Objective:To evaluate the performance of deep learning reconstruction (DLR) in visualizing lenticulostriate arteries (LSAs) on cerebral CT angiography (CTA).Methods:This cross-sectional study retrospectively analyzed cerebral CTA from 38 patients who underwent cerebral CTA at the Fourth Affiliated Hospital of Harbin Medical University between January and December 2023. Images were reconstructed using filtered back projection (FBP), three-dimensional adaptive iterative dose reduction (AIDR), and DLR-advanced inteuigent clear-IQ engine(AiCE) algorithms (FBP group, AIDR group, DLR-AiCE group). On axial images, the mean CT values, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus. Subjective evaluations were performed for overall vascular visualization and LSAs delineation. Comparisons of subjective and objective evaluation indexes among the 3 groups were performed using the complex measurement ANOVA, Friedman test, or χ2 test. Results:The CT, SD, SNR and CNR values at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus demonstrated statistically significance among DLR-AiCE group, AIDR group and FBP group ( P<0.001), in which, except for the difference between the FBP group and the AIDR group in the CT value of the head of the caudate nucleus and the CT value of the cerebrospinal fluid of the lateral ventricle which was not statistically significant ( P>0.05), the remaining pairwise comparisons between the groups for each site measurements were statistically significant ( P<0.001). The difference in the overall comparison of the subjective scores of the overall vessels and LSAs in the images of the DLR-AiCE group, the AIDR group, and the FBP group was statistically significant ( P<0.001), and the two-by-two comparisons showed a statistically significant difference ( P<0.001) except for the difference in the subjective scores of LSAs between the FBP group and the AIDR group. Conclusion:The DLR-AiCE algorithm significantly reduces image noise and improves image quality, enabling superior visualization of LSAs, thereby enhancing diagnostic confidence.

Objective: To explore the facilitating and hindering factors of mental health promotion activities in junior and senior high schools from teachers perspectives, as well as coping strategies, so as to provide evidence for implementing teacher led mental health promotion programs. Methods: From September 2023 to September 2024, by using purposive sampling method, 5 junior high schools, 5 regular high schools, 2 vocational high schools in four provinces and municipalities (Tianjin, Shanxi, Shandong, and Jiangxi) were selected. A total of 92 teachers (78 homeroom teachers and 14 full time or part time psychological counselors) were interviewed using semi structured focus group discussions (one session per school, totaling 12 sessions). Thematic analysis was applied to code and analyze the interview transcripts. Results: The implementation of mental health promotion activities in middle schools was influenced by three levels: teachers, schools and society. Specifically, teachers exhibited a high support low capability phenomenon (81 participants supported conducting such activities, but 71 felt lacking in professional capacity); activity effectiveness and support systems were imbalanced (42 mentioned significant effects, while 78 reported insufficient support); there was a mismatch between student demand and activity content (9 mentioned students had psychological needs, but 11 indicated existing activities failed to meet these needs); administrative support and sustainability showed disparities (14 believed sufficient administrative support existed, while 37 noted sustainability issues); parental awareness and participation remained inadequate (11 highlighted parents need for mental health knowledge, and 37 perceived insufficient understanding of psychological issues among parents). Effective strategies included enhancing teachers effectiveness, providing essential skill training, focusing on the needs of teenagers,enhancing program sustainability, and eliminating misconceptions about mental health among parents. Conclusion Mental health promotion activities in junior and senior high schools should focus on enhancing teachers skills, improving activity sustainability, reducing stigma among parents, and establishing a collaborative network for school based mental health promotion.

Objective:To analyze and explore the diagnostic value of endoscopic submucosal dissection (ESD) for primary gastrointestinal lymphoma (PGIL).Methods:A retrospective analysis was conducted on the clinical and pathological data from 37 patients with suspected PGIL and admitted to Zhongshan Hospital, Fudan University and Xiamen Hospital, Zhongshan Hospital, Fudan University between January 2021 and December 2023. The diagnostic accuracy for PGIL of initial endoscopic conventional biopsies was compared with that of ESD biopsies.Results:Among these patients, 6 were diagnosed as having primary gastrointestinal lymphoma by routine endoscopic biopsy, with a diagnostic rate of 16.22% (6/37). Of the 22 patients who underwent ESD, 20 were diagnosed as having primary gastrointestinal lymphoma, achieving a diagnostic rate of 90.91% (20/22), which was significantly higher than that of initial endoscopic routine biopsies ( χ2=31.228, P<0.05). Conclusion:ESD demonstrates significant diagnostic value for PGIL.

