ObjectiveTo investigate the clinical efficacies of ultramicro needle knife plus Maitland technique in treating knee osteoarthritis.MethodEighty patients were randomly allocated to observation and control groups, 40 cases each. The observation group received ultramicro needle knifeplus Maitland technique and the control group, Maitland technique alone. The subjects’ symptoms were scored using the Visual Analogue Scale (VAS) and the Lysholm Knee Score Scale (LKSS) before and after four and six weeks of treatment. The clinical therapeutic effects were evaluated in the two groups.ResultAfter four weeks of treatment, the total efficacy rate was 91.9% in the observation group (37patients) and 76.3% in the control group (38 patients); there was a statistically significant difference between the two groups (P<0.01). The VAS score and the LKSS score improved significantly in the two groups compared with before treatment (P<0.01) and improved more in the observation group than in the control group (P<0.01). There were no statistically significant differences in the VAS score and the LKSS score between after six and four weeks of treatment in the observation group (P>0.05). There were statistically significant differences in the VAS score and the LKSS score between after six and four weeks oftreatment in the control group (P<0.05). No adverse reactions occurred during the whole treatment course.ConclusionUltramicro needle knife plus Maitland technique is significantly superior to Maitland technique alone and can markedly relieve the pain and dysfunction in patients with knee osteoarthritis. It is characterized by short time to produce an effect, a lasting therapeutic effect and high safety.

Objective:To explore the value of radiomics based on 18F-fluorodeoxyglucose (FDG) PET/CT in predicting the Children′s Oncology Group (COG) risk stratification of neuroblastoma (NB). Methods:From March 2018 to November 2019, the 18F-FDG PET/CT images of 125 NB children (51 males, 74 females, age: 0.5-10.5 years) confirmed pathologically in Beijing Friendship Hospital were retrospectively analyzed. According to the COG classification, patients were divided into high-risk group and non-high-risk group (including low- and intermediate-risk). Imaging radiomics features were extracted from PET and CT images and screened. Logistic regression was used to build the first model based on radiomics features (R_model) and calculate radiomics score (Rad_score), then build the second model (RD_model) based on Rad_score and demographic features and at last build the third model (RDC_modle) based on Rad_score, demographic features and clinical features. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of these models. Results:The training set contained 94 NB cases (63 high-risk cases, 31 non-high-risk cases), and the validation set contained 31 NB cases (21 high-risk cases, 10 non-high-risk cases). Four radiomics features were obtained by screening, of which two features were based on CT images and the other two features were based on PET images. The area under the curves (AUCs) of the R_model, RD_model and RDC_model in training or validation set were 0.91, 0.94, 0.98 or 0.86, 0.92, 0.95, respectively. The accuracies of the R_model, RD_model and RDC_model in training or validation set were 86%(81/94), 89%(84/94), 93%(87/94) or 84%(26/31), 84%(26/31), 87%(27/31), respectively.Conclusions:Radiomics based on 18F-FDG PET/CT can accurately predict the COG risk stratification of NB. Prediction model of radiomics features combined with demographic and clinical characteristics can further improve the accuracy of predicting NB COG risk stratification, which can help personalized and precise therapy protocol management in NB.

Objective: Using data of health information system (HIS) of medical institutions to study the incidence and hospitalization of herpes zoster in three districts of Beijing. Methods: According to the different level of economic development and geographical features in Beijing, 3 districts of Xicheng, Changping and Miyun were chosen and all 110 medical institutions of the first level and above in the 3 districts are included in the survey. All the outpatient and inpatient herpes zoster cases in 2015 were retrospectively reviewed by HIS system. After distinguishing the reduplicated cases, Using the first outpatient case as a molecule and the resident population as denominator to estimate the annual incidence rate, as well as the annual hospitalization rate was estimated based on primary diagnostic hospitalized cases as molecule and the resident population as denominator. Results: A total of 32 313 primary visit outpatient cases were investigated, of which 18 360 cases (56.8%) were women and 20 923 cases (64.8%) were ≥50 years old. The overall estimated incidence of the 3 districts was 8.8‰ with an increase trends with age and reached to the highest in ≥80 years old (30.5/1 000). The incidence of Xicheng, Changping and Miyun districts are respectively 16.2‰, 4.0‰ and 5.7‰. A total of 701 primary visit inpatient cases were identified, of which 366 cases (52.2%) were women and 651 cases (92.9%) were ≥50 years old. The estimated annual hospitalization rate was 19.4/100 000, with the primary and secondary diagnostic hospitalization rate are respectively 5.9/100 000 (212 cases) and 13.5/100 000 (489 cases). The disease types of secondary diagnostic inpatient herpes zoster cases were as follows: cardiovascular disease (19.0%, 93 cases), stroke (14.5%, 71 cases), pneumonia/chronic obstructive pulmonary disease (14.1%, 69 cases), tumor (12.5%, 61 cases) and diabetes (5.7%, 28 cases). Conclusion Most of the herpes zoster cases in Beijing are over 50 years old, and the incidence of female is slightly higher than male. This disease should become a public health issue of great concern.