ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Social behavior is extremely important for the physical and mental health of individuals, their growth and development, and for social development. Social behavioral disorders have become a typical clinical representation of a variety of psychiatric disorders and have serious adverse effects on the development of individuals. The prefrontal cortex, as one of the key areas responsible for social behavior, involves in many advanced brain functions such as social behavior, emotion, and decision-making. The neural activity of prefrontal cortex has a major impact on the performance of social behavior. Numerous studies demonstrate that neurons and glial cells can regulate certain social behaviors by themselves or the interaction which we called neural microcircuits; and the collaboration with other brain regions also regulates different types of social behaviors. The prefrontal cortex (PFC)-thalamus projections mainly influence social dominance and social preference; the PFC-amygdala projections play a key role in fear behavior, emotional behavior, social exploration, and social identification; and the PFC-nucleus accumbens projections mainly involve social preference, social memory, social cognition, and spatial-social associative learning. Based on the above neural mechanism, many studies have focused on applying the non-invasive neurostimulation to social deficit-related symptoms, including transcranial magnetic stimulation (TMS), transcranial electrical stimulation (TES) and focused ultrasound stimulation (FUS). Our previous study also investigated that repetitive transcranial magnetic stimulation can improve the social behavior of mice and low-intensity focused ultrasound ameliorated the social avoidance behavior of mice by enhancing neuronal activity in the prefrontal cortex. In this review, we summarize the relationship between neurons, glial cells, brain projection and social behavior in the prefrontal cortex, and systematically show the role of the prefrontal cortex in the regulation of social behavior. We hope our summarization will provide a reference for the neural mechanism and effective treatment of social disorders.

Objective To explore the clinical effect of clinical observation of supplemented wendan decoction combined with Western medicine in treating insomnia accompanied by anxiety and depression in phlegm-heat internal disturbance syndrome.Methods A total of 120 cases of insomnia with anxiety and depression comorbiditis with phlegm heat disturbance syndrome were randomly divided into control group and treatment group,60 cases in each group.The control group was given escitalopram oxalate tablet combined with dexzopiclonone tablet,and the observation group was given added Wendan decoction on the basis of the control group.Both groups were treated continuously for 6 weeks.Polysomnography monitoring parameters and heart rate variability were compared between the two groups during baseline period and visit 2(baseline period+3 months).Scale scores of the two groups were compared during baseline period,visit 1(baseline period+6 weeks)and visit 2.The content of heart rate variability includes:time domain analysis(standard deviation of normal interval(SDNN),square root of the square sum of the mean of the difference between adjacent normal interval(RMSSD)and frequency domain analysis(LF,HF,LF/HF).The scale scores included the Pittsburgh Sleep Quality Index(PSQI)and Insomnia Severity Index(ISI)to assess sleep status,and the Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Self-assessment Scale for Depression(PHQ-9)and Generalized Anxiety Disorder Scale(GAD-7)to assess anxiety and depression status.Results(1)Polysomnography monitoring:the wake time of observation group was significantly shorter than that of control group,the number of awakenings was significantly less than that of control group,and the percentage of N3 and REM was significantly higher than these of control group(P＜0.05).(2)Heart rate variability:RMSSD and HF values in the observation group were significantly higher than those in the control group,and LF/HF values were significantly lower than those in the control group(P＜0.05).(3)In terms of sleep:during the interview,PSQI total score,sleep quality,hypnotic drugs and daytime dysfunction in the observation group were significantly lower than those in the control group(P＜0.05);At the 3 months,the sleep quality,hypnotic drugs and daytime dysfunction in the observation group were significantly lower than those in the control group(P＜0.05).In terms of emotion:HAMA,HAMD and GAD-7 scores were significantly lower than those of control group at 6 weeks(P＜0.05);At the 3 months,HAMA and GAD-7 scores were significantly lower than those of control group(P＜0.05).Conclusion Supplemented Wendan decoction combined with western medicine can obviously optimize the sleep structure of insomnia patients with anxiety and depressionof phlegm-heat disturbance syndrome,improve sleep continuity and deepen sleep depth,and improve parasympathetic functional activities,contribute to sympathetic parasympathetic balance,can improve insomniaand depression symptoms recently,and significantly improve anxiety symptoms in the short term,with good safety.

