Objective To establish a predictive model for survival outcomes of glioma patients based on both brain radiomics features from preoperative MRI multi-sequence images and clinical features.Methods We retrospectively analyzed the MRI images and clinical data of 388 glioma patients and extracted the radiomics features from the peritumoral edema zone,tumor core,and whole tumor on T1,T2,and T1-weighted contrast-enhanced(T1CE)and fluid attenuated inversion recovery(FLAIR)sequences.The cases were divided into a training set(271 cases)and a test set(117 cases).Random survival forest algorithms were used to select the radiomics features associated with overall survival(OS)in the training set to construct a radiomic score(Rad-score),based on which the patients were classified into high-and low-risk groups for Kaplan-Meier survival analysis.Cox proportional hazard regression models for the 3 different tumor zones were constructed,and their performance for predicting 1-and 3-year survival rates was evaluated using 5-fold cross-validation and AUC analysis followed by external validation using data from another 10 glioma patients.The best-performing model was used for constructing a nomogram for survival predictions.Results Five radiomics features from the tumor core,7 from the peritumoral edema zone,and 5 from the whole tumor were selected.In both the training and test sets,the high-and low-risk groups had significantly different OS(P<0.05),and age,IDH status and Rad-score were independent factors affecting OS.The combined model showed better performance than the Rad-score model with AUCs for 1-year and 3-year survival prediction of 0.750 and 0.778 in the training set,0.764 and 0.800 in the test set,and 0.938 and 0.917 in external validation,respectively.Conclusion The predictive model combining preoperative multi-modal MRI radiomics features and clinical features can effectively predict survival outcomes of glioma patients.

Objective To establish a predictive model for survival outcomes of glioma patients based on both brain radiomics features from preoperative MRI multi-sequence images and clinical features.Methods We retrospectively analyzed the MRI images and clinical data of 388 glioma patients and extracted the radiomics features from the peritumoral edema zone,tumor core,and whole tumor on T1,T2,and T1-weighted contrast-enhanced(T1CE)and fluid attenuated inversion recovery(FLAIR)sequences.The cases were divided into a training set(271 cases)and a test set(117 cases).Random survival forest algorithms were used to select the radiomics features associated with overall survival(OS)in the training set to construct a radiomic score(Rad-score),based on which the patients were classified into high-and low-risk groups for Kaplan-Meier survival analysis.Cox proportional hazard regression models for the 3 different tumor zones were constructed,and their performance for predicting 1-and 3-year survival rates was evaluated using 5-fold cross-validation and AUC analysis followed by external validation using data from another 10 glioma patients.The best-performing model was used for constructing a nomogram for survival predictions.Results Five radiomics features from the tumor core,7 from the peritumoral edema zone,and 5 from the whole tumor were selected.In both the training and test sets,the high-and low-risk groups had significantly different OS(P<0.05),and age,IDH status and Rad-score were independent factors affecting OS.The combined model showed better performance than the Rad-score model with AUCs for 1-year and 3-year survival prediction of 0.750 and 0.778 in the training set,0.764 and 0.800 in the test set,and 0.938 and 0.917 in external validation,respectively.Conclusion The predictive model combining preoperative multi-modal MRI radiomics features and clinical features can effectively predict survival outcomes of glioma patients.

Corilagin is one of major bioactive compounds in many Chinese medical plants,which has been demonstrated to exhibit multiple pharmacological activities.Hepatoprotective effects of corilagin have been reported in some liver diseases,such as hepatitis,liver fibrosis and hepatic carcinoma.Therefore,corilagin has shown broad prospects in treatment of liver diseases.However,problems exposed in application process prompted researchers to further explore potential role of corilagin.Research progress of the role and mechanism of corilagin in hepatitis,liver fibrosis and hepatic carcinoma are summarized to provide reference for subsequent studies.

