BACKGROUND:Rapid and accurate segmentation of brain tissue in medical images is of great significance for three-dimensional biomechanical modeling and diagnosis of craniocerebral injuries.Currently,artificial intelligence(AI)-based baseline models exhibit excellent generalization capabilities on large-scale datasets.However,due to the specificity and complexity of craniocerebral tissues,these models have certain limitations in their application to craniocerebral tissue segmentation.Additionally,the scarcity of craniocerebral tissue samples makes it difficult for baseline models to achieve precise segmentation results through fine-tuning.OBJECTIVE:To construct a craniocerebral tissue segmentation model based on texture feature retrieval enhancement to improve segmentation accuracy under a small number of samples.METHODS:Segment Anything in Medical Images(MedSAM)model was selected as the basic framework,and texture features were combined with deep learning to build a brain tissue segmentation model based on texture feature retrieval enhancement(DP-MedSAM).Dice Coefficient and mean intersection over union(MIoU)were selected to evaluate the efficiency of image segmentation results.In comparison with the original MedSAM model,the ablation experiment systematically evaluated the influence of key components on the model performance.The sensitivities of MedSAM,the Segment Anything Model(SAM)for medical image segmentation(SAM-Med2D)and DP-MedSAM in the mandible,left optic nerve,and left parotid gland were compared.RESULTS AND CONCLUSION:(1)By verifying the impact of the number of point prompts on segmentation results on the HaN-Seg dataset,the experimental results indicated that the optimal Dice score was achieved with the addition of three points.(2)DP-MedSAM demonstrated performance improvements compared with MedSAM and SAM-Med2D on two datasets(HaN and Public Domain Database for Computational Anatomy).Especially on the Public Domain Database for Computational Anatomy dataset,in terms of the MIoU metric,DP-MedSAM outperformed MedSAM by 6.59％and SAM-Med2D by 37.35％;in terms of the Dice metric,DP-MedSAM outperformed MedSAM and SAM-Med2D by 4.34％and 25.32％,respectively.(3)The ablation experiment results showed that removing the texture feature extraction module in the DP-MedSAM model,relying solely on original image features,led to a significant decrease in results on the test set.Furthermore,removing the vector cache database and its retrieval enhancement function from the model,which deprived the ability of the model to perform similarity retrieval using an external knowledge base,further reduced model performance.(4)Under conditions of limited data resources,the DP-MedSAM model outperformed the other two models in all evaluation metrics.The DP-MedSAM model performed excellently when processing simple and moderately difficult samples,demonstrating a clear advantage over the other two models and indicating good generalization ability.Processing the fine structures of difficult samples placed higher demands on the model's segmentation capabilities.Although the performance of the DP-MedSAM model declined slightly,it still outperformed the other two models.(5)This study proposes an innovative craniocerebral tissue segmentation model,DP-MedSAM,which improves the baseline model's performance in capturing local details and global structural information in medical images by introducing target region texture feature extraction.Through vector similarity retrieval technology,DP-MedSAM can retrieve the feature vector most similar to the current target region from a pre-constructed vector database,providing more precise guiding information for the segmentation process.

