Objective: To evaluate the feasibility and effectiveness of dual fluorescence laparoscopy in the localization of ureteral stricture and its blood supply，and to provide a new idea for the treatment of complex ureteral stenosis，thus helping doctors to improve the efficiency of ureteral reconstruction surgery. Methods: Our team developed a dual fluorescence laparoscopic system，which could simultaneously identify the ureter stricture by intra-ureteral injection of methylene blue (MB) and assess the blood supply of the ureteral stumps by intravenous injection of indocyanine green (ICG). Results: The clinical data of 3 patients who underwent lingual mucosa ureteroplasty using dual fluorescence laparoscopy in Zhongnan Hospital of Wuhan University were retrospectively analyzed.All operations were successful，without conversion to open surgery.The operation time was 144，132 and 163 minutes，respectively.The length of harvested lingual mucosa graft was 2.0，2.8 and 3.5 cm，respectively.No intraoperative or postoperative complications occurred.Eight weeks after operation，ureterography showed that the ureter was unobstructed. Conclusion: Dual fluorescence laparoscopy is safe and feasible in the repair of complex ureteral stricture with lingual mucosa graft，which provides a new idea for complex ureteral reconstruction.

Objective: To investigate the mediating role of children s sleep quality in the association between mother-child relationship and the executive function of preschool children, providing a reference for promoting the development of the executive function of preschool children. Methods: A stratified cluster sampling method was used to select 842 preschoolers from 12 kindergartens in Wuhu City, Anhui Province in December 2021 as the subjects of the first follow up study with follow up every six months thereafter. Finally, 746 children were included in the study after 3 follow up. Spearman correlation analysis was used to explore the associations among mother-child relationship, sleep quality and executive function in preschool children. Bootstrap program and PROCESS software were applied to test the mediating effect of sleep quality in the association between mother-child relationship and the executive function of preschool children. Results: Conflictual mother-child relationship was positively correlated with the total score of executive function, as well as scores of inhibitory, shifting, emotional control, working memory, and organizational planning ( r=0.40, 0.37, 0.36, 0.41, 0.38 , 0.34, all P <0.05). Dependent mother-child relationship was positively correlated with the total score of executive function, as well as scores of inhibitory, shifting, emotional control, working memory , and organizational planning ( r=0.23, 0.20, 0.21, 0.22 , 0.22, 0.19, all P <0.05). Sleep quality was positively correlated with the total executive function score ( r=0.27, P <0.01). After adjusting for confounding factors, sleep quality played a partial mediating role in the associations between dependent and conflictual mother-child relationships and executive function, the mediating effects were 19.40% and 11.22% respectively. Conclusions Sleep quality plays a mediating role in the association between mother-child relationship and the executive function of preschool children. Improving sleep quality in the early stage can promote the executive function of preschool children.

Objective: To explore the effects of parenting style on emotional and behavioral problems (EBPs) of preschool children and to provide theoretical reference for promoting children s physical and mental health. Methods: In October-November 2021, a stratified cluster random sampling method was adopted to select 3 575 preschool children aged 3-6 years from 12 kindergartens in Hefei. Data on parenting styles and children s EBPs were collected through electronic questionnaires. Binary Logistic regression model was used to explore the effects of parenting styles on children s EBPs. Results: The detection rates of emotional symptoms, conduct problems, hyperactivity, peer interaction problems, and prosocial behavior problems were 15.5% ( n =554), 23.2% ( n =830), 22.4% ( n =802), 38.2% ( n =1 367), and 29.5% ( n =1 055) in preschool children, respectively. Binary Logistic regression analysis showed that after adjusting for covariates such as child s age, sex, and preterm birth, a high authoritative parenting style reduced the risk of EBPs in children ( OR =0.29-0.78), while a high authoritarian ( OR =1.36-2.15) and high permissive ( OR =1.36-1.68) parenting style in mothers increased the risk of EBPs in children (all P <0.05). Further stratified analysis indicated that among children with fathers exhibiting high authoritative, high authoritarian, or high permissive parenting styles, a high authoritative parenting style in mothers reduced the risk of peer interaction problems and prosocial behavior problems ( OR =0.51, 0.30 ; 0.44, 0.23; 0.51, 0.29, all P <0.05). Among children with fathers exhibiting a high authoritative parenting style, a high authoritarian parenting style in mothers increased the risk of emotional problems ( OR =2.59), and both high authoritarian and high permissive parenting styles in mothers increased the risk of conduct problems ( OR =3.25, 2.09) and hyperactivity problems ( OR =2.35, 2.87) (all P <0.05). Among children with fathers exhibiting high authoritarian or high permissive parenting styles, a high authoritarian parenting style in mothers increased the risk of EBPs ( OR =1.65-2.71, 1.62-2.52, all P <0.05). Conclusion Parenting style is an important factor affecting EBPs of preschool children, and appropriate parenting style is beneficial for children s psychological development.