Objective:To explore the posttraumatic growth of first stroke patients and analyze its dynamic development trajectory.Methods:From January to December 2022, 180 stroke patients admitted to Xinxiang Central Hospital were selected as research subjects by convenience sampling. The Posttraumatic Growth Inventory (PTGI) score was dynamically evaluated at the end of the first month (M 1), second month (M 2), third month (M 3), fourth month (M 4), fifth month (M 5), and sixth month (M 6) of onset. The latent class growth model (LCGM) was used to analyze the developmental trajectory categories, and multiple Logistic regression was used to analyze the influencing factors of posttraumatic growth trajectory categories. Results:A total of 180 questionnaires were distributed, and 177 valid questionnaires were collected, with a valid response rate of 98.33% (177/180). Within six months, the patient's PTGI score gradually increased, with the lowest PTGI score (29.11±5.65) at M 1 and the highest proportion of low-level growth, accounting for 85.31% (151/177). At M 6, the PTGI score was (42.14±13.04), and the proportion of low-level growth was 40.68% (72/177). Two latent categories of posttraumatic growth, namely sustained low growth type and growth improvement type, were identified, with 72 cases of sustained low growth type and 105 cases of growth improvement type. Gender ( OR=2.648, P=0.008), age ( OR=1.055, P=0.002), education level ( OR=6.403, P<0.001), and stroke type ( OR=2.863, P=0.014) were the influencing factors for posttraumatic growth trajectories among stroke patients. Conclusions:Post traumatic growth in stroke patients is a dynamic state of change, with low overall levels and a common type of sustained low growth. There may be differences in the sociodemographic and disease characteristics of patients with different types of posttraumatic growth trajectories, providing reference for the development of clinical nursing strategies, but further research is still needed.

Objective:To investigate predictive value of model based on pre-surgical 18F-FDG PET/CT metabolic parameters for mediastinal lymph node metastasis (LNM) in lung adenocarcinoma. Methods:A total of 288 patients with lung adenocarcinoma (135 males, 153 females, age (61.6±8.5) years) who diagnosed and treated in the Fourth Hospital of Hebei Medical University from January 2016 to February 2021 were enrolled retrospectively. All patients underwent 18F-FDG PET/CT examination within 1 month before operation, and underwent complete resection of primary lung tumor and standard lymph node dissection. PET/CT parameters were extracted (PET metabolic parameters: minimum SUV(SUV min), SUV max, SUV mean, SUV standard deviation (SUV std), metabolic tumor volume (MTV) and total lesion glycolysis (TLG); CT parameters: minimum CT value (HU min), maximum CT value (HU max), mean CT value (HU mean), CT value standard deviation (HU std)). Multivariate logistic regression analysis was used for screening parameters and establishing model to predict LNM. ROC curves analyses were used to evaluate the predictive performance of models. Results:Among 288 patients, 90 had LNM, and 361 metastatic lymph nodes (N1: 186, N2: 175) were reported by pathology. SUV min (odds ratio ( OR)=1.859, 95% CI: 1.074-3.220, P=0.027), SUV max ( OR=2.255, 95% CI: 1.306-3.893, P=0.004), SUV mean ( OR=0.277, 95% CI: 0.115-0.665, P=0.004) were predictors of LNM. The AUC of PET/CT model was 0.849 (95% CI: 0.804-0.893), and the sensitivity, specificity, accuracy, and positive and negative predictive values were 87.8%(79/90), 72.2%(143/198), 77.1%(222/288), 59.0%(79/134) and 92.9%(143/154), respectively. Conclusion:The model based on 18F-FDG PET/CT metabolic parameters can improve the accuracy of pre-surgical N-staging in patients with lung adenocarcinoma.

Cleft lip and palate is a common congenital malformation, and its sequential treatment time is long and complicated. Many factors affect the treatment result . Operation is the main treatment for cleft palate. Its main goal is to close the abnormal defect to prevent disorders of speech development and eating, while ensuring the minimum impact on the growth of the maxilla. Cleft lip repair has been carried out for many years at home and abroad by using vomer bone flap to repair the hard palate at the same time, and a large number of research reports have been reported. This article reviews the effect of the treatment mode on the related anatomical structures of cleft lip repair with vomer bone flap repairing the hard palate, in order to explore the ideal treatment plan for cleft lip and palate.

