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Purpose: This study aimed to compare the safety and effectiveness of intraocular pressure reduction between micropulse transscleral cyclophotocoagulation and "slow cook" transscleral cyclophotocoagulation in patients with refractory primary open-angle glaucoma., Methods: We included patients with primary open angle glaucoma with at least 12 months of follow-up. We collected and analyzed data on the preoperative characteristics and postoperative outcomes. The primary outcomes were a reduction of ≥20% of the baseline value (criterion A) and/or intraocular pressure between 6 and 21 mmHg (criterion B)., Results: We included 128 eyes with primary open-angle glaucoma. The preoperative mean intraocular pressure was 25.53 ± 6.40 and 35.02 ± 12.57 mmHg in the micropulse- and "slow cook" transscleral cyclophotocoagulation groups, respectively (p<0.001). The mean intraocular pressure was reduced significantly to 14.33 ± 3.40 and 15.37 ± 5.85 mmHg in the micropulse- and "slow cook" transscleral cyclophotocoagulation groups at the last follow-up, respectively (p=0.110). The mean intraocular pressure reduction at 12 months was 11.20 ± 11.46 and 19.65 ± 13.22 mmHg in the micropulse- and "slow cook" transscleral cyclophotocoagulation groups, respectively (p<0.001). The median preoperative logMAR visual acuity was 0.52 ± 0.69 and 1.75 ± 1.04 in the micropulse- and "slow cook" transscleral cyclophotocoagulation groups, respectively (p<0.001). The mean visual acuity variation was -0.10 ± 0.35 and -0.074 ± 0.16 in the micropulse- and "slow cook" transscleral cyclophotocoagulation, respectively (p=0.510). Preoperatively, the mean eye drops were 3.44 ± 1.38 and 2.89 ± 0.68 drugs in the micropulse- and "slow cook" transscleral cyclophotocoagulation groups, respectively (p=0.017), but those were 2.06 ± 1.42 and 1.02 ± 1.46 at the end of the study in the "slow cook" and micropulse transscleral cyclophotocoagulation groups, respectively (p<0.001). The success of criterion A was not significant between both groups. Compared with 11 eyes (17.74%) in the "slow cook" transscleral cyclophotocoagulation group, 19 eyes (28.78%) in the micropulse transscleral cyclophotocoagulation group showed complete success (p=0.171). For criterion B, 28 (42.42%) and 2 eyes (3.22%) showed complete success after micropulse- and "slow cook" transscleral cyclophotocoagulation, respectively (p<0.001)., Conclusion: Both techniques reduced intraocular pressure effectively.

Purpose: Microperimetry has been used for several years as a form of visual function testing in patients with retinal diseases. Normal microperimetry values obtained with microperimeter MP-3 have not yet been fully published, and baseline values for topographic macular sensitivity and correlations with age and sex are needed to establish degrees of impairment. This study aimed to determine values for light sensitivity thresholds and fixation stability using the MP-3 in healthy individuals., Methods: Thirty-seven healthy volunteers (age, 28-68 years), underwent full-threshold microperimetry using a 4-2 (fast) staircase strategy with the standard Goldmann III stimulus size and 68 test points positioned identically to those in the Humphrey Field Analyzer 10-2 test grid. The fixation stability was simultaneously recorded during the microperimetry test. The relationship between global sensitivity and age was calculated using linear regression analysis., Results: Microperimetry was performed on 37 participants (74 eyes). The global mean sensitivity was 29.01 ± 1.44 (range, 26-31) dB. The mean central sensitivity at 2° measured by the MP-3 was 28.5 ± 1.77 dB in the right eye (OD) and 28.75 ± 1.98 dB in the left eye (OS). The total median fixation stability values within 2° and 4° were 80% and 96%, respectively. The linear regression analysis also revealed an age-related global sensitivity decline per year of -0.051 dB ± 0.018 (OD) and -0.078 dB ± 0.021 (OS)., Conclusions: Microperimetry performed with the MP-3 allows for an automatic, accurate, and topography-specific examination of retinal sensitivity thresholds. The results of this study provide a normal and age-matched database of MP-3 microperimetry.

Purpose: Microperimetry has been used for several years as a form of visual function testing in patients with retinal diseases. Normal microperimetry values obtained with microperimeter MP-3 have not yet been fully published, and baseline values for topographic macular sensitivity and correlations with age and sex are needed to establish degrees of impairment. This study aimed to determine values for light sensitivity thresholds and fixation stability using the MP-3 in healthy individuals., Methods: Thirty-seven healthy volunteers (age, 28-68 years), underwent full-threshold microperimetry using a 4-2 (fast) staircase strategy with the standard Goldmann III stimulus size and 68 test points positioned identically to those in the Humphrey Field Analyzer 10-2 test grid. The fixation stability was simultaneously recorded during the microperimetry test. The relationship between global sensitivity and age was calculated using linear regression analysis., Results: Microperimetry was performed on 37 participants (74 eyes). The global mean sensitivity was 29.01 ± 1.44 (range, 26-31) dB. The mean central sensitivity at 2° measured by the MP-3 was 28.5 ± 1.77 dB in the right eye (OD) and 28.75 ± 1.98 dB in the left eye (OS). The total median fixation stability values within 2° and 4° were 80% and 96%, respectively. The linear regression analysis also revealed an age-related global sensitivity decline per year of -0.051 dB ± 0.018 (OD) and -0.078 dB ± 0.021 (OS)., Conclusions: Microperimetry performed with the MP-3 allows for an automatic, accurate, and topography-specific examination of retinal sensitivity thresholds. The results of this study provide a normal and age-matched database of MP-3 microperimetry.

Background: Optical coherence tomography angiography (OCTA) is a relatively new non-invasive imaging technique to evaluate retinal vascular complexes. However, there is still a lack of standardization and reproducibility of its quantitative evaluation. Furthermore, manual analysis of a large amount of OCTA images makes the process laborious, with greater data variability, and risk of bias. Therefore, the aim of this study is to describe a fast and reproducible quantitative analysis of the foveal avascular zone (FAZ), macular superficial and deep vascular complexes (mSVC and mDVC, respectively), and peripapillary superficial vascular complex (pSVC) in OCTA images., Methods: We survey models and methods used for studying retinal microvasculature, and software packages used to quantify microvascular networks. These programs have provided researchers with invaluable tools, but we estimate that they have collectively achieved low adoption rates, possibly due to complexity for unfamiliar researchers and nonstandard sets of quantification metrics. To address these existing limitations, we discuss opportunities to improve effectiveness, affordability, and reproducibility of microvascular network quantification with the development of an automated method to analyze the vessels and better serve the current and future needs of microvascular research. OCTA images of the macula (10°x10°, 15°x15°, or 20°x20° centered on the fovea) and peripapillary area (15 × 15º centered on optic nerve head) were exported from the device and processed using the open-source software Fiji. The mSVC, mDVC, and pSVC were automatically analyzed regarding vascular density in the total area and four sectors (superior, inferior, nasal, and temporal). We also analyzed the FAZ regarding its area, perimeter, and circularity in the SVC and DVC images., Results: We developed an automated model and discussed a step by step method to analyze vessel density and FAZ of the macular SVC and DVC, acquired with OCTA using different fields of view. We also developed an automated analysis of the peripapillary SVC., Conclusion: Our developed automated analysis of macular and peripapillary OCTA images will allow a fast, reproducible, and precise quantification of SVC, DVC, and FAZ. It would also allow more accurate comparisons between different studies and streamlines the processing of images from multiple patients with a single command., (© 2022. The Author(s).)