In recent years, the widespread application of chest computed tomography (CT) screening has led to a significant increase in the detection rate of pulmonary nodules. As a critical diagnostic tool for early-stage lung cancer, video-assisted thoracic surgery (VATS) has emerged as the preferred therapeutic approach for pulmonary nodules. Clinical evidence demonstrates that precise preoperative localization significantly enhances surgical success rates (reducing conversion to thoracotomy), minimizes complications, and shortens operation time. This comprehensive review systematically evaluates six cutting-edge localization techniques: percutaneous puncture-assisted localization, electromagnetic navigation bronchoscopy (ENB) localization, 3D-printed auxiliary localization, basin-analysis-based localization, robotic navigation system localization, and mixed reality (MR)-guided localization. By critically analyzing their operational principles, efficacy, safety profiles, and clinical applicability, this paper aims to provide evidence-based recommendations for optimizing clinical decision-making in pulmonary nodule management.
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Humans ; Lung Neoplasms/diagnosis* ; Solitary Pulmonary Nodule/diagnostic imaging* ; Thoracic Surgery, Video-Assisted/methods* ; Multiple Pulmonary Nodules/diagnostic imaging* ; Tomography, X-Ray Computed

Objective To evaluate the predictive value of functional liver imaging score(FLIS)based on preoperative gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)enhanced MRI for post-hepatectomy liver failure(PHLF)in patients with hepatocellular carcinoma(HCC).Methods The data of HCC patients who underwent extensive hepatectomy and preoperative Gd-EOB-DTPA enhanced MRI were analyzed retrospectively.The FLIS was scored based on the three features including liver parenchyma enhancement,biliary excretion and portal vein signal enhancement in hepatobiliary phase images,and the consistency between different observers was evaluated.Logistic regression model and receiver operating characteristic(ROC)curve were used to analyze the ability of FLIS to predict the PHLF.Results PHLF occurred in 29 of 120 HCC patients(24.2%).The intraclass correlation coefficient(ICC)of FLIS evaluated by two observers was 0.944.Multivariate logistic regression analysis showed that FLIS was an independent predictor of PHLF of HCC patients[odds ratio(OR)0.520,95%confidence interval(CI)0.355-0.726;P<0.001].The area under the curve(AUC)of FLIS for predicting the PHLF was 0.709,the optimal diagnostic threshold was 4,and the corresponding sensitivity and specificity were 78.0%and 58.6%.Conclusion Preoperative FLIS can predict the PHLF of HCC patients,which may help to make more accurate treatment plans for HCC patients.

Background Regional differences in economic development, natural environment, health care level, and social structure may lead to differences in the provincial distribution of the health status of the elderly population. Objective To explore the provincial distribution characteristics, regional differences, and influencing factors of the self-assessed health of the elderly population, with the aim of providing a policy basis for improving the health of the elderly population and promoting healthy aging according to local conditions. Methods Using 31 provinces (municipalities and autonomous regions) in China as the basicstudy unit and based on the method of Wagstaff, the self-rated health data of the elderly population (aged 60 years and above) in each province from the 2010 and 2020 national censuses and the 2015 1% National Population Sample Survey were converted into ill-health scores as a measure of self-assessed health, and higher scores represented worse health status perception. Global Moran's I was used to evaluate spatial autocorrelation, range [−1, 1], with a value of 1 as a perfect clustered pattern. Local Moran's I was used to evaluate the tendency of local autocorrelation, and high-high aggregation/low-low aggregation indicated that both target province and its neighboring provinces showed higher/lower ill-health scores. Spatial econometric models were selected by Lagrange multiplier test and Hausman test to explore influencing factors of the self-assessed health of the elderly population. Results In 2010, 2015, and 2020, the national ill-health scores of the elderly population were 1.831, 1.873, and 1.547, respectively, and the corresponding Global Moran's I statistics were 0.347, 0.482, and 0.511, respectively (P<0.01), indicating that the ill-health scores of the elderly population showed a significant spatial positive autocorrelation, and the degree of spatial aggregation was increasing gradually. From 2010 to 2020, the high-high aggregation of ill-health scores among the elderly population was concentrated in the inland northwest, while the low-low aggregation was concentrated in the southeast coast, gradually showing a "southeast-central-northwest" stepped incremental pattern of differentiation. The Lagrange multiplier test and Hausman test suggested that the fixed-effects spatial lagged model was a better choice, and the regression model showed a spatial autocorrelation in the ill-health scores of the elderly population, with an autocorrelation coefficient of 0.3969 (P<0.001); the ill-health scores of the elderly population were negatively correlated with the natural logarithms of gross regional product per capita, and the number of beds in health care facilities per 1000 population, with regression coefficients of −0.8297 and −0.0454 (P<0.05) respectively, and positively correlated with the annual average concentration of PM_2.5, illiteracy rate, and the number of health technicians per 1000 population, with regression coefficients of 0.0033, 0.0297, and 0.0765 (P<0.05), respectively. Conclusion From 2010 to 2020, the overall self-assessed health level of China's elderly population showed an upward trend and a spatial positive autocorrelation, with better self-assessed health in the southeast coast and poorer ratings in the northwestern inland. Additionally, there was a gradual decline in self-assessed health of the elderly population from the southeast to the central regions and further to the northwest in terms of spatial distribution. Economic development level, environmental pollution, health resource allocation, and education level are important factors influencing the self-assessed health of the elderly population.