BACKGROUND:Rapid and accurate segmentation of brain tissue in medical images is of great significance for three-dimensional biomechanical modeling and diagnosis of craniocerebral injuries.Currently,artificial intelligence(AI)-based baseline models exhibit excellent generalization capabilities on large-scale datasets.However,due to the specificity and complexity of craniocerebral tissues,these models have certain limitations in their application to craniocerebral tissue segmentation.Additionally,the scarcity of craniocerebral tissue samples makes it difficult for baseline models to achieve precise segmentation results through fine-tuning.OBJECTIVE:To construct a craniocerebral tissue segmentation model based on texture feature retrieval enhancement to improve segmentation accuracy under a small number of samples.METHODS:Segment Anything in Medical Images(MedSAM)model was selected as the basic framework,and texture features were combined with deep learning to build a brain tissue segmentation model based on texture feature retrieval enhancement(DP-MedSAM).Dice Coefficient and mean intersection over union(MIoU)were selected to evaluate the efficiency of image segmentation results.In comparison with the original MedSAM model,the ablation experiment systematically evaluated the influence of key components on the model performance.The sensitivities of MedSAM,the Segment Anything Model(SAM)for medical image segmentation(SAM-Med2D)and DP-MedSAM in the mandible,left optic nerve,and left parotid gland were compared.RESULTS AND CONCLUSION:(1)By verifying the impact of the number of point prompts on segmentation results on the HaN-Seg dataset,the experimental results indicated that the optimal Dice score was achieved with the addition of three points.(2)DP-MedSAM demonstrated performance improvements compared with MedSAM and SAM-Med2D on two datasets(HaN and Public Domain Database for Computational Anatomy).Especially on the Public Domain Database for Computational Anatomy dataset,in terms of the MIoU metric,DP-MedSAM outperformed MedSAM by 6.59％and SAM-Med2D by 37.35％;in terms of the Dice metric,DP-MedSAM outperformed MedSAM and SAM-Med2D by 4.34％and 25.32％,respectively.(3)The ablation experiment results showed that removing the texture feature extraction module in the DP-MedSAM model,relying solely on original image features,led to a significant decrease in results on the test set.Furthermore,removing the vector cache database and its retrieval enhancement function from the model,which deprived the ability of the model to perform similarity retrieval using an external knowledge base,further reduced model performance.(4)Under conditions of limited data resources,the DP-MedSAM model outperformed the other two models in all evaluation metrics.The DP-MedSAM model performed excellently when processing simple and moderately difficult samples,demonstrating a clear advantage over the other two models and indicating good generalization ability.Processing the fine structures of difficult samples placed higher demands on the model's segmentation capabilities.Although the performance of the DP-MedSAM model declined slightly,it still outperformed the other two models.(5)This study proposes an innovative craniocerebral tissue segmentation model,DP-MedSAM,which improves the baseline model's performance in capturing local details and global structural information in medical images by introducing target region texture feature extraction.Through vector similarity retrieval technology,DP-MedSAM can retrieve the feature vector most similar to the current target region from a pre-constructed vector database,providing more precise guiding information for the segmentation process.

Objective:To discuss the effect of angiotensin(1-7)[Ang(1-7)]on high-turnover bone disease in the uremic rats,and to clarify its possible mechanism.Methods:Thirty SD rats were randomly divided into sham operation group(n=6)and experimental group(n=24).The rats in experimental group underwent 5/6 nephrectomy(Platt method)+high-phosphorus(P)diet[1.2％P,1.0％calcium(Ca)]to establish the model of uremic high-turnover bone disease.The successfully modeled rats were then randomly divided into model group,Ang(1-7)group,angiotensin-converting enzyme 2(ACE2)activator dimethylacetamide amidoxime(DIZE)group,and Mas receptor antagonist group(A779 group),with 6 rats in each group.The levels of Ca,P,blood creatinine(Scr),blood urea nitrogen(BUN),and 24 h urinary protein(UP)in serum of the rats in various groups were detected by automatic biochemical analyzer at 12 and 18 weeks after operation;immunofluorescence staining was used to detect the levels of intact parathyroid hormone(iPTH)in the rats in various groups;ELISA method was used to detect the levels of osteocalcin(OC),type Ⅰ collagen N-terminal peptide(NTX),and tartrate-resistant acid phosphatase(TRAP)-5b in serum of the rats in various groups;high-resolution micro-CT scan was used to detect the bone density(BMD),tissue mineral