Objective: To analyze the association of mother-child interaction and screen exposure of preschool children with psychological and behavioural problems, so as to provide guidance for promoting the psychological development of preschool children. Methods: From November to December 2024, a convenience cluster sampling method was used to survey 2 977 mothers of preschool children in Daguan and Yingjiang districts of Anqing City. The Chinese Parent-Child Interaction Scale (CPCIS) was applied to evaluate the quality of mother-child interaction, and the Conners Parent Symptom Questionnaire (PSQ) was used to assess the psychological and behavioral problems of preschool children. Binary Logistic regression was applied to analyze the association of mother-child interaction, screen exposure and their combined effect on psychological and behavioral problems among preschool children. Results: The detection rate of psychological and behavioral problems among preschool children was 13.9%. Binary Logistic regression results showed that low scores of mother-child interaction ( OR=2.31, 95%CI =1.72-3.11) and high screen exposure ( OR= 1.52 , 95%CI =1.23-1.88) were higher risks for psychological and behavioral problems in preschool children; the results of the combined effect showed that preschool children in low scores of mother-child interaction and low screen exposure group ( OR=2.18, 95%CI =1.46-3.28), low scores of mother-child interaction and high screen exposure group ( OR=3.13, 95%CI =2.10- 4.65 ) had significantly higher risks of abnormal detection in psychological and behavioral problems, compared to those in the high scores of mother-child interaction and low screen exposure group respectively (all P <0.05). Conclusions Both screen exposure and mother- child interaction are associated with psychological and behavioral problems in preschool children. High quality mother-child interaction can relieve the adverse effects of screen exposure on preschool children s psychological and behavioral development.

