[Objective] To compare the diagnostic accuracy of three imaging modalities, inlducing CT urography (CTU), contrast-enhanced MRI (CE-MRI), and contrast-enhanced ultrasound (CEUS) in the qualitative diagnosis of renal space-occupying lesions. [Methods] A retrospective analysis was performed on 542 patients with renal lesions confirmed by surgical pathology in our hospital during Jan.2019 and May 2024.The diagnostic results of CTU, CE-MRI and CEUS were compared and analyzed based on the patients' clinical and pathological data. [Results] The diagnostic accuracy rate of CTU, CE-MRI and CEUS were 84.50%, 83.14% and 86.14%, respectively.For the 161 patients who underwent all three examinations, CEUS was significantly more accurate than CTU (84.16% vs. 77.02%, P=0.018), while there was no significant difference between CTU or CEUS and CE-MRI (79.81%) (P>0.05). Further analysis found that for lesions ≤4 cm, the accuracy of the three examinations was as follows: CEUS=CTU 79.55%, CE-MRI 76.14%, with no significant difference (P>0.05). However, for lesions >4 cm, CEUS ranked the first, followed by CE-MRI and CTU (89.73% vs. 84.25% vs. 73.97%), and CEUS and CE-MRI were better than CTU (P<0.05). Additionally, for the diagnosis of clear cell renal carcinoma and benign renal space-occupying lesions, there was no statistically significant difference among the three imaging modalities (P>0.05), while for the qualitative diagnosis of non-clear cell renal carcinoma, CEUS ranked the first, followed by CE-MRI and CTU (83.87% vs. 74.19% vs. 56.45%), and CE-MRI and CEUS were better than CTU (P<0.05). [Conclusion] All of them have important diagnostic value, and the appropriate selection should be based on patients' specifc conditions.CEUS and CE-MRI are more accurate in the qualitative diagnosis of renal space-occupying lesions than CTU, especially for large lesions and non-clear cell carcinoma.

Objective:To describe the prevalence of anxiety disorders and its distribution in Inner Mongolia Autonomous Region,and to explore the relevant factors of anxiety disorders.Methods:From June 2019 to Decem-ber 2019,representative multi-stage disproportionate stratified sampling procedure was used to sample in residents aged 18 and over in the Inner Mongolia Autonomous Region.All respondents were face-to-face interviewed by trained interviewers.Composite International Diagnostic Interview-3.0(CIDI-3.0)was used to diagnose anxiety disorders according to the criteria and definition of the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ).Chi-square test and multivariate logistic regression analysis were used for statistical anal-ysis.Results:Totally 12 315 people were interviewed in the survey.The weighted 12-mouth prevalence rate of any anxiety disorder was 4.64％,and the lifetime prevalence rate was 6.25％.The weighted 12-month prevalence rate of anxiety disorders was higher in female than that in male(5.38％vs.3.92％).The rate was higher in rural resi-dents than that in urban residents(5.67％vs.3.95％).The rate was higher in people with chronic diseases than that in people without chronic diseases(6.81％vs.2.29％).Logistic regression analysis showed that unmarried(OR=2.32,95％CI:1.31-4.10),separated/divorced(OR=2.49,95％CI:1.33-4.67),in debt(OR=1.55,95％CI:1.04-2.32),chronic disease(OR=2.22,95％CI:1.39-3.53),family history of anxiety disorders(OR=12.05,95％CI:8.78-16.53),poor sleep(OR=2.64,95％CI:1.97-3.54)were risk factors of occurrence of anxiety disorders,while junior high school(OR=0.65,95％CI:0.44-0.96)was protective factor of anxiety disor-ders.Conclusion:Adults with chronic diseases,poor sleep,unmarried or separated/divorced,family history of anxi-ety disorders,and financial debt are at higher risk groups of anxiety disorder in Inner Mongolia Autonomous Re-gion.

