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To explore the feasibility of using Saccadic Vector Optokinetic Perimetry (SVOP) to differentiate glaucomatous and healthy eyes. A prospective case-control study was performed using a convenience sample recruited from a single university glaucoma clinic and a group of healthy controls. SVOP and standard automated perimetry (SAP) was performed with testing order randomised. The reference standard was a diagnosis of glaucoma based a comprehensive ophthalmic examination and abnormality on standard automated perimetry (SAP). The index test was SVOP. 31 patients with glaucoma and 24 healthy subjects were included. Mean SAP mean deviation (MD) in those with glaucoma was - 8.7 ± 7.4 dB, with mean SAP and SVOP sensitivities of 23.3 ± 0.9 dB and 22.1 ± 4.3 dB respectively. Participants with glaucoma were significantly older. On average, SAP sensitivity was 1.2 ± 1.4 dB higher than SVOP (95% limits of agreement = - 1.6 to 4.0 dB). SVOP sensitivity had good ability to differentiate healthy and glaucomatous eyes with a 95% CI for area under the curve (AUC) of 0.84 to 0.96, similar to the performance of SAP sensitivity (95% CI 0.86 to 0.97, P = 0.60). For 80% specificity, SVOP had a 95% CI sensitivity of 75.7% to 94.8% compared to 77.8% to 96.0% for SAP. SVOP took considerably longer to perform (514 ± 54 s compared to 267 ± 76 s for SAP). Eye tracking perimetry may be useful for detection of glaucoma but further studies are needed to evaluate SVOP within its intended sphere of use, using an appropriate design and independent reference standard.

Background: To examine the speed and accuracy of saccadic eye movements during a novel eye tracking threshold visual field assessment and determine whether eye movement parameters may improve ability to detect glaucoma., Methods: A prospective study including both eyes of 31 patients with glaucoma and 23 controls. Standard automated perimetry (SAP) and eye tracking perimetry (saccadic vector optokinetic perimetry, SVOP) was performed. SVOP provided data on threshold sensitivity, saccade latency, and two measures of accuracy of saccades (direction bias and amplitude bias). The relationship between eye movement parameters and severity of glaucoma was examined and Receiver Operating Characteristic curves were used to assess ability to detect glaucoma., Results: Patients with glaucoma had significantly slower saccades (602.9 ± 50.0 ms versus 578.3 ± 44.6 ms for controls, P = 0.009) and reduced saccade accuracy (direction bias = 7.4 ± 1.8 versus 6.5 ± 1.5 degrees, P = 0.006). There was a significant slowing of saccades and saccades became less accurate with worsening SAP sensitivity. Slower saccades were associated with increased odds of glaucoma; however, the AUC for saccade latency was only 0.635 compared to 0.914 for SVOP sensitivity., Conclusion: Patients with glaucoma had significant differences in eye movements compared to healthy subjects, with a relationship between slower and less accurate eye movements and worse glaucoma severity. However, in a multivariable model, eye movement parameters were not of additional benefit in differentiating eyes with glaucoma from healthy controls.

Purpose: To examine the diagnostic ability of saccadic vector optokinetic perimetry (SVOP), a new eye tracking perimeter, by assessing its capacity to differentiate healthy and glaucomatous participants, and to compare performance to standard automated perimetry (SAP). Methods: A prospective case‐control study including patients with glaucoma and healthy volunteers recruited from the glaucoma clinic at a university hospital and from the Scottish Health Research Register (SHARE). Participants underwent a comprehensive ophthalmic examination and performed SAP and SVOP in both eyes with the order of testing randomised. Results: 61 eyes of 31 participants with glaucoma and 47 eyes of 24 healthy participants were included in the study. Average SAP mean deviation (MD) in glaucomatous eyes was ‐8.72 ± 7.37 dB, with average SAP and SVOP sensitivities of 23.28 ± 0.89 dB and 22.1 ± 4.25 dB respectively. There was strong correlation between average SAP and SVOP sensitivities (r = 0.951 , P<0.001). On average, SAP sensitivity was 1.16 ± 1.43 dB higher than SVOP sensitivity, with 95% limits of agreement of ‐1.64 to 3.96 dB. SVOP average sensitivity had excellent ability to differentiate healthy and glaucomatous eyes with an AUC of 0.90 (95% CI 0.84 to 0.96), which was not significantly different to the performance of SAP average sensitivity (AUC = 0.92, 95% CI.0.86 to 0.97, P = 0.60) (Figure 6). SVOP had 85.2% sensitivity for 80% specificity, compared to 86.9% sensitivity for 80% specificity for SAP. Conclusions: The results of this study suggest that eye tracking perimetry using SVOP could offer a feasible alternative to SAP for detection of glaucoma. Overall, there was good agreement between differential light sensitivity values measured using SVOP and those measured using SAP, and average SVOP and SAP sensitivities had similarly good ability to differentiate glaucomatous and healthy eyes. [ABSTRACT FROM AUTHOR]