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

OBJECTIVES: To investigate the effect of Shenge powder (SGP) on myocardial fibrosis in rats with heart failure after myocardial infarction and its relation with lysyl oxidase like protein 2 (LOXL2)/transforming growth factor-β1 (TGF-β1)/IL-11 signaling pathway. METHODS: Seventy-two SPF male SD rats were divided into blank control group, model control group, SGP small dose group, SGP large dose group, positive control group, SGP large dose+LOXL2 activator group, with 12 rats in each group. Except for the blank control group, post-myocardial infarction heart failure was induced by coronary constriction. Corresponding treatments were given immediately after successful modeling, once a day for 4 weeks. Left ventricular fractional shortening (LVFS) and left ventricular ejection fraction (LVEF) in rats were detected by color Doppler ultrasound imaging. Levels of IL-1β and IL-6 in serum were analyzed by ELISA method. Myocardial collagen volume fraction (CVF) was evaluated by Masson staining. Expressions of collagen Ⅰ and α-smooth muscle actin (α-SMA) in myocardial tissue were detected by immunohistochemical staining. The mRNA expressions of matrix metalloproteinase-9 (MMP-9) and tissue inhibitor of metalloproteinase 1 (TIMP-1) in myocardial tissue were detected by qRT-PCR. Expression of LOXL2, TGF-β1, and IL-11 proteins in myocardial tissue were detected by Western blotting. RESULTS: Compared with the blank control group, the LVFS and LVEF of the model control group decreased, the levels of serum IL-6 and IL-1β elevated, and the CVF value, the expressions of collagen Ⅰ and α-SMA in myocardial tissue, MMP-9 and TIMP-1 mRNA, and LOXL2, TGF-β1, IL-11 proteins increased (all P<0.05). Compared with the model control group, the LVFS and LVEF of SGP small dose group, SGP large dose group and positive control group increased, the levels of serum IL-6 and IL-1β decreased, and the CVF value, the expressions of collagen Ⅰ and α-SMA in myocardial tissue, MMP-9 and TIMP-1 mRNA, and LOXL2, TGF-β1, IL-11 proteins decreased (all P<0.05); while LOXL2 activator reversed the improvement effect of high-dose SGP on myocardial fibrosis in heart failure rats after myocardial infarction. CONCLUSIONS Shenge powder may inhibit myocardial fibrosis in heart failure rats after myocardial infarction by inhibiting the LOXL2/TGF-β1/IL-11 pathway.
Animals ; Male ; Rats, Sprague-Dawley ; Myocardial Infarction/complications* ; Transforming Growth Factor beta1/metabolism* ; Signal Transduction/drug effects* ; Drugs, Chinese Herbal/therapeutic use* ; Rats ; Heart Failure/pathology* ; Myocardium/metabolism* ; Fibrosis ; Amino Acid Oxidoreductases/metabolism* ; Interleukin-11/metabolism* ; Tissue Inhibitor of Metalloproteinase-1/metabolism* ; Matrix Metalloproteinase 9/metabolism*

Objective To study the mechanism of the treatment of metabolism associated steatohepatitis(MASH)in rats with Xiaoyao Wan.Methods Twenty-four SD male rats were randomly divided into control group(CON group,n=8)and model group(n=8).The model group was given high-fat diet,carbon tetrachloride(CCl4)subcutaneous injection,hunger and satiety disorder and tail clamping for four weeks to establish the MASH model,and the rats were randomly divided into the MOD group and the Xiaoyao Wan group(XYW group),with 8 rats in each group.The rats of the XYW group were given Xiaoyao Wan,the other two groups were given normal saline.Four weeks after administration,the serum biochemical indexes and oxidative stress indexes of rats in different groups were detected.The pathological sections of rat liver tissue were observed by hematoxylin-eosin(HE)stai-ning and oil red O staining.The expression of cytochrome P450 2E1(CYP2E1),factor-related apoptosis ligand(FasL),tumor necrosis factor-α(TNF-α)and tumor growth factor-β1(TGF-β1)in rat liver were detected by Western blot method.The relative contents of CYP2E1,FasL,TNF-α and TGF-β1 mRNA in liver tissue were de-tected by RT-qPCR.Results The general condition of rats in the XYW group was significantly improved compared with the MOD group;the level of hepatic index was significant decrease compared with the MOD group(P＜0.01)and the level of body mass index was significant increase compared with the MOD group(P＜0.01);the serum levels of triglyceride,total cholesterol,low-density lipoprotein cholesterol,aspartate aminotransferase,alanine aminotransferase,malondialdehyde,monocyte chemotactic protein-1,TNF-α,and interleukin(IL)-18 were signif-icantly reduced compared with the MOD group(all P＜0.05),and the levels of high-density lipoprotein choles-terol,superoxide dismutase,and IL-10 were significantly elevated compared with the MOD group(all P＜0.05);the content of lipid droplets in hepatocytes of rats was significantly reduced compared with the MOD group under light microscope;the protein levels of CYP2E1,FasL,TNF-α and TGF-β1 in liver tissues were significantly re-duced compared with the MOD group(all P＜0.05),and the relative contents of CYP2E1,FasL,TNF-α and TGF-β1 mRNA were significantly reduced compared with the MOD group(all P＜0.05).Conclusion Xiaoyao Wan can regulate the expression of CYP2E1,FasL,TNF-α and TGF-β1 in the liver tissue of MASH rats by reduc-ing the accumulation of fat in the liver,so as to achieve the purpose of treating MASH.

