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Objective To explore the clinical significance of combined detection of carbohydrate antigen(CA)125,CA153,carcinoembryonic antigen(CEA) and tumor specific growth factor(TSGF) in diagnosis for breast cancer.Methods A total of 125 patients with breast cancer were recruited as objects in this study from march 2015 to march 2016,65 patients in breast cancer group,60 patients in benign breast disease group,meanwhile 55 healthy person were enrolled in the control group.Serum tumor markers such as CA125,CA153,CEA and TSGF were detected and compared in the three groups.Results The serum CA125,CA153,CEA and TSGF levels in the breast cancer group were significant higher than those of benign breast disease group and healthy group,the differences were statistical significant(P<0.05).At the same time,the sensitivity and specificity of joint detection of four kinds of serum tumor marker were 90.2% and 88.9%,which were higher than those of single serum tumor marker detection(χ2=26.12,P<0.05).Conclusion The four kinds of serum tumor markers combined testing not only increases the sensitivity of breast cancer diagnosis,but also improved the specificity of diagnosis of breast cancer.
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Objective To investigate the value of Q-analysis real-time elasticity in differentiating between benign and malignant thyroid nodules. Methods Eighty-six thyroid nodules in 62 patients with pathologic diagnosis were included in this study and were examined using Q-analysis real-time elasticity. The real-time elasticity features were observed and the quantitative index including the whole elasticity rate and the local elasticity rate were compared between benign and malignant nodules. Results There were 51 benign and 35 malignant nodules according to histopathological examination. The Q-analysis curve of real-time elasticity of benign nodules was smoother and with lower peak, compared with that of malignant nodules. The whole elasticity rate of malignant nodules were significantly higher than that of benign nodules (3.59±0.84 vs 2.32±0.56, P=0.000). And the local elasticity rate of malignant nodules were significantly higher than that of benign nodules (3.96±1.32 vs 2.39±0.58, P=0.000). The cutoff point of whole elasticity rate for the differential diagnosis was 3.25 with sensitivity, specificity and diagnostic accuracy as 71.4%, 96.1% and 86.0% respectively. The cutoff point of local elasticity rate for the differential diagnosis was 3.45 with sensitivity, specificity and diagnostic accuracy as 68.6%, 96.1% and 84.9% respectively. The diagnostic efficiency of whole elasticity rate and local elasticity rate had no significant difference (P=0.591).Conclusions Q-analysis real-time elasticity could provide the real-time elasticity features of thyroid nodules. The whole and local elasticity rate as the quantitative index contributed to the differential diagnosis of benign and malignant thyroid nodules.
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0.05. Fixed effect model analysis showed that the summary RR was 1.43 (95%CI, 1.36 to 1.90), indicating a higher risk of future coronary heart disease in individuals with periodontal disease compared with those without. Conclusion This result suggests that periodontal disease is significantly related with coronary heart disease, they may be a risk indicator for each other. However, we should strengthen the prevention and cure of PD and control the probability of CHD.
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Objective This paper presents formula for determining the sample size required in case-control study to estimate vaccine efficacy VE with adjusting the precision of confidence interval.Methods Formula to calculate sample size is derived from the principle of relative width of the confidence interval.Results Prespecified relative width may regulate and control the precision of confidence interval and may reflects magnitude of the sample size.Conclusion Sample size calculated by formula will assure that the investigator understand accurately the degree of point estimates of VE close to the true value of VE in the population.
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Objective:Analyzing on T cell subsets of patients with severe acute respiratory syndrome.Methods:Indexed thesis for T cell subsets of patients with severe acute respiratory syndrome.Big sample data was synthesized in these thesis.The data were analyzed with RevMan4.2 analysis software.Results:SARS patients in initial stages and progressive stages(14 d) when they were compared with patients in initial stages and progressive stages patients(