density(TMD),trabecular thickness(Tb.Th),and trabecular separation(Tb.Sp)in femur tissue of the rats in various groups;Von Kossa staining and Giemsa staining were used to observe the pathomorphology of cortical bone and trabecular bone of the rats in various groups,and the trabecular bone volume(TBV)was calculated;fluorescence microscope was used to detect the mineral apposition rates(MAR)of the rats in vanious groups,and the osteoblast index(OBI)and osteoclast index(OCI)of the rats in various groups were calculated.Results:At 12 and 18 weeks after operation,compared with sham operation group,the weights of the rats in model group,Ang(1-7)group,DIZE group,and A779 group were decreased(P＜0.05).At 12 and 18 weeks after operation,compared with sham operation group,the levels of 24 h UP,Scr,and BUN in serum of the rats in model group,Ang(1-7)group,DIZE group,and A779 group were increased(P＜0.05);at 18 weeks after operation,compared with model group,the levels of 24 h UP and Scr in serum of the rats in Ang(1-7)group and DIZZ group were decreased(P＜0.05),and the levels of 24 h UP,Scr and BUN in serum of the rats in A779 group were increased(P＜0.05).The successful establishment of the uremic high-turnover bone disease model was confirmed.At 12 and 18 weeks after operation,compared with sham operation group,the serum iPTH,P,OC,NTX,and TRAP-5b levels ofthe rats in model group,Ang(1-7)group,DIZE group,and A779 group were all significantly increased(P＜0.05);at 18 weeks after operation,compared with model group,the serum NTX and TRAP-5b levels of the rats in Ang(1-7)group and DIZE group were decreased(P＜0.05),while the serum iPTH,P,NTX and TRAP-5b levels in A779 group were increased(P＜0.05).The high-resolution micro-CT scan results showed that compared with sham operation group,the values of femur BMD and TMD of the rats in model group,Ang(1-7)group,DIZE group,and A779 group were all significantly decreased(P＜0.05);compared with model group,the values of femur BMD and TMD of the rats in Ang(1-7)group and DIZE group were increased(P＜0.05),while the values of BMD and TMD of the rats in A779 group were decreased(P＜0.05).Compared with sham operation group,the femur Tb.Th of the rats in model group was decreased(P＜0.05),and the Tb.Sp was increased(P＜0.05);the femur Tb.Th of the rats in Ang(1-7)group and DIZE group were increased(P＜0.05),and the Tb.Sp was decreased(P＜0.05).Compared with model group,the femur Tb.Th of the rats in A779 group was decreased(P＜0.05),and the Tb.Sp was increased(P＜0.05).The bone pathological examination results showed that compared with sham operation group,the femur TBV of the rats in model group,Ang(1-7)group,DIZZ group and A779 group were decreased(P＜0.05),and MAR,OBI and OCI were increased(P＜0.05);compared with model group,the OBI and OCI of the rats in Ang(1-7)group and DIZE group were decreased(P＜0.05),and TBV was increased(P＜0.05),while the OBI and OCI of the rats in A779 group were increased(P＜0.05),and TBV was decreased(P＜0.05).Conclusion:The ACE2/Ang(1-7)/Mas axis improves high-turnover bone disease in the uremic rats.

OBJECTIVES: To investigate the chain mediating role of family care and emotional management in the relationship between social support and anxiety among rural primary school students. METHODS: A questionnaire survey was conducted among students in grades 4 to 6 from four counties in Hunan Province. Data were collected using the Social Support Rating Scale, Family Care Index Scale, Emotional Intelligence Scale, and Generalized Anxiety Disorder -7. Logistic regression analysis was used to explore the influencing factors of anxiety symptoms. Mediation analysis was conducted to assess the chain mediating effects of family care and emotional management between social support and anxiety. RESULTS: A total of 4 141 questionnaires were distributed, with 3 874 valid responses (effective response rate: 93.55%). The prevalence rate of anxiety symptoms among these students was 9.32% (95%CI: 8.40%-10.23%). Significant differences were observed in the prevalence rates of anxiety symptoms among groups with different levels of social support, family functioning, and emotional management ability (P<0.05). The total indirect effect of social support on anxiety symptoms via family care and emotional management was significant (β=-0.137, 95%CI: -0.167 to -0.109), and the direct effect of social support on anxiety symptoms remained significant (P<0.05). Family care and emotional management served as significant chain mediators in the relationship between social support and anxiety symptoms (β=-0.025,95%CI:-0.032 to -0.018), accounting for 14.5% of the total effect. CONCLUSIONS Social support can directly affect anxiety symptoms among rural primary school students and can also indirectly influence anxiety symptoms through the chain mediating effects of family care and emotional management. These findings provide scientific evidence for the prevention of anxiety in primary school students from multiple perspectives.
