Purpose: To report the clinical presentation and outcomes in patients with Valsalva retinopathy. Methods: This was a retrospective case series of patients diagnosed with Valsalva retinopathy between June 1, 2010, and May 31, 2020. Clinical notes, operative reports, fundus photography, and optical coherence tomography images were reviewed. Results: This study comprised 58 eyes of 58 patients. The most common causes were lifting (34.4%), vomiting (20.6%), straining (20.6%), and coughing (17.2%). Mean best-corrected visual acuity at diagnosis was 20/163. The most frequently involved vitreoretinal compartment was the subhyaloid space (42.3%) followed by the intraretinal (32.7%), intravitreal (23.1%), and subretinal (13.4%) spaces. Mean best-corrected visual acuity of all patients was 20/59 at 3 months, 20/48 at 6 months, and 20/22 at 1 year. Mean time to clearance of hemorrhage on clinical examination was 99.0 ± 18.7 days in patients who underwent observation and 4.5 ± 3.5 days after surgery in patients who received pars plana vitrectomy. Conclusion: Valsalva retinopathy is generally associated with a favorable visual prognosis. Most eyes perform well with observation although pars plana vitrectomy may be indicated in patients requiring rapid resolution of hemorrhage.
Purpose: This study evaluates a large language model, Generative Pre-trained Transformer 4 with vision, for diagnosing vitreoretinal diseases in real-world ophthalmology settings. Methods: A retrospective cross-sectional study at Bascom Palmer Eye Clinic, analyzing patient data from January 2010 to March 2023, assesses Generative Pre-trained Transformer 4 with vision's performance on retinal image analysis and International Classification of Diseases 10th revision coding across 2 patient groups: simpler cases (Group A) and complex cases (Group B) requiring more in-depth analysis. Diagnostic accuracy was assessed through open-ended questions and multiple-choice questions independently verified by three retina specialists. Results: In 256 eyes from 143 patients, Generative Pre-trained Transformer 4-V demonstrated a 13.7% accuracy for open-ended questions and 31.3% for multiple-choice questions, with International Classification of Diseases 10th revision code accuracies at 5.5% and 31.3%, respectively. Accurately diagnosed posterior vitreous detachment, nonexudative age-related macular degeneration, and retinal detachment. International Classification of Diseases 10th revision coding was most accurate for nonexudative age-related macular degeneration, central retinal vein occlusion, and macular hole in OEQs, and for posterior vitreous detachment, nonexudative age-related macular degeneration, and retinal detachment in multiple-choice questions. No significant difference in diagnostic or coding accuracy was found in Groups A and B. Conclusion: Generative Pre-trained Transformer 4 with vision has potential in clinical care and record keeping, particularly with standardized questions. Its effectiveness in open-ended scenarios is limited, indicating a significant limitation in providing complex medical advice.
Purpose: To evaluate the visual outcomes with unexplained vision loss during or after silicone oil (SO) tamponade. Methods: This multicenter retrospective case series comprised patients with unexplained vision loss associated with SO tamponade or its removal. Eyes with other clear secondary identifiable causes of vision loss were excluded. Results: Twenty-nine eyes of 28 patients (64% male) were identified. The mean age was 50 ± 13 years (range, 13-78 years). The mean duration of SO tamponade was 148 ± 38 days. Eighteen eyes (62%) developed unexplained vision loss while under SO; 11 (38%) had vision loss after SO removal. The most common optical coherence tomography (OCT) finding was ganglion cell layer (GCL) thinning (55%). Eyes with vision loss after SO removal had a mean logMAR best-corrected visual acuity (BCVA) of 0.6 ± 0.7 (Snellen 20/85) before SO tamponade and 1.2 ± 0.4 (20/340) before SO removal. By the last follow-up after SO removal, the BCVA had improved to 1.1 ± 0.4 (20/235). In eyes with vision loss after SO removal, the BCVA before SO removal was 0.7 ± 0.7 (20/104), which deteriorated to 1.4 ± 0.4 (20/458) 1 month after SO removal. By the last follow-up, the BCVA had improved to 1.0 ± 0.5 (20/219). Conclusions: Unexplained vision loss can occur during SO tamponade or after SO removal. Vision loss was associated with 1000-centistoke and 5000-centistoke oil and occurred in macula-off and macula-on retinal detachments. The duration of tamponade was 3 months or longer in the majority of eyes. Most eyes had GCL thinning on OCT. Gradual visual recovery can occur yet is often incomplete.
Purpose: We evaluated the clinical outcomes of intraocular inflammation (IOI) of eyes with neovascular age-related macular degeneration (AMD) injected with brolucizumab in our tertiary referral center. Methods: A retrospective case series for which clinical records of all eyes that received intravitreal brolucizumab at Bascom Palmer Eye Institute between December 1, 2019, and April 1, 2021, were reviewed. Results: There were 345 eyes of 278 patients who received 801 brolucizumab injections. IOI was detected in 16 eyes of 13 patients (4.6%). In those patients, baseline Logarithm of Minimu Angle of Resolution (logMAR) best-corrected visual acuity was 0.32 0.2 (20/42), while it was 0.58 0.3 (20/76) at IOI presentation. The mean number of injections among eyes experiencing IOI was 2.4, and the interval between the last brolucizumab injection and IOI presentation was 20 days. There was no known case of retinal vasculitis. Management of IOI included topical steroids in seven eyes (54%), topical and systemic steroids in five eyes (38%), and observation in one eye (8%). Best-corrected visual acuity returned to baseline and inflammation resolved in all eyes by the last follow-up examination. Conclusion: Intraocular inflammation after brolucizumab injection for neovascular AMD was not uncommon. Inflammation resolved in all eyes by the last follow-up visit.
Since its introduction, optical coherence tomography (OCT) has significantly progressed in addressing its limitations. By integrating artificial intelligence and multimodal imaging, OCT enhances both speed and image quality while reducing its size. OCT continues to advance, offering new possibilities beyond the in-office setting, including intraoperative applications. This review will explore the different types of home OCT and intraoperative OCT, as well as the uses of each device and their future potential in ophthalmology.