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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).Methods:A 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.Results:In 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. Conclusion:Abnormal optic disc, ON and NAION, and screening diagnostic systems based on color fundus images have shown accurate and efficient diagnostic performance.
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Aging is often accompanied by age-related cataract and concurrent degeneration in brain function and structure.Restoration of vision after cataract surgery not only improves visual function, but also affects brain function and structure.Cataract surgery can enhance the effective transmission of blue light by intrinsically photoreceptive ganglion cells, and increase the secretion of melatonin in vivo, thereby regulating biological rhythm and improving the cognitive level of patients.Melatonin can activate its related molecular pathways, such as Reelin, Notch signaling, etc., affecting the accumulation and deposition of β-amyloid protein, reducing neuronal apoptosis, and playing an important role in a variety of neurodegenerative diseases.Although clinical studies have confirmed that vision restoration after cataract surgery can partially reverse the decline in brain function and structure, the molecular mechanisms involved remain unclear.Based on the eye-brain relationship, this paper reviewed and discussed the effects of vision restoration after cataract surgery on brain function and structure and the potential molecular mechanism, so as to provide new ideas and methods for brain remodeling.
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The genus Tetrastigma belongs to the Vitaceae family and contains over 100 species. This paper reviewed folk uses, chemical constituents, pharmacological activities, and clinical applications of the medicinal plants in the genus Tetrastigma. In addition, the paper also discussed the current problems for the further studies. Up to now, more than 240 compounds were reported from the genus Tetrastigma, covering 74 flavonoids, 14 terpenoids, 19 steroids, 21 phenylpropanoids, 14 alkaloids and others constituents. Among them, flavonoids are the major and the characteristic chemical constituents in this genus. Modern pharmacological studies and clinical practice showed that the extracts and chemical constituents of Tetrastigma species possessed wide pharmacological activities including antitumor, antioxidative, hepatoprotective, antiviral, anti-inflammatory, and analgesic activities. The information summarized in this paper provides valuable clues for new drug discovery and an incentive to expand the research of genus Tetrastigma.
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With the increase in the aging of the global population, the prevalence of cataract has increased gradually, and cataract has become a significant cause of blindness and visual impairment in China and even in the whole world.In recent years, artificial intelligence (AI) technology has developed rapidly, and has been applied widely in medical fields, especially in ophthalmology.AI is expected to become a vital method to alleviate the lack of medical resources, improve the efficiency of diagnosis and treatment and reduce medical costs.For cataract, AI is mainly applied in cataract screening and diagnosis, preoperative evaluation, the calculation of intraocular lens power and the analysis of cataract surgery procedure.In this article, the researches on the applications of AI technology in the diagnosis and classification of cataract based on the slit-lamp/fundus photograph, ultrasound image, cataract surgery video and health record data, the grading of opacity, the calculation of intraocular lens power as well as the recognization of cataract surgery and the management of cataract patients at home and abroad were summarized and reviewed in order to provide more references for the application and promotion of AI in ophthalmology.
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Objective:To develop an intelligent vision examination and management system based on mobile terminal, and evaluate its practical application.Methods:A diagnostic test study was adopted.Fifty children and adolescents (100 eyes) aged from 3 to 14 years, with an average age of (8.16±4.58) years, were enrolled in Zhongshan Ophthalmic Center from March to May, 2020.An intelligent vision examination and management system for Android and IOS devices, which applied technologies of real-time range measurement, speech recognition, and gesture recognition to achieve the real-time interaction in the vision examination, was developed using JAVA language and xcode11.The uncorrected visual acuity of subjects was tested with the intelligent vision system and the standard eye chart in hospital.The difference in the number of cooperative eyes between the two methods was analyzed by χ2 test.The LogMAR acuity of the two methods were compared by Wilcoxon rank sum test and the consistency between the two methods was analyzed by Kappa test.The study adhered to the Declaration of Helsinki, and the study protocol was approved by an Ethics Committee of Zhongshan Ophthalmic Center (No.2020KYPJ095). Written informed consent was obtained from guardians of each subject prior to any examination. Results:The intelligent vision examination and management system was successfully developed for Android and IOS devices, which was loaded with precise vision examination at 3 meters, intelligent interaction, result output and automatic filing functionalities.The inspection range of visual acuity was from 0.1 to 1.5.The size and resolution of eye chart met the national standard.There was no significant difference in the number of cooperative eyes during examination between traditional eye chart (99/100) and intelligent vision examination system (98/100) ( χ2=0.338, P=0.561). There was no significant difference in examination results between traditional eye chart 0.3 (0.2, 0.5) LogMAR and intelligent vision examination system 0.3 (0.2, 0.5) LogMAR ( Z=-1.602, P=0.109), and there was a high consistency between the two methods (Kappa coefficient=0.885). Conclusions:The intelligent vision examination and management system based on the mobile terminal is of high accuracy and practicability, which can effectively meet the public demand for at-home vision testing and long-term tracking.The system can be promoted and applied as a new mode for personalized eye health management.