Humans ; Female ; Male ; Social Support ; Anxiety/etiology* ; Child ; Students/psychology* ; Emotions ; Logistic Models

OBJECTIVES: To assess the preliminary efficacy and safety of a dose-intensified C5VD regimen (cisplatin, 5-fluorouracil, vincristine, and doxorubicin) in children with locally advanced hepatoblastoma. METHODS: This prospective study enrolled 24 children with newly diagnosed, locally advanced hepatoblastoma who received the dose-intensified C5VD regimen at Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, and Shanghai Children's Hospital between January 2020 and December 2023. Clinical characteristics, treatment outcomes, and chemotherapy-related toxicities were analyzed. RESULTS: Of the 24 patients, 13 were male and 11 were female, with a median age at diagnosis of 18.7 months (range: 3.5-79.4 months). All patients achieved complete macroscopic resection of hepatic lesions without liver transplantation. Serum alpha-fetoprotein levels decreased significantly after two chemotherapy cycles. During a median follow-up of 38.4 months (range: 15.8-50.7 months), all patients maintained continuous complete remission, with 3-year event-free survival and overall survival rates of 100%. Across 144 chemotherapy cycles, the incidence rates of grade 3-4 neutropenia, thrombocytopenia, and infections were 97%, 77%, and 71%, respectively; no treatment-related deaths occurred. Notably, 5 patients (21%) developed Brock grade ≥3 hearing loss, of whom 1 required a hearing aid. CONCLUSIONS The dose-intensified C5VD regimen demonstrates significant efficacy with an overall favorable safety profile in the treatment of newly diagnosed, locally advanced pediatric hepatoblastoma. Grade 3-4 myelosuppression and infection are the predominant toxicities. However, high‑dose cisplatin-induced ototoxicity remains a concern, highlighting the need for improved otoprotective strategies.
Humans ; Hepatoblastoma/pathology* ; Male ; Female ; Infant ; Liver Neoplasms/pathology* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Child, Preschool ; Prospective Studies ; Doxorubicin/adverse effects* ; Child ; Cisplatin/adverse effects* ; Vincristine/adverse effects* ; Fluorouracil/adverse effects*

Objective:To assess the efficacy of "three-step" strategy for preparing autologous pedicled nasal mucosal flaps in repairing cerebrospinal fluid（CSF） leaks following transsphenoidal pituitary adenoma surgery. Methods:A retrospective study was conducted on the clinical data of 25 patients who developed CSF leaks after transsphenoidal pituitary adenoma surgery at the First Affiliated Hospital of Kunming Medical University between July 2012 and June 2022. Surgical repair was selected step by step using nasal septal mucosal flap with either the posterior septal artery or septal branch of the sphenopalatine artery as the pedicle, or a pedicled middle turbinate mucosal flap. All patients underwent ≥2-year endoscopic follow-up to assess flap viability and CSF leak recurrence. Results:The median postoperative hospital stay was 4 days. Five patients developed intracranial infections postoperatively. The follow-up period ranged from 2 to 12 years. Nasal endoscopic examinations showed good mucosal flap growth, with no recurrence of CSF leakage in any of the patients. Conclusion:High-flow cerebrospinal fluid（CSF） leaks following pituitary tumor surgery pose significant challenges for clinical repair. Based on intraoperative nasal septal mucosal preservation and the condition of sellar base CSF leakage, the "three-step" strategy for preparing autologous pedicled nasal mucosal flaps-utilizing posterior septal artery, ethmoidal artery-based, or pedicled middle turbinate mucosal flaps sequentially-is a safe and effective repair method.
Humans ; Retrospective Studies ; Pituitary Neoplasms/surgery* ; Surgical Flaps ; Nasal Mucosa/surgery* ; Cerebrospinal Fluid Leak/surgery* ; Adenoma/surgery* ; Postoperative Complications/surgery* ; Male ; Female ; Middle Aged ; Adult ; Aged

Radon, the only naturally occurring radioactive noble gas, is among the most common radioactive nuclides to which humans are exposed. Radon can induce various biological effects in the human body and is a risk factor for lung cancer. Circular RNAs (circRNAs) are stable, tissue-specific, and abundantly expressed in body fluids. circRNAs can regulate gene expression and play an important role in the development of cancer. In this paper, we summarized the changes in the expression and function of circRNAs, highlighting the potential mechanisms of circRNAs in radon exposure-induced cancers. Our results provided theoretical support for the use of circRNAs as a biomarker of radon exposure-induced radiation damage, and offer a theoretical basis for the early diagnosis, treatment, and prevention of radon exposure-induced diseases.

