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Author
Ali Jaafar Haidar -
Discovery PI
Edmund Tsui
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Project Co-Author
Ali J Haidar, Saitiel Sandoval Gonzalez, Shani Pillar, Shin Kadomoto, Annabelle Tran, Nidhi Thati, Amber Henny, Joseph K. Privratsky, Nina Moitra Cherian, Nicolette Zargari, Keren Chen, Nicholas J. Jackson, Giulia Corradetti, SriniVas R. Sadda, Judy L. Chen, Gary N. Holland, Edmund Tsui
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Abstract Title
Quantification of Anterior Chamber Cells in Children with Juvenile Idiopathic Arthritis-Associated Chronic Anterior Uveitis Using Swept-Source Anterior Segment Optical Coherence Tomography
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Discovery AOC Petal or Dual Degree Program
Basic, Clinical, & Translational Research
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Abstract
Purpose: To evaluate the potential of swept-source anterior segment optical coherence tomography (AS-OCT) in assessing uveitis in children with juvenile idiopathic arthritis (JIA) by quantifying anterior chamber (AC) hyper-reflective foci (HRF).
Methods: 71 eyes of 40 children younger than 18 years of age with JIA were enrolled and imaged with swept-source AS-OCT (ANTERION, Heidelberg Engineering). Eyes were categorized as: 1) active JIA-associated chronic anterior uveitis (JIA-U, ≥0.5+ cell); 2) inactive JIA-U, and 3) JIA without prior uveitis. Standardization of Uveitis Nomenclature (SUN) criteria were used to grade AC cells clinically. A custom algorithm was used to automate HRF quantification. Analysis of variance (ANOVA) followed by a post-hoc Tukey test was performed to determine statistical significance.
Results: Of the 71 eyes, 30 eyes (42.3%) had a history of JIA-U and 41 eyes (57.7%) had JIA without prior uveitis. The SUN grade of eyes with JIA-U was as follows: Grade 0, 15/30 eyes (50.0%); Grade 0.5+, 6/30 (20.0%); and Grade 1+ or greater, 9/30 eyes (30.0%). The median count of HRF in the uninvolved, inactive, and active eyes were 1 (IQR 0,1), 2 (IQR 0, 3), and 26 (IQR 9, 59), respectively. ANOVA demonstrated a significant difference between the three groups (p<0.001). Post-hoc Tukey analysis showed a significant difference between active versus inactive uveitic eyes (p<0.001) and active uveitis versus uninvolved eyes (p<0.001), but no significant difference between inactive uveitic eyes versus uninvolved eyes (p=0.94).
Conclusions: Automated analysis of swept source AS-OCT images effectively differentiated active JIA-U from both inactive JIA-U and JIA without prior uveitis, reinforcing the potential of swept-source AS-OCT as a noninvasive tool for detecting AC inflammation in children with JIA-U. Larger, longitudinal studies are needed to elucidate the utility of AS-OCT for screening and monitoring of JIA-U.