Retinal macrophages and (or) microglial cells play important roles in regulating inflammation, angiogenesis and tissue repairing, thus affect the development and prognosis of ischemic retinal disease, ocular immune diseases and ocular tumors. Reversing the polarization imbalance of these cells may provide new therapeutic strategies for ischemic retinal disease and ocular immune diseases. The duality of the polarization direction of these cells is still controversial in the inflammatory reaction and pathological angiogenesis of ischemic retinal disease. Meanwhile, the plasticity and diversity of the function need to be further studied and discussed.
ObjectiveTo observe the changes in choroidal characteristics of polypoid choroidal vascular disease (PCV) eyes after intravitreal injection of anti-VEGF drugs, and to preliminarily evaluate its predictive effect on the response of PCV anti-VEGF drugs.MethodsA retrospective clinical study. From January 2015 to May 2020, 63 eyes (63 PCV patients) diagnosed in NanJing Medical University Eye Hospital were included in the study. There were 39 eyes (39 males) and 24 eyes (24 females); all were monocular, with the average age of 62.53±6.05 years old. All eyes were treated with intravitreal injection of ranibizumab, and those with poor response after treatment were treated with photodynamic therapy (PDT) combined with anti-VEGF drugs. Among the 63 eyes, 38 eyes did not respond or responded poorly after treatment, and 25 eyes responded well. Based on response results, patients were divided into the poor response group and the good response group. The confocal laser synchronous angiography system (HRA+OCT) enhanced depth scanning technology of Herdelberg (Germany) was used to measure the foveal choroid thickness (SFCT) and the choroidal large vessel thickness (LCVT). The choroidal hyperpermeability (CVH) was judged based on the ICGA inspection results. CVH: In the middle and late stages (10-15 min after indocyanine green injection), the choroid of the posterior pole can be seen with multifocal strong fluorescence with blurred edges. The SFCT and LVCT changes of the two groups of eyes before treatment and 6 months after treatment in the good response group, and 6 months after the treatment of the poor response group combined with PDT were observed. SFCT and LCVT were compared with t test before and after treatment.ResultsBefore treatment, of the 63 eyes, 38 eyes (60.3%) with CVH manifestations, of which 5 eyes (20.0%, 5/25) and 33 eyes (86.8%, 33/ 38). The SFCT and LCVT of the good response group and the poor response group were 244.16±23.74, 152.76±22.70 μm and 367.34±35.21, 271.84±35.42 μm, respectively. The comparison of SFCT and LVCT between the two groups of eyes before treatment showed statistically significant differences (t=7.24, 6.87; P=0.01, 0.01). Six months after treatment, the SFCT and LVCT of the eyes in the good response group were 241.04±32.56 and 150.44±23.45 μm, respectively; compared with those before treatment, the difference was not statistically significant (t=5.35, 8.64; P=0.08, 0.07). Six months after the poor response group combined with PDT treatment, SFCT and LCVT were 311.63±25.36 and 220.11±41.30 μm respectively; compared with those before treatment, the difference was statistically significant (t=6.84, 9.23; P=0.02, 0.01). After treatment, the CVH manifestations of all the eyes did not change significantly, but the eyes of the poor response group were treated with PDT, and the multifocal strong fluorescence was significantly weakened.ConclusionsPCV thick choroid is mostly caused by abnormal thickening of choroidal large vessels. Eyes with thick choroid and CVH have poor response to anti-VEGF drug therapy alone, and combined PDT therapy may be more suitable for this type of patients.
ObjectiveTo observe the safety and effectiveness of targeted navigation laser with continuous wave threshold power in the treatment of chronic central serous chorioretinopathy (CCSC).MethodsA retrospective clinical study. From November 2018 to June 2020, 28 eyes of 28 patients with CCSC diagnosed in the Eye Hospital of Nanjing Medical University were included in the study. Among them, there were 17 males with 17 eyes and 11 females with 11 eyes; all of them had a monocular disease. The average age of the patients was 36.24±5.14 years, and the average course of the diseases was 4.7±1.3 months. All affected eyes underwent best corrected visual acuity (BCVA), fluorescein fundus angiography, fundus autofluorescence, frequency domain optical coherence tomography and angiography, multifocal electroretinogram (mf-ERG) and micro field inspection. BCVA was carried out using the international standard visual acuity chart, which was converted into the logarithmic minimum angle of resolution (logMAR) visual acuity during statistics. A targeted navigation laser system was used for continuous wave power therapy under the threshold. Two weeks and 1, 3 months after treatment, the same equipment and methods as before treatment were used to perform related examinations to observe the BCVA, subfoveal choroidal thickness (SFCT), foveal retinal thickness (CMT), the mean light sensitivity (MS) in the 10° range of the macular center, and the amplitude density of P1 wave at ring 1 and 2. The t test was used to compare CMT, SFCT, retinal amplitude density and MS before and after treatment.ResultsBefore treatment and 2 weeks, 1 and 3 months after treatment, the average logMAR BCVA of the eyes were 0.74±0.16, 0.57±0.16, 0.22±0.05, 0.21±0.06, and the average CMT was 512.33±31.56, 350.40±36.61, 256.49±22.38, 253.45±23.65 μm respectively, the average SFCT was 462.82±25.38, 462.37±39.54, 461.51±29.36, 461.25±34.55 μm, the average MS was 16.32±5.41, 17.53±4.23, 19.52±4.12, 21.35±2.77 dB respectively. At different times before and after treatment, BCVA (t=6.52, 5.71, 6.01; P=0.00, 0.00, 0.00), CMT (t=3.08, 6.57, 4.90; P=0.01, 0.00, 0.00), SFCT (t=7.01, 6.54, 4.85; P=0.08, 0.07, 0.17), MS (t=6.17, 4.25, 5.46; P=0.02, 0.00, 0.00), the difference was statistically significant. The amplitude density of P1 wave at ring 1 in the affected eye was 64.37±18.25, 85.31±13.98, 98.35±14.52, 98.40±22.17 nV/deg2, and the amplitude density of P1 wave at ring2 was 36.12±18.32, 44.02±17.15, 62.35±14.85, 63.17±15.79 nV/deg2. The amplitude density of P1 wave at ring 1 (t=5.11, 9.03, 4.27; P=0.03, 0.00, 0.00) and ring 2 (t=5.11, 9.03, 4.27; P=0.03, 0.00, 0.00) before and after treatment showed statistical significance.ConclusionTargeted navigation laser continuous wave threshold power treatment for CCSC can increase the BCVA, macular retinal amplitude density and macular foveal MS, and reduce CMT and SFCT.
