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%.
Axon guidance molecules, slit glycoprotein (Slit) and Roundabout receptors (Robo) were firstly identified in the central neural system of Drosophila melanogaster. The Slit-Robo signal plays a crucial role in axon guidance, inflammation, tumor metastasis and angiogenesis, of which the role of Slit2-Robo pathway in angiogenesis has drawn a greater attention and still remains conflicting. Herein, we provide a review on the role of Slit2-Robo pathway in ocular angiogenesis and vascularization of other organs and systems. We hope this review will be the basis of further study on the mechanism of Slit2-Robo signaling on angiogenesis and provide new target for the therapy on ocular vascular disease
The mineralocorticoid receptor (MR) belongs to the nuclear receptor superfamily and is expressed in the retina and choroid. MR antagonist (MRA) has a long history of application in non-ophthalmic clinical practice. Various cellular and animal models indicated that inappropriate activation of MR participated in pathological angiogenesis, oxidative stress, inflammation, disturbance of ion/water homeostasis and neurodegenerative changes, while the application of MRA can reduce or reverse these pathological processes. After using MRA in central serous chorioretinopathy (CSC) patients, improved visual function, less subretinal fluid and reduced sub-foveal choroidal thickness were observed. Single nucleotide polymorphisms in MR and plasma aldosterone levels were significantly different between chronic CSC patients and CSC patients with spontaneous remission. Novel formulation for sustained-release MRA and the mechanisms involving inflammation may become the new focus of MR study. This review summarizes the research status of MR and MRA in order to provide a reference for future basic research and clinical treatment.
ObjectiveTo analyze the distribution characteristics of peripheral retinopathy in Chinese patients with diabetic retinopathy (DR).MethodsA cross-sectional study. From January to December 2019, 265 cases of 388 eyes of DR patients diagnosed in the eye examination of Guangdong Provincial People's Hospital were included in the study. Among them, there were 211 eyes in 148 males and 177 eyes in 117 females; the average age was 58.4±12.3 years. Ultra-wide-angle fundus imaging (UWF) examination was performed by Daytona in Aalborg, UK. Use Photoshop to simulate the standard 7-azimuth (S7F) area, which was used as the central retinal area 1-7. The peripheral retinal areas 3-7 (P3-P7) were the adjacent peripheral retinal areas of the central retinal area 3-7, respectively. Divided DR into peripheral lesion predominant type (PPL) and central lesion predominant type (PCL). PPL was defined as at least one peripheral retinal area with more severe disease than its adjacent central area. χ2 test was performed on the difference of PPL composition ratio in each retinal area of eyes with different DR stages.ResultsAmong 388 eyes, 200 eyes were PPL (51.5%, 200/388). Compared of PPL composition ratios of eyes with different stages of DR, mild non-proliferative DR (NPDR), moderate NPDR, severe NPDR and proliferative DR were 32 (36.8%, 32/87), 89 (55.3%, 89/161)), 42 (51.9%, 42/81), 37 (62.6%, 37/59), the difference was statistically significant (χ2=11.440, P=0.010). Comparison of the distribution of PPL in each retinal area in DR eyes: in 200 PPL eyes, areas 3, 4, 5, 6, and 7 have 87, 101, 78, 67, and 38 eyes, respectively. The distribution of PPL in each retinal area in DR eyes was compared, and the difference was statistically significant (χ2=37.640, P＜0.001).ConclusionsPPL accounts for 51.5% of the eyes with DR. The DR stage are more severe, the proportion of PPL is higher. The temporal retinal peripheral lesions are the most common.
