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        west china medical publishers
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        find Author "Liang Xuemei" 3 results
        • Current research situation of the characteristics of recurrent optic neuritis and the pathogenesis of optic neuritis

          Optic neuritis (ON) is one of the symptom of a central nervous system demyelinating, systemic or infectious disease. The pathogenetic mechanism of ON is still not completely clear, and its core is inflammation and immune that occurred in the optic nerve axons, and apoptosis of RGC was induced. Few patients experience recurrent episodes after treatment, presenting a remission - recurrence course of polyphasic disease, named recurrent ON (RON). Two forms of RON have been assigned: recurrent isolated optic neuritis, which is a chronic corticosteroid-dependent optic neuropathy with intermittent acute relapses, and recurrent isolated optic neuritis, which is a non-progressive relapsing ON without steroid dependence. Recurrence of ON causes cumulative damage to the optic nerve lesions and impaired visual signal transmission, thus causing irreversible damage to vision. Therefore, it is very important to have a deep understanding of the pathogenesis of ON and the clinical characteristics of RON, so as to better conduct clinical treatment.

          Release date:2019-05-17 04:15 Export PDF Favorites Scan
        • Treatment outcomes of reduced-dose intravitreal ganciclovir for acquired immunodeficiency syndrome patients with cytomegalovirus retinitis

          ObjectiveTo evaluate the efficacy and safety of reduced-dose intravitreal ganciclovir for the treatment of acquired immunodeficiency syndrome (AIDS) patients with cytomegalovirus retinitis (CMVR).MethodsA prospective observational cohort study observed 15 AIDS patients (28 eyes) who suffered from CMVR onset between January 2016 and December 2018 at Nanning Aier Eye Hospital. Among this 28 eyes, BCVA of 6 eyes (21.4%) were between moving hand to counting finger, 15 eyes (53.6%) were between 0.02 to 0.1 and 7 eyes were better than 0.1 (25.0%). All eyes received intravitreal injection 0.1 ml of ganciclovir at 4 mg/ml (contain ganciclovir 0.4 mg). The induction regimen was twice weekly for 2 weeks and a maintenance period of the same dose weekly. The mean number of injections was 7.1±1.7 times. For hospitalized patients who had no contraindicated received a 14-day twice daily intravenous ganciclovir (IVG) 5.0 mg/kg·d until complete resolution of CMVR. All patients were divided into intravitreal ganciclovir (IVTG) group and IVTG+IVG group according to different treatment plans, which were 5 cases with 8 eyes and 10 cases with 20 eyes, respectively. The follow-up was more than 6 months. BCVA, complete resolution or stable of the lesion and complications were observed.ResultsSix months later, 20 eyes (71.4%) had a obvious reduced or disappeared of the anterior chamber and vitreous inflammation, and the retinal lesions became stable or complete resolution. 24 eyes showed improvements of BCVA and 4 eyes showed stable. 2 eyes (7.1%) presented with BCVA ≤ counting finger, 7 eyes (25.0%) were 0.02 - 0.1 and 19 eyes were ≥ 0.1 (67.9%). Compared with before treatment, the ratio of BCVA that less than or equal to counting finger and between 0.02 to 0.1 decreased (21.4% vs 7.1% and 53.6% vs 25.0%, respectively), but the ratio of BCVA better than 0.1 increased (25.0% vs 67.9%). When IVTG+IVG group was compared with IVTG group, the average time-to-resolution of CMVR were 83.2±25.2 and 85.3±24.4 days respectively. There was no significant difference in resolution times (Z=0.17, P=0.87). The ratio of retinal lesions became stable or complete resolution were 75.0% (15 eyes) and 62.5% (5 eyes), there was no evident difference in time-to-resolution between the two groups (F=0.42, P=0.51). No recurrence was seen during the follow-up period. In cases of unilateral CMVR, there were no patients with a second eye involvement during the follow-up period. No endophthalmitis, vitreous hemorrhage, retinal detachment were found in our study.ConclusionReduced-dose intravitreal ganciclovir is a safe and effective treatment option for CMVR.

          Release date:2020-05-19 02:20 Export PDF Favorites Scan
        • A machine learning classification model for primary open-angle glaucoma based on optical coherence tomography optic disc parameters and interocular asymmetry features

          ObjectiveTo develop machine learning classification models for primary open-angle glaucoma (POAG) using optical coherence tomography (OCT) optic disc parameters and interocular asymmetry features. MethodsA prospective case-control study. From January 2023 to June 2025, 68 patients (136 eyes) diagnosed with POAG (POAG group) and 83 individuals (166 eyes) undergoing routine eye health examinations (healthy controls group) at the Department of Glaucoma of Nanning Aier Eye Hospital were enrolled. The optic disc was scanned using the Glaucoma Module Premium Edition mode of the Spectralis OCT to obtain peripapillary retinal nerve fiber layer (pRNFL) thickness and Bruch's membrane opening-minimum rim width (BMO-MRW) measurements for the global, temporal, superotemporal, superonasal, nasal, inferonasal, and inferotemporal quadrants. The normalized absolute difference in corresponding quadrant parameters between eyes was calculated as interocular asymmetry indix. Elastic Net feature selection was performed on 47 feature variables, and 11 machine learning classification models for POAG were constructed based on the selection results. The overall classification performance was evaluated using achieving an area under the curve (AUC), accuracy, and F1-score. The top five models with the best performance were selected based on AUC. The SHAP (SHapley Additive exPlanations) values were used to analyze the contribution of each feature to prediction outcome in the best-performing model. ResultsCompared with the healthy control group, both the BMO-MRW and pRNFL thickness in all quadrants were significantly reduced, and interocular asymmetry was significantly greater in POAG group, the differences were all statistically significant (P<0.05). After feature selection and model comparison, the support vector machine model constructed based on 5 features performed the best. Its AUC was 0.981 (95% confidence interval 0.950-1.000), with an accuracy of 0.957 and an F1 score of 0.952. SHAP analysis indicated that interocular asymmetry in temporal and superotemporal BMO-MRW contributed highly to the model's classification decisions, second only to the inferonasal BMO-MRW thickness of the right eye. ConclusionsMachine learning classification models incorporating OCT optic disc parameters and their interocular asymmetry features effectively distinguish POAG patients from healthy individuals. The asymmetry parameters of BMO-MRW between the two eyes play an important role in the model.

          Release date:2026-02-05 09:28 Export PDF Favorites Scan
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