ObjectiveTo study the characteristics of the genotype and phenotypic in a family with X-linked retinoschisis (XLRS) due to RS1 mutation. MethodsA retrospective clinical study. An XLRS family of 4 generations of 26 people were included in the study. Among them, 8 participants were males and 7 participants were females. Routine ophthalmologic examination was performed on 3 patients in the family including the proband and 12 patients with normal phenotype. Optical coherence tomography was performed in 2 of the 3 patients. Peripheral venous blood was extracted from all participants, whole-genome DNA was extracted, and potential pathogenic genes were screened by Panel sequencing. Conservative analysis, pathogenicity analysis and protein structure prediction were carried out by software tools. The pathogenicity of gene mutations was analyzed according to the American Society of Medical Genetics and Genomics (ACMG) guidelines. ResultsThe proband was 3 years old. Optical coherence tomography (OCT) examination showed that the retinal core layer in the macular area of both eyes had a cystic change, which was segmented by vertical or oblique bridging tissue. The proband's uncle was 32 years old. OCT examination showed atrophy in the macular area of the left eye. The macular area of the right eye was cystoid, segmented by vertical or oblique bridging tissue. No abnormality was found in the fundus examination of the proband's parents and 10 members of his family. Panel sequencing showed that c.361C>T/ p.Q121X hemizygous mutation was found in the fifth exon of RS1 gene in the proband (Ⅳ3) and 2 patients (Ⅱ1, Ⅲ8). The mother was a heterozygous mutation carrier of the gene, while the father had no mutation. The mutant gene causes premature termination of RS1, a truncated protein encoding 224 amino acids to 120 amino acids. Of the 10 patients with normal fundus examination, 6 participants were normal. The mutation was carried by four people, which were women. Homology analysis of the protein sequence showed that the mutant site was highly conserved in 12 mammals. Three-dimensional structural analysis of RS1 protein showed that the c-terminal amino acid sequence of the mutant protein was more than 50% missing. Analysis of ACMG guidelines indicated that the mutation was pathogenic. ConclusionThe RS1 mutation site c.361C>T/p.Q121X is a new mutation site of XLRS.
ObjectiveTo observe the diagnostic value of six classification intelligent auxiliary diagnosis lightweight model for common fundus diseases based on fundus color photography. MethodsA applied research. A dataset of 2 400 color fundus images from Nanjing Medical University Eye Hospital and Zhejiang Mathematical Medical Society Smart Eye Database was collected, which was desensitized and labeled by a fundus specialist. Of these, 400 each were for diabetic retinopathy, glaucoma, retinal vein occlusion, high myopia, age-related macular degeneration, and normal fundus. The parameters obtained from the classical classification models VGGNet16, ResNet50, DenseNet121 and lightweight classification models MobileNet3, ShuffleNet2, GhostNet trained on the ImageNet dataset were migrated to the six-classified common fundus disease intelligent aid diagnostic model using a migration learning approach during training as initialization parameters for training to obtain the latest model. 1 315 color fundus images of clinical patients were used as the test set. Evaluation metrics included sensitivity, specificity, accuracy, F1-Score and agreement of diagnostic tests (Kappa value); comparison of subject working characteristic curves as well as area under the curve values for different models. ResultCompared with the classical classification model, the storage size and number of parameters of the three lightweight classification models were significantly reduced, with ShuffleNetV2 having an average recognition time per sheet 438.08 ms faster than the classical classification model VGGNet16. All 3 lightweight classification models had Accuracy > 80.0%; Kappa values > 70.0% with significant agreement; sensitivity, specificity, and F1-Score for the diagnosis of normal fundus images were ≥ 98.0%; Macro-F1 was 78.2%, 79.4%, and 81.5%, respectively. ConclusionThe intelligent assisted diagnosis of common fundus diseases based on fundus color photography is a lightweight model with high recognition accuracy and speed; the storage size and number of parameters are significantly reduced compared with the classical classification model.