Application of Big Data Deep Learning in Auxiliary Diagnosis of Lower Extremity Arteriosclerosis Obliterans

At present,the incidence rate of arteriosclerosis obliterans(LEASO)of the lower extremities is significantly increased by aging and lifestyle changes.It is of great importance to predict the LEASO effectively and accurately by analyzing the imaging data of the lower extremities⑴.At this stage,China has entered the era of big data and artificial intelligence.Medical institutions at all levels can produce a large number of lower limb vascular image data every day.Using big data deep learning technology to intelligently analyze a large number of image data,and then carry out auxiliary diagnosis,so as to improve the diagnosis and treatment effect of LEASO is the focus of clinical research.

NADPH氧化酶p22phox亚基C242T基因多态性与中国朝鲜族2型糖尿病患者下肢动脉硬化的相关性

目的探讨NADPH氧化酶p22phox亚基C242T基因多态性与中国朝鲜族2型糖尿病(T2DM)患者下肢动脉硬化(LLAS)的相关性。方法选取诊断为T2DM的中国朝鲜族患者298例,彩色多普勒超声观察患者LLAS情况,将存在LLAS的患者分为无斑块和有斑块组,记录全部T2DM患者血液生化指标。同时,应用聚合酶链反应-限制性片段长度多态性技术对所有T2DM患者的NADPH氧化酶p22phox亚基242位点进行基因型分析。结果比较无斑块和有斑块两组,NADPH氧化酶p22phox亚基242位点上CC基因与CT及TT基因基因频率存在显著性差异(P<0.05);Logistic回归分析显示NADPH氧化酶p22phox亚基C242T基因多态性与病程及吸烟同为下肢动脉硬化斑块(LLASP)形成的危险因素;纯合子CC基因型LLASP的风险高于杂合子CT及纯合子TT基因型患者。结论 NADPH氧化酶p22phox亚基C242T基因多态性与中国朝鲜族T2DM患者并发LLAS相关,其中CC纯合子基因是中国朝鲜族T2DM患者并发LLASP的遗传学风险因素。