Objective:To evaluate the clinical effects of invisible bracketless appliance on the upper molar distalization.Methods:15 patients with class Ⅱ malocclusion(at the average age of 25.3 years) were treated by invisible bracketless appliance,the pre and post three-dimensional digital models were superimposed and measured,the effects of molar distalization were analysed.Results:After treatment,the maxillary first molars were distalized by 2.58 mm on both sides.The left and fight second molars were distalized by 2.57 mm and 2.68 mm respectively.Bilateral central incisors were moved mesially by 0.34 mm.There was no significant difference in the horizontal movement of central incisor.But the left and fight first molars were moved buccally by 0.96 mm and 0.97 mm respectively,the left and fight second molars were moved buccally by 1.01 mm and 1.11 mm separately.Bilateral first molars were intruded by 0.26 mm,the left and right second molars were intruded by 0.37 mm and 0.36 mm,respectively.But the central incisors had no significant vertical movement.There was no significant difference in the buccally or palatally rotation of bilateral first and second molars.Conclusion:Invisible bracketless appliance is efficient for distalization of upper molar,but it may result in mild molar intrusion and anterior anchorage loss.

Intestinal mucosal mechanical barrier is one of the most important structure to maintain the body homeostasis.The occurrences of inflammatory bowel disease,necrotizing enterocolitis and poor prognosis of patients with obstructive jaundice are closely related to the damage of the mucosal barrier function.Long-term high fat diet and obstructive jaundice can cause the abnormality of bile acids metabolism.These pathological conditions are often associated with the destruction of intestinal mucosal barrier function.So the correlations between abnormal bile metabolism and intestinal mucosal mechanical barrier function have aroused interests of many researchers.They found that bile acids the important component of bile are closely related to the intestinal barrier function.The paper reviewed the recent articles and summarized the mechanisms of the deficiency of bile acids,excessive bile acids and abnormal bile acids composition damaging the intestinal mucosal barrier function.It will provide reference for the new fields of study,prevention of the toxic effects of bile acids and the improvement of the prognosis of patients.

Objective: The mitotic count of gastrointestinal stromal tumors (GIST) is closely associated with the risk of planting and metastasis. The purpose of this study was to develop a predictive model for the mitotic index of local primary GIST, based on deep learning algorithm. Materials and Methods: Abdominal contrast-enhanced CT images of 148 pathologically confirmed GIST cases were retrospectively collected for the development of a deep learning classification algorithm. The areas of GIST masses on the CT images were retrospectively labelled by an experienced radiologist. The postoperative pathological mitotic count was considered as the gold standard (high mitotic count, > 5/50 high-power fields [HPFs]; low mitotic count, ≤ 5/50 HPFs). A binary classification model was trained on the basis of the VGG16 convolutional neural network, using the CT images with the training set (n = 108), validation set (n = 20), and the test set (n = 20). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated at both, the image level and the patient level. The receiver operating characteristic curves were generated on the basis of the model prediction results and the area under curves (AUCs) were calculated. The risk categories of the tumors were predicted according to the Armed Forces Institute of Pathology criteria. Results: At the image level, the classification prediction results of the mitotic counts in the test cohort were as follows:sensitivity 85.7% (95% confidence interval [CI]: 0.834–0.877), specificity 67.5% (95% CI: 0.636–0.712), PPV 82.1% (95% CI: 0.797–0.843), NPV 73.0% (95% CI: 0.691–0.766), and AUC 0.771 (95% CI: 0.750–0.791). At the patient level, the classification prediction results in the test cohort were as follows: sensitivity 90.0% (95% CI: 0.541–0.995), specificity 70.0% (95% CI: 0.354–0.919), PPV 75.0% (95% CI: 0.428–0.933), NPV 87.5% (95% CI: 0.467–0.993), and AUC 0.800 (95% CI: 0.563–0.943). Conclusion We developed and preliminarily verified the GIST mitotic count binary prediction model, based on the VGG convolutional neural network. The model displayed a good predictive performance.

