Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

Objective To explore the factors that influence major adverse cardiovascular events(MACE)in atrial fibrillation(AF)patients undergoing radiofrequency ablation(RFA),as well as to compare the prognosis of patients with advanced AF to that of the general population.Methods We prospectively recruited AF patients who underwent RFA treatment at Peking University Third Hospital between January 2021 and March 2023.General patient data were collected through the hospital's inpatient system,and MACE were tracked through outpatient visits and telephone follow-ups.Patients were categorized into three age groups:Group 1(under 65 years),Group 2(65 to 75 years),and Group 3(over 75 years).In this study,MACE was defined as include cardiovascular death,all-cause death,readmission for heart failure,acute coronary syndrome(ACS),grade 2 or higher bleeding and stroke.Results A total of 431 patients were included in this study,with an average age of(66.17±12.22)years.Among these patients,259 were male(60.09％),and the mean of CHA2DS2-VASc score was(1.79±1.30).The median follow-up period was 16.0(11.3,21.3)months,during which 28(6.50％)patients experienced MACE,with ACS and stroke being the most common events.Variables were selected using LASSO regression,and a LASSO-Cox regression model was constructed.Age(HR 1.06,95％CI 1.02-1.10,P=0.006)and hypertrophic cardiomyopathy(HR 3.70,95％CI 1.27-8.68,P=0.008)were identified as independent predictors of MACE after RFA for AF.Subgroup analysis revealed that patients under 65 had significantly better prognoses compared to older AF patients(P=0.030 compared with group 2;P=0.021 compared with group 3).Conclusions Age and hypertrophic cardiomyopathy are independent risk factors for MACE in AF patients undergoing RFA.The prognosis for younger patients is better than that for older patients,while the prognosis for advanced patients is comparable to that of patients aged 65-75 years.

Objective To evaluate the efficacy of loose-leaf textbooks in nursing risk education for nursing interns.Methods A random number table was used to divide 120 nursing interns in the geriatric oncology department into intervention and control groups,with 60 in each group.The control group received standard clinical nursing instruction,while the intervention group was taught using loose-leaf teaching materials in addition to standard clinical instruction.Occupational risk cognition,pa-tient safety perception,theoretical scores,clinical skills scores,and teaching satisfaction were compared between the two groups.Results The intervention group showed significantly higher scores in occupational risk cognition,patient safety perception,theo-retical achievement,clinical skills achievement,and teaching satisfaction compared to the control group(P＜0.05).Conclu-sion Loose-leaf textbooks enhance nursing interns' learning of occupational risks,improve patient safety perception,boost theo-retical and clinical skills performance,and increase teaching satisfaction.

Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."

Objective To evaluate the efficacy of loose-leaf textbooks in nursing risk education for nursing interns.Methods A random number table was used to divide 120 nursing interns in the geriatric oncology department into intervention and control groups,with 60 in each group.The control group received standard clinical nursing instruction,while the intervention group was taught using loose-leaf teaching materials in addition to standard clinical instruction.Occupational risk cognition,pa-tient safety perception,theoretical scores,clinical skills scores,and teaching satisfaction were compared between the two groups.Results The intervention group showed significantly higher scores in occupational risk cognition,patient safety perception,theo-retical achievement,clinical skills achievement,and teaching satisfaction compared to the control group(P＜0.05).Conclu-sion Loose-leaf textbooks enhance nursing interns' learning of occupational risks,improve patient safety perception,boost theo-retical and clinical skills performance,and increase teaching satisfaction.

