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Eye (Lond)December 201619 citations

Anterior segment imaging-based subdivision of subjects with primary angle-closure glaucoma.

Nongpiur M E, Atalay E, Gong T, Loh M, Lee H K, He M, Perera S A, Aung T


AI Summary

ASOCT imaging identified three distinct primary angle-closure glaucoma subgroups based on iris area, lens vault, and anterior chamber depth, allowing for more targeted management.

Abstract

PurposeThe purpose of this study was to identify whether it was possible to subdivide subjects with primary angle-closure glaucoma (PACG) based on anterior segment optical coherence tomography (ASOCT) imaging, and to determine the characteristics of such subgroups.MethodsWe evaluated 210 subjects with PACG. All subjects underwent gonioscopy and ASOCT imaging. Customized software was used to measure ASOCT parameters. An agglomerative hierarchical clustering method was first used to determine the optimum number of parameters to be included in the determination of subgroups. Then, the best number of subgroups was determined using Akaike Information Criterion (AIC) and Gaussian Mixture Model (GMM) methods.ResultsThe mean age of the subjects was 67.9 years, and 53.3% were female. Following the hierarchical clustering, four parameters (iris area, anterior chamber depth (ACD), anterior chamber width (ACW), and lens vault (LV)) were chosen to be representative of related parameters. The optimal number of subgroups using GMM analysis and AIC was 3. Subgroup 1 (N=89; 42.4%) was characterized by a large iris area, subgroup 2 (N=24; 11.4%) by a large LV and a shallow ACD, whereas subgroup 3 (N=97; 46.2%) displayed only intermediate values across iris area, LV, and ACD.ConclusionsWe identified three distinct subgroups of PACG subjects based on ASOCT imaging.


MeSH Terms

AgedAnterior Eye SegmentChinaCluster AnalysisFemaleGlaucoma, Angle-ClosureGonioscopyHumansIntraocular PressureIrisMaleProspective StudiesSoftwareTomography, Optical Coherence

Key Concepts4

A cross-sectional study of 210 subjects with primary angle-closure glaucoma (PACG) identified three distinct subgroups based on anterior segment optical coherence tomography (ASOCT) imaging using Gaussian Mixture Model (GMM) analysis and Akaike Information Criterion (AIC).

DiagnosisCross-sectionalCross-sectional studyn=210 subjects with PACGCh4Ch8

In a cross-sectional study of 210 subjects with primary angle-closure glaucoma (PACG), subgroup 1 (N=89; 42.4%) was characterized by a large iris area, subgroup 2 (N=24; 11.4%) by a large lens vault (LV) and a shallow anterior chamber depth (ACD), and subgroup 3 (N=97; 46.2%) displayed only intermediate values across iris area, LV, and ACD.

DiagnosisCross-sectionalCross-sectional studyn=210 subjects with PACGCh4Ch8

A cross-sectional study of 210 subjects with primary angle-closure glaucoma (PACG) found that the mean age of the subjects was 67.9 years, and 53.3% were female.

EpidemiologyCross-sectionalCross-sectional studyn=210 subjects with PACGCh10

In a cross-sectional study of 210 subjects with primary angle-closure glaucoma (PACG), an agglomerative hierarchical clustering method was used to select four parameters (iris area, anterior chamber depth (ACD), anterior chamber width (ACW), and lens vault (LV)) as representative for subdividing subjects.

MethodologyCross-sectionalCross-sectional studyn=210 subjects with PACGCh4

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