Objective To evaluate the effect of education on the family function of breast reconstruction after breast cancer. Methods Totally 130 cases of breast reconstruction after breast cancer were selected from January 2015 to August 2017, and 65 cases were divided into observation group and control group by random number table method. The control group received routine education; The observation group and the spouse received synchronous education. In the preoperative and postoperative 3 months, 6 months after the Female Sexual Function Index (FSFI) to assess patients sexual function, the Family Intimacy and Adaptability Scale to assess the patient's family intimacy and adaptability, comparing the indicators of two groups of patients. Results After 6 months of operation, the two groups were compared, and the intervention group was (24.82 ± 3.75) points, and the control group was (22.32±4.75), with statistically significant difference(t=- 3.35, P < 0.05). Comparison of familial closeness and adaptability score of the two groups, the intervention group was (76.80 ± 8.14) points, (59.98 ± 3.56) points; The control group was (68.48 ± 11.46) points, (52.27 ± 9.49) points,with statistically significant difference(t=-4.81,-6.18, P<0.05). Conclusion The simultaneous education can improve the sexual function and familial intimacy and adaptability of breast reconstruction after breast cancer.

Objective:This study aimed at analyzing risk factors associated with surgical outcomes of neonatal total anomalous pulmonary venous connection (TAPVC) in our center.Methods:A total of 105 neonates who underwent surgical repair for TAPVC from January 1st, 2009 to January 1st, 2018 were retrospectively analyzed. The anatomical types of TAPVC included supracardiac 42(40%, 42/105), cardiac 21(20%, 21/105), infracardiac 36(34.3%, 36/105), and mixed 6(5.7%, 6/105). The Cox proportional hazards analysis was used to analyze the risk factors related to postoperative pulmonary venous obstruction (PVO) and mortality. Kaplan- Meier analysis was used to analyze the overall survival rates. Results:Twenty-six patients (24.8%, 26/105) were diagnosed with preoperative PVO. The 30-day, 1 year, and 5 years survival rate was 92.4%, 86.7%, and 86.7% respectively. Postoperative PVO occurred in 17 patients (16.2%, 17/105). Preoperative acidosis, low surgical weight, prolonged duration of cardiopulmonary bypass time, increasing postoperative central venous pressure (CVP), and reoperation were risk factors associated with mortality. Preoperative acidosis ( P<0.001), prolonged duration of cardiopulmonary bypass time ( P<0.001), and increasing postoperative CVP ( P=0.005) were independent risk factors for mortality. Mixed TAPVC, preoperative acidosis, low surgical age, prolonged cardiopulmonary bypass time, postoperative pulmonary arterial hypertension were risk factors associated with postoperative PVO. Prolonged cardiopulmonary bypass time ( P=0.029), postoperative pulmonary arterial hypertension ( P<0.001), and mixed TAPVC ( P=0.017) were independent risk factors associated with postoperative PVO. Conclusion:The surgical outcomes of neonatal TAPVC in our center were acceptable, with low mortality rate and incidence of PVO. However, neonates with preoperative acidosis, prolonged duration of cardiopulmonary bypass time, and increased postoperative CVP had a poor prognosis. Patients with mixed TAPVC were at increased risk for postoperative PVO.

Gastrointestinal stromal tumor(GIST),with a certain malignant potential,are currently the most common subepithelial tumors of the gastrointestinal tract.Early diagnosis and prediction of malignant potential are very important for the formulation of a treatment plan and determining the prognosis of GIST.Deep learning technology has made significant progress in the diagnosis of digestive tract diseases,and it can also effectively assist physicians in diagnosing GIST and predicting their malignant potential,preoperatively.The application of deep learning technology in the diagnosis of GIST includes CT,gastrointestinal endoscopy and endoscopic ultrasound.This paper aims to review the application of deep learning technology in the diagnosis and prediction of malignant potential of GIST.

