In recent years, the ongoing development of transcranial electrical stimulation (TES) and transcranial magnetic stimulation (TMS) has demonstrated significant potential in the treatment and rehabilitation of various brain diseases. In particular, the combined application of TES and TMS has shown considerable clinical value due to their potential synergistic effects. This paper first systematically reviews the mechanisms underlying TES and TMS, highlighting their respective advantages and limitations. Subsequently, the potential mechanisms of transcranial electromagnetic combined stimulation are explored, with a particular focus on three combined stimulation protocols: Repetitive TMS (rTMS) with transcranial direct current stimulation (tDCS), rTMS with transcranial alternating current stimulation (tACS), and theta burst TMS (TBS) with tACS, as well as their clinical applications in brain diseases. Finally, the paper analyzes the key challenges in transcranial electromagnetic combined stimulation research and outlines its future development directions. The aim of this paper is to provide a reference for the optimization and application of transcranial electromagnetic combined stimulation schemes in the treatment and rehabilitation of brain diseases.
Humans ; Transcranial Magnetic Stimulation/methods* ; Transcranial Direct Current Stimulation/methods* ; Brain Diseases/therapy*

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

Objective:To investigate the role of the Smad3 signaling pathway in the process of silica-induced epithelial-mesenchymal transition (EMT) .Methods:In September 2022, lung epithelial cells (BEAS-2B) were exposed to different concentrations of silica suspension (0, 50, 100, and 150 μg/ml) for 6 and 12 hours. Additionally, SIS3, a specific inhibitor of phosphorylated Smad3 (p-Smad3) , was utilized to establish the p-Smad3 inhibition model. The cells were divided into four groups: blank control gruop, silica group, SIS3 intervention group, and SIS3 +silica group. Cell morphology was observed using an inverted fluorescence microscope, while cell viability was assessed using a Cell Counting Kit-8 (CCK-8) . The mRNA and protein expression levels of E-cadherin (E-Cad) , N-cadherin (N-Cad) , Vimentin, Smad3, and p-Smad3 were analyzed by Quantitative real-time polymerase chain reaction (qRT-PCR) and Western blotting, respectively. Differences between two groups were compared using Student's t-test, and multiple group comparisons were analyzed using a one-way analysis of variance with the Student-Newman-Keuls test.Results:Compared with the blank control group, the morphology of BEAS-2B cells shifted from epithelial to mesenchymal cell-like following silica exposure, and the cell viability of BEAS-2B cells declined after exposure to 150 μg/ml silica for 6 and 12 hours. Furthermore, silica exposure led to significant reductions in mRNA and protein expression levels of the epithelial cellular marker (E-Cad) in BEAS-2B cells, accompanied by increased expressions of interstitial cellular markers (N-Cad and Vimentin) . Importantly, the level of p-Smad3/Smad3 expression levels was also elevated in silica-treated cells ( P<0.05) . Compared to the blank control group, the level of p-Smad3/Smad3 expression levels was significantty reduced. Moreover, compared to the silica group, the protein expression levels of N-Cad and Vimentin in the cell of the SIS3+silica group were significantly reduced, while the E-Cad expression was increased ( P<0.05) . Conclusion:Silica exposure can prmote the epithelial mesenchymaol transformotion process by activating smod3 signa ling pathuay, and in hibiting smad3 signa ling pathuay can effctively alleviate the occurrence of epithelial mesenchymal transformation process.

