OBJECTIVE:To analyze bacterial infection of chronic bacterial prostatitis and to provide reference for clinical therapy. METHODS: Prostatic fluid was collected in sterile condition. Positive results of bacterial culture in 261 cases of chronic bacterial prostatitis were analyzed. RESULTS: Of total 261 cases, gram-postive bacteria accounted for 56.7%, which were mainly staphylococcus bacteria (41.9%) and gram-negative bacteria (43.3%) among which Escherichia coli accounted for 42.5%. CONCLUSION: Culture and drug sensitivity analysis of prostatic fluid and rational use of antibiotics based on results of drug sensitivity test has significance for drug use in the clinic.

Objective To investigate the application value of Photoshop in grading invasive risk of gastric stromal tumors (GSTs). Methods EUS image of 97 cases of GSTs confirmed by pathological and immunohistochemical examination were collected. GSTs were divided into four groups (very low risk, low risk, intermediate risk, high risk) by tumor size, mitotic count and rupture of tumor. Mean gray value (intensity of echo) and gray value standard deviation (uniformity of echo) of EUS images of the lesions were determined by Photoshop and then the differences of each group were found by statistical analysis. Results It is difficult to differentiate EUS images of GSTs from each group by visual observation. The mean gray value of EUS image of very low risk group,low risk group, intermediate risk group and high risk group of GSTs respectively were (56.54 ± 6.10), (59.20 ± 7.51), (77.77 ± 10.90) and (83.43 ± 12.47). There was no significant difference between very low risk group and low risk group (P > 0.05). There was no significant difference between intermediate risk group and high risk group (P > 0.05). In addition, the others all had significantly different from that of each group (P < 0.05). The mean gray value standard deviation of EUS image of very low risk group, low risk group, intermediate risk group and high risk group of GSTs respectively were (8.46 ± 2.59), (12.57 ± 5.89), (12.84 ± 4.15) and (16.69 ± 4.69). There was no significant difference between low risk group and intermediate risk group (P > 0.05). In addition, the others all had significantly different from that of each group (P < 0.05). Conclusions The higher risk of GSTs, the higher of echo intensity and the worse of echo uniformity under EUS. Photoshop combined with EUS is helpful for differentiating different risk of GSTs by analyzing mean gray value and gray value standard deviation of the lesions.