ObjectiveTo compare and analyze the application of anti-vascular endothelial growth factor (VEGF) drugs for intravitreal injection in the real world before and after the establishment of one-stop intravitreal injection center, as well as the advantages and disadvantages of different management modes. MethodsA retrospective clinical study. A total of 4 015 patients (4 659 eyes) who received anti-VEGF drugs for ocular fundus diseases at the Tianjin Medical University Eye Hospital from July, 2018 to June, 2022 were included in the study. There were 2 146 males and 1 869 females. The ocular fundus diseases in this study were as follows: 1 090 eyes of 968 patients with wet age-related macular degeneration (wAMD); 855 eyes of 654 patients with diabetic macular edema (DME); 1 158 eyes of 980 patients with diabetic retinopathy (DR); 930 eyes of 916 patients with macular edema secondary to retinal vein occlusion (RVO-ME). A total of 294 eyes of 275 patients with choroidal neovascularization secondary to pathological myopia (PM-CNV); 332 eyes of 222 patients with other fundus diseases. A total of 13 796 anti-VEGF needles were injected. A total of 1 252 patients (1 403 eyes) from July 2018 to June 2020 were regarded as the control group. From July 2020 to June 2022, 2 763 patients (3 256 eyes) who received anti-VEGF treatment in the intravitreal injection center were regarded as the observation group. The total number of intravitreal injection needles, the distribution of anti-VEGF therapy in each disease according to disease classification, the proportion of patients who chose the 3+ on-demand treatment (PRN) regimen and the distribution of clinical application of different anti-VEGF drugs were compared between the control group and the observation group. The waiting time and medical experience of patients were investigated by questionnaire. χ2 test was used to compare the count data between the two groups, and t test was used to compare the measurement data. ResultsAmong the 13 796 anti-VEGF injections in 4 659 eyes, the total number of anti-VEGF drugs used in the control and observation groups were 4 762 and 9 034, respectively, with an average of (3.39±3.78) and (2.78±2.27) injections per eye (t=6.900, P＜0.001), respectively. In the control and observation groups, a total of 1 728 and 2 705 injections of anti-VEGF drugs were used for wAMD with an average of (5.14±4.56) and (3.59±2.45) injections per eye, respectively; a total of 982 and 2 038 injections of anti-VEGF drugs were used for DME with an average of (4.36±4.91) and (3.24±2.77) needles per eye, respectively. Additionally, a total of 942 and 2 179 injections of anti-VEGF drugs were injected for RVO-ME with an average of (3.98±3.71) and (3.14±2.15) injections per eye, respectively; a total of 291 and 615 injections of anti-VEGF drugs were injected for PM-CNV with an average of (3.31±2.63) and (2.99±1.69) injections per eye, respectively. A total of 683 and 1 029 injections of anti-VEGF drugs were injected for DR with an average of (1.60±1.26) and (1.41±1.05) injections per eye, respectively. The clinical application and implementation of "3+PRN" treatment were as follows: 223 (66.4%, 223/336) and 431 eyes (57.2%, 431/754) in the wAMD (χ2=8.210, P=0.004), 75 (33.3%, 75/225) and 236 (37.5%, 236/630) eyes in the DME (χ2=1.220, P＞0.05), and 97 (40.9%, 97/237) and 355 eyes (51.2%, 355/693) in the RVO-ME (χ2=7.498, P=0.006), 39 (44.3%, 39/88) and 111 eyes (53.9%, 111/206) in the PM-CNV ( χ2=2.258, P＞0.05), respectively. In addition, the results of the questionnaire survey showed that there were significant differences between the control and observation groups regarding the time of appointment waiting for surgery (t=1.340), time from admission to entering the operating room on the day of injection (t=2.780), time from completing preoperative treatment preparation to waiting for entering the operating room (t=8.390), and time from admission to discharge (t=6.060) (P＜0.05). ConclusionsThe establishment of a one-stop intravitreal injection mode greatly improved work efficiency and increased the number of injections. At the same time, the compliance, waiting time, and overall medical experience of patients significantly improved under centralized management.
ObjectiveTo investigate the prevalence and risk factors of tessellation fundus (TF) among Tianjin Medical University students with different refractive statuses. MethodsA cross-sectional study. From September to December 2019, 346 students from Tianjin Medical University were randomly selected and underwent slit-lamp examination, non-cycloplegic auto-refraction, subjective refraction, best-corrected visual acuity, ocular biometric measurement, and non-dilation fundus photography. The differences in the prevalence of TF in basic characteristics and ocular biometric parameters were compared. Based on the equivalent spherical (SE), refractive status was divided into the non-myopia group (SE＞－0.50 D) and the myopia group (SE≤－0.50 D). The myopia group was further divided into mild myopia group (－3.00 D＜SE≤－0.50 D), moderate myopia group (－6.00 D＜SE≤－3.00 D), and high myopia group (SE≤－6.00 D). According to the axis length (AL), the subjects were divided into AL＜24 mm group, 24-26 mm group, and ＞26 mm group. The logistic regression was used to analyze the risk factors affecting TF. Trend tests were performed for each risk factor and TF. ResultsOf the 346 subjects, 324 (93.6%, 324/346) were myopia, of whom 73 (21.1%, 73/346), 167 (48.3%, 167/346), and 84 (24.3%, 84/346) were mild myopia, moderate myopia, and high myopia, respectively; 22 (6.4%, 22/346) were non-myopia. There were 294 (85.0%, 294/346) students with TF in the macula, including 9 (40.91%, 9/22), 58 (79.45%, 58/73), 145 (86.83%, 145/167), and 82 (97.62%, 82/84) in non-myopia, low myopia, moderate myopia, and high myopia group, respectively; 52 (15.0%, 52/346) students were without TF in the macula. There were statistically significant gender differences (χ2=4.47), SE (t=6.29), AL (t=－8.29), anterior chamber depth (Z=－2.62), lens thickness (Z=－2.23), and average corneal radius (Z=－3.58) between students with and without TF in the macula (P＜0.05). Spherical equivalent and axial length were independent risk factors for TF and its severity (P≤0.001). With an increasing degree of myopia, and increasing axial length, the risk of TF increased (P for trend＜0.001). ConclusionsThe prevalence of TF is 85.0% among Tianjin Medical University students. TF is detected in the fundus of no myopia, mild myopia, moderate myopia and high myopia. The degree of myopia is higher, the AL is longer, the possibility of TF is higher.