Objective:To describe the prevalence and distributions of mood disorder in Inner Mongolia Au-tonomous Region,and analyze the related risk factors.Methods:The multistage stratified sampling method with un-equal probability was used to select permanent residents aged 18 years and over in Inner Mongolia Autonomous Re-gion.The Composite International Diagnostic Interview 3.0 was used as a diagnostic tool.Mood disorders were di-agnosed according to the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition(DSM-Ⅳ).Single and multivariate analyses were used to investigate the related factors of mood disorders.Results:Totally,12 315 community residents were interviewed in the survey.The weighted 12-month prevalence and lifetime prevalence of mood disorder were 5.4％and 8.7％,respectively.Weighted 12-month prevalence of depressive disorder was 4.9％,and that of bipolar disorder was 0.3％.Among all subtypes of mood disorder,the 12-month prevalence rate of major depressive disorder(3.1％)was the highest.Multivariate logistic regression analysis showed that female,unmarried,separated or divorced,unemployment,family history,other mental disorders,sleep disorders and chronic diseases(OR=1.56,2.80,2.07,1.42,13.46,7.97,3.23,2.13)were risk factors of mood disorder,while aged 65 years and over(OR=0.44)was protective factor of mood disorders.The lifetime consultation rate in patients with mood disorders was 15.5％,the rate of psychiatric consultation was 3.7％,the rate of medication was 1.8％.Con-clusion:It indicates that female residents and people who are unmarried,separated and divorced,unemployed,with family history,suffering from other mental disorders,suffering from sleep disorders,and suffering from chronic dis-eases may be high risk groups of mood disorders,and the utilization rate of health services is rather low in Inner Mongolia Autonomous Region.

Objective:To optimize the smart follow-up workflow for day-case breast surgery patients using an action research approach and evaluate its effectiveness.Methods:A total of 648 post-discharge patients who underwent day-case breast surgery at the Day Surgery Unit of Peking Union Medical College Hospital, Chinese Academy of Medical Sciences between February and May 2024 were selected by convenience sampling. Patients who received routine smart follow-up (automated+telephone) from February to March 2024 served as the baseline group. Patients enrolled in April 2024 ( n=218) and May 2024 ( n=202) formed the first and second cycle groups, respectively, in which the smart follow-up workflow was optimized iteratively using action research. Outcome indicators included automated recovery rate and total recovery rate of follow-up forms, as well as the incidence of postoperative discomfort symptoms. Results:The automated and total recovery rates of follow-up forms in the first and second cycle groups were significantly higher than those in the baseline group, with statistically significant differences observed ( P<0.01). The proportion of patients experiencing persistent chest distress was significantly lower in the first and second cycle groups compared to the baseline group, and further reduced in the second cycle group compared to the first, with statistically significant differences observed ( P<0.01). Pain levels in the first and second cycle groups were also significantly lower than those in the baseline group, with statistically significant differences observed ( P<0.01) . Conclusions:Optimizing the smart follow-up workflow for day-case breast surgery patients based on an action research approach can significantly improve the automated and overall recovery rates of follow-up forms, reduce postoperative discomfort, and enhance both the efficiency and quality of follow-up care.

Objective:To describe the prevalence of anxiety disorders and its distribution in Inner Mongolia Autonomous Region,and to explore the relevant factors of anxiety disorders.Methods:From June 2019 to Decem-ber 2019,representative multi-stage disproportionate stratified sampling procedure was used to sample in residents aged 18 and over in the Inner Mongolia Autonomous Region.All respondents were face-to-face interviewed by trained interviewers.Composite International Diagnostic Interview-3.0(CIDI-3.0)was used to diagnose anxiety disorders according to the criteria and definition of the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ).Chi-square test and multivariate logistic regression analysis were used for statistical anal-ysis.Results:Totally 12 315 people were interviewed in the survey.The weighted 12-mouth prevalence rate of any anxiety disorder was 4.64％,and the lifetime prevalence rate was 6.25％.The weighted 12-month prevalence rate of anxiety disorders was higher in female than that in male(5.38％vs.3.92％).The rate was higher in rural resi-dents than that in urban residents(5.67％vs.3.95％).The rate was higher in people with chronic diseases than that in people without chronic diseases(6.81％vs.2.29％).Logistic regression analysis showed that unmarried(OR=2.32,95％CI:1.31-4.10),separated/divorced(OR=2.49,95％CI:1.33-4.67),in debt(OR=1.55,95％CI:1.04-2.32),chronic disease(OR=2.22,95％CI:1.39-3.53),family history of anxiety disorders(OR=12.05,95％CI:8.78-16.53),poor sleep(OR=2.64,95％CI:1.97-3.54)were risk factors of occurrence of anxiety disorders,while junior high school(OR=0.65,95％CI:0.44-0.96)was protective factor of anxiety disor-ders.Conclusion:Adults with chronic diseases,poor sleep,unmarried or separated/divorced,family history of anxi-ety disorders,and financial debt are at higher risk groups of anxiety disorder in Inner Mongolia Autonomous Re-gion.