Objective To explore and validate the application value of a deep learning model based on the Huawei Cloud ModelArts platform in the diagnosis of atypical cervical cells in liquid-based cytology(LBC)and to evaluate its assistive effect for pathologists with different diagnostic experiences.Methods We retrospectively analyzed 1 044 cervical cytology specimens from Dongguan People's Hospital in 2020.The artifical intelligence(AI)-assisted diagnostic system developed on the Huawei Cloud ModelArts platform was compared with junior,intermediate,and senior pathologists for diagnosis.Sensitivity,specificity,precision,recall,and area under the receiver operating characteristic curve(AUC)were calculated to assess the diagnostic performance of the Al system and its assistive effect for pathologists with different levels of experience.The McNemar test was used to compare the differences between the Al system and manual diagnosis.P＜0.05 was considered statistically significant.Results For the 1 044 cervical exfoliated cytology specimens,the sensitivity and specificity of the AI system in detecting atypical cells was 98.96％and 89.15％,both of which were higher than those of junior doctors(81.95％and 91.81％,respectively).The overall diagnostic accuracy of the Al system was 93.68％,which was significantly higher than that of junior doctors(87.26％,P＜0.001).Al assistance could significantly improve junior doctors'ability to detect atypical cells,with the sensitivity and specificity increasing from 80.1％to 96.5％and from 85.6％to 92.3％,respectively.Conclusion The AI-assisted cervical cytology diagnostic system developed in this study demonstrated superior performance,particularly in significantly improving the diagnostic level of junior pathologists,showing promising clinical application prospects.

OBJECTIVE To investigate the mechanism of Cichorium glandulosum in the treatment of liver fibrosis by using network pharmacology and experimental validation. METHODS A "component-target-pathway" network was constructed with the help of TCMSP, Pubchem, SwissTargetPrediction and Genecards databases, and the STRING database was used to predict the targets of Cichorium glandulosum against liver fibrosis. KEGG and GO enrichment analysis was performed in the DAVID database, and molecular docking of active ingredients and key targets was docked in AUTODOCK. PDGF-BB was used to induce activation of cells and verify the effects of six compounds, including quercetin, quercetin, chicoric acid, caffeic acid, chlorogenic acid, and isochlorogenic acid, on the proliferation, apoptosis, and liver fibrosis indicators of HSC-T6 cells. Western blotting was used to detect the expression of Ras, ERK1, ERK2, C-fos, and JNK proteins in HSC-T6 cells. RESULTS Network pharmacology screened 239 common targets between the components and liver fibrosis, PPI analysis showed that SRC, STAT3, HSP90AA1 and other targets were key targets, KEGG analysis showed that the pathways affected by Cichorium glandulosum included cancer pathways, metabolic pathways, etc. GO analysis predicted that Cichorium glandulosum mainly affected processes such as signal transduction. The molecular docking results showed that the target that could bind well with the components MAPK1, and the components that could bind well with the target aesculetin, caffeic acid and chlorogenic acid. Compared with the model group, the inhibition effect of the six compounds on PDGF-BB-induced HSC-T6 cell activation was stronger, and all 6 compounds had the effects to reverse the index of liver fibrosis, in which aesculetin had the strongest activity(P<0.01). The expression of Ras, ERK1, ERK2, C-fos, and JNK in HSC-T6 cells decreased after the interventions of 6 compounds. CONCLUSION Each component of Cichorium glandulosum has different anti liver fibrosis effects, which are related to the inhibition of ERK/RAS pathway activation.