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Objective:To survey the application of an intelligent consultation system for common eye diseases and evaluate its applicational effectiveness on an internet hospital platform.Methods:A cross-sectional study was performed in Zhongshan Ophthalmic Centre of Sun Yat-sen University.Natural language processing technology was applied to develop the intelligent consultation system for common eye diseases.Its efficiency and quality were evaluated.The survey data were collected from February 1 to 29, 2020 to analyze the demographic information, consultation time, consultation category, consultation content, service satisfaction.This study protocal was approved by an Ethic Committee of Zhongshan Ophthalmic Centre of Sun Yat-sen University(2020KYPJ095).Results:The intelligent consultation system for common eye diseases was developed and successfully deployed in Internet Hospital of Zhongshan Ophthalmic Center.The repeatability and accuracy of the intelligent consultation system were 100.0% and 99.8%, respectively.During February 1 to 29, 2020, the intelligent consultation system served 6 462 patients, including 3 082 males(47.7%) and 3 380 females(52.3%). The average age of patients was 32.3 years old.Total of 1 135(17.6%) patients used the intelligent guidance consultation, and 5 375(82.4%) patients used the intelligent outpatient consultation.The intelligence consultation system was applied by 223 patients per day with a maximum of 74 patients per hour.The survey showed that 25.6% and 36.4% of the patients felt very satisfied and relatively satisfied with the efficiency of the intelligent consultation service, respectively; 24.3% and 37.8% of the patients were very satisfied and relatively satisfied with the quality of the intelligent consultation service, respectively.Conclusions:Intelligent consultation system for common eye diseases can meet the needs of patients because of its high repeatability and accuracy.Patients are satisfied with the service efficiency and quality of the intelligent consultation system, which avoids the risk of cross infection and releases the burden of medical staff.
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With the global trend of aging populations,the prevalence of blindness is expected to increase.However,due to deficiencies and imbalances,medical resources are far from satisfactory for ophthalmic disease diagnosis and management,particularly in primary medical facilities of developing countries.Eyeball is a visualized organ with its superficial position and transparent refractory media.Therefore,many ophthalmic diseases can be screened and diagnosed from images and photographs,such as cataract,cornea diseases and retinopathy,etc.As the development of data mining technology and accumulation of large amount of ophthalmic clinical data,the conditions are ripe for establishment of artificial intelligence (AI) diagnostic platform.Currently,attention should be focused on integrating the abundant ocular imaging resources,practically applying the data mining technology and gradually developing the universal AI platform for the management of ophthalmic disease.
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Transplantations for repairing tissue and organ defects caused by disease and injury require a large number of donor tissues and organs.Therefore,people are increasingly hoping to restore or rebuild normal physical functions by establishing the body's own regenerative capacity.For this reason,regenerative medicine is rapidly emerging and becoming a research hotspot.The regeneration of tissues and organs is a complex process involving multiple layers of structures and requiring multiple factors to interact.Compared with traditional biomolecular technologies,biological omics based on biomolecular groups has obvious advantages in regenerative medicine researches and has became an important tool correlational researches.In this paper,the methods and progress of biomedical techniques for regenerative medicine researches in recent years were summarized,and the advantages of biological omics technology in regenerative medicine were analyzed and prospected.