Objective:To describe the prevalence and distributions of mood disorder in Inner Mongolia Au-tonomous Region,and analyze the related risk factors.Methods:The multistage stratified sampling method with un-equal probability was used to select permanent residents aged 18 years and over in Inner Mongolia Autonomous Re-gion.The Composite International Diagnostic Interview 3.0 was used as a diagnostic tool.Mood disorders were di-agnosed according to the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition(DSM-Ⅳ).Single and multivariate analyses were used to investigate the related factors of mood disorders.Results:Totally,12 315 community residents were interviewed in the survey.The weighted 12-month prevalence and lifetime prevalence of mood disorder were 5.4％and 8.7％,respectively.Weighted 12-month prevalence of depressive disorder was 4.9％,and that of bipolar disorder was 0.3％.Among all subtypes of mood disorder,the 12-month prevalence rate of major depressive disorder(3.1％)was the highest.Multivariate logistic regression analysis showed that female,unmarried,separated or divorced,unemployment,family history,other mental disorders,sleep disorders and chronic diseases(OR=1.56,2.80,2.07,1.42,13.46,7.97,3.23,2.13)were risk factors of mood disorder,while aged 65 years and over(OR=0.44)was protective factor of mood disorders.The lifetime consultation rate in patients with mood disorders was 15.5％,the rate of psychiatric consultation was 3.7％,the rate of medication was 1.8％.Con-clusion:It indicates that female residents and people who are unmarried,separated and divorced,unemployed,with family history,suffering from other mental disorders,suffering from sleep disorders,and suffering from chronic dis-eases may be high risk groups of mood disorders,and the utilization rate of health services is rather low in Inner Mongolia Autonomous Region.

Objective:To optimize the smart follow-up workflow for day-case breast surgery patients using an action research approach and evaluate its effectiveness.Methods:A total of 648 post-discharge patients who underwent day-case breast surgery at the Day Surgery Unit of Peking Union Medical College Hospital, Chinese Academy of Medical Sciences between February and May 2024 were selected by convenience sampling. Patients who received routine smart follow-up (automated+telephone) from February to March 2024 served as the baseline group. Patients enrolled in April 2024 ( n=218) and May 2024 ( n=202) formed the first and second cycle groups, respectively, in which the smart follow-up workflow was optimized iteratively using action research. Outcome indicators included automated recovery rate and total recovery rate of follow-up forms, as well as the incidence of postoperative discomfort symptoms. Results:The automated and total recovery rates of follow-up forms in the first and second cycle groups were significantly higher than those in the baseline group, with statistically significant differences observed ( P<0.01). The proportion of patients experiencing persistent chest distress was significantly lower in the first and second cycle groups compared to the baseline group, and further reduced in the second cycle group compared to the first, with statistically significant differences observed ( P<0.01). Pain levels in the first and second cycle groups were also significantly lower than those in the baseline group, with statistically significant differences observed ( P<0.01) . Conclusions:Optimizing the smart follow-up workflow for day-case breast surgery patients based on an action research approach can significantly improve the automated and overall recovery rates of follow-up forms, reduce postoperative discomfort, and enhance both the efficiency and quality of follow-up care.

Objective:To study the correlation between myopia growth and physical development of primary school student in Shihezi area of Xinjiang Uyghur Autonomous Region by measuring the ocular biometry and physical parameters of the eye, and to provide an objective basis for the development of myopia prevention and control.Methods:A cross-sectional study design was used. The Grade 1-6 students from 33 schools in Shihezi area were randomly selected in October 2023. The children were classified according to age into the low age group (6-9 years) and the high age group (10-13 years).The children′s height, weight, axial length (AL), maximum keratometry (steepest keratometry, K1), and minimum keratometry (flattest keratometry, K1) were measured. The body mass index (BMI), keratometric astigmatism (ΔK), mean keratometry (K), corneal radius (CR) and AL/CR were calculated. Correlation analyses were performed between ocular biometry and physical parameters. LASSO regression analysis was used to screen the best variables, and linear regression models were constructed after adjusting for confounding factors of age and sex.Results:A total of 3 986 children aged 6-13 years were included in this study, including 2 094 boys (52.53%) and 1 892 girls (47.47%); 2 162 in the lower age group and 1 824 in the upper age group. Girls had higher K, ΔK and AL/CR values than boys (43.38 D vs 42.7 D, t=-7.84, P<0.01; 1.1 D vs 1.01 D, t=-2.14, P=0.03; 2.97 vs 2.96, t=3.32, P=0.02). Boys had higher AL, height, weight and BMI than girls (23.47 mm vs 23.02 mm, t=13.77, P<0.01; 1.34 m vs 1.33 m, t=3.02, P=0.03; 32 kg vs 29.5 kg, t=7.82, P<0.01; 17.4 vs 16.52, t=10.36, P<0.01). LASSO regression was used to screen the 3 physical parameter variables (height, weight, and BMI) to determine that height was the best physical parameter variable for AL/CR. After adjusting for confounders, it was shown that in the low age group (6-9 years), there was a significant positive correlation between children′s height and AL/CR ( b=0.174, 95% CI: 0.106 to 0.241, P<0.001), whereas in the high age group (10-13 years), there was no correlation between children′s height and AL/CR ( b=0.086, 95% CI:-0.038 to 0.21, P=0.174). Conclusion:There was a positive correlation between height and myopia growth in the lower age group of children in Shihezi area, Xinjiang Uyghur Autonomous Region; there was no correlation between height and myopia growth in the higher age group.