The development of breast pathology technology provides basic support for precise typing and individualized treatment of breast cancer.Precision in breast cancer diagnosis and management is evolving as a fundamental trend,with the advent of novel therapeutic agents necessitating enhanced accuracy in pathological diagnostic evaluations.The application of trastuzumab deruxtecan(T-DXd)has offered new therapies for breast cancer patients with human epidermal growth factor receptor 2(HER2)-low and HER2-ultra low status.With the refinement of the classification for HER2 expression status,as a traditional detection method,the efficacy of immunohistochemistry(IHC)has been challenged.In addition,HER2-low has poor interpretation consistency,with spatial and temporal heterogeneity,which is affected by the storage time of the blank slides.Nowadays,finding auxiliary methods that can effectively improve the testing efficiency and interpretation accuracy of IHC as well as new accessible HER2 detection methods are important exploration directions.Whether HER2-low can be considered an independent molecular type of breast cancer has become an important issue with the update of treatments and the progress of new drugs.However,the answer is no at this time due to the absence of distinct and stable biological and pathological features and the lack of specific therapeutic benefit and prognostic relevance.With the widespread adoption and advancement of genomic profiling technologies,multiple causative genetic mutations associated with breast cancer have been identified.The development and clinical application of targeted drugs have elevated genomic profiling to an increasingly pivotal role in clinical decision-making for breast cancer treatment.In recent years,multiple inhibitors targeting the phosphoinositide 3-kinase(PI3K)/protein kinase B(AKT)/mammalian target of rapamycin(mTOR)signaling pathway(PAM pathway)have demonstrated promising therapeutic efficacy in hormone receptor(HR)positive/HER2-negative breast cancer.The clinical prioritization of PIK3CA/AKT1/PTEN molecular profiling has been intensified,and the trend is to move forward the time of the initial test.Tumor tissue samples are preferred for testing,and plasma samples can be used as a necessary supplement.Samples from primary or recurrent tumors are considered to have similar testing efficacy and can be selected as appropriate.BRCA mutation is one of the common types of genetic mutations in breast cancer.While current guidelines vary in specifics regarding target populations,they universally prioritize clinical parameters including diagnostic age,family history,and treatment response to identify patients who have elevated BRCA mutation risks and may benefit from poly(ADP-ribose)polymerase(PARP)inhibitor therapy.This article summarized the latest advances and controversies in breast pathology techniques,focusing on the diagnostic criteria and methodological limitations in detecting HER2-low and HER2-ultra low breast cancers,therapeutic progress in PAM pathway-aberrant breast cancer,and the target population for detecting BRCA gene mutations.

Objective To explore the application value of CT fusion navigation technology in Stanford B-type aortic dissection endovas-cular isolation surgery.Methods Nineteen patients who underwent Stanford B-type aortic dissection endovascular isolation surgery were selected.Prior to surgery,all patients underwent chest and abdominal CT plain scan and enhanced scan,and three-dimensional vascular reconstruction was performed at the post-processing workstation;During the operation,a chest(region of interest)digital subtraction angiography(DS A)3D-CT scan was first performed as the intraoperative matching localization image.Then,a thin-layer(1.0 mm)CT enhanced tomographic image of the chest and abdomen was extracted from the picture archiving and communication system(PACS).At the same time,the DSA 3D-CT image and the thin-layer CT enhanced image were opened for overlapping regis-tration of bony landmarks.After registration,the three-dimensional vascular volume rendering(VR)image of the aorta from the thin-layer CT was fused with the DSA 3D-CT,and the positioning and release of the covered stent were guided by the newly fused multimodal real-time image.Results All 19 patients underwent guided surgery with precise positioning of the covered lesions and successful release of the covered stents,with a success rate of 100％ for the guided technique.The intraoperative placement time of the covered stent was(5.4±2.4)s,the exposure time was(12.8±3.2)min,the surgical duration was(53.9±25.3)min,the intraopera-tive contrast agent dosage was(125.8±25.3)mL,the X-ray fluoroscopy dose was(221.3±155.7)mGy,and the total X-ray exposure dose was(1 056.4±330.3)mGy.There were no serious complications during the operation,and all patients received 1-3 months of follow-up which found they all recovered well.Conclusion The use of CT and DSA fusion navigation technology in guiding the treat-ment of Stanford B-type aortic dissection with covered stents provides real-time three-dimensional fusion images for the operator,which can quickly and accurately locate and release the stent,and has certain clinical value.

