Objective To evaluate the diagnostic value of serum neuron specific enolase(NSE) dynamic changes in brain death patients.Methods After onset of brain death,the serum NSE levels at 24,48 and 72 hours were determined by enzyme linked immunosorbent assay(ELISA) in 30 such patients(brain death group),and the NSE levels were also determined by the same method in 30 extra severe craniocerebral injury patients(cerebral injury group)as concurrent control for comparisons.Results The serum NSE level increased over time both in brain death and severe craniocerebral injury patients.The serum NSE levels of brain death patients were higher than those in extra severe craniocerebral injury patients significantly at 24,48 and 72 hours after onset respectively(all P370 ?g/L) in 5 days,and 3 cases in 7 days.But similar phenomenon was not observed in 13 cases with severe craniocerebral injury and having stayed in ICU over 1 week whose serum NSE level,on the contrary,was decreased gradually after 3 days of onset. It was statistical significant when the serum NSE levels were compared at the same time points between the two groups(P

Objective:To study the risk factors of axillary lymph node metastasis by analyzing the acoustic image characteristics of the automated breast volume scanner (ABVS) of breast cancer masses.Methods:The imaging features of ABVS of 212 patients with breast cancer, unilaterally and singly, confirmed by pathological examination admitted in Hangzhou First People’s Hospital from Jan. 2016 to Dec. 2018 were retrospectively analyzed. There were 83 cases with axillary lymph node metastasis (metastatic group) and 129 cases without (non-metastatic group) . The correlation of clinical and the imaging features of ABVS with axillary lymph node metastasis was analyzed using univariate analysis and multivariate logistic regression. ROC curve was used to analyze the cut-off value of the maximum diameter of the mass in predicting the breast cancer axillary lymph node metastasis. The sensitivity, specificity, positive predictive value, and negative predictive value of each risk factor were analyzed for predicting breast cancer axillary lymph node metastasis.Results:The retraction phenomenon and micro-calcification of breast cancer in the metastatic group (60.2%, 65.1%) were higher than those in the non-metastatic group (43.4%,37.2%) ( P=0.017 vs P<0.001) . The maximum diameter of the breast cancer in the metastatic group was bigger than in the non-metastatic group ( Z=2.18, P=0.029) . Multivariate logistic regression analysis showed that the micro-calcification of breast cancer ( OR=2.522, P=0.003) was an independent predictor of lymph node metastasis in breast cancer. The area under the curves and the cut-off value of the maximum diameter of the mass in predicting the breast cancer axillary lymph node metastasis were 0.589 and 2.85 cm. The sensitivity was 34.9%, the specificity was 82.9%, the positive predictive value was 56.9%, and the negative predictive value was 66.5%. The sensitivities of micro-calcification and retraction phenomenon to predict the occurrence of axillary lymph node metastasis in breast cancer patients were 65.1% and 60.2%, specificities were 62.8% and 56.6%, positive predictive values were 52.9% and 47.2%, and negative predictive values were 73.6% and 68.9%. Conclusion:The study suggests that the maximum diameter, micro-calcification, and retraction phenomenon of masses are associated with the occurrence of the axillary lymph node metastasis in breast cancer.