Retinal Oxygenation Estimation Trial With Mantis Photonics Hyperspectral Camera

NCT ID: NCT05566626

Last Updated: 2022-10-21

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

120 participants

Study Classification

INTERVENTIONAL

Study Start Date

2022-10-31

Study Completion Date

2023-12-31

Brief Summary

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An explorative study of the Mantis Photonics hyperspectral camera for retinal imaging and estimation of retinal oxygenation.

Primary objective: To evaluate the performance of the hyperspectral camera for non-invasive retinal examination in order to improve the diagnosis of diseases affecting the retina or central nervous system. Secondary objective: To investigate the possibilities of the use of a hyperspectral camera for non-invasive retinal examination.

Detailed Description

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In the retina, light is captured and then transported via the optic nerve to the brain. Common diseases in the retina are glaucoma, diabetes and age-related changes in the macular area. Diagnosing these diseases is important to be able to treat them in time. Currently, it is possible to image the retina with, for example, a regular camera or with ultrasound. Similarly, with Optical Coherence Tomography (OCT) one can get a deep view of the layers of the retina. It is currently difficult to investigate the oxygenation level of the retina. With intravenous injection followed by photography, images can be collected of the retina that shows areas of non-perfusion. However, injecting a drug is not always possible and is also associated with risk.

Mantis Photonics AB has developed a new diagnostic camera that uses an ordinary camera's light flash but analyses the reflected light with a novel patented technology into different wavelengths allowing hyperspectral imaging (HI). With HI it is possible to capture and see changes that are not visible with a regular camera. Interpretation of the reflected spectrum allows assessment of retinal oxygenation. The oxygenation level is affected in several retinal diseases, such as diabetes and glaucoma. Initial reports have shown that the technology could be valuable for early detection of, for example, diabetic retinopathy. Furthermore, hyperspectral imaging can be used to detect molecular changes seen in age-related macular degeneration.

It is believed that hyperspectral technology can provide detailed information about various disease states in the retina, such as haemorrhages, ischemia, diabetes, and glaucoma. With improved examination technology, it is possible to sharpen treatment and perhaps advance adequate treatment. This project aims to investigate, explore and refine hyperspectral camera technology by photographing healthy retinas. Furthermore, the project intends to examine people with retinal diseases such as glaucoma and age-related macular changes, diabetes, retinal detachment and compare diagnostic accuracy with other available techniques.

Conditions

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Glaucoma Eye Macular Degeneration Macula Abnormality Retinal Detachment

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Alle participants, both healthy subjects and patients, receive the same intervention: hyperspectral image with Mantis Photonics camera
Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Camera test group

The Principal Investigator will take a hyperspectral image of all subjects, both healthy volunteers and patients.

Group Type EXPERIMENTAL

Hyperspectral retinal image

Intervention Type DEVICE

Hyperspectral image of both eyes

Mydriacyl Ophthalmic Product

Intervention Type DRUG

Mydriatic drops before retinoscopy

Interventions

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Hyperspectral retinal image

Hyperspectral image of both eyes

Intervention Type DEVICE

Mydriacyl Ophthalmic Product

Mydriatic drops before retinoscopy

Intervention Type DRUG

Other Intervention Names

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hyperspectral retinoscopy

Eligibility Criteria

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Inclusion Criteria

1. Age \>18 years.
2. Without known eye disease.
3. Provision of informed consent i.e., subject must be able to understand and sign the patient information and consent form.

Patients-subjects who meet any of the below criteria will be excluded from the investigation:

1. Patients with narrow angle glaucoma
2. Inclusion in other ongoing investigations at present that would preclude the subject from participating in this investigation as judged by the Principal Investigator. Healthy subjects who meet any of the below criteria will be excluded from the investigation:

1\. Presence of eye disease, eye trauma, diabetes or pregnancy. 3. Inclusion in other ongoing investigations at present that would preclude the subject from participating in this investigation as judged by the Principal Investigator.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Sundets Ögonläkare

UNKNOWN

Sponsor Role collaborator

Mantis Photonics AB

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Madeleine Selvander, MD

Role: PRINCIPAL_INVESTIGATOR

Sundets Ögonläkare

Locations

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Sundets Ögonläkare

Helsingborg, Skåne County, Sweden

Site Status

Countries

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Sweden

References

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Bernardes R, Serranho P, Lobo C. Digital ocular fundus imaging: a review. Ophthalmologica. 2011;226(4):161-81. doi: 10.1159/000329597. Epub 2011 Sep 22.

Reference Type BACKGROUND
PMID: 21952522 (View on PubMed)

Hardarson SH, Stefansson E, Bek T. Retinal oxygen saturation changes progressively over time in diabetic retinopathy. PLoS One. 2021 May 12;16(5):e0251607. doi: 10.1371/journal.pone.0251607. eCollection 2021.

Reference Type BACKGROUND
PMID: 33979414 (View on PubMed)

Johnson WR, Wilson DW, Fink W, Humayun M, Bearman G. Snapshot hyperspectral imaging in ophthalmology. J Biomed Opt. 2007 Jan-Feb;12(1):014036. doi: 10.1117/1.2434950.

Reference Type BACKGROUND
PMID: 17343511 (View on PubMed)

Lee EJ, Kee HJ, Han JC, Kee C. Evidence-based understanding of disc hemorrhage in glaucoma. Surv Ophthalmol. 2021 May-Jun;66(3):412-422. doi: 10.1016/j.survophthal.2020.09.001. Epub 2020 Sep 17.

Reference Type BACKGROUND
PMID: 32949554 (View on PubMed)

Lu G, Fei B. Medical hyperspectral imaging: a review. J Biomed Opt. 2014 Jan;19(1):10901. doi: 10.1117/1.JBO.19.1.010901.

Reference Type BACKGROUND
PMID: 24441941 (View on PubMed)

Meinke M, Muller G, Helfmann J, Friebel M. Empirical model functions to calculate hematocrit-dependent optical properties of human blood. Appl Opt. 2007 Apr 1;46(10):1742-53. doi: 10.1364/ao.46.001742.

Reference Type BACKGROUND
PMID: 17356617 (View on PubMed)

Ohno-Matsui K. Parallel findings in age-related macular degeneration and Alzheimer's disease. Prog Retin Eye Res. 2011 Jul;30(4):217-38. doi: 10.1016/j.preteyeres.2011.02.004. Epub 2011 Mar 25.

Reference Type BACKGROUND
PMID: 21440663 (View on PubMed)

Safi H, Safi S, Hafezi-Moghadam A, Ahmadieh H. Early detection of diabetic retinopathy. Surv Ophthalmol. 2018 Sep-Oct;63(5):601-608. doi: 10.1016/j.survophthal.2018.04.003. Epub 2018 Apr 19.

Reference Type BACKGROUND
PMID: 29679616 (View on PubMed)

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

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MANTIS_2022_08_Oxygenation_S

Identifier Type: -

Identifier Source: org_study_id

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