Objective To explore the clinical value of preoperative assessment and intraoperative frozen section pathology in screening patients suitable for testicular preservation surgery, so as to provide reference for reducing unnecessary radical orchiectomy in patients with benign testicular tumors. Methods A retrospective analysis was conducted on 121 patients who underwent surgical treatment for testicular tumors in the First Affiliated Hospital of Xi'an Jiaotong University during Jan. 2021 and Sep. 2025. Data were collected, including demographic information, preoperative imaging, serum tumor markers, surgical procedures, intraoperative frozen section, postoperative pathology, and postoperative testicular volume changes. Results Among the 121 patients, 105 underwent radical orchiectomy, with 91 malignant and 14 benign cases confirmed by postoperative pathology; 16 received testicular tumor enucleation, all confirmed as benign. Benign lesions accounted for 24.79% (30/121) of all cases. In patients undergoing tumor enucleation, intraoperative frozen section results were fully consistent with final pathological findings. Conclusion Preoperative differentiation between benign and malignant testicular tumors is crucial for selecting the appropriate surgical approach. For patients with preoperative findings suggesting benign lesions, testicular tumor enucleation combined with intraoperative frozen section can achieve precise treatment while maximizing testicular preservation.

Objective:To analyze the current situation of health-related quality of life (HRQOL) and its influencing factors among community-dwelling elderly with mild cognitive impairment (MCI) based on the health ecology model (HEM).Methods:From December 2023 to September 2024, a cross-sectional survey was conducted among 997 community-dwelling elderly in Beijing, Shandong, Chongqing and other regions. The EuroQol five-dimensional questionnaire 5 level (EQ-5D-5L), the Montreal cognitive assessment (MoCA), and the Pittsburgh sleep quality index (PSQI) were used to assess the subjects.Descriptive analysis, Mann-Whitney U test, Kruskal-Wallis test, and Tobit regression analysis were performed using Stata 18.0 software. Results:A total of 324 valid samples were finally obtained, and the health utility value of MCI elderly was 0.842(0.815, 0.951). Tobit regression analysis showed that ≥80 years old( β=-0.121, 95% CI=-0.193--0.050) in individual traits level, don't exercise( β=-0.196, 95% CI=-0.255--0.137) and poor quality of sleep ( β=-0.064, 95% CI=-0.116--0.013) in behavior characteristics level, and poor subjective economic status( β=-0.153, 95% CI=-0.261--0.045) in living and working conditions level were risk factors for the health utility value of the elderly with MCI. Drinking( β=0.096, 95% CI=0.022-0.171) in behavior characteristics level and participating in social activities( β=0.126, 95% CI=0.062-0.190) in interpersonal network level were protective factors for the health utility value of the elderly with MCI. Conclusions:The HRQOL of the community-dwelling elderly with MCI in China is low, and its influencing factors are multi-level. HEM should be combined to strengthen the intervention and management of the elderly with MCI from personal constitution to policy environment to improve their HRQOL.

Objective To propose a method for mass spectrometry imaging(MSI)super-resolution reconstruction based on a spatially multi-level and self-supervised deep learning network(SMSDL-Net),aiming to improve the resolution of mass spectrometry images.Methods SMSDL-Net firstly registered histological and mass spectrometry images using a nonlinear transformation.Then a multi-branch Vision Transformer(ViT)was utilized to extract hierarchical features of high-resolution histological images in a self-supervised manner.These features were subsequently combined with the paired low-resolution mass spectrometry data to construct a regression network,which could realize the prediction of high-resolution mass spectrometry information.To validate the performance of the proposed method,the results by the method were compared with those of the traditional bicubic interpolation(BI)methods based on interpolation processing and the deepFERE method based on convolution neural network(CNN)for super-resolution reconstruction of magnesium elemental image of metal mass spectrometry of human liver cancer samples,and the method was also applied to a mouse renal adenocarcinoma metabolite mass spectrometry imaging dataset.Results Compared with the traditional BI methods and the deepFERE multimodal method,the method proposed demonstrated the lowest root mean square error(RMSE=0.015),the highest structural similarity index measure(SSIM=0.84)and the highest R-squared value(R2=0.853)in reconstructing mass spectrometry images.The effectiveness of the method and its potential for precise tissue-specific distinction were validated using the mouse renal adenocarcinoma metabolite MSI dataset.Conclusion Compared with traditional single-modal and pixel-wise regression deep learning methods,the method proposed enhances the quality of high-resolution mass spectrometry image reconstruction and can serve as a novel method for super-resolution reconstruction in the field of mass spectrometry imaging.[Chinese Medical Equipment Journal,2025,46(4):1-8]

