina using an ophthalmoscope
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Validation of Multispectral Fundus Imaging for Alzheimer's Disease Detection
Time Frame: Baseline
|
Create an automatic AD detection model using advanced data processing, such as machine learning, that would be able to distinguish between AD and a healthy retina.
|
Baseline
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- CE/2023_023
Drug and device information, study documents
product manufactured in and exported from the U.S.
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