Objective:To describe the current situation of mental health service utilization of community pa-tients with five mental disorders in Inner Mongolia Autonomous Region and provide reference for health education and formulating relevant policies.Methods:The multistage stratified sampling method with unequal probability was used to select a total of 12 315 community residents aged 18 and over in Inner Mongolia Autonomous Region.Using Composite International Diagnostic Interview,mood disorders,anxiety disorders,substance use disorders,intermit-tent explosive disorders,and eating disorders,and health service utilization were investigated.Descriptive statistics was completed by single factor analysis method.Results:The lifetime rates of consultation and treatment of any mental disorder were 18.7％and 10.2％,respectively.The highest proportion of patients received treatment by non-medical professionals was 31.4％,followed by psychiatrists in psychiatric hospital or psychologists in general hospitals.Among the patients,1.1％of them received medication,and 2.5％received psychotherapy.Conclusion:The utilization rate of mental health services in community patients with five mental disorders is relatively low.It is necessary to conduct health education for medical help seeking properly.

Background To date,pharmacologic therapy is considered the standard first-line treatment for insomnia disorder,but there are still some concerns over the adverse reactions.Repetitive transcranial magnetic stimulation(rTMS)and cognitive behavioral therapy for insomnia(CBT-I)as an alternative to pharmacologic therapy have the advantages of fewer side effects and better patient tolerance in the treatment of chronic insomnia disorder.Objective To explore the clinical efficacy of rTMS and CBT-I on chronic insomnia disorder,so as to provide a novel therapeutic option for the treatment of chronic insomnia disorder.Methods A total of 50 patients with chronic insomnia disorder attending the outpatient clinic of Inner Mongolia Autonomous Region Mental Health Center or community hospital from September 21,2020 to December 16,2021 and fulfilling the International Classification of Sleep Disorders,third edition(ICSD-3)diagnostic criteria were enrolled.Additionally,16 age-and sex-matched healthy controls recruited from the community were set as control group.Patients were randomly divided into rTMS group and CBT-I group,25 cases in each group,and received rTMS or CBT-I intervention for 6 weeks respectively.At enrollment and completion of intervention,patients were subjected to Polysomnography(PSG),Pittsburgh Sleep Quality Index(PSQI),Insomnia Severity Index(ISI)and Repeatable Battery for the Assessment of Neuropsychological Status(RBANS).All participants underwent resting-state functional magnetic resonance imaging(rs-fMRI)scans,and amplitude of low-frequency fluctuation(ALFF)was calculated.The brain regions with statistically different ALFF values between patient group and control group were chosen as regions of interest(ROIs),and whole-brain seed-based functional connectivity analyses were conducted.Results After a 6-week intervention in the two groups,the main effect of time was significant for PSQI(F=41.160,P<0.05),ISI(F=69.615,P<0.05)and RBANS immediate memory(F=47.923,P<0.05),language(F=12.090,P<0.05)and delayed memory indices(F=28.193,P<0.05).A significant main effect of time for total sleep time(F=8.995,P<0.05),a significant main effect of time for sleep efficiency(F=12.414,P<0.05),a significant main effect of group for sleep efficiency(F=4.342,P<0.05)and a significant main effect of time for N1%(F=7.806,P<0.05)were observed.Sleep efficacy in CBT-I group improved significantly from pre-to post-test(t=-2.785,P<0.05).Patients in rTMS group showed increased functional connectivity between the orbital superior frontal gyrus and other regions including left lentiform nucleus putamen(t=4.991,P<0.05),right median cingulate and paracingulate gyri(t=4.471,P<0.05)and right postcentral gyrus(t=4.922,P<0.05),and increased functional connectivity between the orbital superior frontal gyrus and left middle frontal gyrus was found in CBT-I group(t=6.586,P<0.05).Conclusion rTMS and CBT-I may help alleviate insomnia and improve cognitive function of patients with chronic insomnia disorder.