ObjectiveThis study aims to investigate the therapeutic effects of Wenweishu granule （WWSG） on functional dyspepsia （FD） with spleen-stomach deficiency cold syndrome in rats by integrating network pharmacology， molecular docking， and animal experiments. MethodsActive components and corresponding targets of WWSG were collected from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and the Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine （BATMAN-TCM）. Disease-related targets for FD with spleen-stomach deficiency cold syndrome were screened using GeneCards and the Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP）. Core therapeutic targets were identified via Cytoscape and validated by molecular docking. A rat model of FD with spleen-stomach deficiency cold syndrome was established using vinegar gavage combined with tail-clamping. The rats were randomly divided into a model group， low-， medium-， and high-dose WWSG groups （2.0， 4.0， 8.0 g·kg^-1）， a domperidone group （3.0 mg·kg^-1）， a Fuzi Lizhong pillwan （0.8 g·kg^-1）， and a normal control group （n=10 per group）. Drugs were administered once daily by gavage for 14 consecutive days. After treatment， body weight， symptom scores， and gastrointestinal motility indices were recorded. Gastric and duodenal pathologies changes were observed via hematoxylin-eosin （HE） staining. Brain-gut peptides were measured in serum and tissue using enzyme-linked immunosorbent assay （ELISA）. Immunohistochemistry and Western blot were performed to assess stem cell factor （SCF） and receptor tyrosine kinase （c-Kit） protein expression in gastric tissues. ResultsA total of 305 drug targets， 1 140 disease targets， and 116 overlapping targets were identified. Cytoscape analysis revealed 104 core targets. Enrichment analysis indicated that the SCF/c-Kit signaling pathway was the key mechanism. Molecular docking confirmed a strong binding affinity between active components of WWSG and SCF/c-Kit proteins （binding energy<-5.1 kcal·mol^-1）. Compared with the normal group， model rats exhibited slower weight gain （P<0.05）， reduced gastric emptying and intestinal propulsion （P<0.01）， mild gastric mucosal shedding， duodenal inflammatory cell infiltration， decreased levels of gastrin （GAS）， 5-hydroxytryptamine （5-HT）， and vasoactive intestinal peptide （VIP） （P<0.05， P<0.01）， and elevated somatostatin （SS） expression （P<0.05， P<0.01）. WWSG treatment ameliorated weight gain， symptom scores， and low-grade inflammation in gastric/duodenal tissues. High-dose WWSG significantly improved gastric emptying and intestinal propulsion， upregulated GAS， 5-HT， and VIP， and downregulated SS expression in serum and tissues （P<0.05， P<0.01）. Immunohistochemistry and Western blot demonstrated that SCF and c-Kit protein expression was decreased in the model group （P<0.05， P<0.01）， which was reversed by WWSG intervention （P<0.05）. ConclusionWWSG exerts therapeutic effects on FD with spleen-stomach deficiency cold syndrome in rats， potentially by regulating the SCF/c-Kit signaling pathway to enhance gastrointestinal motility.

Clinical teaching managers are the designers, implementers, and supervisors of clinical medical education. Their competence level directly affects the quality of hospital teaching management and clinical medical education. The competence evaluation systems for medical education managers in countries such as the United States and the United Kingdom are well-established, which provides a reference for the competence evaluation of clinical teaching managers in China. This research systematically reviews the construction process and current situation of the competence evaluation systems for medical education managers in the world, and summarizes the basis, methods, and dimensions of competence evaluation. According to the actual situation of clinical teaching management, suggestions were put forward, including developing systematic scientific evaluation tools, carrying out competence-oriented training and assessment, focusing on student-centered education, and creating a career path of sustainable development.