Cleft lip and palate is a common congenital malformation, and its sequential treatment time is long and complicated. Many factors affect the treatment result . Operation is the main treatment for cleft palate. Its main goal is to close the abnormal defect to prevent disorders of speech development and eating, while ensuring the minimum impact on the growth of the maxilla. Cleft lip repair has been carried out for many years at home and abroad by using vomer bone flap to repair the hard palate at the same time, and a large number of research reports have been reported. This article reviews the effect of the treatment mode on the related anatomical structures of cleft lip repair with vomer bone flap repairing the hard palate, in order to explore the ideal treatment plan for cleft lip and palate.

Cleft lip and palate is a common congenital malformation, and its sequential treatment time is long and complicated. Many factors affect the treatment result . Operation is the main treatment for cleft palate. Its main goal is to close the abnormal defect to prevent disorders of speech development and eating, while ensuring the minimum impact on the growth of the maxilla. Cleft lip repair has been carried out for many years at home and abroad by using vomer bone flap to repair the hard palate at the same time, and a large number of research reports have been reported. This article reviews the effect of the treatment mode on the related anatomical structures of cleft lip repair with vomer bone flap repairing the hard palate, in order to explore the ideal treatment plan for cleft lip and palate.

Cleft lip and palate is a common congenital malformation, and its sequential treatment time is long and complicated. Many factors affect the treatment result . Operation is the main treatment for cleft palate. Its main goal is to close the abnormal defect to prevent disorders of speech development and eating, while ensuring the minimum impact on the growth of the maxilla. Cleft lip repair has been carried out for many years at home and abroad by using vomer bone flap to repair the hard palate at the same time, and a large number of research reports have been reported. This article reviews the effect of the treatment mode on the related anatomical structures of cleft lip repair with vomer bone flap repairing the hard palate, in order to explore the ideal treatment plan for cleft lip and palate.

Objective:To explore the clinical characteristics, chest imaging manifestations, RAPID score and therapeutic situation in patients with parapneumonic pleural effusion (PPE) caused by streptococcus anginosus group (SAG), in order to provide help for the early diagnosis and treatment in clinical practices. Methods:The clinical data of 39 patients with PPE caused by SAG from January 2015 to May 2020 in Affiliated Hospital of Jining Medical University and Jining First People′s Hospital were retrospectively analyzed. The patients were classified by RAPID score.Results:Among 39 cases, males was in 31 cases (79.5%), females in 8 cases (20.5%), and aged 46 to 89 (65.31±10.53) years old. Fever was in 27 cases (69.2%), chest pain in 19 cases (48.7%), and dyspnea in 18 cases (46.2%). The chest CT findings showed consolidation shadows was in 30 cases (76.9%), encapsulated pleural effusion in 21 cases (53.8%), ground glass shadow in 18 cases (46.2%), nodules in 12 cases (30.8%), atelectasis in 8 cases (20.5%), and pneumothorax in 5 cases (12.8%). The complexity PPE was in 23 cases (59.0%), and empyema in 16 cases (41.0%). The microbiological culture results showed that streptococcus constellatus was detected in 25 cases (64.1%), streptococcus anginosus in 13 cases (33.3%), and streptococcus intermadius in 1 case (2.6%). After comprehensive treatment, 36 cases (92.3%) were improved, 3 cases (7.7%) died. According to the RAPID score, low-risk was in 13 cases (33.3%), intermediate-risk in 16 cases (41.0%), and high-risk in 10 cases (25.7%). The RAPID score in patients with low-risk, intermediate-risk and high-risk was (1.85 ± 0.38), (3.43 ± 0.51) and (5.30 ± 0.67) scores, and there was statistical difference ( F = 124.88, P<0.05). the length of stay in patients with low-risk, intermediate-risk and high-risk of RAPID score was (16.84 ± 5.57), (16.56 ± 7.05) and (28.20 ± 17.97) d, and there was statistical difference ( F = 4.41, P<0.05); the length of stay in patients with high-risk was significantly longer than that in patients with low-risk and intermediate-risk, and there was statistical difference ( P<0.05), there was no statistical difference between intermediate-risk patients and low-risk patients ( P>0.05). Conclusions:SAG, as important pathogens for the PPE, tends to induce CPPE and even pyopneumothorax. Clinical manifestations and imaging are not specific, which should be payed attention in clinical work. The patients with high-risk of RAPID score have more serious condition and worse prognosis.