Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

OBJECTIVES: Rheumatoid arthritis (RA) imposes a heavy burden on individuals, families, and society. This study analyzed the incidence and mortality trends of RA in China from 1990 to 2023 to provide epidemiological evidence for precise prevention and control. METHODS: Data on RA incidence, age-standardized incidence rate (ASIR), deaths, and age-standardized mortality rate (ASMR) in China by sex and age group from 1900 to 2021 were extracted from the Global Burden of Disease (GBD) 2021 database. Joinpoint regression was used to analyze trends in ASIR and ASMR. An age-period-cohort model was constructed using R4.3.1 to evaluate longitudinal age trends and estimate relative risk (RR) values for period and cohort effects. RESULTS: In 2021, the number of RA cases, ASIR, deaths, and ASMR in China were 247 300, 13.70 per 100 000, 10 300, and 0.54 per 100 000, respectively. From 1990 to 2021, the ASIR of RA increased annually among both females and males, with average annual percentage changes (AAPCs) of 0.44% and 0.72%, respectively. Over the same period, ASMR declined in the total population and among females, with AAPCs of -0.78% and -1.19%, while the change in males was not statistically significant. Age-period-cohort analysis showed that the peak incidence occurred in women aged 60-64 years and men aged 75-79 years, and mortality increased with age. The period effect for incidence rose in both sexes, reaching 1.10 [95% confidence interval (CI) 0.94 to 1.27] for females and 1.14 (95% CI 1.02 to 1.27) for males during 2017 to 2021, compared with 2002 to 2006. The mortality period effect RR exhibited a downward-upward-downward pattern, decreasing to 0.56 (95% CI 0.52 to 0.61) in females and 0.75 (95% CI 0.68 to 0.82) in males in 2017 to 2021. Cohort analysis indicated that the highest incidence risk occurred in individuals born during 2012 to 2016, while the cohort effect RR for female RA mortality showed a continuous decline beginning with the 1922 to 1926 birth cohort. CONCLUSIONS The incidence and mortality risks of RA in China have continued to decline. However, with the aging of the population, the incidence and mortality risks among the elderly have increased. Middle-aged women and elderly men should receive focused attention. Health authorities should strengthen education, prevention, and screening among middle-aged women and enhance disease monitoring in elderly populations to reduce the national burden of RA.
Humans ; China/epidemiology* ; Arthritis, Rheumatoid/epidemiology* ; Incidence ; Male ; Female ; Middle Aged ; Adult ; Aged ; Cohort Studies ; Mortality/trends* ; Age Distribution ; Age Factors ; Aged, 80 and over ; Adolescent

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Pyran- and furanocoumarins are key representatives of tetrahydropyrans and tetrahydrofurans, respectively, exhibiting diverse physiological and medical bioactivities. However, the biosynthetic mechanisms for their core structures remain poorly understood. Here we combined multiomics analyses of biosynthetic enzymes in Peucedanum praeruptorum and in vitro functional verification and identified two types of key enzymes critical for pyran and furan ring biosynthesis in plants. These included three distinct P. praeruptorum prenyltransferases (PpPT1-3) responsible for the prenylation of the simple coumarin skeleton 7 into linear or angular precursors, and two novel CYP450 cyclases (PpDC and PpOC) crucial for the cyclization of the linear/angular precursors into either tetrahydropyran or tetrahydrofuran scaffolds. Biochemical analyses of cyclases indicated that acid/base-assisted epoxide ring opening contributed to the enzyme-catalyzed tetrahydropyran and tetrahydrofuran ring refactoring. The possible acid/base-assisted catalytic mechanisms of the identified cyclases were theoretically investigated and assessed using site-specific mutagenesis. We identified two possible acidic amino acids Glu303 in PpDC and Asp301 in PpOC as vital in the catalytic process. This study provides new enzymatic tools in the epoxide formation/epoxide-opening mediated cascade reaction and exemplifies how plants become chemically diverse in terms of enzyme function and catalytic process.

Objective To investigate the efficacy and safety of interventional therapy for bronchopleural fistula(BPF).Methods A total of 172 patients with confirmed BPF were treated with continuous negative pressure drainage(CNPD)and/or airway stent occlusion therapy.The clinical data were collected,and its effectiveness and safety were analyzed.Results In 5-7 days after interventional treatment,the pneumonia severity index(PSI)decreased significantly,and successful drainage was achieved in 166 patients(96.5％).One month after interventional therapy,the lung volume was remarkably increased.The median clinical healing time of interventional therapy was 9.0 months(95％CI=6.18-1 1.83).Multivariate analysis of the Cox proportional hazards model showed that the diagnosis time(HR=0.53,95％CI=0.38-0.74,P＜0.01)and fistula size(HR=0.74,95％CI=0.55-0.99,P=0.04)were significantly correlated with the clinical healing time.Conclusion For the treatment of BPF,CNPD and/or airway stent occlusion has several advantages such as accurate operation,minimally invasive,safe and effective.It can quickly improve the symptoms and quality of life,and prolong survival,therefore,it is worthy of clinical promotion and application.(J Intervent Radiol,2024,33:641-645)