Mycophenolic acid (MPA), the active moiety of both mycophenolate mofetil (MMF) and enteric-coated mycophenolate sodium (EC-MPS), serves as a primary immunosuppressant for maintaining solid organ transplants. Therapeutic drug monitoring (TDM) enhances treatment outcomes through tailored approaches. This study aimed to develop an evidence-based guideline for MPA TDM, facilitating its rational application in clinical settings. The guideline plan was drawn from the Institute of Medicine and World Health Organization (WHO) guidelines. Using the Delphi method, clinical questions and outcome indicators were generated. Systematic reviews, Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence quality evaluations, expert opinions, and patient values guided evidence-based suggestions for the guideline. External reviews further refined the recommendations. The guideline for the TDM of MPA (IPGRP-2020CN099) consists of four sections and 16 recommendations encompassing target populations, monitoring strategies, dosage regimens, and influencing factors. High-risk populations, timing of TDM, area under the curve (AUC) versus trough concentration (C₀), target concentration ranges, monitoring frequency, and analytical methods are addressed. Formulation-specific recommendations, initial dosage regimens, populations with unique considerations, pharmacokinetic-informed dosing, body weight factors, pharmacogenetics, and drug‍-‍drug interactions are covered. The evidence-based guideline offers a comprehensive recommendation for solid organ transplant recipients undergoing MPA therapy, promoting standardization of MPA TDM, and enhancing treatment efficacy and safety.
Mycophenolic Acid/administration & dosage* ; Drug Monitoring/methods* ; Humans ; Organ Transplantation ; Immunosuppressive Agents/administration & dosage* ; Delphi Technique

Temporal interference (TI) is a form of stimulation that epitomizes an innovative and non-invasive approach for profound neuromodulation of the brain, a technique that has been validated in mice. Yet, the thin cranial bone structure of mice has a marginal influence on the effect of the TI technique and may not effectively showcase its effectiveness in larger animals. Based on this, we carried out TI stimulation experiments on rats. Following the TI intervention, analysis of electrophysiological data and immunofluorescence staining indicated the generation of a stimulation focus within the nucleus accumbens (depth, 8.5 mm) in rats. Our findings affirm the viability of the TI methodology in the presence of thick cranial bones, furnishing efficacious parameters for profound stimulation with TI administered under such conditions. This experiment not only sheds light on the intervention effects of TI deep in the brain but also furnishes robust evidence in support of its prospective clinical utility.
Animals ; Deep Brain Stimulation/methods* ; Nucleus Accumbens/physiology* ; Male ; Rats ; Rats, Sprague-Dawley ; Time Factors

Mesoporous carbon nanoparticles (MCNs) have received considerable attention for biomedical applications due to their unique structural features, including high specific surface area, adjustable pore size, and remarkable biocompatibility. These properties have addressed key challenges such as inefficiencies in drug loading and release, minimizing the side effects associated with conventional treatments. In this review, the classification and the research progress of MCNs are summarized firstly, the preparation and modification techniques to enhance their functionality and properties are further reviewed, the main physicochemical properties are introduced as well, highlighting their contributions to MCNs in applications. In addition, the biomedical applications of MCNs are emphasized, including tumor therapy, tumor theranostics, antibacterial, delivery of active molecules and biological detection. Finally, the prospects and challenges of clinical application based on MCNs are analyzed to provide an effective reference and lay the foundation for further research.

