Exploring the relationship between 24‐2 visual field and widefield optical coherence tomography data across healthy, glaucoma suspect and glaucoma eyes

• Published in: Ophthalmic & physiological optics 2024-11, Vol.44 (7), p.1484-1499
• Main Authors: Tong, Janelle, Phu, Jack, Alonso‐Caneiro, David, Kugelman, Jason, Khuu, Sieu, Agar, Ashish, Coroneo, Minas, Kalloniatis, Michael
• Format: Article
• Language: English
• Subjects: Decision making; Eye; Glaucoma; optical coherence tomography; Receptive field; Regression analysis; Tomography; Visual field; visual fields
• ISSN: 0275-5408; 1475-1313; 1475-1313
• DOI: 10.1111/opo.13368

Purpose To utilise ganglion cell‐inner plexiform layer (GCIPL) measurements acquired using widefield optical coherence tomography (OCT) scans spanning 55° × 45° to explore the link between co‐localised structural parameters and clinical visual field (VF) data. Methods Widefield OCT scans acquired from 311 healthy, 268 glaucoma suspect and 269 glaucoma eyes were segmented to generate GCIPL thickness measurements. Estimated ganglion cell (GC) counts, calculated from GCIPL measurements, were plotted against 24‐2 SITA Faster visual field (VF) thresholds, and regression models were computed with data categorised by diagnosis and VF status. Classification of locations as VF defective or non‐defective using GCIPL parameters computed across eccentricity‐ and hemifield‐dependent clusters was assessed by analysing areas under receiver operating characteristic curves (AUROCCs). Sensitivities and specificities were calculated per diagnostic category. Results Segmented linear regression models between GC counts and VF thresholds demonstrated higher variability in VF defective locations relative to non‐defective locations (mean absolute error 6.10–9.93 dB and 1.43–1.91 dB, respectively). AUROCCs from cluster‐wide GCIPL parameters were similar across methods centrally (p = 0.06–0.84) but significantly greater peripherally, especially when considering classification of more central locations (p