ABSTRACT
Objective To evaluate conventional ultrasound combined with real-time elastography in differential diagnosis of metastatic axillary lymph nodes of breast cancer with a logistic regression model.Methods Conventional ultrasound and real-time elastography were performed in 112 breast cancer patients with 113 axillary lymph nodes.All the cases were confirmed with pathological examinations after surgery. A binary logistic regression model based on ultrasonographic features was developed.A receiver operator characteristic ( ROC) curve was constructed to assess the performance of the model.Results There were 28 nodes with no metastasis and 85 with metastasis in a total of 113 axillary lymph nodes.Three ultrasonographic features including the elastic strain ratio(SR), elastic score and shape were finally selected into the logistic regression model .The correct rate of the logistic regression model for predicting axillary lymph node metastasis was 93.8%, and the area under ROC curve was 0.962.Conclusion The binary classification logistic regression model has a good diagnostic efficacy in the diagnosis of benign and malignant axillary lymph nodes,while real-time elastography can improve the accuracy of conventional ultrasound in the diagnosis of axillary lymph nodes.
ABSTRACT
Objective To investigate the clinical value of the simple clinical score (SCS) in Emergency Department.Methods A total of 655 patients with critically illness admitted from July 1,2011through August 31,2011 were enrolled to evaluate the clinical application of SCS in emergency rescue room by analysis of the relationship between SCS and outcome of patients,and the correlation between each factor of SCS and the risk of death. Results The higher SCS,the higher hazard ratio for death.Differences in the hazard ratio for death among groups with different scores of SCS were statistical significance ( P ＜ 0.01 ).According to Chi-square test,there were significant differences in each factor ( except body temperature &unable standing or need Home Health Aide) among the groups of SCS ( P ＜ 0.05 ). Binary logistic regression analysis of each factor showed that age,diabetes,coma,pulse,systolic pressure and respiratory rate had significant correlation with patient mortality. After logistic regression analysis,age,diabetes,coma,pulse,systolic pressure and respiratory rate are significantly related to the mortality of patients.Conclusions The SCS scoring system is useful to make a precise evaluation of critically ill patients in the emergency department.When emergency rescue is carried out,particular stress should be focused on age,diabetes,coma,pulse,systolic pressure and respiratory rate.