文章摘要
栗全营,钟 英,汤元翔,王永生.20 min唾液腺显像在干燥综合征诊断中的可行性分析[J].南京医科大学学报,2019,(10):1537~1540
20 min唾液腺显像在干燥综合征诊断中的可行性分析
Establishment and evaluation of prognostic model for patients with acute paraquat poisoning based on support vector machine
投稿时间:2019-04-24  
DOI:10.7655/NYDXBNS20191031
中文关键词: 唾液腺显像  干燥综合征  可行性
英文关键词: paraquat poisoning  prognosis  support vector machine  logistic regression
基金项目:泉州市自然科学基金(Z【2014】0280)
作者单位
栗全营 东南大学附属中大医院核医学科江苏 南京 210009 
钟 英 东南大学附属中大医院核医学科江苏 南京 210009 
汤元翔 东南大学附属中大医院核医学科江苏 南京 210009 
王永生 东南大学附属中大医院核医学科江苏 南京 210009 
摘要点击次数: 44
全文下载次数: 25
中文摘要:
      目的:探讨20 min唾液腺动态显像在干燥综合征临床诊断中的可行性。方法:分别对56例观察组和33例对照组干燥综合征患者以及29例正常组非干燥综合征患者进行20 min或30 min唾液腺动态显像,比较唾液腺动态显像功能参数指标:摄取指数(uptake radio,UR)、相对摄取率(relative uptake radio,S/T)、排泄率(excretion fracti,EF)以及残留率(residual ratio,RR),ROC曲线分析各指标的诊断效能。结果:观察组和对照组在轻度和重度唾液腺受损患者中的UR、S/T、EF及RR指标差异无统计学意义;在中度受损患者中仅RR指标差异无统计学意义。而观察组与正常组唾液腺显像功能参数指标UR、S/T、EF及RR差异均有统计学意义。结论:20 min和30 min唾液腺动态显像在评估唾液腺轻度及重度受损患者中的价值相当,中度受损患者中RR亦无明显差异;20 min唾液腺动态显像为干燥综合征患者唾液腺功能提供有效的量化依据,可反映唾液腺受损情况。
英文摘要:
      Objective:To compare the predictive performance of constructing the early prognostic model of acute paraquat(PQ)poisoning between support vector machine(SVM)and logistic regression. Methods:A total of 152 patients with acute PQ poisoning were collected and the clinical results were observed for 2 months. The patients were divided into two groups with a 3∶2 ratio by the random numerical table method. One group with a total of 91 cases was used as a training sample for selecting variables and establishing predictive models. Another group with a total of 61 cases was used as a validation sample to evaluate the predictive effect of the model. SVM and conventional logistic regression was used as the modeling method. Results:The prediction accuracy of the kernel,polynomial,sigmoid kernel and radial basis function nuclear SVM model was 77.92%,74.03%,75.32% and 79.22% respectively,when being tested by the validation group. The results of performance comparison showed that SVM models performed better than logistic regression model;RBF?SVM was the best among all the models with a sensitivity of 87.5% and a specificity of 70.6%. Conclusion:SVM model could preferably integrate all kinds of prognostic information of PQ poisoning patients,and the established model had better prediction ability,providing a new method for predicting the prognosis of patients with PQ poisoning.
查看全文   查看/发表评论  下载PDF阅读器
关闭