PurposeTo explore the segmentation accuracy of different filtering and segmentation methods in brain tumor MRI, and to identify the best algorithm for brain glioma.Materials and Methods Using the nonlocal average ifltering, median ifltering, the anisotropic ifltering and improved mean shift algorithm segmentation, the watershed segmentation algorithm, fuzzy c-means segmentation algorithm to realize image segmentation in MATLAB program, 39 glioma images from different patients were analyzed. Pathology manual segmentation was used as gold standard to evaluate different segmentation precision.Results The signal-to-noise ratio was 7.9243, 6.2160 and 6.5426 for different iflter methods, respectively. The segmentation methods accuracy was 92.31%, 88.03% and 84.93%, respectively.Conclusion The nonlocal average ifltering effect is more accurate than median ifltering and the anisotropic ifltering. The improved mean shift algorithm segmentation is more accurate than watershed segmentation algorithm and fuzzy c-means segmentation algorithm with precision of 92.31%.

Objective:To explore the correlation between serum microRNA(miR)-124 and miR-181c expression and the treatment outcome of Solitaire stent thrombectomy in patients with acute cerebral infarction and its influencing factors.Methods:Eighty-one patients with acute cerebral infarction performed Solitaire stent thrombectomyfrom June 2018 to October 2020 in the Affiliated Hospital of Jining Medical College were selected. The predictive value of miR-124, miR-181c expression in patients with acute cerebral infarction were analyzed.Results:In 81 patients, 21 patients with poor outcome(poor outcome group) and 60 patients with favorable outcome (favorable outcome group). The ratio of age ≥ 60 years in poor outcome group was higher than that in the favorable outcome group: 76.19% (16/21) vs. 46.67% (28/60), there was statistical difference ( χ2 = 5.46, P<0.05). The levels of miR-124, miR-181c before surgery and postoperative 1-day, 7-day in the favorable outcome group were higher than those in poor outcome group: 2.81 ± 0.82 vs. 2.24 ± 0.74, 3.01 ± 1.52 vs. 2.07 ± 1.04, 3.25 ± 1.67 vs. 1.86 ± 0.92; and the levels of miR-181c before surgery and postoperative 1-day, 7-day in the favorable outcome group were lower than those in the poor outcome group: 1.43 ± 0.59 vs. 1.79 ± 0.65, 1.35 ± 0.62 vs. 1.94 ± 0.79, 1.24 ± 0.60 vs. 2.16 ± 1.08, there were statistical differences ( P<0.05). The results of Logistic multivariate analysis showed that the age, the levels of miR-124, miR-181c before operation and postoperative 1-day, 7-day were influencing factors for the treatment outcome of Solitaire stent thrombectomy. The receiver operating characteristic (ROC) curve analysis showed that the area under the curve of miR-124, miR-181c on the postoperative 7-day were 0.806, 0.861, and were higher than those before operation and the postoperative 1-day, the diagnostic sensitivity were 71.43%, 76.19%, the specificity were 88.33%, 85.00%. Conclusions:The expression of miR-124 and miR-181c in the serum of acute cerebral infarction is related to the outcome of Solitaire stent thrombectomy, especially the expression level on the postoperative 7-day has better application value. It can be used to predict the outcome of surgery.

Objective:To investigate the data on death cause of residents around Sanmen nuclear power plant from 2015 to 2019.Methods:The data on death cause of residents in Sanmen county from 2015 to 2019 were collected, and the top 10 diseases in death causes ranking and radiation-related malignant tumors were analyzed.Results:The average mortality rate of residents in Sanmen county was 575.87 per 100 000 population from 2015 to 2019, lower than the national level and close to that in Zhejiang Province. The top 10 death causes remain unchanged, higher than 95.79% of total deaths. The mortality rate of malignant tumor increased from 159.23 per 100 000 population in 2015 to 191.51 per 100 000 population in 2019 (χ 2=15.889, P<0.05). There was no significant difference in the proportion of mortality from radiation-related tumor(leukemia and thyroid cancer) in Sanmen county in recent 5 years ( P>0.05). Conclusions:From 2015 to 2019, the death rates of residents in Sanmen county were relatively stable. The effects of the operation of the nuclear power plant on the health of the local residents need to be continuously monitored.