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Abstract #76422 Published in IGR 19-3
Validation of the structure-function correlation report from the heidelberg edge perimeter and spectral-domain optical coherence tomography
Cui QN; Fudemberg SJ; Resende AF; Vu TA; Zhou C; Rahmatnejad K; Hark LA; Myers JS; Katz LJ; Waisbourd MInternational Ophthalmology 2019; 39: 533-540
PURPOSE: To compare the diagnostic assessment of glaucoma specialists with an automated structure-function correlation report combining visual field (VF) and spectral-domain optical coherence tomography (SD-OCT) imagining in subjects with glaucoma. METHODS: This prospective, cross-sectional study was conducted at Wills Eye Hospital, Philadelphia, PA, USA. Subjects with glaucoma received ophthalmic examination, VF testing, and SD-OCT imaging. An automated report was generated describing structure-function correlations between the two structural elements [retinal nerve fiber layer (RNFL) and Bruch's membrane opening-minimum rim width (MRW)] and VF sectors. Three glaucoma specialists masked to the automated report and to each other identified clinically significant structure-function correlations between the VF and SD-OCT reports. Raw agreement and chance-corrected agreement (kappa statistics) between the automated report and the clinical assessments were compared. RESULTS: A total of 53 eyes from 45 subjects with glaucoma were included in this study. The overall agreement between the automated report and clinical assessment comparing MRW and VF was good at 74.8% with a kappa of 0.62 (95% CI 0.55-0.69). Agreements for the six different MRW sections were moderate to good with kappa values ranging from 0.54 to 0.69. For mean RNFL thickness and VF comparisons, agreement between the automated report and clinical assessment was 75.4% with a kappa of 0.62 (95% CI 0.54-0.70). For different RNFL sectors, kappa values ranged from 0.47 (moderate agreement) to 0.80 (good agreement). CONCLUSIONS: This study suggests that the automated structure-function report combining results from the SD-OCT and the HEP may assist in the evaluation and management of glaucoma.
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Classification:
6.6.2 Automated (Part of: 6 Clinical examination methods > 6.6 Visual field examination and other visual function tests)
6.9.2.2 Posterior (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis > 6.9.2 Optical coherence tomography)
6.6.3 Special methods (e.g. color, contrast, SWAP etc.) (Part of: 6 Clinical examination methods > 6.6 Visual field examination and other visual function tests)
