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Hyperspectral Retinal Observations for the Cross-sectional Detection of Alzheimer's Disease

M

Mantis Photonics

Status

Not yet enrolling

Conditions

Cognitive Impairment
Cognitive Decline
Alzheimer Disease, Early Onset

Treatments

Diagnostic Test: Test of cognitive ability on tablet computer with CoGNIT software
Procedure: blood sample
Procedure: non-invasive hyperspectral retinoscopy

Study type

Interventional

Funder types

Other
Industry

Identifiers

NCT05604183
CIV-22-06-039726 (Other Identifier)
MANTIS_2022_08_CrossSect_B

Details and patient eligibility

About

Two devices will be tested in this research:

  1. Mantis Photonics' hyperspectral camera for non-invasive retinal examination (i.e., a hardware medical device under investigation).
  2. Blekinge CoGNIT cognitive ability test (i.e., an assessment).

Full description

Worldwide, millions of people are affected by neurodegenerative diseases (e.g., Alzheimer's disease, dementia). Those diseases are having a tremendous socio-economic impact on our society. The cost associated with treating and caring for those diseases is enormous. Overwhelming evidence indicates how selective lifestyle changes (e.g., reducing exposure to known risk factors) can sometimes significantly decrease the probability of developing the disease or delay its onset. However, the diseases must be diagnosed early for them to be effective. There is a lack of accessible, inexpensive, and non-invasive practices that would allow for an early diagnosis of different diseases, even at the primary physician's office. Mantis Photonics and Blekinge Tekniska Högskola (Institustionen för Hälsa) aim to fill this urgent unmet medical need.

Strong indications of the possibility of classifying Alzheimer's status based on hyperspectral scans of the retina have been published by different researchers. These results were obtained based on images taken with hyperspectral cameras with a different working principle than the Mantis Photonics camera. The working principle of the Mantis Photonics camera allows making a hyperspectral retinoscopy with the same spectral range and comparable or better spectral resolution with a machine that is more modular and lower in cost. There is thus reason to hypothesize retinal scans taken with the Mantis Photonics camera can be used for the same classification task.

Previous studies on the automated tablet computer cognitive test CoGNIT have established validity, reliability and sensitivity for testing patients with Normal Pressure Hydrocephalus (NPH) . Recently feasibility of testing in Mild Cognitive Impairment (MCI) was affirmed (Behrens, Berglund, & Anderberg, CoGNIT Automated Tablet Computer Cognitive Testing in Patients With Mild Cognitive Impairment: Feasibility Study, 2022). In NPH patients, CoGNIT was more sensitive to cognitive impairment at baseline and cognitive improvement after shunt surgery than the Mini-Mental State Examination (MMSE).

Blood tests for amyloid-β and other biomarkers related to Alzheimer's disease are being investigated for clinical practice, but the technique is not accepted as a standard test. Research has shown that renal function influences amyloid-β clearance from the body. Also, analytical errors influence test results. Therefore, one can question the influence of normal repeatability of the blood test result.

The aim of this investigation is the evaluation, (further) development and comparison of non-invasive techniques for the evaluation of patients suffering mild cognitive impairment, in particular, the Mantis Photonics hyperspectral camera with classification machine learning model in combination with the CoGNIT test of Dr Behrens (Blekinge Tekniska Högskola). These techniques will be compared to the result of cerebrospinal fluid analysis (CSF), the reference biological diagnostic technique for Alzheimer's disease.

Enrollment

80 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • subject age over 18 years old
  • The subject has undergone a lumbar puncture an cerebrospinal fluid analysis as part of the standard care.
  • The subject has at least one healthy eye.
  • The subject is applicable for taking a blood sample for the blood analysis test.
  • The informed consent is provided, explained and understood by the person. The person has consented to the informed consent.

Exclusion criteria

  • There are contra-indications for lumbar puncture (eg: brain tumor with suspicion of raised intracranial pressure, coagulopathies or ongoing anticoagulant medications) will be excluded from the study.
  • When the subject suffers from excessive visual or auditive impairment, the he/she will be excluded from the CoGNIT track.

Trial design

Primary purpose

Diagnostic

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

80 participants in 1 patient group

Subjects
Experimental group
Description:
On all subjects included in the study (see inclusion / exclusion criteria and informed consent) both procedures will be performed. The result of these procedures (retinal scan, result from cognitive test and blood sample) will be used to build diagnostic classification models.
Treatment:
Procedure: non-invasive hyperspectral retinoscopy
Procedure: blood sample
Diagnostic Test: Test of cognitive ability on tablet computer with CoGNIT software

Trial contacts and locations

2

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Central trial contact

Jan Alexander, Master; Anders Behrens, MD, PhD

Data sourced from clinicaltrials.gov

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