Objective To sort,summarize,and introduce key terms related to guideline reporting,evaluation,dissemination,implementation,and updating.Methods We systematically searched guideline de-velopment manuals and methodological literature from database inception to October 25,2024.Terms related to guideline reporting,updating,evaluation,and implementation were extracted,standardized,and finalized through a structured consensus process.Results A total of 13 guideline manuals and 32 methodological articles were included,yielding 14 core terms with standardized definitions.Conclusions This article introduces key terms such as reporting standards,external review,and research gaps across guideline development phases to promote concept application and deepen readers'understanding of guideline development.

Aim To explore the role of zinc transporter 6(SLC30A6)on the proliferation,migration and inva-sion capabilities of hepatocellular carcinoma(HCC)cell line Huh7,and to identify potential traditional Chi-nese medicine(TCM)small-molecule inhibitors targe-ting SLC30A6 from the China Natural Products Data-base(CNPD)using virtual screening techniques.Methods The expression levels,clinical characteris-ticsand prognostic value of SLC30A6 in HCC were pre-dicted based on TCGA and ICGC datasets.SLC30A6 was knocked down in Huh7 cells using lentiviral trans-fection.The effects on cell proliferation,migration,and invasion were assessed using CCK-8,EdU,wound heal-ing,and Transwell assays.The regulation of HCC cancer stem cell markers(CD44,CD133,CD90)by SLC30A6 was also examined.Based on the CNPD,a docking-based virtual screening strategy was employed,including high-throughput virtual screening,standard precision virtual screening,and high-precision virtual screening,to identify the potential drug candidates with high specificity and favorable drug-likeness.Results SLC30A6 expression was upregulated in HCC tissues.Higher SLC30A6 levels were associated with advanced pathological stages,histological grades,alpha-fetopro-tein(AFP)levels,vascular invasion,and poor progno-sis in HCC patients.SLC30A6 knockdown significantly inhibited the proliferation,migration,and invasion of Huh7 cells and reduced the levels of HCC cancer stem cell markers.Virtual screening identified six potential TCM small-molecule inhibitors.Conclusions SLC30A6 can regulate the proliferation,migrationand invasion of HCC cells.SLC30A6 may serve as a poten-tial prognostic biomarker and therapeutic target for HCC.

Objective:To analyze the current situation of health-related quality of life (HRQOL) and its influencing factors among community-dwelling elderly with mild cognitive impairment (MCI) based on the health ecology model (HEM).Methods:From December 2023 to September 2024, a cross-sectional survey was conducted among 997 community-dwelling elderly in Beijing, Shandong, Chongqing and other regions. The EuroQol five-dimensional questionnaire 5 level (EQ-5D-5L), the Montreal cognitive assessment (MoCA), and the Pittsburgh sleep quality index (PSQI) were used to assess the subjects.Descriptive analysis, Mann-Whitney U test, Kruskal-Wallis test, and Tobit regression analysis were performed using Stata 18.0 software. Results:A total of 324 valid samples were finally obtained, and the health utility value of MCI elderly was 0.842(0.815, 0.951). Tobit regression analysis showed that ≥80 years old( β=-0.121, 95% CI=-0.193--0.050) in individual traits level, don't exercise( β=-0.196, 95% CI=-0.255--0.137) and poor quality of sleep ( β=-0.064, 95% CI=-0.116--0.013) in behavior characteristics level, and poor subjective economic status( β=-0.153, 95% CI=-0.261--0.045) in living and working conditions level were risk factors for the health utility value of the elderly with MCI. Drinking( β=0.096, 95% CI=0.022-0.171) in behavior characteristics level and participating in social activities( β=0.126, 95% CI=0.062-0.190) in interpersonal network level were protective factors for the health utility value of the elderly with MCI. Conclusions:The HRQOL of the community-dwelling elderly with MCI in China is low, and its influencing factors are multi-level. HEM should be combined to strengthen the intervention and management of the elderly with MCI from personal constitution to policy environment to improve their HRQOL.