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Objective To confirm the effect of lymphangiogenesis in immunological reaction on pterygium formation and development.Methods The clinical removal of pterygium material in quiescent phase,advanced phase and recurrent phase was selected.each phase with 12 cases,while 10 cases of normal bulbar conjunctiva were taken as control.5'-nueleotide enzyme-alkallne phosphat&se-double enzyme histochemistry was performed to compare the number of lymphangiogenesis in different tissues.Results Lymphangiogenesis in normal bulbar conjunctiva and quiescent phase pterygium tissues expressed little,but gray-stained lymphangiogenesis widely distributed in pterygium tissue of advanced phase and recurrent phase,and there were statistically significant differences compare those with the normal bulbar conjunctiva and quiescent phase pterygium(P=0.03 and 0.01).Conclusion Lymphangiogenesis may be involved in immunity process of pterygium pathogenesis.
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BACKGROUND: Cervical lymph nodes are draining region of cornea. It is believed that aqueous fluid goes through a minor pathway named uveoscleral drainage, which will allow passage of antigen-presenting cells (APC) directly to the draining lymph nodes and induce allograft rejection after keratoplasty.OBJECTIVE: To explore the inhibitory effects of cervical lymphadenectomy in alkali induced high-risk corneal transplantation.DESIGN: A randomized controlled animal experiment.SETTING: State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University.MATERIALS: The experiment was performed in the State Key Laboratory of Ophthalmology (No. 2006DA105054), Zhongshan Ophthalmic Center, Sun Yat-sen University from May 2005 to February 2007. 144 male animals (1-2 months old) including 104 SD rats and 40 Wistar rats were provided by the animal experimental center of Sun Yat-sen University. Sandwich enzyme-linked immunosorbent assay (ELISA) kits for interleukin-2 (IL-2) and interferon-γ (IFN-γ) were brought from BioSource International company (USA). The animal treatment in the experiment was accorded with the statement in Association for Research in Vision and Ophthalmology (ARVO) for animals.METHODS: With the SD rats as recipients, and Wistar rats as donors, all rats were subjected to corneal allografting. The recipient rats were randomly divided into 4 groups (n=20): group A (control group) which underwent corneal transplantation; group B which was subjected to bilateral cervical lymphadenectomy; group C, corneal transplantation 21 days after the alkali burn injury; group D, cervical lymphadenectomy following group C. The immune rejection of grafts was evaluated by detecting the expression of IFN-γ and IL-2 using ELISA. The time when allograft rejection occurred was recorded and mean survival time (MST) was compared among the groups. The development of corneal inflammation and new vessels was examined by slit lamp microscope and histopathological examination.MAIN OUTCOME MEASURES: ①The development of corneal inflammation after corneal alkaline burns. ②MST of rats in each group following transplant. ③The expression of IL-2 and IFN-γ in grafts of each group. RESULTS: ①Normal rat cornea was transparent without inflammation or neovascularization. There were many inflammatory cells invading to stroma on day 3 after burn. Then, the inflammation of cornea resolved gradually 3 weeks after the burn, but corneal neovascularization reached the peak at that time. Corneal blood vessels regressed completely at the end of 8 weeks after the burn. ②The MST of group A, B, C, and D was (10.40±1.14), (46.30±9.46), (7.00±1.58), and (15.00±3.39) days, respectively. Compared with the group A, the MST of group B was significantly longer (P < 0.05), and the MST of grafts in group D was also significantly longer than group C (P < 0.05). ③The expression of IFN-γ and IL-2 proteins was absent in group B. Compared with group C, the expression of IL-2 and IFN-γ proteins in group D significantly decreased on days 3, 7, 10, and 14 after keratoplasty (P < 0.05). CONCLUSION: Cervical lymphadenectomy therapy can effectively inhibit corneal allograft rejection in normal and high-risk corneal beds after alkali burn injury.