目的 探讨视网膜微血管直径与2型糖尿病(DM2)并发症糖尿病视网膜病变(DR)的关系。 方法 选取2009年1月-11月住院确诊DM2患者200例，根据眼底彩色照相结果将患者分为DR组和NDR组，测量视网膜血管直径、测定生化指标及血压，用非条件Logistic回归分析糖尿病视网膜病变发生的危险因素。 结果 V1扩张10 μm时，DM2患者并发DR危险性增加(OR 1.75，95% CI 1.14～3.04，Plt;0.05)；空腹血糖水平增加1 mmol/L，DM2患者并发DR的危险性增加(OR 1.87，95% CI 1.43～2.81，Plt;0.05)； 糖化血红蛋白增加1个单位，DM2患者并发DR的危险性增加(OR 1.08，95% CI 1.02～1.13，Plt;0.05)；DM病程增加1年，DM2患者并发DR的危险性增加(OR 1.41，95% CI 1.18～1.70，Plt;0.05)。 结论 在DM2患者中，视网膜静脉直径大小、空腹血糖水平、糖化血红蛋白水平、糖尿病病程是DR发生的危险因素。
摘要:目的: 调查新疆地区维吾尔族与汉族子宫颈癌及癌前病变发病情况,分析宫颈癌高发原因。 方法 : 2000年1月至2005年12月新疆自治区人民医院妇产科门诊及病房行宫颈细胞学检查的维吾尔族、汉族妇女进行筛查,对宫颈病变阳性者(CINI以上)行病理组织学检查,对结果进行对比分析、综合评价。 结果 : 宫颈涂片人数共计23 205例,其中维吾尔族6 999例、汉族16 206例。宫颈病变阳性者237例,经阴道镜下病理活组织检查证实CINI以上(包括CINI、CINII、CINIII、原位癌、鳞癌、腺癌)病变人数173例,最小年龄31岁,原位癌(维吾尔族)、最大年龄76岁,宫颈磷癌(汉族)。维吾尔族105例(6069%)、汉族68例(3931%)。每年阳性例数中维吾尔族均高于汉族,其中2000年、2001年、2004年、2005年有极显著性差异(P lt;001),2002年、2003年有显著性差异(P lt;005),维吾尔族、汉族在各年龄组中的发病情况无显著性差异(P gt;005)。 结论 : 新疆地区宫颈癌及癌前病变的高发原因是由地区环境、医疗条件、医学发展、救助措施等因素综合作用的结果。Abstract: Objective: To investigate the incidence of cervical cancer and cervical precancerous lesion of uigur nationality and han nationality, in addition, to analysis the cause of cervical cancer’s high incidence. Methods : At first screen cervical cytology of Uigur and Han outpatient and inpatient of department of gynecology and obstetrics in the People’s Hospital of Xinjiang Uigur Autonomous Region from January 1, 2000 to December 31, 2004Secondly biopsy for those patients that cervix pathological change shows positive, then contrast analysis and comprehensive evaluation. Results : Cervix smears are 23205 samples. Uigur nation has 6999 samples and Han nation has 16206 samples. There are 237 patients whose cervix pathological changes shows positive. Among them 173 samples were over CINⅠ(include CINⅠ,CINⅡ,CIN Ⅲ,carcinoma in situ, squamous carcinoma and adenocarcinoma) through colposcopy. The youngest was 31 and diagnosed carcinoma in situ(Uigur), the eldest was 76 and diagnosed squamous carcinoma(Han).The samples of Uigur is 105(6069%) and Han is 68(3931%).The positive samples in Uigur is higher than Han each year, the incidence has extremely significant difference among 2000,2001 and 2004(P lt;001), while it has significant difference between 2002 and 2003 (P lt;005), but in each age group it has no significant difference between Uigur and Han (P gt;005). Conclusion : The high incidence of cervical cancer and cervical precancerous lesion in xinjiang is contribute to environment, medical condition, medical development and aid measures coaffect.
