Retinal Hyperspectral Imaging in Neurodegenerative Diseases

Condition(s) studied

Investigational drug(s) / intervention(s)

Hyperspectral camera: Hyperspectral imaging is performed with the Metabolic Hyperspectral Retinal Camera (Optina Diagnostic, Montreal, Canada) and a prototype camera developed by researchers at the Centre for Eye Research Australia (CERA). The Metabolic Hyperspectral Retinal Camera is similar to a typical fundus imager but it incorporates a tunable light source which is able to transmit safe light levels within a wavelength range covering the visible to near infrared with a narrow bandwidth (\< 3nm). This instrument is capable of imaging a 26° field-of-view of retina at 90 wavelengths in less than a second, thus minimizing discomfort and limiting the influence of eye movements. The hyperspectral camera developed by CERA researchers is a non-mydriatic fundus camera that uses light emitting diodes (LEDs) and an optical variable bandpass filter to tune the illumination wavelengths.

Study summary

Hyperspectral retinal imaging is a non-invasive imaging modality in which a series of images of the retina are captured using light of different wavelengths. The resulting "hypercube" of data provides a wealth of information about the retinal structure. Our group has developed evidence supporting a role for this technology in the detection of retinal amyloid beta in Alzheimer's disease. We are undertaking further studies to establish the role of this method in the assessment of people with dementia, or those at risk of Alzheimer's disease. In addition, we wish to test whether the approach may have value in other forms of dementia or neurodegenerative disease such as Parkinson's disease, Lewy-Body dementia or vascular dementia.

Eligibility

Primary outcome measure(s)

• Diagnostic classification of neurodegenerative diseases using hyperspectral retinal imaging — During study visit (baseline data collection); analyses performed after completion of participant recruitment and imaging dataset acquisition
  Evaluation of whether hyperspectral retinal imaging-derived biomarkers can distinguish between diagnostic groups including Alzheimer's disease, Lewy body dementia, Parkinson's disease, frontotemporal dementia, vascular dementia, and cognitively healthy controls. Diagnostic performance will be assessed using AI-based classification outputs, including sensitivity, specificity, classification accuracy, and area under the receiver operating characteristic curve (AUC).

Trial sites (1)

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