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find Keyword "Macular neovascularization" 3 results
  • Research progress of subretinal fibrosis associated with neovascular age-related macular degeneration

    The severe visual impairment caused by neovascular age-related macular degeneration (nAMD) is associated with macular neovascularization (MNV) invasion and subretinal fibrosis (SF). Excessive SF can lead to subretinal scarring, irreversible damage to photoreceptors, retinal pigment epithelium, and choroid tissue, resulting in permanent visual impairment in nAMD patients. The pathogenesis of SF is complex, involving many pathological processes such as tissue repair after injury, inflammation, and related signaling pathways and cytokine complex. Current experimental treatments for SF only target inhibition of a single cytokine. Timely and effective inhibition of the formation and progression of MNV and early identification of risk factors for SF are crucial to improving the prognosis of nAMD patients.

    Release date:2024-04-10 09:54 Export PDF Favorites Scan
  • Analysis of influencing factors for the prognosis of anti-vascular endothelial growth factor drug treatment in patients with macular neovascularization under 45 years old

    ObjectiveTo observe and analyze the influencing factors for the prognosis of anti-vascular endothelial growth factor (VEGF) drug treatment in patients with macular neovascularization (MNV) under 45 years old. MethodsA retrospective clinical case study. A total of 89 MNV patients with 96 eyes who were diagnosed and treated with anti-VEGF drugs in Department of Ophthalmology of The Second Hospital of Lanzhou University from January 2020 to January 2024 were included in the study. The ages of all patients were <45 years old. All patients underwent best corrected visual acuity (BCVA) and optical coherence tomography (OCT) examinations; 49 eyes underwent OCT angiography (OCTA) examination. The BCVA examination was carried out using the international standard visual acuity chart and was converted into the logarithm of the minimum angle of resolution (logMAR) visual acuity for statistics. The macular foveal thickness (CMT) was measured using an OCT instrument. The size of the MNV lesion was measured using the software of the OCTA self-contained device. The affected eyes were given intravitreal injection of anti-VEGF drugs once, and then the drugs were administered as needed after evaluation. The follow-up time after treatment was ≥6 months. During the follow-up, relevant examinations were performed using the same equipment and methods as before treatment. The last follow-up was taken as the time point for efficacy evaluation. According to the OCT image characteristics of the MNV lesions, the affected eyes were divided into the fibrous scar group and the non-fibrous scar group, with 52 (54.16%, 52/96) and 44 (45.83%, 44/96) eyes respectively. Comparing the CMT and BCVA at the last follow-up with those at the baseline, the affected eyes were divided into the CMT reduction group, the CMT increase group, the BCVA improvement group and the BCVA reduction group, with 66 (68.75%, 66/96), 30 (31.25%, 30/96) eyes and 74 (77.08%, 74/96), 22 (22.92%, 22/96) eyes respectively. The Mann-Whitney U test was used for the comparison of non-normally distributed measurement data between groups. Logistic regression analysis was used to analyze the independent factors affecting the prognosis of MNV patients. ResultsThere were no statistically significant differences in the age (Z=−0.928) and gender composition ratio (χ2= 0.123) between the fibrous scar group and the non-fibrous scar group (P>0.05); there were statistically significant differences in the number of eyes with a follow-up time of ≥36 months and <36 months (χ2= 3.906, P=0.048); there were statistically significant differences in the size of the MNV lesions (Z=−2.385, P=0.017); there were statistically significant differences in the number of eyes with different vascular network morphologies (χ2=12.936, P=0.001). Before treatment and at the last follow-up, the CMT of the affected eyes was 267.50 (237.25, 311.75) μm and 242.00 (217.25, 275.75) μm respectively; logMAR BCVA was 0.20 (0.10, 0.50) and 0.35 (0.16, 0.60) logMAR respectively. There were statistically significant differences in the CMT and logMAR BCVA before treatment and at the last follow-up (Z=−3.311,−1.984; P=0.001, 0.047). There were statistically significant differences in different ages (Z=−2.284), myopic diopter (χ2=7.437), etiology (χ2=6.956), and disease course (Z=−1.687) between the CMT reduction group and the CMT increase group (P<0.05). There were statistically significant differences in the number of eyes with different subjective feelings between the BCVA improvement group and the BCVA reduction group (χ2=10.133, P<0.05). The results of logistic regression analysis showed that the etiology was an independent risk factor for CMT thickening. ConclusionsAge, etiology, myopic diopter, disease course, follow-up time, lesion size and the morphology of the neovascular network are the influencing factors for the prognosis of anti-VEGF drug treatment in MNV patients under 45 years old. The etiology is an independent risk factor for CMT increase.

