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.

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.

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

AIM:To investigate the therapeutic effects and potential mechanism of pachymic acid(PA)on li-popolysaccharide(LPS)-induced acute kidney injury(AKI)in mice.METHODS:(1)Genes related to AKI were screened using the DAVID database.Core genes were identified by intersecting related genes and analyzed using Cyto-scape software.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)analyses were performed through the DAVID database for the cross-targets.Molecular docking and activity assays were conducted on the primary core targets.(2)A total of 100 C57BL/6J mice were randomly divided into five groups:normal control(NC),model(LPS),solvent control(LPS+DMSO),and treatment groups(LPS+PA-10 and LPS+PA-20),with 20 mice in each group.The LPS-AKI model was established by intraperitoneal injection of 18 mg/kg LPS.The treatment groups received 10 mg/kg and 20 mg/kg PA,respectively,and the solvent control group was administered an equivalent dose of DMSO.Mice were euthanized 24 h after injection.Serum was collected for biochemical analysis,and Western blot was used to detect neutro-phil gelatinase-associated lipocalin(NGAL),kidney injury molecule-1(KIM-1),caspase-3,cleaved caspase-3,interleu-kin-1β(IL-1β),and monocyte chemoattractant protein-1(MCP-1)protein expression.RT-qPCR was employed to detect inflammatory factor mRNA levels.Molecular docking was used to simulate the optimal binding site of PA to caspase-3.En-zyme activity assays were performed to assess caspase protein activity,and renal lesions were observed via hematoxylin and eosin(HE)staining.Apoptosis was detected by TUNEL staining.RESULTS:(1)Thirty-one potential targets of PA against AKI were identified through network pharmacology.GO and KEGG enrichment analyses indicated that these tar-gets were primarily involved in immune response,inflammatory processes,apoptosis and survival,angiogenesis and hemo-dynamics,oxidative stress,and endoplasmic reticulum stress.Key targets included CASP3(caspase-3),PTGS2,BCL2,CCL2,and CYP219.(2)PA treatment improved renal function and reduced tubular epithelial injury.It significantly de-creased NGAL,KIM-1,and cleaved caspase-3 protein levels,as well as inflammatory factors TNF-α,IL-1β,and MCP-1 mRNA and protein expression.PA also reduced apoptosis of renal tubular epithelial cells.Enzyme activity assays and mo-lecular docking revealed that PA exerted its anti-apoptotic effect by directly binding to caspase-3,thereby inhibiting its ac-tivation by caspase-8.CONCLUSION:PA demonstrated a therapeutic effect in LPS-AKI,potentially through the inhibi-tion of inflammatory factor synthesis and release,as well as the inhibition of caspase-3 activation by caspase-8,reducing apoptosis in renal tubular epithelial cells.

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.

Chiropractic therapy is a therapeutic approach for regulating the spine and is widely employed in clinical practice for multiple disorders, including constipation. The theory of "bone strengthening and tendon softening" originated from Huang Di Nei Jing, holding that bones maintain normal anatomical forms and relative positional relationships, and tendons are supple and free from damage. Only when the structures and functions of both are normal can the human body sustain normal physiological activities. In accordance with this theory, clinical treatment mainly aims at adjusting the relationship between tendons and bones and restoring the balance between them to address diseases. Based on the theory of "bone strengthening and tendon softening" and taking the essence of "tendons" as the starting point, this article explored the pathogenic mechanism of outlet obstructive constipation and the clinical application of chiropractic therapy in the treatment of outlet obstructive constipation. Pathological changes of the musculotendinous meridians and abnormal spinal structures are significant pathogenic factors for outlet obstructive constipation. Therefore, in clinical practice, spinal techniques such as guided manipulation, massage, and reconstructive techniques can be used to soften muscles, correct bones, and regulate intestinal stagnation.