Objective:To evaluate the performance of deep learning reconstruction (DLR) in visualizing lenticulostriate arteries (LSAs) on cerebral CT angiography (CTA).Methods:This cross-sectional study retrospectively analyzed cerebral CTA from 38 patients who underwent cerebral CTA at the Fourth Affiliated Hospital of Harbin Medical University between January and December 2023. Images were reconstructed using filtered back projection (FBP), three-dimensional adaptive iterative dose reduction (AIDR), and DLR-advanced inteuigent clear-IQ engine(AiCE) algorithms (FBP group, AIDR group, DLR-AiCE group). On axial images, the mean CT values, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus. Subjective evaluations were performed for overall vascular visualization and LSAs delineation. Comparisons of subjective and objective evaluation indexes among the 3 groups were performed using the complex measurement ANOVA, Friedman test, or χ2 test. Results:The CT, SD, SNR and CNR values at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus demonstrated statistically significance among DLR-AiCE group, AIDR group and FBP group ( P<0.001), in which, except for the difference between the FBP group and the AIDR group in the CT value of the head of the caudate nucleus and the CT value of the cerebrospinal fluid of the lateral ventricle which was not statistically significant ( P>0.05), the remaining pairwise comparisons between the groups for each site measurements were statistically significant ( P<0.001). The difference in the overall comparison of the subjective scores of the overall vessels and LSAs in the images of the DLR-AiCE group, the AIDR group, and the FBP group was statistically significant ( P<0.001), and the two-by-two comparisons showed a statistically significant difference ( P<0.001) except for the difference in the subjective scores of LSAs between the FBP group and the AIDR group. Conclusion:The DLR-AiCE algorithm significantly reduces image noise and improves image quality, enabling superior visualization of LSAs, thereby enhancing diagnostic confidence.

Objective:To analyze and explore the diagnostic value of endoscopic submucosal dissection (ESD) for primary gastrointestinal lymphoma (PGIL).Methods:A retrospective analysis was conducted on the clinical and pathological data from 37 patients with suspected PGIL and admitted to Zhongshan Hospital, Fudan University and Xiamen Hospital, Zhongshan Hospital, Fudan University between January 2021 and December 2023. The diagnostic accuracy for PGIL of initial endoscopic conventional biopsies was compared with that of ESD biopsies.Results:Among these patients, 6 were diagnosed as having primary gastrointestinal lymphoma by routine endoscopic biopsy, with a diagnostic rate of 16.22% (6/37). Of the 22 patients who underwent ESD, 20 were diagnosed as having primary gastrointestinal lymphoma, achieving a diagnostic rate of 90.91% (20/22), which was significantly higher than that of initial endoscopic routine biopsies ( χ2=31.228, P<0.05). Conclusion:ESD demonstrates significant diagnostic value for PGIL.

Objective:To evaluate the clinical application of urine sediment score (USS) in early diagnosis, etiological differentiation, staging and prognosis of acute kidney injury (AKI), and to investigate the diagnostic efficacy of independent USS and its combination with blood urea nitrogen(Bun) serum creatinine(sCr) and uric acid(UA) in AKI.Methods:From August 23 to September 28, 2023, 9 020 morning urine samples of hospitalized patients in the First Hospital of Jilin University were detected by Sysmex UF5000.A total of 3 226 ssamples with small and round cell (SRC) > 1/μl and/or CAST>1/μl were screened for microscopic examination, and 404 cases with positive renal tubular epithelial cells and/or cast were enrolled in this study. There were 218 males and 186 females, aged 59.5 (49.0, 71.0) years. The 404 cases were divided into the USS AKI group (345 cases) and the USS non-AKI group (59 cases) according to the USS results based on the microscopic findings. According to Kidney Disease: Improving Global Outcomes (KDIGO) criteria, they were divided into KDIGO criteria AKI group (63 cases) and KDIGO criteria non-AKI group (341 cases), and the AKI group was divided into renal AKI group (33 cases) and non-renal AKI group (30 cases). According to the clinical diagnosis recorded in the medical records, they were divided into clinically diagnosed AKI group (29 cases) and clinically diagnosed non-AKI group (375 cases).The χ 2 test or Fisher exact test was used to compare USS in different AKI causes and stages. Logistic regression was used to calculate the odds ratio of renal AKI and stage 3 AKI. The area under the receiver operating characteristic curve was used to evaluate the sensitivity and specificity of USS, sCr, UA and Bun alone and in combination in the diagnosis of AKI, and the best cut-off value, sensitivity and specificity in the diagnosis of AKI were calculated. P < 0.05 was considered statistically significant. Results:The USS was used to identify the etiology of KDIGO standard AKI group,and there were significant differences in USS between renal AKI group and non-renal AKI group (χ 2=11.070, P<0.001). Compared to USS=1, the odds ratio of renal AKI was 8.125 when USS≥2 (95% CI 2.208—29.901). There was a statistically significant difference in the comparison of USS between groups in each stage of the AKI staging study based on USS (χ 2=15.724, P<0.05). Compared to USS=1, the odds ratio of stage 3 AKI was 9.714 when USS≥2 (95% CI 1.145-82.390). The AUC of independent USS in the diagnosis of AKI was 0.687 (95% CI 0.618-0.757, P<0.001), the specificity was 65.7% and the sensitivity was 61.9%. The AUC of USS combined with Bun, sCr, UA in the diagnosis of AKI was 0.794 (95% CI 0.608-0.980, P<0.05), the specificity was 82.4%, and the sensitivity was 88.9%. Conclusions:There wasan increased likelihood of renal AKI or stage 3 AKI while USS≥2,and whose combination with Bun, sCr and UA will improve the diagnostic efficiency of AKI.