Objective To analyze the characteristics of colorectal adenoma onset,traditional Chinese medicine(TCM)syndromes,and factors influencing advanced colorectal adenoma.Methods A cross-sectional study was conducted to retrospectively analyze the data of 480 patients with colorectal adenoma admitted to the Department of Gastroenterology of Wangjing Hospital,China Academy of Chinese Medical Sciences,between January 2024 and January 2025 who met the inclusion and exclusion criteria.The hospital case system was used to collect demographic information,basic medical history,general conditions associated with colorectal adenoma,and records of TCM syndrome types,which were compiled into a clinical information Excel spreadsheet.Descriptive statistics were calculated to determine the distribution of demographic information,basic medical history,and TCM syndrome types.The chi-square test or Monte Carlo simulation method was used to analyze the differences in the number,size,pathological type and location of colorectal adenomas,as well as the distribution of TCM syndrome types.Univariate chi-square test was used to analyze the related factors of patients with advanced colorectal adenoma,and the statistically significant variables were included in the multivariate logistic regression analysis to analyze the influencing factors of advanced colorectal adenoma.Results Among the 480 patients with colorectal adenoma,296 were male with an onset age of(60.51±11.17)years,and 184 were female with age of(61.65±11.87)years.There were 233 patients(46.46％)aged 45 to 64.There were 269 cases(56.04％)of overweight individuals.Adenomas smaller than 1 cm accounted for 73.33％(352/480).Among the number of adenomas,single adenomas accounted for 66.46％(319/480).Among the pathological types,tubular adenoma accounted for 86.67％(416/480).The left colon accounted for 80.0％(384/480)of the affected sites.The main clinical manifestations included abdominal distension(20.63％,99/480),abdominal pain(16.25％,78/480),diarrhea(9.79％,47/480),among others.The main syndrome types in traditional Chinese medicine are damp-heat syndrome of the large intestine(25.83％,124/480)and spleen deficiency with excessive dampness syndrome(22.94％,110/480).There was a statistically significant difference in the distribution of TCM syndrome types among patients of different age groups(P=0.010).Multitype adenoma(OR=4.504,95％CI:2.819～7.198,P<0.001)and the right colon site(OR=2.166,95％CI:1.146～4.092,P<0.05)are independent risk factors for advanced colorectal adenoma.Conclusion Colorectal adenomas are more common in men and tend to occur in middle-aged people.Adenomas under 1 cm are the most common.Single adenomas and tubular adenomas are more common.The left half of the colon is a common site of occurrence.Common clinical symptoms include abdominal distension,abdominal pain,diarrhea,etc.Damp-heat syndrome of the large intestine is the most common type of syndrome in traditional Chinese medicine.The number of multiple adenomas and the location of the right colon are independent risk factors for advanced colorectal adenomas.

This article highlights the limitations of traditional treatment methods for non-muscle-invasive bladder cancer and the multi-dimensional exploration of emerging strategies.It firsty reviews the history and challenges of BCG immunotherapy,pointing out its bottlenecks in efficacy,tolerance,and supply,and focuses on its chemicobiological modifications,such as the optimization of nanoparticle drug delivery systems and immune-active components.Subsequently,it summarizes the development of various new treatment approaches,including gene therapy,photodynamic/sonodynamic therapy,chemodynamic therapy,and proteolysis-targeting chimeras for targeted protein degradation strategies.It particularly emphasizes the enhancement of drug delivery efficiency and targeting in the bladder through nanotechnology,aptamer-mediated systems,and biomimetic carriers.The treatment of bladder cancer is gradually transforming from local and single-mode to precise,synergistic,and low-toxicity directions,with chemicobiological means playing a core role in driving this transformation.Interdisciplinary integration provides a broad space and new hope for the treatment of bladder cancer.

Objective:The relationship between benign prostatic hyperplasia(BPH)and the oxidative balance score(OBS)will be discussed in this study.Methods:The clinical data on 16 dimensions of diet and 4 dimensions of lifestyle from the National Health and Nutrition Examination Survey(NHANES)from 2001 to 2008 were used to calculate OBS.We considered BPH as the out-come and investigated the linear and nonlinear relationships between the two.Additionally,subgroup analyses and interaction tests were conducted as well.Furthermore,the methods of machine learning including XGBoost,support vector machine(SVM)and naive Bayes(NB)were used to establish a predictive model for BPH.Results:Higher OBS was consistently associated with an increased preva-lence of BPH,with Restricted Cubic Splines highlighting a significant positive nonlinear association(P=0.015).Subgroup analyses revealed differences and interactive relationships based on alcohol consumption.Among the seven machine learning models that we in-cluded the OBS score in,the XGBoost model emerged as the best,with an AUC value of 0.769.Conclusion:There is a significant association between OBS and the prevalence of BPH in the American population,which provides a valuable insight for further diagnosis and research of the disease.

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.