Objective To investigate the clinical features of chronic hepatitis C(CHC)patients with hepatitis C virus genotype 3(HCV GT3)infection and the risk factors for disease progression.Methods A multicenter retrospective cohort study was conducted among 1 002 CHC patients from 11 clinical centers in Northwest China from December 2017 to November 2023,and according to their genotype,they were divided into GT1,GT2,GT3,and GT6 groups.Clinical features were compared between the patients with different genotypes.The one-way analysis of variance was used for comparison of normally distributed continuous data between groups,and the Scheffe test was used for further comparison between two groups.The Kruskal-Wallis H test was used for comparison of data with skewed distribution between groups;the chi-square test or Fisher test was used for comparison of categorical data between groups.The multivariate logistic regression analysis was used to explore the influencing factors for the progression of CHC to liver cirrhosis.Results In terms of the genotype,there were 427 patients with GT1 infection,242 with GT2 infection,299 with GT3 infection(210 patients with GT3a infection,87 with GT3b infection,and 2 with unclassified genotype),and 34 with GT6 infection.The patients with GT3 infection had a significantly younger age than those with GT1 infection(51.3±0.5 years vs 53.2±0.6 years,P<0.05)or GT2 infection(51.3±0.5 years vs 53.7±0.8 years,P<0.05),and for the patients with liver cirrhosis,the patients with GT3 infection had a significantly younger age than those with GT1 infection(52.1±0.5 years vs 59.4±0.9 years,P<0.001)or GT2 infection(52.1±0.5 years vs 58.1±1.1 years,P<0.001).Among the patients with GT3 infection,male patients accounted for 77.9%and the patients with liver cirrhosis accounted for 46.2%,which were significantly higher than those among the patients with GT1,GT2 or GT6 infection(all P<0.001).At baseline,the patients with GT3 infection had significantly higher levels of alanine aminotransferase(ALT)and aspartate aminotransferase(AST)than those with GT1 or GT2 infection,significantly higher aspartate aminotransferase-to-platelet ratio index(APRI)and fibrosis-4(FIB4)than those with GT1,GT2 or GT6 infection,a significantly lower platelet count(PLT)than those with GT2 or GT6 infection,a significantly higher level of alpha-fetoprotein than those with GT2 or GT6 infection,and a significantly lower level of albumin(Alb)than those with GT6 infection(all P<0.05).There were no significant differences between the patients with GT3a infection and those with GT3b infection in age,sex,the proportion of patients with liver cirrhosis,comorbidities,HCV RNA quantification,PLT,ALT,AST,alkaline phosphatase,Alb,APRI,and FIB-4(all P>0.05).The multivariate logistic regression analysis showed that PLT≤150×109/L(odds ratio[OR]=10.72,95%confidence interval[CI]:5.76-35.86,P<0.001)and Alb≤35 g/L(OR=3.74,95%CI:1.22-11.45,P=0.021)were risk factors for liver cirrhosis.Conclusion Most CHC patients with GT3 infection are male in Northwest China,and compared with the patients with other genotypes,such patients tend to have a younger age of onset and higher degrees of liver inflammation activity and fibrosis.Low PLT and a low level of Alb are risk factors for progression to liver cirrhosis in CHC patients with GT3 infection.

Early-stage treatment of malignant tumors has a significant effect on improving the prognosis. In ASCO and ESMO 2024, several important advancements have been made in the field of systemic therapy for early-stage breast cancer, particularly in the diversification of treatment plans and the individualization of strategies for different molecular subtypes of breast cancer. The importance of adjuvant endocrine therapy (AET) has been highlighted on treating hormone receptor positive/human epidermal growth factor receptor 2 negative early breast cancer.The adjuvant therapy with Cyclin-dependent kinase 4/6 inhibitor (CDK4/6i) has been proven successful in treating HR+/HER2- early breast cancer. Neoadjuvant immunotherapy targeting early triple positive breast cancer (TNBC) has shown unique advantages. The possibility of having down-grade chemotherapy safely in treating HR+/HER2+ stage breast cancer has been explored.

Objective:To develop a deep learning-based segmentation model MT-UNet to automatically segment bone metastases and benign bone lesions in bone scintigraphy with SPECT/CT.Methods:A total of 93 patients (48 males and 45 females, age 28-84 years) who underwent bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from June 2023 to December 2023 were enrolled retrospectively in this study, with a total of 184 bone lesions (94 benign lesions and 90 metastatic tumors). The MT-UNet was employed to segment bone lesions in SPECT, CT and SPECT/CT images respectively. Comparative analysis with 8 segmentation models was performed. The training set and validation set were divided by using 5-fold cross-validation and transfer learning was introduced to further enhance the robustness of the model. An additional cohort of 22 patients (15 males and 7 females, age 37-87 years) who received bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from April 2023 to May 2023 were included, comprising 40 bone lesions (22 benign lesions and 18 metastatic tumors) as the test set of MT-UNet. Segmentation performance of different models was assessed using accuracy, sensitivity, specificity, AUC, intersection over union and Dice similarity coefficient (DSC). Delong test was used to compare the segmentation efficacy among different models in the test set.Results:In the validation set, MT-UNet demonstrated DSC of 0.940, 0.962, and 0.963 for SPECT, CT, and SPECT/CT bone lesion segmentation, respectively, which were outperformed other models. Following transfer learning implementation, the SPECT/CT model′s DSC was improved to 0.984. In the test set, MT-UNet maintained comparable segmentation performance to the validation set, with significant AUC differences among the three models ( Z values: from -15.42 to -9.27, all P<0.01). Compared with conventional image interpretation, MT-UNet-based segmentation reduced physician interpretation time from 164min to 102min. Conclusion:MT-UNet has shown good performance in automatic segmentation of bone metastases and benign bone lesions, and is expected to become an important part of SPECT/CT image intelligent diagnosis system for bone metastases.