Objective The present situation and hotspots of KM mouse research were visualized by CiteSpace software,which provided a reference for breaking through the bottleneck of KM mouse research and finding new ideas in China.Methods A total of 3981 articles were retrieved from CNKI and Web of Science databases from January 1,2004 to June 10,2023,of which the number of publications,countries(regions),institutions,author cooperation network,keyword co-occurrence,clustering,burst words,and cited English literature for analysis.Results The number of documents published in Chinese was decreased and the number of documents published in English was increased gradually in KM mouse research.The three countries with the most published articles were China,the United States,and Japan,where the leading research institutions were the China Agricultural University,Chinese Academy of Sciences,and Nanjing University of Chinese Medicine.The main authors at home and abroad were Liu Weihui,Li Guangwu,and Zhao Xin.The domestic research focused on the toxicology,immunology,and reproduction of KM mouse,and the foreign research focused on the cell biology and physiology of KM mouse.Conclusions KM mouse have been used and popularized in our country for more than 70 years,mainly focusing on toxicology,immunology,and reproduction.Although the use of KM mouse has led tove made allowed some achievements in experiments,certain it is necessary to solve their problems in the future,such as the standardization of population breeding,the discovery of the dominant research fields,and the further promotion of animal ethics,should be resolved.

Objective Using literature metrology,scientific literature in the field of depression models in animals was analyzed to better understand the development trends and hot topics in this field.Methods We obtained publications on depression and animal models from 2013 to 2022 from the Web of Science core set database.CiteSpace 6.1 R1(64-bit)Basic was used to analyze annual publications,countries,institutions,authors,and keywords related to this field.Results A total of 1000 articles were included in this study.From 2013 to 2022,the number of articles published increased gradually and then stabilized.In terms of the number of articles,the United States had the most published articles(256).Wegener Gregers was the most influential author in the field with 23 published articles.Conclusions The field focuses on signaling pathways and therapeutic approaches to determine the pathogenesis of depression and better treatments.This study provides a visual analysis of trends in depression research to help researchers keep up with the latest developments.

ObjectiveThis paper aims to analyze the current status of outcome indicators in randomized controlled trials （RCT） of traditional Chinese medicine （TCM） for treating chronic atrophic gastritis （CAG）， so as to provide references for constructing the core outcome set （COS） of TCM in the treatment of CAG. MethodChina National Knowledge Infrastructure （CNKI）， Wanfang， VIP， SinoMed， PubMed， Embase， and Cochrane Library databases were searched for RCTs of TCM in the treatment of CAG in the last five years. The risk of bias of included studies was evaluated， and the selection status of outcome indicators was statistically analyzed. ResultA total of 150 RCTs were included， with a sample size of 44-398 cases. 164 outcome indicators were reported， with an application frequency of 1 229 times. The outcome indicators were classified into seven indicator domains according to functional attributes， followed by physical and chemical examination （69.41%）， TCM syndrome （12.69%）， symptoms and signs （11.15%）， safety indicators （5.37%）， quality of life （0.65%）， long-term prognosis （0.65%）， and economic evaluation （0.08%）. According to the statistical analysis， there were problems in the selection of outcome indicators in RCTs of TCM for treating CAG， including various indicators， non-standard name reports， unclear primary and secondary indicators， random combination of subjective and objective indicators， neglected patient report outcome indicators， missing long-term prognosis and economic indicators， insufficient reporting of safety indicators， and inconsistent measurement tools and measurement time points. ConclusionIn the past five years， there have been many problems in the selection of outcome indicators in RCTs of TCM for treating CAG. It is necessary to actively promote the construction of the COS of TCM in the treatment of CAG and promote the high-quality development of clinical research of TCM.

Objective:To investigate the factors influencing fall risk scores in elderly individuals.Methods:A total of 4 419 individuals were randomly selected using the cluster sampling method from Beijing, Nanning(Guangxi), and Yinchuan(Ningxia).Data on demographic characteristics and fall-related incidents were gathered and analyzed for their correlation with fall risk scores.Results:The fall risk score showed significant associations with various factors, such as the history of falls within one year( β=-3.607, 95% CI: -3.881 to -3.332), care methods( β=2.442, 95% CI: 2.226 to 2.658), exercise( β=0.714, 95% CI: 0.443 to 0.986), retirement( β=-0.585, 95% CI: -0.819 to -0.351), age( β=0.173, 95% CI: 0.159 to 0.187), and use of walking aids( β=-3.737, 95% CI: -4.054 to -3.421). Conclusions:Fall risk scores in older adults are influenced by a variety of factors.Factors such as no history of falls within the past year, living independently, engaging in physical activity, and being employed may contribute to lower fall risk scores in older adults.