Dongting Lake area is one of the major marshland schistosomiasis endemic areas in China. In recent years spatial epidemiology is widely used in the research of schistosomiasis which is a new opportunity to break through the current wander-ing situation of schistosomiasis control. In this article both the generalized and Dongting-Lake-specific epidemic indicators of schistosomiasis are reviewed to provide the basis to construct the schistosomiasis Geographic Information System GIS database of Hunan Province.

Objective To assess the relationship between gastric carcinoma perfusion imaging parameters with the multislice spi-ral CT (MSCT)and the tumor angiogenesis(MVD,VEGF).Methods (1)33 patients with gastric cancer were carried on perfusion CT scanning in the suspected lesions,and compared with operation and histological result.MSCT perfusion parameters tumor,such as local blood flow (BF),blood volume (BV),mean transit time of contrast agent (MTT),permeability surface (PS),were recor-ded,and compared with clinical pathological data.(2)27 patients of 33 cases which CT perfusion plane matching with operation pa-thology specimens performed with tumor microvessel density (MVD),vascular endothelial growth factor (VEGF)monoclonal anti-body immunohistochemical examination of MVD,the most intensive areas of high power (×200 HP)field counted,and VEGF stai-ning positive judged.Results Achievement ratio of gastric carcinoma MSCT perfusion imaging was 84.85% (28/33).The average value of BF,BV,MTT and PS were 63.658 ± 18.305,7.5 1 1 ± 2.427,1 1.952 ± 4.325 and 31.81 7 ± 13.533,respectively,and MVD was 37.7 ± 11.1/200 HP (range:13-60).VEGF was positive in 16 cases,negative in 11 cases.Gastric carcinoma undifferentiated group perfusion parameter PS value (35.1 5 ± 12.74 )and MVD (40.53 ± 10.66 )were higher than the differentiation group (23.90 ± 12.71 and 31.13 ± 9.82 )(P < 0.05 ),but BF,BV,MTT not statistically significant;Differences of CT perfusion parameters and MVD were not significant statistically between invasive serosa and noninvasive ;PS value (36.65± 12.80)of lymph node metastasis was greater than without metastasis(22.70 ± 1 1.1 5 )(P <0.01 ),the other was no significant difference;TNM staging Ⅲ,Ⅳ phase group of BF value (69.56 ± 1 6.49),PS value (34.90 ± 12.80)and MVD value (40.74 ± 10.53)were higher than Ⅰ,Ⅱ Group (49.63 ± 1 5.04),(24.50 ± 13.13)and (30.63 ± 9.61)(P <0.01).Spearman correla-tion analysis in confidence (two tails)of 0.01 was statistically significant between MVD in tumor tissues and gastric cancer MSCT perfusion parameters of BF (r=0.404)and MTT (r=0.371),whereas BV and PS were no significance.The regression equation of MVD with BF and MTT:MVD =1 6.602+0.1 50XBF +0.967XMTT,model checking of F values was 6.62,P =0.003.Conclusion The gastric carcinoma multi-slice CT perfusion imaging parameters BF,MTT and MVD,VEGF(+)was positive correlation, MSCT perfusion imaging parameters reflects tumor VEGF positive expression of gastric carcinoma.

Medical imaging is an interdisciplinary subject closely related to clinical and pathological subject. Its clinical reading skills' training has become the focus of postgraduate teaching. In the process of clinical teaching, the interactive reading mode of problem-based learning (PBL) combined with multi-disci-plinary team (MDT) was introduced into clinical reading meeting. The tutors chose the reading cases proved by pathology; designed in-depth issues step by step for execution of PBL teaching; guided postgraduates to delineate imaging signs and propose the diagnostic results, evidences and differential diagnoses according to the step from localizing to qualitative and then to pathological diagnosis;then guided postgraduates to attend in-depth case analysis of MDT and analyze the correlation or inconsistency between the imaging diagnosis and clinical and pathological diagnosis; exercise document retrieval and verbalization, multimedia design, and writing level of the records of the reading cases and papers. The interactive reading mode of PBL com-bined with MDT has achieved significant effects, which is worthy of further exploration and promotion.