Objective To evaluate the effects of oral undenatured collagen type Ⅱ on rehabilitation of knee osteoarthritis. Methods Sixteen patients with levelⅠand Ⅱ knee osteoarthritis (KOA) were recruited in this study. The WOMAC questionnaire was used to measure the symptoms of knee joint in patients. The KneeKG 3D evaluation system was used to measure the kinematics characteristics of the knee joints. The pair t-test was applied to analyze the differences in knee kinematics after taking undenatured collagen type Ⅱ for 3 months. Results After taking undenatured collagen type Ⅱ, the patient’s feeling of knee joint pain, stiffness, and the difficulty of daily life was reduced. In addition, the knee flexion angle increased from 51.8°±15.2° to 58.4°±10.7° (P<0.05), and the knee varus angle decreased to 2.1°±4.8°. The improvement rate of knee varus was 82%. Conclusions Taking undenatured collagen type Ⅱ for 3 months could play a role in rehabilitation for patients with early KOA. The knee range of motion was close to the level of healthy elderly people, thus improving the symptoms of knee varus.

Colorectal cancer is one of the leading causes of morbidity and mortality around the world. Although the staging and classification systems, such as tumor/node/metastasis (TNM) staging, are widely used in clinic, there are some limitations. For example, the patients with the same pathological type, TNM stage and treatment regimen show a completely different prognosis and outcome. In the present, molecular subtyping was concerned for a more precise and accurate staging of colorectal cancer. Herein, we reviewed the literature of the molecular subtypes of colorectal cancer in the past decades. The clinical significance of various molecular subtyping systems was evaluated and compared. It will provide reference for the precision medicine of colorectal cancer in the future.

Objective:To explore the differences of microenviroment between peri-implant tissue and oral mucosal tissue.Methods:The gene chip data GSE43744 was downloaded from the GEO database,bioinformatics tools were used to analyze the differentially ex-pressed genes between the peri-implant tissue and normal oral mucosal tissue in rat.Results:1315 differentially expressed important genes,including 797 upregulated genes and 518 downregulated genes,were screened out.Gene enrichment analysis showed that com-pared with normal oral mucosal tissue,the gene expression of innate immune activity,cell activation,inflammatory response,and func-tional expression related to external and bacterial stimuli in peri-implant tissue were significantly upregulated,while that of extracellular matrix tissue,adhesion,extracellular matrix polysaccharides,response to mechanical stimuli and response to toxic substances was sig-nificantly downregulated.Meanwhile,multiple molecular functions and biological pathways related to T cells were highly expressed,which may play an important role in the peri-implant microenvironment.In addition,PPI network was constructed,and screened 7 core genes including FCER1G,TYROBP,PTPRC,ITGB2,AIF1,EMR1 and RAC2,which may be target genes for studying peri-implant microenvironment.Conclusion:There is a significant difference of microenvironment characteristics between peri-implant tissue and o-ral mucosa.The target genes screened using PPI network may be the key to future research on the peri-implant microenvironment.

Objective: To study the clinical characteristics of mucosal melanoma in the head and neck, including the risk factors affecting distant metastasis, recurrence and survival rate, and to provide the basis for the individualized treatment of mucosal melanoma in the head and neck. Methods: The clinical data of 117 cases of mucosal melanoma in the head and neck treated from January 2004 to June 2016 in Beijing Tongren Hospital were analyzed retrospectively, and the risk factors affecting the prognosis, distant metastasis and local recurrence were analyzed.Kaplan-Meier analysis was used for survival analysis, and Log-Rank test was used for comparison between groups. Results: The follow-up time was 5-139 months, with a median of 32 months, and the median survival time was 34 months.The 3 and 5 year cumulative survival rates were 47.0% and 25.0%, respectively.Local recurrence occurred in 27 patients (23.1%), and distant metastasis in 37 cases (31.6%). After the operation, 50 patients received radiotherapy.Multiple factor Cox regression analysis showed that distant metastasis, AJCC staging, and two operations were risk factors affecting survival (P<0.05), and immunologic/targeted therapy was a protective factor affecting survival prognosis(P=0.008). Postoperative radiotherapy and distant metastasis were important factors affecting recurrence (P<0.05). AJCC staging, pigmentation, and postoperative recurrence were risk factors for distant metastasis (P<0.05). Conclusion The 3 and 5 year survival rates of primary mucosal melanoma in head and neck are low, and the incidence of local recurrence and distant metastasis are high. Surgery is the first choice and the integrity of the initial operation has an important impact on the prognosis of the patients. Postoperative adjuvant radiotherapy is recommended to improve the local control rate, and immunotherapy and targeted therapy should be applied in time to improve survival.