MERIT specializes in the following areas. Explore the endpoint assessments for each category below.
Endpoint Assessments by Areas of Focus
Wet Age-Related Macular Degeneration (nAMD)
- CNV location, area, classification (OCT/OCTA/FA)
- OCT layer segmentation using a proprietary machine-learning algorithm with human grader oversight
- subretinal/intraretinal fluid, Pigment Epithelial Detachment (PED), EZ status, RPE status (OCT)
- Presence of Epiretinal Membrane (ERM), RPE rip/tear (OCT)
- Area of leakage (FA)
- Macular hole (OCT)
- Hemorrhage (peripapillary, vitreous)
- Subretinal fibrosis
- Area and location of blood
- Macular atrophy presence, area, and distance to fovea, RPE atrophy
Dry AMD / iAMD
- OCT layer segmentation using a proprietary machine-learning algorithm with human grader oversight
- Photoreceptor loss, EZ loss area and attenuation
- RPE integrity/geographic atrophy (OCT/FA/FAF/CF)
- Drusen and drusen volume
- IRF/SRF
- iRORA, cRORA
- Hyperreflective foci
- Reticular pseudodrusen
- Pigmentary changes
Diabetic Retinopathy (DR) / Diabetic Macular Edema (DME) / Proliferative Diabetic Retinopathy (PDR)
- OCT layer segmentation using a proprietary machine-learning algorithm with human grader oversight
- Macular edema, subretinal/intraretinal fluid, pigment epithelial detachment disorganization of retinal layers (DRIL), epiretinal membrane (ERM) vitreomacular traction, macular hole,
- Diabetic Retinopathy Severity Score (DRSS), photocoagulation, hemorrhages/microaneurysms, hard exudate, IRMA, venous beading, vessel tortuosity
- Fluorescein leakage
- Capillary nonperfusion
- New vessels on disc and new vessels elsewhere
Inherited Retinal Diseases (IRDs)
- OCT layer segmentation using a proprietary machine-learning algorithm with human grader oversight
- Retinal pigment epithelium defect, ELM defect and Ellipsoid Zone (EZ) loss measured quantitatively with OCT and FAF
- DDAF/QDAF
Retinopathy of Prematurity (ROP)
- OCT layer segmentation using a proprietary machine-learning algorithm with human grader oversight
- ROP Stage and Extent
- Fibrosis
Safety Endpoint
- OCT layer segmentation using a proprietary machine-learning algorithm with human grader oversight
- Morphologic changes from baseline
- Endothelial Cell Counts
- Pigmentary changes
- Nerve fiber layer analysis
Anterior Segment / Cornea / Dry Eye Disease
- Anterior segment OCT
- Corneal thickness
- IOL rotation and decentration
- Hyperemia
- Corneal fluorescein staining
Device / AI
- Macular Edema, SRF, IRF
- DRSS
Dry Eye Disease
- Corneal fluorescein staining
Endothelial Cell Health
- Endothelial Cell Counts
- Cell Density
- Coefficient of Variance
- Hexagonality
- Average cell area
Uveitis
- OCT layer segmentation using a proprietary machine-learning algorithm with human grader oversight
- SRF, IRF, ERM, vitreomacular tractions, macular hole
- Optic disc hyperfluorescence, macular edema, retinal vascular staining, leakage, capillary leakage, nonperfusion, macular ischemia, new vessels on disc, new vessels elsewhere, retinal staining, subretinal fibrotic lesions
- Active inflammatory chorioretinal lesion, inflammatory vascular lesion
Retinal Vein Occlusion (RVO)
- OCT layer segmentation using a proprietary machine-learning algorithm with human grader oversight
- Subretinal fluid
- Intraretinal fluid
- Macular edema, PVD, ERM, vitreomacular traction
- Nonperfusion
- Leakage
- New vessels on disc, new vessels elsewhere
- Collateral vessels on disc, elsewhere
Glaucoma
- Zonal retinal nerve fiber layer thickness (OCT)
- Inner retinal layer analysis
- Cup to disc ratio
- Visual fields
- ERG
Visual Function
- Microperimetry, Static Perimetry, Kinetic Perimetry
- Pupillometry
- Full Field Stimuli Test
- Light/Dark Adaptation
- ERG
- VEP
- Ocular Motor Instability
- BCVA, LLVA, LCVA, near visual acuity
- Berkeley Rudimentary Vision Test
- FrACT
- Pelli-Robson Contrast Sensitivity, Mars Contrast Sensitivity
- MN Read
- Radner Reading Assessment
- MLMT