ObjectiveTo establish an ultra-high performance liquid chromatography-tandem triple quadrupole mass spectrometry（UHPLC-QqQ-MS） for determination of the active ingredients in Erdongtang， and to predict the targets and pathways of anti-insulin resistance action of this formula. MethodThe analysis was performed on an ACQUITY UPLC BEH C₁₈ column（2.1 mm×100 mm， 1.7 μm） with the mobile phase of 0.1% formic acid aqueous solution（A）-acetonitrile（B） for gradient elution（0-3 min， 90%-87%A； 3-6 min， 87%-86%A； 6-9 min， 86%-83%A； 9-11 min， 83%-75%A； 11-18 min， 75%-70%A； 18-19 min， 70%-52%A； 19-22 min， 52%A； 22-25 min， 52%-5%A； 25-27 min， 5%-90%A； 27-30 min， 90%A）. The contents of active ingredients in Erdongtang was detected by electrospray ionization（ESI） and multiple reaction monitoring（MRM） mode under positive and negative ion modes. On this basis， network pharmacology was applied to predict the targets and pathways of Erdongtang exerting anti-insulin resistance effect. ResultThe 20 active ingredients in Erdongtang showed good linear relationships within a certain mass concentration range， and the precision， stability， repeatability and recovery rate were good. The results of determination showed that the ingredients with high content in 15 batches of samples were baicalein（1 259.39-1 635.78 mg·L^-1）， baicalin（1 078.37-1 411.52 mg·L^-1）， the ingredients with medium content were mangiferin（148.59-217.04 mg·L^-1）， timosaponin BⅡ（245.10-604.89 mg·L^-1）， quercetin-3-O-glucuronide（89.30-423.26 mg·L^-1）， rutin（46.91-1 553.61 mg·L^-1）， glycyrrhizic acid（55.97-391.47 mg·L^-1）， neomangiferin（37.45-127.03 mg·L^-1）， nuciferine（0.89-63.48 mg·L^-1）， hyperoside（6.96-136.78 mg·L^-1）， liquiritin（30.89-122.78 mg·L^-1）， liquiritigenin（26.64-110.67 mg·L^-1）， protodioscin（58.57-284.26 mg·L^-1）， the ingredients with low content were wogonin（7.16-20.74 mg·L^-1）， pseudoprotodioscin（5.49-22.96 mg·L^-1）， ginsenoside Rb₁（7.31-23.87 mg·L^-1）， ginsenoside Rg₁（10.78-28.33 mg·L^-1）， ginsenoside Re（7.78-24.76 mg·L^-1）， ophiopogonin D（2.08-4.29 mg·L^-1）， methylophiopogonanone A（0.74-1.67 mg·L^-1）. The results of network pharmacology indicated that the mechanism of anti-insulin resistance exerted by Erdongtang might be related to the phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt） signaling pathway. ConclusionThe established UHPLC-QqQ-MS has the advantages of simple sample processing， strong exclusivity and high sensitivity， and can simultaneously determine the contents of the main ingredients from seven herbs in Erdongtang， which can lay the foundation for the development of Erdongtang compound preparations. The results of the network pharmacology can provide a reference for the mechanism study of Erdongtang in the treatment of type 2 diabetes mellitus.

