Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.

Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.

From September 2017 to February 2018, 650 disabled children and adolescents aged 6-to 17-year-old in Beijing were matched 1∶1 to those in normal physical condition with same age, gender and place of residence. All children and adolescents were investigated for self-injury status in the last year to understand the difference of self-injury incidence between groups. Multivariate unconditional logistic regression model was applied for exploring relevant factors of self-injury of children and adolescents. This study found that the disability, insufficient sleep, difficulty falling asleep, and sleeping late were associated with self-injury of children and adolescents.

Objective To investigate the characteristics of liver tissue pathology and immunohistochemistry in HBeAg negative hepatitis B virus infection and provide a reference for the diagnosis and treatment.Methods Liv-er biopsy was carried out on the 63 HBeAg negative HBV infections,then liver tissue inflammation,fibrosis and immu-nohistochemistry were detected.Results In HBeAg negative and HBV DNA negative patients,both the male and female,ALT normal and mildly abnormal group had no significant difference in liver inflammation and fibrosis(all P >0.05).Among the patients with fibrosis stage ≥S2,the ratio(30 /41,73.2%)of patients above 30 years old was higher than that below 30 years old (6 /14,46.2%)(P =0.041).There were no differences in liver tissue inflamma-tion(5 /34,14.7% vs.9 /29,31.0%)and fibrosis (8 /34,23.5% vs.8 /29,27.6%)between HBV DNA negative group and HBV DNA positive patients(all P >0.05).Only 2 cases of HBcAg positive in those 63 cases of liver tissue immunohistochemistry.Conclusion The liver tissues of HBeAg negative HBV DNA negative or positive patients have obvious liver inflammation and fibrosis,and the necessary treatment measures should be taken.HBcAg positive is extremely low in those liver tissue immunohistochemistry,which lead to the pathogenesis of liver inflammation needs further research.

P2X7 is the most important subtype of the ATP receptors known so far. Recent investigations showed that the downstream signaling pathway of P2X7 is coupled with several key inflammatory molecules including IL-1beta and IL-18, this suggests P2X7 might have roles in the inflammatory diseases. Moreover, attenuation of P2X7 by selective antagonists in vitro and knockout mice in vivo reducing the inflammatory response indicated that P2X7 is a potential therapeutic target for inflammatory diseases. However, most previous studies on P2X7 were focused on nerve system diseases most, while its effects in inflammatory respiratory diseases, especially in asthma, chronic obstructive pulmonary disease (COPD) and lung cancer have been poorly investigated. In this paper, we reviewed the research progress on the structure, distribution, biological activities of P2X7 and its relationship with inflammatory respiratory diseases including asthma, COPD and lung cancer, along with the development of P2X7 antagonist as therapeutics.

Objective:To evaluate the effects of three bond agents on bond strength of titanium- ceramic system. Methods: The pure titanium specimens were randomly divided into three groups. Three different manufacturers' porcelains(Super Ti22,Duceratin,Titankeramik) were used specially for titanium- ceramic bonding. The specimens in each group were further divided into two subgroups:bond agent group and no bond agent group. Bond strength of specimens was measured by the three- point bending test according to ISO9693. The titanium- ceramic interfaces were investigated by SEM/EDS. Results:The bond strength of Super Ti22(35.84±2.17) MPa and Duceratin(35.45±2.37) MPa with bond agent group was significantly higher than that of no bond agent group(P<0.05). Titankeramik with bond agent group showed a little higher bond strength than without bond agent, but no significant difference in statistics(P>0.05). The interfaces of Super Ti22 and Duceratin with bond agent groups were compact, while there were visible cracks and pores at the interface of other groups. Conclusion:The application of bond agent can improve bond strength of titanium- ceramic system.

Objective; To evaluate the influence of electrolyte's concentration at micro-arc oxide treatment on the bonding strength of titanium to porcelain. Methods; CP titanium specimens with size of 25 mm ×3 mm ×0. 5 mm were treated with micro-arc oxidation (MAO) in Na_2SiO_3 solution of three different concentrations. After ultra-low-fusing porcelain was applied, a three-point-flexure-test was used to evaluate the bonding strength of titanium to porcelain. The surface of the specimens was observed by SEM and EDS, as well as the interface between titanium and porcelain. Results; The bonding strength values between titanium treated with MAO and porcelain was significantly higher then the control groups, Croup 20 g/L has the highest bonding strength values. SEM/EDS suggested that a porous thin layer of oxide which contains Si element is created by MAO, and higher concentration of Na_2SiO_3 leads to more Si element in oxide. Conclusion; MAO treating can improve the bonding strength between titanium and ceramic. Electrolyte's concentration has an effect on the bond strength between titanium and porcelain.

Objective:To study effects of the cooling rate on the bonding characteristics of titanium porcelain bonded to cast titanium.Methods:According to ISO 9693,24 cast titanium plates(25 mm?3 mm?0.5 mm)were prepared.The middle of the samples(8 mm?3 mm) were bonded with bonding porcelain,opaque porcelain and dentin porcelain.The specimens from each porcelain-metal combination group were randomly assigned into four experimental cooling rate conditions,namely cooling rate of 15,40,50 and 100 ℃/min.A three-point-flexure-test was used to evaluate the bonding strength of titanium porcelain bonded to cast pure titanium.SEM/EDS were taken to characterize the failed surface of the titanium-porcelain interface.Statistical analyses were made by one-way analysis of variance(ANOVA).Results:The bonding strength of 15 ℃/min group was significantly higher than other groups.There were no significant differences in bond strength between 40 ℃/min and 50 ℃/min groups.SEM/EDS revealed that with an increase cooling rate,the remained porcelains on the titanium side were decreased.Conclusion:The 15 ℃/min cooling rate might be an effective method to improve the titanium-porcelain bonding strength.

Objective:To evaluate the effects of three bond agents on bond strength of titanium-ceramic system.Methods:The pure titanium specimens were randomly divided into three groups.Three different manufacturers' porcelains(Super Ti22,Duceratin,Titankeramik)were used specially for titanium-ceramic bonding.The specimens in each group were further divided into two subgroups:bond agent group and no bond agent group.Bond strength of specimens was measured by the three-point bending test according to ISO9693.The titanium-ceramic interfaces were investigated by SEM/EDS.Results:The bond strength of Super Ti22(35.84?2.17)MPa and Duceratin(35.45?2.37)MPa with bond agent group was significantly higher than that of no bond agent group(P0.05).The interfaces of Super Ti22 and Duceratin with bond agent groups were compact,while there were visible cracks and pores at the interface of other groups.Conclusion:The application of bond agent can improve bond strength of titanium-ceramic system.