ObjectiveTo observe and analyze the changes and correlation of macular mean sensitivity (MS) and the thickness of ganglionic plexiform layer (GCIPL) in patients with non-arteriotic anterior ischemic optic neuropathy (NAION). MethodsA cross-sectional clinical study. From March to August 2023, 37 patients with 38 eyes of NAION (NAION group) diagnosed by ophthalmic examination in the First Affiliated Hospital of Zhengzhou University were included in the study. In the NAION group, 29 patients with contralateral healthy eyes were selected as the contralateral healthy eye group. A total of 31 eyes of 16 healthy subjects matching gender and age were selected as the normal control group. NAION group was divided into acute stage group (disease course ≤3 weeks), subacute stage group (disease course 4-12 weeks) and chronic stage group (disease course＞12 weeks), with 16, 10 and 12 eyes, respectively. Best corrected visual acuity (BCVA), optical coherence tomography (OCT), perimetry, and microperimetry were performed. BCVA statistics are converted to logarithm of the minimum angle of resolution (logMAR). The macular region was scanned by Cirrus HD-OCT macular volume 512×128 scanning program. The mean (GCIPLav), minimum (GCIPLmin), and the GCIPL thickness at supranasal, superior, subnasal, supratemporal, inferior, and inferotemporal quadrants were detected. The Humphrey 24-2 automated visual field test was utilized to measure the mean defect (MD) of the visual field. MP-3 microperimetry was used to measure MS (total MS) in the 10° macular region and MS in the supranasal, superior, subnasal, supratemporal, inferior, and inferotemporal quadrants. MS＞21 dB was defined as normal. One-way analysis of variance was used to compare among groups. t test was used to compare GCIPL thickness between MS≤21 dB and＞21 dB regions. Spearman correlation analysis was used to analyze the correlation between GCIPL thickness and MS in corresponding areas. ResultsThere were statistically significant differences in logMAR BCVA and MS in the NAION group, contralateral healthy eye group, and normal control group (F=13.595, 83.741; P＜0.05). GCIPL thickness in the MS≤21 dB region was significantly lower than that in the＞21 dB region in the NAION group (t=2.634, P=0.009). The thickness of GCIPL in the inferotemporal quadrant decreased in the NAION group compared with the contralateral healthy eye group and normal control group, but the difference was not statistically significant (P=0.092, 0.192). The thickness differences of GCIPLav and GCIPLmin and GCIPL in other quadrants were statistically significant (P＜0.05). Compared with the contralateral healthy eye group and normal control group, the thickness of GCIPLmin, superior and supratemporal of GCIPL in the acute stage group were significantly decreased (P＜0.05). The thickness of GCIPLav, GCIPLmin, GCIPL in upranasal, superior and supratemporal quadrants were significantly decreased in the subacute stage group (P＜0.05). The thickness of GCIPLav, GCIPLmin and GCIPL in all quadrants were significantly decreased in the chronic stage group (P＜0.05). Correlation analysis showed that total MS were significantly correlated with logMAR BCVA (r=0.779, －0.596, P＜0.001) in NAION group. The inferior GCIPL thickness was significantly correlated with MS in the corresponding region (r=0.410, P=0.046), while no correlation was found in the other quadrants (r=0.220, 0.148, －0.131, 0.296, 0.321; P＞0.05) in NAION group. GCIPL thickness in acute and subacute groups was significantly correlated with MS (r=0.329, 0.400; P=0.007, 0.028). There was no correlation in the chronic phase group (r=0.238, P=0.103). ConclusionsGCIPL atrophy and thinning and MS decrease in the macular area of NAION. The thickness of GCIPL in the MS decreasing region is significantly lower than that in the MS normal region. GCIPL atrophy and thinning in acute and subacute stages are correlated with MS.
Objective To construct and evaluate a screening and diagnostic system based on color fundus images and artificial intelligence (AI)-assisted screening for optic neuritis (ON) and non-arteritic anterior ischemic optic neuropathy (NAION). MethodsA diagnostic test study. From 2016 to 2020, 178 cases 267 eyes of NAION patients (NAION group) and 204 cases 346 eyes of ON patients (ON group) were examined and diagnosed in Zhongshan Ophthalmic Center of Sun Yat-sen University; 513 healthy individuals of 1 160 eyes (the normal control group) with normal fundus by visual acuity, intraocular pressure and optical coherence tomography examination were collected from 2018 to 2020. All 2 909 color fundus images were as the data set of the screening and diagnosis system, including 730, 805, and 1 374 images for the NAION group, ON group, and normal control group, respectively. The correctly labeled color fundus images were used as input data, and the EfficientNet-B0 algorithm was selected for model training and validation. Finally, three systems for screening abnormal optic discs, ON, and NAION were constructed. The subject operating characteristic (ROC) curve, area under the ROC (AUC), accuracy, sensitivity, specificity, and heat map were used as indicators of diagnostic efficacy. ResultsIn the test data set, the AUC for diagnosing the presence of an abnormal optic disc, the presence of ON, and the presence of NAION were 0.967 [95% confidence interval (CI) 0.947-0.980], 0.964 (95%CI 0.938-0.979), and 0.979 (95%CI 0.958-0.989), respectively. The activation area of the systems were mainly located in the optic disc area in the decision-making process. ConclusionAbnormal optic disc, ON and NAION, and screening diagnostic systems based on color fundus images have shown accurate and efficient diagnostic performance.
