Ashourizadeh, Helia

Précis: Using a CNN-enhanced platform, 60-4 visual fields identified peripheral glaucomatous defects missed by central testing in mild cases; facial contour correction showed these defects occurred exclusively outside the temporal visual field. Purpose: To develop a methodology to separate facial contour-induced visual field defects from defects related to glaucoma in patients with peripheral field defects. Methods: Ninety-seven eyes from 50 patients previously diagnosed with glaucoma were enrolled in the study. Thirty-one (62%) participants were male, and 86% were white. The study involved patients with glaucoma who underwent visual field testing using standard automated perimetry, including 10-2, 24-2, 30-2, and 60-4 visual fields. A convolutional neural network (CNN)-enhanced platform, previously developed to identify facial contour-dependent defects in healthy subjects, was used to analyze the visual field data. Patients: The study included 97 eyes from 50 patients with glaucoma, with the majority having primary open angle glaucoma. Results: In 90 out of 97 eyes, there were 60-4 visual field defects. However, 20 (22%) of these eyes did not have glaucomatous defects on the 10-2 or 30-2 visual fields. All patients with 60-4 defects in the absence of more central defects had mild glaucoma, and these eyes comprised 38% of the mild glaucoma group. 60-4 visual field increased the sensitivity of identifying glaucoma in mild disease. Without facial contour, the 60-4 visual field mean threshold summation was 1099.6±346.6 dB, and decreased to 1057±331 dB when accounting for facial contour, which affected 8.03%±4.02% of test points. Facial contour-dependent visual field defects were exclusively found outside the temporal visual field. Conclusion: The study demonstrated the potential utility of 60-4 visual fields for identifying early functional glaucomatous changes that may not be detected by more central visual field tests (10-2 or 30-2). It may be important to consider peripheral visual field defects, which can be affected by facial contour, in the diagnosis and monitoring of glaucoma, particularly in mild cases.

Adaptive optics (AO) retinal imaging enables individual photoreceptors to be visualized in the clinical setting. AO imaging can be a powerful clinical tool for detecting photoreceptor degeneration at a cellular level that might be overlooked through conventional structural assessments, such as spectral-domain optical coherence tomography (SD-OCT). Therefore, AO imaging has gained significant interest in the study of photoreceptor degeneration, one of the most common causes of inherited blindness. Growing evidence supports that AO imaging may be useful for diagnosing early-stage retinal dystrophy before it becomes apparent on fundus examination or conventional retinal imaging. In addition, serial AO imaging may detect structural disease progression in early-stage disease over a shorter period compared to SD-OCT. Although AO imaging is gaining popularity as a structural endpoint in clinical trials, the results should be interpreted with caution due to several pitfalls, including the lack of standardized imaging and image analysis protocols, frequent ocular comorbidities that affect image quality, and significant interindividual variation of normal values. Herein, we summarize the current state-of-the-art AO imaging and review its potential applications, limitations, and pitfalls in patients with inherited retinal diseases.