ObjectiveTo compare the consistency of artificial analysis and artificial intelligence analysis in the identification of fundus lesions in diabetic patients.MethodsA retrospective study. From May 2018 to May 2019, 1053 consecutive diabetic patients (2106 eyes) of the endocrinology department of the First Affiliated Hospital of Zhengzhou University were included in the study. Among them, 888 patients were males and 165 were females. They were 20-70 years old, with an average age of 53 years old. All patients were performed fundus imaging on diabetic Inspection by useing Japanese Kowa non-mydriatic fundus cameras. The artificial intelligence analysis of Shanggong's ophthalmology cloud network screening platform automatically detected diabetic retinopathy (DR) such as exudation, bleeding, and microaneurysms, and automatically classifies the image detection results according to the DR international staging standard. Manual analysis was performed by two attending physicians and reviewed by the chief physician to ensure the accuracy of manual analysis. When differences appeared between the analysis results of the two analysis methods, the manual analysis results shall be used as the standard. Consistency rate were calculated and compared. Consistency rate = (number of eyes with the same diagnosis result/total number of effective eyes collected) × 100%. Kappa consistency test was performed on the results of manual analysis and artificial intelligence analysis, 0.0≤κ＜0.2 was a very poor degree of consistency, 0.2≤κ＜0.4 meant poor consistency, 0.4≤κ＜0.6 meant medium consistency, and 0.6≤κ＜1.0 meant good consistency.ResultsAmong the 2106 eyes, 64 eyes were excluded that cannot be identified by artificial intelligence due to serious illness, 2042 eyes were finally included in the analysis. The results of artificial analysis and artificial intelligence analysis were completely consistent with 1835 eyes, accounting for 89.86%. There were differences in analysis of 207 eyes, accounting for 10.14%. The main differences between the two are as follows: (1) Artificial intelligence analysis points Bleeding, oozing, and manual analysis of 96 eyes (96/2042, 4.70%); (2) Artificial intelligence analysis of drusen, and manual analysis of 71 eyes (71/2042, 3.48%); (3) Artificial intelligence analyzes normal or vitreous degeneration, while manual analysis of punctate exudation or hemorrhage or microaneurysms in 40 eyes (40/2042, 1.95%). The diagnostic rates for non-DR were 23.2% and 20.2%, respectively. The diagnostic rates for non-DR were 76.8% and 79.8%, respectively. The accuracy of artificial intelligence interpretation is 87.8%. The results of the Kappa consistency test showed that the diagnostic results of manual analysis and artificial intelligence analysis were moderately consistent (κ=0.576, P＜0.01).ConclusionsManual analysis and artificial intelligence analysis showed moderate consistency in the diagnosis of fundus lesions in diabetic patients. The accuracy of artificial intelligence interpretation is 87.8%.
Peripheral exudative hemorrhagic chorioretinopathy (PEHCR) is a peripheral retinal disease characterized by subretinal hemorrhage and/or subretinal pigment epithelial hemorrhage or exudation. It is often misdiagnosed as age-related macular degeneration, polypoidal chorioretinopathy or choroidal melanoma. With the development of multimodal imaging, PEHCR has different features under different examinations, such as B-scan ultrasound, fluorescein fundus angiography, optical coherence tomography and so on, which contributes to differention from other diseases. Clinical treatments for the disease include intravitreal injection of retinal photocoagulation therapy, anti-vascular endothelial growth factor, pars plana vitrectomyand so on, but there is still no universal consensus. In order to gain a deeper understanding of the clinical features, treatment options and prognosis of PEHCR, minimize missed diagnoses and misdiagnoses, and improve treatment efficiency, further research is required.