OBJECTIVE To construct a classification prediction model for vancomycin blood concentration， and to optimize its precision dosing strategies. METHODS Patient records meeting inclusion criteria were extracted from the Medical Information Mart for Intensive Care database. Following data cleaning and preprocessing， a final cohort of 9 902 patient was analyzed. Feature selection was performed through correlation analysis and the Boruta feature selection algorithm. Vancomycin blood concentrations were discretized into three categories based on clinical therapeutic windows： low （＜10 μg/mL）， intermediate （10-20 μg/mL）， and high （≥20 μg/mL）. Six machine learning algorithms were employed to construct classification models： tabular prior-data fitted network （TabPFN）， logistic regression （LR）， random forest （RF）， extreme gradient boosting （XGBoost）， support vector machine （SVM）， K-nearest neighbors （KNN）. Model performance was evaluated using 10-fold cross-validation （10-CV）， with primary metrics including： accuracy， balanced accuracy， precision macro， recall macro， macro F1， area under the receiver operating characteristic curve （OvR-AUC）. Shapley Additive Explanations （SHAP） was adopted to analyze the direction and magnitude of the impact that different features had on the model’s predictive outcomes. RESULTS The results showed that the RF and TabPFN models performed the best （with accuracy of 0.741 4 and 0.737 7， and OvR-AUC of 0.907 0 and 0.895 8， respectively）. XGBoost model exhibited moderate performance， while LR， SVM， and KNN models demonstrated relatively poor performance. Confusion matrix heatmap analysis revealed that both RF and TabPFN achieved higher accuracy in predicting high- concentration cases but exhibited slightly lower performance in the low and medium concentration categories. Bootstrap with 10-CV revealed that the RF model demonstrated stable performance across various evaluation metrics （accuracy： 0.741 4； balanced accuracy： 0.740 3； precision macro： 0.732 1； recall macro： 0.736 0； macro F1： 0.736 0； OvR-AUC： 0.907 0）， indicating good classification performance and generalization ability. SHAP analysis revealed that creatinine， urea nitrogen， daily cumulative dose and administration frequency of vancomycin， which were key predictors， had a significant impact on the prediction results. CONCLUSIONS RF and TabPFN models demonstrate certain advantages in the classification prediction of vancomycin trough blood concentrations； however， their performance in the low to moderate concentration categories still requires improvement.

Objective: To investigate the status of salt-restriction spoons use among residents in Zhejiang Province, so as to provide evidence for optimizing salt-reduction intervention strategies and preventing chronic disease. Methods: Residents aged 18-69 from five counties (cities/districts) in Zhejiang Province were selected using a multi-stage stratified random sampling method. Demographic characteristics, dietary habits, and salt-restriction spoons use were collected using questionnaires. The rate of salt-restriction spoons use and correct rate of salt-restriction spoons use were analyzed. Factors affecting salt-restriction spoons use among residents were analyzed by multivariable logistic regression model. Results: Totally 7 601 questionnaires were allocated, and 7 509 valid questionnaires were recovered, with an effective recovery rate of 98.79%. The respondents included 3 744 males (49.86%) and 3 765 females (50.14%). The mean age was (44.81±14.03) years. The rate of salt-restriction spoons use was 11.97%, the correct rate of salt-restriction spoon use was 52.73%. Multivariable logistic regression analysis showed that rural (OR=0.851, 95%CI: 0.731-0.991), education level of primary school and below (illiterate or semi-literate, OR=0.269, 95%CI: 0.172-0.420; primary school, OR=0.595, 95%CI: 0.436-0.811), and excessive dietary salt intake (OR=0.718, 95%CI: 0.559-0.922) were inhibiting factors for salt-restriction spoons use among residents; physical exercise (OR=1.581, 95%CI: 1.362-1.836) and received health education on a low-salt diet (OR=2.082, 95%CI: 1.790-2.421) were promoting factors for salt-restriction spoons use among residents. Conclusions The rate of salt-restriction spoons use among residents in Zhejiang Province was relatively low, primarily influenced by region, educational level, physical activity, dietary salt intake, and health education on a low-salt diet. It is recommended that propose a multi-component intervention strategy centered on skill enhancement and health education, delivered through progressive staged implementation, to promote sustained adoption of salt-restriction spoons among residents.