ObjectiveTo analyze the prevalence rate of non-suicidal self-injury （NSSI） behavior in Chinese adolescents with depression， so as to provide references for the intervention of NSSI behavior in adolescents with depression. MethodsThe literature databases such as CNKI， VIP， Wanfang， China Biology Medicine Disc， PubMed， Web of Science， Cochrane Library and Embase were searched via computer for the cross-sectional studies related to the prevalence of NSSI behavior in adolescents with depression published from inception to February， 2020. Then the eligibility assessment， data extraction and assessment of methodological quality were performed independently by two reviewers， and the Meta-analysis was performed by using RevMan 5.4. ResultsA total of 2 238 adolescents in 10 studies were included. Meta-analysis yielded that the prevalence rate of NSSI behavior in Chinese adolescents with depression was 51% （95% CI： 43%~59%）. Subgroup analysis of NSSI behavior in adolescents with depression implied that the prevalence rate was 36% （95% CI： 22%~50%） in female adolescents， which was higher than 18% （95% CI： 12%~24%） in male adolescents. The prevalence rate of NSSI behavior was 57% （95% CI： 38%~77%） in depression adolescents with suicidal ideation， which was higher than 4% （95% CI： 0~8%） in those without suicidal ideation. The prevalence rate of NSSI behavior was 54% （95% CI： 41%~67%） in depression adolescents diagnosed with Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5）， which was higher than 46% （95% CI： 40%~51%） in those diagnosed with the International Classification of Diseases， tenth edition （ICD-10）. The prevalence rate of NSSI behavior was 52% （95% CI： 41%~63%） in depression adolescents in the literatures with quality score of 7， which was close to 50% （95% CI： 44%~55%） in depression adolescents in the literatures with quality score of 6. The comparison of above subgroups all had statistical differences （P<0.05 or 0.01）. ConclusionChinese adolescents with depression suffer a high prevalence rate of NSSI behavior， with higher prevalence in females than in males， and in those with suicidal ideation than in those without suicidal ideation.

Objective: To establish a CT image radiomics-based prediction model for the differential diagnosis of silicosis and tuberculosis nodules. Methods: A total of 53 patients with silicosis and 89 patients with tuberculosis who underwent routine CT scans in Suzhou Fifth People's Hospital from January to August, 2018 were enrolled in this study. AK/ITK software was used to segment the images to obtain 139 silicosis lesions and 119 tuberculosis lesions. For each lesion image, 396 features were extracted, and feature dimension reduction was applied to select the most characteristic feature subset. Support vector machine (SVM) , feedforward back propagation neural network (FNN-BP) , and random forest (RF) were implemented using R software (Rstudio V1.1.463) , and the algorithm that achieved the largest area under of the receiver operating characteristic (ROC) curve (AUC) was selected as the final prediction model. Results: RF was the best prediction model for the differential diagnosis of silicosis and tuberculosis nodules, with an accuracy of 83.1%, a sensitivity of 0.76, a specificity of 0.9, and an AUC of 0.917 (95% confidence interval: 0.8431-0.9758) . RF had a significantly larger AUC than SVM and FNN-BP (P<0.05) . Conclusion CT image-based RF prediction model can be used to differentially diagnose silicosis and tuberculosis nodules.

OBJECTI VE To optimize the extraction technology of the leaves of Dimocarpus longan according to flavonoids and phenolic acids. METHODS The contents of gallic acid ，protocatechuic acid ，ethyl gallate ，quercetin，luteolin and kaempferol in the leaves of D. longan were determined by HPLC. Based on single factor test ，with the ethanol volume fraction ，solid-liquid ratio and extraction time as factors ，using comprehensive scores of the contents of above six components as indexes ，the extraction technology of the leaves of D. longan was optimized by Box-Behnken response surface methodology. RESULTS The optimal extraction technology included ethanol volume fraction of 100％，solid-liquid ratio of l ∶ 7（g/mL），extraction time of 90 min， extraction temperature of 80 ℃. After 3 times of validation tests ，the average comprehensive score was 97.54（RSD＝0.33％，n＝ 3），relative error of which with predicted score （99.05）was 1.55％. CONCLUSIONS Box-Behnken response surface methodology combined with multi-index comprehensive score can be used for the extraction technology of the leaves of D. longan ，and the optimized extraction technology is stable and feasible.

Humans ; Aged ; Lung Diseases ; Pneumonia/drug therapy* ; Adrenal Cortex Hormones/therapeutic use* ; Pulmonary Disease, Chronic Obstructive/drug therapy* ; Administration, Inhalation ; Community-Acquired Infections/drug therapy*