Machine Learning-based Auto-merge Program for Nine-directional Ocular Photography

Purpose@#This study introduces a new machine learning-based auto-merge program (HydraVersion) that automatically combines multiple ocular photographs into single nine-directional ocular photographs. We compared the accuracy and time required to generate ocular photographs between HydraVersion and PowerPoint. @*Methods@#This was a retrospective study of 2,524 sets of 250 nine-directional ocular photographs (134 patients) between March 2016 and June 2022. The test dataset comprised 74 sets of 728 photographs (38 patients). We measured the time taken to generate nine-directional ocular photographs using HydraVersion and PowerPoint, and compared their accuracy. @*Results@#HydraVersion correctly combined 71 (95.95%) of the 74 sets of nine-directional ocular photographs. The average working time for HydraVersion and PowerPoint was 2.40 ± 0.43 and 255.9 ± 26.7 seconds, respectively; HydraVersion was significantly faster than PowerPoint (p < 0.001). @*Conclusions@#Strabismus and neuro-ophthalmology centers are often unable to combine and store photographs, except those of clinically significant cases, because of a lack of time and manpower. This study demonstrated that HydraVersion may facilitate treatment and research because it can quickly and conveniently generate nine-directional ocular photographs.

Long-term Outcome of Anterior Chamber Parameters after Laser Iridotomy and Iridoplasty in Primary Angle Closure Glaucoma

Purpose@#To investigate the long-term outcomes of anterior chamber angle parameters in patients with primary angle closure glaucoma (PACG) after peripheral laser iridotomy (LI) combined with iridoplasty (PI) using a dual Scheimpflug analyzer. @*Methods@#This retrospective study included 32 eyes in 32 patients diagnosed with PACG who underwent LI plus PI. Patients with an acute angle closure crisis were excluded. Dual Scheimpflug analyzer images were acquired before and 1 week after LI plus PI, and yearly afterwards. Anterior chamber depth (ACD) and volume (ACV), mean anterior chamber angle (ACA), and intraocular pressure (IOP) were also measured. @*Results@#The mean follow-up was 32.28 ± 13.34 months. Baseline demographics were age 63 ± 7.9 years, 62.5% female, IOP 15.48 ± 4.79 mmHg, ACD 2.09 ± 0.19 mm, and visual field mean deviation -7.97 ± 8.49 dB. ACD increased from baseline to 2.15 ± 0.32 mm, but it was not significant (p = 0.136). ACV increased significantly from 78.32 ± 11.49 mm at baseline to 83.04 ± 11.16 mm at the last visit after LI (p = 0.011). The mean ACA increased significantly from 26.86 ± 2.53° at baseline to 28.82 ± 4.64° at the last visit (p = 0.022). IOP decreased significantly from baseline to 13.06 ± 2.21 mmHg at the last visit (p = 0.001). @*Conclusions@#The ACA parameters improved after LI combined with PI in patients with PACG and remained so on long-term follow-up. IOP was also significantly reduced for more than 2.5 years after LI plus PI.

Repeatability of Bruch’s Membrane Opening-minimum Rim Width in Age-related Macular Degeneration and Diabetic Macular Edema

Purpose@#To evaluate the repeatability of retinal nerve fiber layer (RNFL) thickness and Bruch’s membrane opening-minimum rim width (BMO-MRW) measurements by spectral-domain optical coherence tomography (SD-OCT) in wet age-related macular degeneration (wAMD) and diabetic macular edema (DME). @*Methods@#This was a prospective study. The RNFL thickness and BMO-MRW parameters for each sector and global average were measured twice by SD-OCT. Repeatability was evaluated using the intraclass correlation coefficient (ICC) and coefficient of variation (CV). If the optic disc membrane was confirmed, it was analyzed by dividing it into three groups based on severity. @*Results@#A total of 99 eyes (48 with wAMD, 51 with DME) were included in the analysis. The ICCs of the global RNFL thickness and global BMO-MRW measurements were 0.996 and 0.997, respectively, in wAMD and 0.994 and 0.996, respectively, in DME eyes. The CV values of global RNFL thickness and BMO-MRW were 0.60% and 0.73%, respectively, in wAMD eyes and 1.10% and 1.21%, respectively, in DME eyes. The disc membrane on the optic nerve head significantly affected global BMO-MRW repeatability (B = 0.814, p < 0.001). @*Conclusions@#Both RNFL thickness and BMO-MRW measurements showed good repeatability in eyes with wAMD and DME. The severity of the optic disc membrane significantly affected the repeatability of BMO-MRW measurements in eyes with wAMD and DME. Therefore, physicians should examine the BMO-MRW in eyes with severe optic disc membrane.

Thickness of the Macula, Retinal Nerve Fiber Layer, and Ganglion Cell-inner Plexiform Layer in the Macular Hole: The Repeatability Study of Spectral-domain Optical Coherence Tomography

PURPOSE: We measured the thicknesses of the ganglion cell and inner plexiform layer (GCIPL), the macula, and the retinal nerve fiber layer (RNFL) using spectral-domain optical coherence tomography in patients with idiopathic macula holes to analyze the repeatability of these measurements and compare them with those of the fellow eye. METHODS: We evaluated 85 patients who visited our retinal clinic. The patients were divided into two groups according to their macular hole size: group A had a size of <400 µm, while group B had a size of ≥400 µm. Repeatability was determined by comparing the thicknesses of the GCIPL, macula, and RNFL with those of the normal fellow eye. RESULTS: The average central macular thickness in patients with macular holes was significantly thicker than that in the normal fellow eye (343.8 ± 78.6 vs. 252.6 ± 62.3 µm, p < 0.001). The average thickness of the GCIPL in patients with macular holes was significantly thinner than that in the normal fellow eye (56.1 ± 23.4 vs. 77.1 ± 12.8 µm, p < 0.001). There was no significant difference in the average RNFL thickness between eyes with macular holes and fellow eyes (92.4 ± 10.0 vs. 95.5 ± 10.7 µm, p = 0.070). There were also no significant differences in the thicknesses of the GCIPL and RNFL among the two groups (p = 0.786 and p = 0.516). The intraclass correlation coefficients for the macula and RNFL were 0.994 and 0.974, respectively, in patients with macular holes, while that for the GCIPL was 0.700. CONCLUSIONS: Macular contour change with macular hole results in low repeatability and a tendency of thinner measurement regarding GCIPL thickness determined via spectral-domain optical coherence tomography. The impact of changes in the macular shape caused by macular holes should be taken into consideration when measuring the GCIPL thickness in patients with various eye diseases such as glaucoma and in those with neuro-ophthalmic disorders.