Background: The purpose of this study was to develop an automated diagnosis and quantitative analysis system for plus disease. The system provides a diagnostic decision but also performs quantitative analysis of the typical pathological features of the disease, which helps the physicians to make the best judgement and communicate the decisions. Methods: The deep learning network provided segmentation of the retinal vessels and the optic disc (OD). Based on the vessel segmentation, plus disease was classified and tortuosity, width, fractal dimension and vessel density were evaluated automatically. Results: Thetrainednetworkachievedasensitivityof95.1%with97.8%specificityfor the diagnosis of plus disease. For detection of preplus or worse, the sensitivity and specificity were 92.4% and 97.4%. The quadratic weighted k was 0.9244. The tortuosities for the normal, preplus and plus groups were 3.61 AE 0.08, 5.95 AE 1.57 and 10.67 AE 0.50 (10 4 cm À3 ). The widths of the blood vessels were 63.46 AE 0.39, 67.21 AE 0.70 and 68.89 AE 0.75 lm. The fractal dimensions were 1.18 AE 0.01, 1.22 AE 0.01 and 1.26 AE 0.02. The vessel densities were 1.39 AE 0.03, 1.60 AE 0.01 and 1.64 AE 0.09 (%). All values were statistically different among the groups. After treatment for plus disease with ranibizumab injection, quantitative analysis showed significant changes in the pathological features. Conclusions: Our system achieved high accuracy of diagnosis of plus disease in retinopathy of prematurity. It provided a quantitative analysis of the dynamic features of the disease progression. This automated system can assist physicians by providing a classification decision with auxiliary quantitative evaluation of the typical pathological features of the disease.
Purpose To determine the relationship between vision-related quality of life, metamorphopsia, and stereopsis after successful surgery to correct rhegmatogenous retinal detachment (RRD). Patients and methods Data were obtained from 30 patients with RRD who had scleral buckle surgery or vitrectomy. Age, gender, duration of blurred vision, the best-corrected visual acuity (BCVA), extent of detachment, and the location of retinal tears were measured before surgery. Approximately 1 year after surgery, stereopsis was measured with the Randot stereo test, visual acuity (VA) was measured using a Snell VA acuity measurement at a distance of 5 m and was presented as a linear LogMAR value, metamorphopsia was examined using an M-chart, and vision-related quality of life was determined using the 25-Item National Eye Institute Visual Function Questionnaire (VFQ-25). Results All of the patients achieved anatomical retinal reattachment. There was a significant difference between preoperative BCVA (0.78 ± 0.72) and BCVA 1 year postoperatively (0.25 ± 0.25) (Po0.05). Twenty-three patients had visual distortion postoperatively, including vertical metamorphopsia (0.53 ± 0.52°), and horizontal metamorphopsia (0.48 ± 0.53°). Twenty patients had no stereopsis. The composite score of VFQ-25 was 76.60 postoperatively. Significant differences in postoperative BCVA, metamorphopsia, and VFQ-25 were found between macula-on and macula-off groups (all Po0.05). There was a negative correlation between VFQ-25 composite score and metamorphopsia (Po0.005); there was no significant correlation between VFQ-25 composite score and BCVA or stereopsis. Conclusion Vision-related quality of life correlated with metamorphopsia, but did not correlate with VA or stereopsis.
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