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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT05604183
Other study ID # MANTIS_2022_08_CrossSect_B
Secondary ID CIV-22-06-039726
Status Not yet recruiting
Phase N/A
First received
Last updated
Start date November 2022
Est. completion date December 29, 2023

Study information

Verified date October 2022
Source Mantis Photonics AB
Contact Anders Behrens, MD, PhD
Phone +460702034496
Email anders.behrens@regionblekinge.se
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

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).


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.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 80
Est. completion date December 29, 2023
Est. primary completion date December 29, 2023
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility 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.

Study Design


Intervention

Procedure:
non-invasive hyperspectral retinoscopy
The Principal Investigator or a trained medical nurse (under the supervision of the principal investigator) will take an image of the retina of the patient with the Mantis Photonics hyperspectral retinoscopy camera.
blood sample
The Principle Investigator or a trained medical nurse (under the supervision of the Principal Investigator) will draw a small blood sample according to the standard medical procedures for drawing blood samples.
Diagnostic Test:
Test of cognitive ability on tablet computer with CoGNIT software
The Principle Investigator or a trained medical nurse (under the supervision of the Principal Investigator) will give the patient to perform the digital cognitive test on a commercial tablet computer. The Principal Investigator or the medical nurse will be available for the patient to ask questions while the test is ongoing.

Locations

Country Name City State
Sweden Blekinge Hospital Karlskrona Blekinge Län
Sweden Blekinge Tekniska Högskola Karlskrona Blekine Län

Sponsors (3)

Lead Sponsor Collaborator
Mantis Photonics AB Blekinge County Council Hospital, Blekinge Institute of Technology

Country where clinical trial is conducted

Sweden, 

References & Publications (7)

Behrens A, Berglund JS, Anderberg P. CoGNIT Automated Tablet Computer Cognitive Testing in Patients With Mild Cognitive Impairment: Feasibility Study. JMIR Form Res. 2022 Mar 11;6(3):e23589. doi: 10.2196/23589. — View Citation

Behrens A, Eklund A, Elgh E, Smith C, Williams MA, Malm J. A computerized neuropsychological test battery designed for idiopathic normal pressure hydrocephalus. Fluids Barriers CNS. 2014 Sep 25;11:22. doi: 10.1186/2045-8118-11-22. eCollection 2014. — View Citation

Behrens A, Elgh E, Leijon G, Kristensen B, Eklund A, Malm J. The Computerized General Neuropsychological INPH Test revealed improvement in idiopathic normal pressure hydrocephalus after shunt surgery. J Neurosurg. 2019 Feb 8;132(3):733-740. doi: 10.3171/2018.10.JNS18701. — View Citation

Budelier MM, Bateman RJ. Biomarkers of Alzheimer Disease. J Appl Lab Med. 2020 Jan 1;5(1):194-208. doi: 10.1373/jalm.2019.030080. — View Citation

Hadoux X, Hui F, Lim JKH, Masters CL, Pébay A, Chevalier S, Ha J, Loi S, Fowler CJ, Rowe C, Villemagne VL, Taylor EN, Fluke C, Soucy JP, Lesage F, Sylvestre JP, Rosa-Neto P, Mathotaarachchi S, Gauthier S, Nasreddine ZS, Arbour JD, Rhéaume MA, Beaulieu S, Dirani M, Nguyen CTO, Bui BV, Williamson R, Crowston JG, van Wijngaarden P. Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer's disease. Nat Commun. 2019 Sep 17;10(1):4227. doi: 10.1038/s41467-019-12242-1. — View Citation

Rasmussen J, Langerman H. Alzheimer's Disease - Why We Need Early Diagnosis. Degener Neurol Neuromuscul Dis. 2019 Dec 24;9:123-130. doi: 10.2147/DNND.S228939. eCollection 2019. — View Citation

Teunissen CE, Verberk IMW, Thijssen EH, Vermunt L, Hansson O, Zetterberg H, van der Flier WM, Mielke MM, Del Campo M. Blood-based biomarkers for Alzheimer's disease: towards clinical implementation. Lancet Neurol. 2022 Jan;21(1):66-77. doi: 10.1016/S1474-4422(21)00361-6. Epub 2021 Nov 24. Review. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Other Adverse effect Measurement:
Percentage [percent] of patients who report adverse effects such as transient 'imprint' of the flash or other adverse effects.
Immediately after the retinoscopy procedure
Other Serious adverse effect Occurence of serious adverse effects due to the procedure.
Any patient who suffers serious harm due to the procedure is a study outcome and a study endpoint.
Immediately after the retinoscopy procedure
Primary Accuracy (Statistical metric) retinal image classification model Performance metric of the retinal image classification model: model accuracy [percent] within 2 months after last patient procedure
Primary Area under the Curve (statistical metrics) retinal image classification model Performance metric of the retinal image classification model: Area under the Curve (AuC) [0 < AuC < 1] within 2 months after last patient procedure
Primary Sensitivity (Statistical metric) retinal image classification model Performance metrics of the retinal image classification model: Sensitivity [percent] within 2 months after last patient procedure
Primary CoGNIT test diagnostic accuracy Accuracy [percent] of diagnosis based on the CoGNIT test data within 2 months after last patient procedure
Secondary Accuracy: Metrics combination model A combination model of both non-invasive techniques will be evaluated based on the same metrics as the single-technique model (see primary objectives) and evaluated based on the comparison of said metrics: accuracy [percent] for the optimal choice of threshold. within 3 months after last patient procedure
Secondary Area Under the Curve: Metrics combination model A combination model of both non-invasive techniques will be evaluated based on the same metrics as the single-technique model (see primary objectives) and evaluated based on the comparison of said metrics: Area Under the Curve [0 within 3 months after last patient procedure
Secondary Sensitivity: Metrics combination model A combination model of both non-invasive techniques will be evaluated based on the same metrics as the single-technique model (see primary objectives) and evaluated based on the comparison of said metrics: sensitivity [percent] for the optimal choice of threshold. within 3 months after last patient procedure
Secondary Non invasive test variability compared to reference The variability [relative and normalized: percent] between the first and the second hyperspectral retinoscopy result will be compared to the variability between the blood analysis at the first and the second appointment [relative and normalized: percent]. The blood test variability will be used as a reference in this study. within 3 months after last patient procedure
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