Objective Liver cancer is the second leading cause of tumor-related death.The efficacy of local thermal ablation is comparable to surgical resection for the early hepatocellular carcinoma(HCC),and the ablation technique is minimally invasive,repeatable,and has a low complication rate.However,early recurrence((2 years)is the main cause of death after HCC ablation,but there is still a lack of accurate and reliable prediction models for early recurrence.Therefore,this survey intended to construct prediction models for early recurrence of HCC after ablation by using preoperative gadoxetic acid disodium-enhanced magnetic resonance(MR)images data combined with radiomics methods,evaluate and verify their predictive efficacy.To explore the application value of contrast-enhanced MRI imaging before ablation in the prognosis assessment of HCC patients,and to provide reliable data and theoretical basis for clinical treatment decisions.Methods A retrospective study was performed on 120 patients with HCC who underwent ablation and all the patients were underwent contrast-enhanced MRI examination within 1 month.A total of 1318 radiomic features were extracted from each patient by using preoperative T2-weighted sequence(T2WI)images of contrast-enhanced MRI.After feature selection,six machine learning algorithms would be used for construction of models and comparison.Finally,Logistic regression analysis was used to establish a clinical model,a radiomics model and a combined model which included the above risk factors and radiologic features.The nomogram was constructed based the combined model to evaluate the differentiation,accuracy and clinical benefit.Results Five radiomic features most closely related to early recurrence were identified and selected for model construction.The radiomic model had effective predictive performance,with AUC of 0.80 in the training sets.Two clinical risk factors associated with early recurrence,including tumor number and peritumoral hypodensity on the hepatobiliary phase,were selected to established a clinical-radiological-radiomics(CRRM)model,with AUC as high as 0.92 in the validation sets.The nomogram of CRRM model was constructed and the calibration curves indicated the goodness of fit.Decision curve analysis further confirmed the clinical usefulness of CRRM model.Conclusion The radiomics model of preoperatively contrast-enhanced MRI-T2WI image features was identified be effective to predict HCC early recurrence.In contrast,the CRRM model could be used as a more comprehensive and superior tool to predict individual probability of early recurrence.Patients at high risk of early recurrence could be identified and the appropriate and effective preoperative treatments could also be taken,to improve the prognosis and long-term survival rate of HCC patients the individualized treatment strategies should be formulated.

Objective This study aims to investigate the selection intention of nursing interns and their influencing fac-tors,providing a scientific basis for nursing human resource management in hospitals and departments.Methods A convenience sampling method was used to conduct a questionnaire survey A questionnaire survey was conducted concerning the selection inten-tion on departments and influencing factors of intern nurses from several tertiary hospitals affiliated to three medical universities from July 2022 to December 2023.General data investigation and self-developed scales were employed,and descriptive analysis,chi-square test and other statistical methods were used to analyze the differences in department selection and related influencing factors among nursing interns.Results Analysis of 652 valid questionnaires revealed that surgery(65.80％)and operating room(38.84％)were the most preferred departments for nursing interns.The primary influencing factors included the working environment and equipment of the department(54.60％),as well as its cohesion and cultural atmosphere(51.53％).Pediat-rics(51.23％)and infectious medicine(48.77％)were found to be less favored by nursing interns.Their main concerns re-volved around work-related risks and population characteristics of patients(67.02％),along with work pressure and labor intensi-ty(65.49％).Epidemic factors have an impact on the attitudes and expectations of nursing interns towards their future practice(P＜0.01).Conclusion The choice of departments by nursing interns is influenced by various environmental,societal and personal factors;primarily based on departmental environment quality and team culture atmosphere considerations.During the in-ternship,nursing interns require more professional education guidance from both hospital administration and individual depart-ments in order to make informed career choices and plans.

Objective This study aims to investigate the selection intention of nursing interns and their influencing fac-tors,providing a scientific basis for nursing human resource management in hospitals and departments.Methods A convenience sampling method was used to conduct a questionnaire survey A questionnaire survey was conducted concerning the selection inten-tion on departments and influencing factors of intern nurses from several tertiary hospitals affiliated to three medical universities from July 2022 to December 2023.General data investigation and self-developed scales were employed,and descriptive analysis,chi-square test and other statistical methods were used to analyze the differences in department selection and related influencing factors among nursing interns.Results Analysis of 652 valid questionnaires revealed that surgery(65.80％)and operating room(38.84％)were the most preferred departments for nursing interns.The primary influencing factors included the working environment and equipment of the department(54.60％),as well as its cohesion and cultural atmosphere(51.53％).Pediat-rics(51.23％)and infectious medicine(48.77％)were found to be less favored by nursing interns.Their main concerns re-volved around work-related risks and population characteristics of patients(67.02％),along with work pressure and labor intensi-ty(65.49％).Epidemic factors have an impact on the attitudes and expectations of nursing interns towards their future practice(P＜0.01).Conclusion The choice of departments by nursing interns is influenced by various environmental,societal and personal factors;primarily based on departmental environment quality and team culture atmosphere considerations.During the in-ternship,nursing interns require more professional education guidance from both hospital administration and individual depart-ments in order to make informed career choices and plans.

OBJECTIVETo observe the changes of intestinal flora in diarrhea type irritable bowel syndrome with Pi-wei dampness-heat syndrome (IBS-PDS).

METHODSThe seven kinds of common intestinal bacteria in feces, including enteri bacillus, enterococci, saccharomycete, bifid bacteria, lactobacillus, bacteroides and peptococcus were studied in 21 patients suffered from IBS-PDS, and compared with those in 22 patients with IBS with deficiency of Pi syndrome (DPS) and 25 healthy subjects as control.

RESULTSAs compared with the healthy subjects, the levels of enteri bacillus and enterococci were significantly increased (P<0.01), the levels of bifid bacteria, Lactobacillus and Peptococcus were significantly decreased (P < 0.01), and saccharomycete and Bacteroides were insignificantly different in patients with PDS. As compared with patients with DPS, the levels of enteri bacillus, enterococci, bifid bacteria, Lactobacillus, Peptococcus and Bacteroidaceae were significantly increased except the level of saccharomycete.

CONCLUSIONThere may be alteration of intestinal flora in patients with IBS-PDS.

Adult ; Bifidobacterium ; isolation & purification ; Diagnosis, Differential ; Diarrhea ; etiology ; microbiology ; Enterobacteriaceae ; isolation & purification ; Female ; Humans ; Intestines ; microbiology ; Irritable Bowel Syndrome ; complications ; microbiology ; Lactobacillus ; isolation & purification ; Male ; Medicine, Chinese Traditional ; Middle Aged