Epithelial-mesenchymal transition (EMT) plays an important role in the development and pathogenesis of respiratory system. Epithelial cells are characterized by well-developed, intercellular contacts, whereas EMT triggers the sequential destabilization of cell-cell adhesive junctions. The dynamic remodeling of the epithelial cell adhesion molecules is important for maintaining the integrity and normal function of epithelium. This paper reviews the research progress of EMT in lung development, lung injury repair and chronic lung diseases, and summarizes the effect of cell junctions and cell adhesion molecules on EMT molecular events.
Cell Adhesion ; Cell Adhesion Molecules ; Epithelial Cells ; Epithelial-Mesenchymal Transition ; Respiratory System

Aiming at the teaching characteristics of Medical Organic Chemistry in medical colleges and universities and the learning features of students, this article takes information technology as the medium and fully integrates autonomous learning mode of "teaching" and "learning" into the teaching process. In the teaching of Medical Organic Chemistry for students in grade 2017of Air Force Medical University, we adopted flipped classroom that is autonomous learning based on information resources-, student-centered micro-class assisted teaching, and self-learning mode such as self-designed experimental teaching based on network. The comprehensive scores of students of grade 2017 were compared with those of students of grade 2016 who adopted traditional teaching mode. The results showed that this mode of "teaching" and "learning" combined with "dominant-subject" can fully mobilize students' learning enthusiasm and initiative in Medical Organic Chemistry. It is more conducive for students to mastering learning methods, integrating knowledge and improving their ability to analyze and solve practical problems. The application of autonomous "teaching" and "learning" mode has effectively addressed the problems of insufficient interest of medical students in chemistry learning and problems of only one teaching mode for them. To a certain extent, it improves the quality and efficiency of Medical Organic Chemistry teaching.

Objective To explore the current status of the application of health portals in the field of public health, and analyze the factors affecting users' adoption of health portals, so as to provide a theoretical basis for promoting the use of health portals and promoting health management. Methods Referring to domestic and foreign literature, integrating the technology acceptance model and the dual motivation factor theory, a comprehensive analysis framework was built, and the influencing factors of whether various groups of people adopt health portals were analyzed from multiple dimensions. Results The current status of health portal applications around special groups and specific purposes was analyzed. A comprehensive analysis dimension was constructed with perceived usefulness and perceived ease of use as the basic framework, service quality, social norms and users themselves as specific indicators, and positive and negative impacts as specific directions. Conclusion From the perspective of service, society and individuals, analyzing the positive and negative factors that affect users’ adoption of health portals, it is necessary to strengthen the use of health portals by special groups such as the elderly, to further improve disease prevention and control, deepen public health services, and promote the development of healthy China.

ObjectiveTo investigate the features of liver injury in patients with coronavirus disease 2019 (COVID-19), and to provide a reference for clinical diagnosis and treatment. MethodsMedical records were collected from 201 patients with COVID-19 who were admitted to Xiangyang Central Hospital from January 19 to March 5, 2020, and these patients were divided into non-critical (mild/common type) group with 173 patients and critical (severe/critical type) group with 28 patients. The data on alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBil), direct bilirubin (DBil), and albumin (Alb) were collected. The t-test was used for comparison of normally distributed continuous data between groups, the chi-square test was used for comparison of categorical data between groups, and the Wilcoxon rank-sum test was used for comparison of ranked data between groups. ResultsAmong the 201 patients, 37 (18.4%) had liver injury, with 19 in the critical group and 18 in the non-critical group, and there was a significant difference in the incidence rate of liver injury between the two groups (67.9% vs 10.4%, χ2=52.963, P＜0.05). There were significant differences between the 19 patients with liver injury in the critical group and the 18 patients with liver injury in the non-critical group in the duration of abnormal ALT and/or AST (on admission and during hospitalization) (χ2=11.906, P＜0.05) and the increase in ALT and/or AST (Z=-2.869, P＜0.05), and most patients had mild or moderate liver injury. Among the 201 patients, only one patient had elevated bilirubin (TBil ＜2 × upper limit of normal, mainly indirect bilirubin) and had non-critical liver injury. The critical group had a significantly lower level of Alb than the non-critical group (t=-8.002, P＜0.05). Among the 201 patients, 75 had a reduction in Alb, among whom 50 (50/201, 24.9%) had a reduction on admission and 25 (25/201, 12.4%) had a reduction during hospitalization, and there were significant differences in Alb (t=-4.967, P＜0.05) and hypoalbuminemia (χ2=26.645, P＜0.05) between the two periods of time. ConclusionLiver injury is relatively common in patients with COVID-19, mainly mild or moderate liver injury. There is a low incidence rate of abnormal bilirubin and a high incidence rate of the reduction in Alb. There are significant differences in the incidence rate and severity of liver injury between the crucial and non-critical patients. Alb level can be used as one of the indicators to evaluate and predict the severity of COVID-19 patients.

