Objective To know the situation of time delay from the patients with ischemic stroke arrived the emergency to accepted the thrombolysis treatment, and analyze the related factors in order to put forward effective process optimization measures. Methods Totally 122 patients with acute ischemic stroke admitted into a Beijing grade A tertiary hospital who needed receive thrombolysis treatment from June 2014 to June 2015 were selected as the research object according to the purpose sampling method. Then we recorded the time in the whole process which were devided into 4 steps ( arrived at the emergency department- obtained consultation of stroke physicians;obtained consultation of stroke physicians- arrived in CT chamber; arrived in CT chamber- got CT scan results; got CT scan results- accepted thrombolysis therapy ) . Results The time delayed in hospital of intravenous thrombolysis group and artery thrombolysis group were (114.95±29.48)min and (171.22±50.10)min. The step of biggest delta-T between the actual time and standard time of two groups were both from getting a CT scan results to accepting thrombolysis therapy.Conclusions The delay after getting a CT scan results is the most important reason of delay in hospital. Shorten the time of blood test, optimize the hospital management and perfect the construction of the green channel, can promote the situation of the delay in hospital, and, improve the efficiency of thrombolysis treatment.

Objective To obtain the range of anatomical parameters of healthy knee joints in Chinese males and validate a statistical shape model(SSM)based on the geometric shape of a healthy knee to provide references for the design of knee SSM-based prostheses.Methods Computed tomography(CT)images of knee joints from 112 healthy males were acquired to build three-dimensional(3D)knee joint models.Each model was the target model separately,and the remaining models were used as the training set for principal component analysis(PCA).The obtained knee SSM was fitted to the target model to predict the SSM.The exact anatomical measurement points were marked on the sample and SSM prediction models,and 17 linear and 3 angular parameters were derived.The values of the anatomical parameters were statistically tested using an independent samples t-test and Mann-Whitney U-test,and the validity of the SSM in terms of geometric shape was demonstrated if the resulting P-values were all greater than 0.05.Results Qualitative and quantitative comparative analyses of anatomical parameters showed that the mean deviation of linear parameters was less than 6 mm,and that of angular parameters was less than 2.5°.The results of statistical tests showed P＞0.05 for all anatomical parameters,proving that the knee SSM prediction model was not statistically different from the true healthy model in terms of geometric shape.Conclusions This study derived a reference range of anatomical parameters for a healthy knee and demonstrated that the knee SSM model was consistent with the real healthy model in terms of shape.The results provide a reference for the design of knee SSM-based prostheses.

Humans ; Data Warehousing ; East Asian People ; Intracranial Hemorrhages/diagnostic imaging* ; Asian People ; Cerebral Hemorrhage/diagnostic imaging*