Objective To discuss the clinical safety,feasibility and efficacy of transcatheter arterial infusion chemotherapy(TAI)combined with lipiodol chemoembolization in the treatment of advanced colorectal cancer(CRC).Methods The clinical data of 37 patients with advanced CRC,who received TAI combined with lipiodol chemoembolization at the First Affiliated Hospital of Zhengzhou University of China between June 2016 and December 2022,were retrospectively analyzed.The clinical efficacy was evaluated,the progression-free survival(PFS)and the serious complications were recorded.Results A total of 55 times of TAI combined with lipiodol chemoembolization procedures were successfully accomplished in the 37 patients.The mean used amount of lipiodol emulsion was 2.9 mL(0.8-10 mL).No serious complications such as bleeding and intestinal perforation occurred.The median follow-up time was 24 months(range of 3-48 months).The postoperative one-month,3-month,6-month and 12-month objective remission rates(ORR)were 67.6%(25/37),67.6%(25/37),64.9%(24/37)and 56.8%(21/37)respectively,and the postoperative one-month,3-month,6-month and 12-month disease control rates(DCR)were 91.9%(34/37),91.9%(34/37),89.2%(33/37)and 81.1%(30/37)respectively.The median PFS was 16 months(range of 2-47 months).As of the last follow-up,22 patients survived and 15 patients died of terminal stage of tumor.Conclusion Preliminary results of this study indicate that TAI combined with lipiodol chemoembolization is clinically safe and effective for advanced CRC,and it provide a new therapeutic method for patients with advanced CRC.

Stomatology internship education is the key to cultivating qualified stomatology talents,medical students will apply theoretical knowledge to clinical practice,cultivate the ability to analyze and solve problems,time is tight,the task is heav-y,in view of its particularity,the Department of Stomatology of the Third Peoples Hospital of Chengdu combined with the theory of total quality management in management to construct a comprehensive quality management system including medical students,The teaching plan and assessment system of the teaching teacher and the management base have achieved good results through the management of the whole process of dental practice teaching management,and a set of dental practice teaching management mode that can be promoted and replicated has been formed.

Stomatology internship education is the key to cultivating qualified stomatology talents,medical students will apply theoretical knowledge to clinical practice,cultivate the ability to analyze and solve problems,time is tight,the task is heav-y,in view of its particularity,the Department of Stomatology of the Third Peoples Hospital of Chengdu combined with the theory of total quality management in management to construct a comprehensive quality management system including medical students,The teaching plan and assessment system of the teaching teacher and the management base have achieved good results through the management of the whole process of dental practice teaching management,and a set of dental practice teaching management mode that can be promoted and replicated has been formed.

Objective:To investigate predictive factors for successful endovascular recanalization in patients with non-acute symptomatic internal carotid artery occlusion (SICAO), to develop a decision tree model using the Classification and Regression Tree (CART) algorithm, and to evaluate the predictive performance of the model.Methods:Patients with non-acute SICAO received endovascular therapy at 8 comprehensive stroke centers in China were included retrospectively. They were randomly assigned to a training set and a validation set. In the training set, the least absolute shrinkage and selection operator (LASSO) algorithm was used to screen important variables, and a decision tree prediction model was constructed based on CART algorithm. The model was evaluated using the receiver operating characteristic (ROC) curve, Hosmer-Lemeshow goodness-of-fit test and confusion matrix in the validation set.Results:A total of 511 patients with non-acute SICAO were included. They were randomly divided into a training set ( n=357) and a validation set ( n=154) in a 7:3 ratio. The successful recanalization rates after endovascular therapy were 58.8% and 58.4%, respectively. There was no statistically significant difference ( χ2=0.007, P=0.936). A CART decision tree model consisting of 5 variables, 5 layers and 9 classification rules was constructed using the six non-zero-coefficient variables selected by LASSO regression. The predictive factors for successful recanalization included fewer occluded segments, proximal tapered stump, ASITN/SIR collateral grading of 1-2, ischemic stroke, and a recent event to endovascular therapy time of 1-30 d. ROC analysis showed that the area under curve of the decision tree model in the training set was 0.810 (95% confidence interval 0.764-0.857), and the optimal cut-off value for predicting successful recanalization was 0.71. The area under curve in the validation set was 0.763 (95% confidence interval 0.687-0.839). The accuracy was 70.1%, precision was 81.4%, sensitivity was 63.3%, and specificity was 79.7%. The Hosmer-Lemeshow test in both groups showed P>0.05. Conclusion:Based on the type of ischemic event, the time from the latest event to endovascular therapy, proximal stump morphology, the number of occluded segments, and the ASITN/SIR collateral grading constructed the decision tree model can effectively predict successful recanalization after non-acute SICAO endovascular therapy.

Squamous cell carcinoma, which originates from squamous epithelium or tissue that undergoes squamous epithelial metaplasia, is one of the most common pathological types of solid human carcinoma. Although squamous cell carcinoma can occur in different anatomical locations, its pathogenesis has commonalities and distinctive features. Genetic mutations and abnormal expression of squamous differentiation markers, epigenetic modifications regulating target gene expression, and tumor microenvironment inducing immune escape of cancer cells are all involved in the development of squamous cell carcinoma. At present, great progress has been made in the research on the pathogenesis of squamous cell carcinoma. This article, combined with relevant research in recent years, reviews the pathogenesis of squamous cell carcinoma in terms of genome changes, epigenetic changes, non coding RNA regulation, tumor microenvironment changes and risk factor induction, so as to provide reference for the prevention and treatment of squamous cell carcinoma.