ObjectiveTo observe and explore the fundus characteristics and fundus fluorescein angiography of familial exudative vitreoretinopathy (FEVR) in different stages. MethodsA total of 15 patients (23 eyes) diagnosed as FEVR in the West China Hospital of Sichuan University from January 2007 to November 2013 were included. Clinical data and reports of fundus exams and fundus fluorescein angiography (FFA) were retrospectively analyzed. ResultsOne eye (4.35%) was classified as stage Ⅰ, 10 eyes (43.48%) were classified as stage Ⅱ, 8 eyes (34.78%) were classified as stage Ⅲ, and 1 eye (4.35%) and 3 eyes (13.04%) were classified as stage Ⅳ and V, respectively. The outcomes of fundus exams showed that the number of peripheral retinal blood vessels increased, and vessels straightened as well as narrowed, especially in the temporal area. FFA showed blood vessels suddenly shut in the equatorial retina and peripheral non-perfusion areas were observed. ConclusionTypical fundus characteristics and fundus fluorescein angiography changes of FEVR can be observed in different stages. Comprehensive fundus exams and family history are helpful to confirm relevant diagnosis.
ObjectiveTo compare the consistency of artificial analysis and artificial intelligence analysis in the identification of fundus lesions in diabetic patients.MethodsA retrospective study. From May 2018 to May 2019, 1053 consecutive diabetic patients (2106 eyes) of the endocrinology department of the First Affiliated Hospital of Zhengzhou University were included in the study. Among them, 888 patients were males and 165 were females. They were 20-70 years old, with an average age of 53 years old. All patients were performed fundus imaging on diabetic Inspection by useing Japanese Kowa non-mydriatic fundus cameras. The artificial intelligence analysis of Shanggong's ophthalmology cloud network screening platform automatically detected diabetic retinopathy (DR) such as exudation, bleeding, and microaneurysms, and automatically classifies the image detection results according to the DR international staging standard. Manual analysis was performed by two attending physicians and reviewed by the chief physician to ensure the accuracy of manual analysis. When differences appeared between the analysis results of the two analysis methods, the manual analysis results shall be used as the standard. Consistency rate were calculated and compared. Consistency rate = (number of eyes with the same diagnosis result/total number of effective eyes collected) × 100%. Kappa consistency test was performed on the results of manual analysis and artificial intelligence analysis, 0.0≤κ＜0.2 was a very poor degree of consistency, 0.2≤κ＜0.4 meant poor consistency, 0.4≤κ＜0.6 meant medium consistency, and 0.6≤κ＜1.0 meant good consistency.ResultsAmong the 2106 eyes, 64 eyes were excluded that cannot be identified by artificial intelligence due to serious illness, 2042 eyes were finally included in the analysis. The results of artificial analysis and artificial intelligence analysis were completely consistent with 1835 eyes, accounting for 89.86%. There were differences in analysis of 207 eyes, accounting for 10.14%. The main differences between the two are as follows: (1) Artificial intelligence analysis points Bleeding, oozing, and manual analysis of 96 eyes (96/2042, 4.70%); (2) Artificial intelligence analysis of drusen, and manual analysis of 71 eyes (71/2042, 3.48%); (3) Artificial intelligence analyzes normal or vitreous degeneration, while manual analysis of punctate exudation or hemorrhage or microaneurysms in 40 eyes (40/2042, 1.95%). The diagnostic rates for non-DR were 23.2% and 20.2%, respectively. The diagnostic rates for non-DR were 76.8% and 79.8%, respectively. The accuracy of artificial intelligence interpretation is 87.8%. The results of the Kappa consistency test showed that the diagnostic results of manual analysis and artificial intelligence analysis were moderately consistent (κ=0.576, P＜0.01).ConclusionsManual analysis and artificial intelligence analysis showed moderate consistency in the diagnosis of fundus lesions in diabetic patients. The accuracy of artificial intelligence interpretation is 87.8%.
Objective To observe the change of retinal artery angle in eyes with idiopathic epiretinal membrane (ERM) and to analyze the relationship between retinal artery angle, ERM classification based on optical coherence tomography (OCT), and visual acuity. MethodsA retrospective cross-sectional clinical study. A total of 187 eyes in 187 patients diagnosed with monocular idiopathic ERM (IERM group) in Department of Ophthalmology of Zhejiang Provincial People's Hospital and the Affiliated Eye Hospital of Wenzhou Medical University at Hangzhou from November 2018 to January 2023 were included in the study. The contralateral healthy eyes were included as the control group. All patients underwent best corrected visual acuity (BCVA), fundus photography, spectral-domain OCT, OCT angiography (OCTA) and axial length (AL) measurement. BCVA examination was performed using the standard logarithmic visual acuity chart, which was converted to the logarithm of the minimum angle of resolution (logMAR) visual acuity. The foveal avascular zone (FAZ) area was measured by OCTA. The central macular thickness (CMT) was measured by spectral domain OCTaccording to the grading criteria of ectopic inner foveal layer (EIFL) was divided into stages 1 to 4 with 42, 45, 62, and 38 eyes, and the IERM group was subdivided into stage 1, stage 2, stage 3, and stage 4 groups accordingly. Image J was used to measure the retinal artery angle and the 1/2 retinal artery angle on fundus images. Multiple linear regression analysis was used to analyze the correlation between BCVA and artery angle, 1/2 artery Angle, CMT, FAZ area and AL. ResultsCompared with the control group, eyes in IERM group had worse BCVA (t=9.727), thicker CMT (t=12.452), smaller FAZ area (t=－14.329), smaller artery angle (t=－9.165) and smaller 1/2 artery angle (t=－9.549). The differences were statistically significant (P＜0.001). With the increase of IERM stage, the artery angle and 1/2 artery angle decreased significantly (F=21.763, 12.515; P＜0.001). There was no significant difference in artery angle and 1/2 artery angle between stage 1 group and stage 2 group, and 1/2 arterial angle between stage 2 group and stage 3 group (P＞0.05). There were significant differences in artery angle and 1/2 artery angle between the other groups (P＜0.05). There were significant differences in CMT and logMAR BCVA among different classification subgroups in IERM groups (P＜0.05). There was no significant difference in FAZ area between grade 3 group and grade 4 group (P＞0.05). There were significant differences in FAZ area between the other groups (P＜0.05). Correlation analysis showed that decreased artery angle (P=0.013) and increased CMT (P＜0.001) were associated with decreased BCVA. ConclusionsCompared with healthy eyes, the artery angle decreases significantly with the increase of ERM stage. Decreased retinal artery angle is associated with decreased visual acuity in IERM eyes.