Objective To understand the distribution of anaerobes in gingivitis infection, and anaerobes sensitivity to ? lastams Methods 44 specimens were taken from the gingival crevicular fluid of gingivitis. The anaerobic bacteria were cultured and identified Minimal inhibitory concentrations (MIC) were measured by using agar dilution method Results Among all samples, the isolation of anaerobes was 100%, the isolation of P.melaninogenica was 86.4%, P.intermedia was 56.8%, B.forsythus was 52.3%, P.gingivalis was 65.9%, F.mucleatum was 63.6%, P.micros was 52.3%, Actinomyces ssp was 38.6% and Capnocytophaga ssp was 9.1% respectively. The anaerobes are sensitive to ? lastams. Conclusion In gingival crevicular fluid, the infection rates of P.melaninogenica, P.intermedia, B.forsythus, P.gingivalis, F.mucleatum, P.micros, and Actinomyces ssp were significantly higher than those of the other anaerobes. ? lastams can be used for the treatment of anaerobes infected gingivitis.

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.

Objective To investigate how to improve test quality by monitoring and analyzing 15 clinical laboratory quality indicators from the National Health and Family Planning Commission .Methods Data were collected from clinical laboratory department of the First Affiliated Hospital of Kunming Medical University between January 2011 and August 2015.15 quality indicators were analyzed retrospectively , including the error rate of specimen type , the coefficient variation unqualified rate of internal quality control test, the reporting rate of critical value , et al.Results The monitoring results of quality indicators basically satisfied the quality goals , except that the median of turn around time in pre-analytical phase was not established, routine internal quality control was not conducted in some laboratory tests in analytical phase and the reporting rate and reporting timely rate of critical value should be further improved in post -analytical phase .Conclusion Medical laboratory quality system can be continuously improved by means of setting up the quality goals of 15 quality indicators referring to sub-specialty and laboratory tests , as well as automated monitoring, statistics and analysis in LIS.

Objective To explore the effect of quality control circle in decreasing the unqualified rate and improving quality of specimen in clinical laboratory during the pre-analytical phase.Methods The laboratory department of the First Affiliated Hospital of Kunming Medical University established quality control circle management model,since March 1 st to June 1 st 2016,following the steps of the theory and method of quality management.Used professional tools of quality control circle to solve existing problems before procedure.Then compared the disqualification rates before and after the implementation,and used chi-square test for statistical analysis.Results After activity of quality control circle,the unqualified rate of specimen in clinical laboratory declined from 0.565%to 0.220%.The difference was statistically significant (χ2=155.22,P<0.01), the goal achievement was 86.25%,the advance rate was 61.06%.And the ability of employees in using scientific means have improved.The ability of using quality control tools increased by 33.3%,the problem solving ability increased by 9.3%, the coordination and communication ability increased by 125%,the team cohesion increased by 56%and the enthusiasm increased by 20.7%. Conclusion With the application of quality control circle tools,the unqualified rate of specimen decreases and the ability of solving problems by applying of quality control circle tools.(Chin J Lab Med,2018,41:324-327)