ObjectiveTo gain an in-depth understanding of the research status, hotspots, and future development trends in the field of ischemic optic neuropathy (ION). MethodsUsing “ischemic optic neuropathy” as the subject heading or keyword to search for relevant literature in Chinese and English databases from January 1, 2000, to December 31, 2022. The bibliometrics method and software were applied to construct the visualization map of authors, institutions, keyword co-occurrence, outburst words, and keyword clustering. ResultsA total of 1 203 ION-related articles were included, 1 106 Chinese literature and 97 English literature were included; the number of published articles in this field has fluctuated and increased in the past 20 years, mainly Chinese literature and English literature have shown a low growth trend. Chinese literature involved a total of 2 171 authors, and English literature involved 368 Chinese authors. A core team represented by Wang Runsheng, Wei Shihui, Zhong Yong, and Wei Qiping was formed among the high-yielding authors. Chinese literature involved a total of 799 research institutions, and English literature covered 119 Chinese institutions. The Xian No.1 Hospital and Beijing Tongren Hospital Affiliated to Capital Medical University respectively ranked first in the number of Chinese and English literature published in this field; 121 and 23 high-frequency keywords in Chinese and English were identified. In addition to “ischemic optic neuropathy”, compound anisodine, visual field, vision, treatment, risk factors, pathogenesis, optic nerve and rAION also appeared more frequently. The Chinese literature obtained 13 emergent words, and the English literature keywords formed 11 clusters. From the perspective of research type, the Chinese and English literature in this field mainly focued on the clinical efficacy observation of nonarteriotic Anterior ischemic optic neuropathy (NAION). ConclusionsIn the past 20 years, clinical studies of ION in China have mainly focused on the treatment of NAION, risk factors, and the application of auxiliary examinations in disease diagnosis. The combination of drugs in treatment, the application of optical coherence tomography angiography, and the research on pathogenesis is still a future research trend in this field.
ObjectiveTo investigate the relationship between the level of stromal cell-derived factor-1 (SDF-1), internal carotid artery stiffness index, and non-arteritic anterior ischemic optic neuropathy (NAION) with macular edema (ME). MethodsA retrospective study. A total of 202 patients with NAION diagnosed by ophthalmic examination in Department of Ophthalmology, The Second Affiliated Hospital of Jiamusi University from January 2023 to January 2025 were included in the study. Based on the presence or absence of ME, the patients were divided into the NAION+ME group and the NAION group, with 94 and 108 cases respectively. A prediction model was constructed based on the influencing factors. To comprehensively evaluate the predictive value of SDF-1 level and carotid artery stiffness index for NAION with ME, a multidimensional analytical approach was employed. The diagnostic performance of individual and combined markers was assessed by constructing receiver operating characteristic (ROC) curves and calculating the area under the curve (AUC). Multivariate logistic regression analysis was performed to determine their independent predictive value. Stratified subgroup analyses were conducted to explore predictive differences across various populations. Cox proportional hazards regression models were established to evaluate long-term predictive value. Restricted cubic spline (RCS) analysis was applied to reveal potential nonlinear dose-response relationships. Mediation effect models were constructed to analyze the mediating role of carotid artery stiffness index in the association between SDF-1 level and NAION with ME. ResultsIn the NAION+ME group, systolic blood pressure (t=6.066), body mass index (t=2.804), disease duration (t=2.552), intraocular pressure (t=2.574), high-density lipoprotein (t=2.729), fasting blood glucose (t=2.022), glycosylated hemoglobin (t=7.235), SDF-1 level (t=14.319), and internal carotid artery stiffness index (t=2.633) were higher than those in the NAION group, while diastolic blood pressure was lower (P＜0.05). ROC curve analysis showed that the AUC of SDF-1 level combined with internal carotid artery stiffness index in predicting the risk of adverse prognosis was 0.894 [95% confidence interval (CI) 0.803-0.945], with a sensitivity of 87.98% and a specificity of 95.69%. Logistic regression analysis demonstrated significant independent correlations between SDF-1 level (OR=1.682, 95%CI 1.156-1.986), internal carotid artery stiffness index (OR=1.826, 95%CI 1.369-2.648), and the risk of ME in NAION patients (P＜0.05). Subgroup analysis revealed that elevated SDF-1 level and internal carotid artery stiffness index were associated with a higher risk of NAION with ME (Pfor trend＜0.05). RCS analysis demonstrated a nonlinear dose-response relationship between the continuous changes in SDF-1 level and internal carotid artery stiffness index and the risk of NAION with ME (P＜0.05). Mediation effect model analysis showed that internal carotid artery stiffness index played a mediating role between SDF-1 level and the risk of NAION with ME. ConclusionsSDF-1 level and internal carotid artery stiffness index are independent risk factors for ME in NAION patients. The combined detection of these two indicators holds significant value in predicting disease progression.