Objective To explore the efficacy of T-cell spot test of tuberculosis infection(T-SPOT.TB)in the differential diagnosis of spinal tuberculosis(STB),and optimize diagnostic efficacy through the optimal cut-off value of receiver operating characteristic(ROC)curve.Methods Clinical data of patients with spinal infection in a hospi-tal from January 2010 to May 2019 were collected,including preoperative T-SPOT.TB test results,white blood cell count,C-reactive protein,erythrocyte sedimentation rate,procalcitonin,and tuberculosis antibodies,etal.Clinical diagnosis was conducted based on diagnostic criteria.The sensitivity and specificity of T-SPOT.TB in preoperative diagnosis of STB and other spinal infection was analyzed,and the diagnostic efficacy of the optimized T-SPOT.TB indicators was evaluated.Results A total of 132 patients were included in this study,out of whom 78 patients(59.09％)were diagnosed with STB,and 54(40.91％)were diagnosed with non-tuberculosis(non-TB)spinal in-fection.The sensitivity and specificity of T-SPOT.TB in differential diagnosis of STB were 67.68％and 66.67％,respectively.Univariate logistic regression analysis showed that compared with non-TB spinal infection,the OR va-lue of T-SPOT.TB test in diagnosing STB was 4.188(95％CI:1.847-9.974,P＜0.001).The optimized T-SPOT.TB evaluation index through ROC curve to determine the optimal cut-off values of ESAT-6,CFP-10,and CFP-10+ESAT-6 for differential diagnosis of STB and non-TB spinal infection were 12.5,19.5,and 36,respec-tively,and area under curve(AUC)values were 0.765 6,0.741 5,and 0.778 6,respectively,all with good diag-nostic efficacy.CFP-10+ESAT-6 had the highest AUC.CFP-10+ESAT-6 specific spot count had higher efficacy in the diagnosis of STB,with a diagnostic accuracy of 75.56％,higher than 67.42％of pre-optimized T-SPOT.TB.Conclusion T-SPOT.TB test has high diagnostic efficacy in differentiating STB from non-TB spinal infection.Posi-tivity in T-SPOT.TB test,especially with spot count of CFP-10+ESAT-6 over 36,indicates a higher likelihood of STB.

The current status of exoskeletons was introduced in enhancing individual soldier's battlefield rescue capabilities,promoting the integrated use of battlefield rescue equipment,protecting medical personnel on the battlefield and assisting injured soldiers in rehabilitation training.The challenges of exoskeletons faced in human-machine interaction,power supply endurance,heavy overall structure,restricted movement and high cost were analyzed when applied to medical service support,and some suggestions were proposed accordingly including enhancing technology research and development,integrated application,communication and cooperation and personnel training.References were provided for the application of exoskeletons in China's medical service support.[Chinese Medical Equipment Journal,2024,45(3):71-75]

Pulmonary fibrosis(PF)is a chronic progressive end-stage lung disease.However,the mechanisms un-derlying the progression of this disease remain elusive.Presently,clinically employed drugs are scarce for the treatment of PF.Hence,there is an urgent need for developing novel drugs to address such diseases.Our study found for the first time that a natural source of Prismatomeris connata Y.Z.Ruan(Huang Gen,HG)ethyl acetate extract(HG-2)had a significant anti-PF effect by inhibiting the expression of the transforming growth factor beta 1/suppressor of mothers against decapentaplegic(TGF-β1/Smad)pathway.Network pharmacological analysis suggested that HG-2 had effects on tyrosine kinase phosphorylation,cellular response to reactive oxygen species,and extracellular matrix(ECM)disassembly.Moreover,mass spec-trometry imaging(MSI)was used to visualize the heterogeneous distribution of endogenous metabolites in lung tissue and reveal the anti-PF metabolic mechanism of HG-2,which was related to arginine biosyn-thesis and alanine,asparate and glutamate metabolism,the downregulation of arachidonic acid meta-bolism,and the upregulation of glycerophospholipid metabolism.In conclusion,we elaborated on the relationship between metabolite distribution and the progression of PF,constructed the regulatory metabolic network of HG-2,and discovered the multi-target therapeutic effect of HG-2,which might be conducive to the development of new drugs for PF.

Drugs under special management include narcotic drugs,psychotropic drugs,toxic drugs for medical use,radiopharmaceuticals,and pharmaceutical precursor chemicals.Supervising and guiding the clinical use of drugs under special management is one of the important responsibilities of the Pharmaceutical Management and Drug Therapy Committee(Group)of medical institutions.The standard for drugs under special management is led by the Pharmaceutical Professional Committee of the China Hospital Association,which standardizes 16 key elements of organizational management,process management,and quality control management drugs under special management in medical institutions.It can guide the standardized implementation of Pharmaceuticals under special control work in various levels and types of medical institutions.This article elaborates on the methods and contents of formulating standards for Pharmaceuticals under special management,to provide reference and inspiration for medical institutions to carry out special drug drug management and daily related work.

