Quantification & Classification of Inflammatory Cells in Uveitis Using OCT

Oregon Health and Science University125 enrolled

Overview

The goal of this study is to determine if it's possible to use a high resolution imaging device called optical coherence tomography (OCT) to develop an unbiased, standard method of counting and categorizing the various types of cells and proteins found in an eye condition called anterior uveitis. Anterior uveitis is a type of inflammation in the eye that can be caused by many different diseases of the body.

Study Type

OBSERVATIONAL

Enrollment

125

Conditions

Anterior Uveitis (AU)Birdshot Chorioretinitis Behcet Disease Herpes Simplex Virus Juvenile Idiopathic Arthritis (JIA)Spondyloarthritis (SA)Sarcoidosis Posterior Vitreous Detachment

Eligibility

Sex: ALLMin age: 5 YearsMax age: 85 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: 1. Uveitis Group: Eyes with active intraocular inflammation and a clinical diagnose of spondyloarthritis/HLA-B27 associated anterior uveitis, Juvenile Idiopathic Arthritis (JIA) associated chronic anterior uveitis, Herpes Simplex Virus (HSV) anterior uveitis, Birdshot chorioretinitis, Behcet disease uveitis, sarcoidosis associated uveitis, uveitis of any additional type, or uveitis masquerade. 2. Posterior Vitreous Detachment Group: Eyes with vitreous floaters and posterior vitreous detachment (PVD). 3. Healthy/Control Group: Healthy eyes with no history of uveitis, PVD, or previous eye surgery. Exclusion Criteria: 1. Inability to give informed consent. 2. Inability to maintain stable fixation for OCT imaging. 3. Inability to commit to required visits to complete the study. 4. Pregnancy and breastfeeding.

Outcomes

Primary Outcomes

Identification & Measurement of Anterior Chamber Cells

Anterior Chamber (AC) cells will be identified from OCT images by computer algorithms. AC cell number counted by OCT will be correlated with slit lamp grading. Cell size \& other characteristics identified from OCT images will be associated with different uveitis diagnostic categories. The Standardization of Uveitis Nomenclature (SUN) grading system (scale: 0 = none to 4+ = severe) will be used to compare OCT-derived quantification against slit-lamp grading performed by attending physicians.

Time frame: Day 1

Secondary Outcomes

Measure of AC Flare

OCT signal of the aqueous humor will be analyzed and correlated with slit lamp grading by the attending physician. The SUN grading system (scale: 0 to 4+) will be used.

Time frame: Day 1

Measure of Keratic Precipitates

Keratic precipitates (KPs) will be identified from OCT images. The size of the KPs will be compared across different uveitis diagnostic categories. There is no formal grading system for KPs. The investigators will use the typical qualitative assessments of morphology, distribution, and density. For morphology, cells will be described as fine, mutton-fat, stellate, or pigmented. Distribution patterns will be described as Arlt's Triangle, diffuse, central, or ring-shaped. Density will be described as few, moderate, or numerous.

Time frame: Day 1

Measure of Vitreous Cells

Vitreous cells will be identified from OCT images. Counting of vitreous cells will be done by computer algorithms. Since vitreous cells are not formally graded or quantified in the SUN system, physician grading will be described as rare, few, moderate, numerous, or sheets and compared against the OCT-derived measurements.

Time frame: Day 1

Measurement of Vitreous Haze

OCT signal of the vitreous clarity will be compared against clinical grading of vitreous haze. The National Eye Institute (NEI) Grading Scale will be used. Grading will be documented on a scale of 0 = no haze to 4+ = severe haze.

Time frame: Day 1

Quantification & Classification of Inflammatory Cells in Uveitis Using OCT

Overview

Conditions

Eligibility

Locations (1)

Outcomes

Primary Outcomes

Secondary Outcomes

Central Contacts