retinal oxygenation estimation trial with mantis photonics hyperspectral camera

Conditions: Glaucoma Eye; Macular Degeneration; Macula Abnormality; Retinal Detachment

Summary: 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.

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.

Eligibility criteria:
for inclusion in the investigation, the patient-subjects must fulfill all of the below criteria prior to enrollment: 1. age \> 18 years. 2. ophthalmological disease, disorder, illness or problem involving the retina 3. provision of informed consent i.e., subject must be able to understand and sign the patient information and consent form. for inclusion in the investigation, the healthy subjects must fulfill all of the below criteria prior to enrollment: 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.

Keywords: hyperspectral retinoscopy oxygenation non-invasive