Objective To explore the biomarkers and potential mechanisms of chronic restraint stress-induced myocardial injury in hyperlipidemia ApoE-/-mice.Methods The hyperlipidemia combined with the chronic stress model was established by restraining the ApoE-/-mice.Proteomics and bioinformatics techniques were used to describe the characteristic molecular changes and related regulatory mechanisms of chronic stress-induced myocardial injury in hyperlipidemia mice and to explore potential diagnostic biomarkers.Results Proteomic analysis showed that there were 43 significantly up-regulated and 58 sig-nificantly down-regulated differentially expressed proteins in hyperlipidemia combined with the restraint stress group compared with the hyperlipidemia group.Among them,GBP2,TAOK3,TFR1 and UCP1 were biomarkers with great diagnostic potential.KEGG pathway enrichment analysis indicated that fer-roptosis was a significant pathway that accelerated the myocardial injury in hyperlipidemia combined with restraint stress-induced model.The mmu_circ_0001567/miR-7a/Tfr-1 and mmu_circ_0001042/miR-7a/Tfr-1 might be important circRNA-miRNA-mRNA regulatory networks related to ferroptosis in this model.Conclusion Chronic restraint stress may aggravate myocardial injury in hyperlipidemia mice via ferrop-tosis.Four potential biomarkers are selected for myocardial injury diagnosis,providing a new direction for sudden cardiac death(SCD)caused by hyperlipidemia combined with the restraint stress.

Osteonecrosis of the femoral head(ONFH)is a common orthopedic disease,and hip preservation surgery has high clinical value in the early stages of ONFH,especially for young and middle-aged patients.However,the repair of ONFH is heterogeneous,leading to inter-individual variations in the efficacy of hip preservation.Currently,the existing tissue-engineered scaffolds in the field of hip preservation are uncontrollable after implantation,making it difficult to achieve precise repair.Smart responsive materials have good biocompatibility and self-feedback capability.By combining them with therapeutic drugs to construct stimulus-responsive drug delivery systems,new possibilities are provided for the precise repair of ONFH.This paper reviews the research progress of smart responsive materials at home and abroad.Based on the response principles of various materials and the repair characteristics of ONFH,the application prospects of various smart responsive materials such as reactive oxygen species-responsive,fluid shear stress-responsive,and light/magnetic-responsive materials are discussed and prospected in the field of precise repair for ONFH,providing new ideas for the precise treatment of ONFH.

Objective:To explore the early curative effect of reverse shoulder arthroplasty in treatment of irreparable rotator cuff tear.Methods:Twenty-three patients with irreparable rotator cuff tears treated with reverse shoulder arthroplasty at Beijing Jishuitan Hospital from January 2020 to December 2022 were retrospectively analyzed, including 4 males and 19 females; age 69.3±8.6 years (range, 51-89 years), of which 8 patients were over 70 years and 15 patients were under 70 years; 5 patients were on the left side and 18 patients were on the right side; the duration of symptoms was 24 (4, 36) months; 7 patients with rotator cuff arthritis (CTA) and 16 with non-CTA. Functional scores including the American Shoulder and Elbow Surgeons (ASES), University of California Los Angeles (UCLA), simple shoulder test (SST), Constant - Murley scores, visual analogue scale (VAS) of pain, and range of motion including forward elevation, external rotation and internal rotation were collected to evaluate the postoperative efficacy of the treatment. ASES was considered as primary outcome, which was greater than 11.6 as for the minimal clinically important difference (MCID). The stratified analysis according to CTA or not and age greater than 70 years or not were performed to compare the efficacy of the two groups respectively.Results:Twenty-three patients were included with a follow-up time of 14.9±2.2 months (range, 12-19 months). The ASES, UCLA and Constant-Murley score improved from 46.6±14.8, 15.4±5.3 and 51.1±18.7 preoperatively to 87.3±4.5, 28.3±2.2 and 78.1±7.6 at the final follow-up, SST improved from 2(1, 4) preoperatively to 9(8, 10) at the final follow-up, VAS score decreased from 4(3, 5) preoperatively to 0(0, 1) at the final follow-up, and forward flexion supination improved from 77.1°±35.8° preoperatively to 125.2°±19.5° at follow-up; the difference between pre- and post-operative for all of the above metrics was statistically significant ( P<0.05). External rotation improved from 29.5°±22.2° preoperatively to 35.0°±13.5° at the final follow-up, and internal rotation improved from 5.0±3.0 points preoperatively to 5.3±2.8 points at the final follow-up, but none of the differences were statistically significant ( P>0.05). Minimal clinical important difference (100%) in postoperative improvement was achieved in all patients. CTA and non-CTA patients, although there was a significant difference between the two groups in preoperative ASES, Constant-Murley, SST, and VAS scores, the differences in each index were not statistically significant postoperatively ( P>0.05); the differences in all indexes between the two age groups, preoperatively and postoperatively, were not statistically significant ( P>0.05). Conclusion:Reverse total shoulder arthroplasty can achieve satisfactory clinical results in the early postoperative period in patients with irreparable rotator cuff tears. Although there are some preoperative functional differences, significant improvement can be achieved with reverse total shoulder arthroplasty regardless CTA or non-CTA patients. There was no significant difference in early postoperative outcomes between patients over 70 years and relatively younger patients.