Objective To investigate the early influences of laser photocoagulation on macular retinal thickness in diabetic retinopathy(DR). Methods Optic coherence tomography examination was performed in 30 eyes with DR(phase Ⅲ~Ⅳ) before, and on the 3rd day and the 7th day after photocoagulation respectively. The thickness of neuroretina and pigment epithelium were measured in the areas of fovea macula and 750 μm from fovea macula. Results Three days after photocoagulation, significant thickening of neuroretina was observed in the fovea macula, which is positively related with age, fasting blood sugar and duration of DR. There was no significant changes in the thickness of pigment epithelium in macula and in the thickness of neuroretina 750 μm from fovea macula. Conclusion Significant thickening of neuroretina in fovea macula in DR early after photocoagulation reveals progressed macular edema induced by photocoagulation which is positively related with age, fasting blood sugar and duration of DR. (Chin J Ocul Fundus Dis, 2002, 18: 31-33)
Diabetic macular ischemia (DMI) is one of the manifestation of diabetic retinopathy (DR). It could be associated with diabetic macular edema (DME), which may affect the vision of DR patients. FFA is the gold standard for the diagnosis of DMI, but with the advent of OCT angiography, a more convenient and diversified method for the evaluation of DMI has been developed, which makes more and more researchers start to study DMI. Intravitreal injection of anti-VEGF has become the preferred treatment for DME. When treating with DME patients, ophthalmologists usually avoid DMI patients. But if intravitreal anti-VEGF should be the contradiction of DME is still unclear. To provide references to the research, this article summarized the risk factors, assessment methods and influence of DMI. This article also analyzed the existing studies, aiming to offer evidences to a more reasonable and effective treatment decision for DME individual.
To probe the etiopathogenisis of adjacent-segment disease by analyzing the imageology data and cl inical neurological function in patients with anterior cervical discectomy and fusion (ACDF) harvested by long-term follow-up. Methods A retrospective study was performed on 52 patients who had undergone ACDF with perfect documents from January 1990 to April 2003. Of the patients, 45 were males and 7 were females with a mean age of 48.5 years (range from 25 to 72 years). There was the fusion of 10 one-levels, 38 two-levels and 4 three-levels. The cervical anterior-posterior and lateral X-ray, CT and MRI examination were performed before the operation. Cl inical neurological function was recorded by the Nurick score, and this score at 6 weeks after the operation was compared with the later follow-up. In the radiological examination, the motion of adjacent vertebrae and osteophyte formation were reviewed on X-ray and CT, and were converted to the semi-quantitative degeneration score according to the Goffin method. The correlation between Nurick score or degeneration score and the age at operation or fusion levels was compared by Spearman correlation coefficients. The cervical canal sizes of adjacent level and remote level on MRI were reviewed and compared with each other by t test. Results The follow-up period was 3 to 10 years, 6.9 years on average. There was difference in the Nurick score between the 6th week after operation (1.07 ± 0.84) and the later follow up (1.92 ± 1.28) by rank test (P lt; 0.05). There was no correlation between the Nurick score change and the age at operation (r = 0.21, P gt; 0.05) or fused levels(r = 0.30, P gt; 0.05) by Spearman correlation coefficients. There was obvious difference in degeneration score between the 6th week after operation (0.73 ± 0.67) and the later follow up (1.58 ± 1.06), (P lt; 0.01). There was no correlation between the degeneration score change and the age at operation (r = 0.35, P gt; 0.05) or fusion levels (r = 0.38, P gt; 0.05) by Spearman correlation coefficients. The cervical canal size reductions were (1.7 ± 1.1) mm at superioradjacent level, (1.2 ± 0.6) mm at inferior adjacent level and (0.30 ± 0.68) mm at remote level. There was obvious difference between superior or inferior and remote level by t test (P lt; 0.01). The adjacent level developed prominent degeneration together with nerve function change after the fusion operation and displayed correlation between degeneration and nerve function change(r = 0.41, P lt; 0.05). Conclusion The adjacent-segment disease after interbody fusion is produced by multiple factors. The natural progression in adjacent disc, biomechanical natural change resulting from interbody fusion, destruction to l igament structure in front of cervical vertebrae by operation, and bone graft model are important factors not to be ignored.