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  • Correlation analysis of signal characteristics of subretinal hyperreflective material and neovascular morphology in neovascular age-related macular degeneration

    Objective To observe the signal intensity and homogeneity of subretinal hyperreflective material (SHRM) in neovascular age-related macular degeneration (nAMD) and preliminarily analyze its relationship with macular neovascularization (MNV) morphology. MethodsA prospective cross-sectional observational study. Forty-six eyes of 46 treatment-naïve nAMD patients with SHRM who initially visited Zhongshan Ophthalmic Center, Sun Yat-sen University from January 1, 2022 to March 31, 2023 were enrolled. Optical coherence tomography (OCT) examination was performed according to a standardized protocol, and 3D Slicer software was used for three-dimensional reconstruction of SHRM lesions. Signal intensity was represented by the mean gray value (mGV) of the three-dimensional lesion area, and homogeneity was represented by the standard deviation of gray values (GV-SD). OCT angiography (OCTA) was used to scan the 6 mm×6 mm area of the macula. FIJI and Angio Tool software were used to measure MNV vascular network total area, perimeter, maximum and minimum diameters, maximum vessel diameter, vascular component area, total number of vascular network junctions and endpoints, vessel dispersion, and mean lacunarity. The ratio of maximum to minimum diameter of the vascular network, average vessel length, vessel density, and vessel fractal index were calculated. Using the mean mGV of the total sample as the standard, the eyes were divided into low-density SHRM group (20 eyes) and high-density SHRM group (26 eyes); using the mean GV-SD of the total sample as the standard, the eyes were divided into homogeneous SHRM group (29 eyes) and non-homogeneous SHRM group (17 eyes). The morphological characteristics of MNV between groups were compared. Independent samples t-test or Mann-Whitney U test was used for between-group comparisons; a multivariate regression model was established to analyze independent factors affecting SHRM signal characteristics. ResultsAmong the 46 eyes of 46 patients, there were 26 eyes of 26 males (56.52%, 26/46) and 20 eyes of 20 females (43.48%, 20/26). The mean age was (65.61±7.50) years. The average vessel length and vessel dispersion in the high-density SHRM group and low-density SHRM group were (6.88±4.56), (11.30±6.31) mm−1 and 41.30±67.26, 13.22±11.34, respectively. Compared with the low-density SHRM group, the high-density SHRM group had significantly lower average vessel length (t=2.645) and higher vessel dispersion (t=−2.090), with statistically significant differences (P=0.012, 0.046). Compared with the homogeneous SHRM group, the non-homogeneous SHRM group had significantly higher total area (t=−2.338), maximum diameter (t=−3.137), and minimum diameter (t=−2.173), with statistically significant differences (P<0.05). The total number of vascular network junctions in the non-homogeneous SHRM group and homogeneous SHRM group were (90.71±67.34) and (49.34±41.91), respectively; the non-homogeneous SHRM group had significantly more junctions than the homogeneous SHRM group, with a statistically significant difference (t=−2.286, P=0.032). Multivariate regression analysis showed that average vessel length was an independent factor affecting SHRM intensity (odds ratio=0.819, 95% confidence interval 0.705-0.951, P=0.009); there were no independent vascular indicators affecting SHRM reflectivity homogeneity (P>0.05). ConclusionIn nAMD, compared with low-density SHRM, high-density SHRM has significantly lower average vessel length and higher vessel dispersion; compared with homogeneous SHRM, non-homogeneous SHRM has a larger spatial dimension of the vascular network.

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