Objective: To explore the risk factors of predicting white matter hyperintensities progression based on radiomics of MRI of whole-brain white matter. Methods: The imaging and clinical data of 152 patients with white matter hyperintensities admitted to Zhejiang People′s Hospital from March 2014 to October 2018 were retrospectively analyzed. The whole brain white matter on baseline T₁WI images of each patient were segmented by SPM12 software package, and images of white matter were imported into AK software for texture feature extraction and dimensionality reduction. At last, least absolute shrinkage and selection operator(LASSO) was used to calculate the score of radiomics signature of each patient. According to the improved Fazekas scale, patients with WMH progression were divided into three groups: any white matter hyperintensities (AWMH), periventricular white matter hyperintensities (PWMH) and deep white matter hyperintensities (DWMH). Statistical differences of clinical factors and radiomics signature between WMH progression subgroups and non-progression subgroups were compared with independent sample t test or Mann-Whitney U test, and Univariate logistic regression was used to select independent clinical risk factors and multivariate logistic regression along with imaging omics tags were used to construct predictive models, which was evaluated by ROC curve. And the correlation between the clinical indicators of independent risk factors and the texture feature of radiomics signature was analyzed. Results: The efficacy of the model for the detection for AWMH progression, PWMH progression and DWMH progression was 0.818,0.778 and 0.824, respectively. Age is an independent risk factor for AWMH progression and DWMH progression[OR(95%CI), 4.776(2.152-10.601) vs. 3.851(1.101-8.245); P<0.05]. BMI is an independent risk factor for DWMH[OR(95%CI), 3.004(1.204-7.370); P<0.05], and hyperlipidemia is an independent risk factor for AWMH and PWMH[OR(95%CI), 4.062(1.834-8.998) vs. 3.549(1.666-7.563); P<0.05]. In AWMH subgroup, Surface Area was negatively correlated with age and low density lipoprotein(LDL) (r=-0.401, -0.312), and Inverse Difference Moment_ALLDirection_offset 1_SD was negatively correlated with age(r=-0.412). In PWMH subgroup, Compactness 1 was negatively correlated with LDL(r=-0.198), and Inverse Difference Moment_angle 0_offset 7 was positively correlated with LDL(r=0.252). In DWMH subgroup, LongRunEmphasis_ALLDirection_offset 7 was negatively correlated with age(r=-0.322), and GLCMEntropy_angle0_offset 4 was negatively correlated with age(r=-0.278). GLCMEntropy_AllDirection_offset4 was negatively correlated with body mass index(r=-0.514). Conclusion Radiomics based on whole-brain white matter MR imaging can predict WMH progression and identify the risk factors in high-risk populations, thus providing early additional information to conventional magnetic resonance imaging to predict WMH progression.

Given the rapid development in precision medicine, tremendous efforts have been devoted to discovering new biomarkers for disease diagnosis and treatment. Esophageal cancer-related gene-4 (ECRG4), which is initially known as a new candidate tumor suppressor gene, is emerging as a sentinel molecule for gauging tissue homeostasis. ECRG4 is unique in its cytokine-like functional pattern and epigenetically-regulated gene expression pattern. The gene can be released from the cell membrane upon activation and detected in liquid biopsy, thus offering considerable potential in precision medicine. This review provides an updated summary on the biology of ECRG4, with emphasis on its important roles in cancer diagnosis and therapy. The future perspectives of ECRG4 as a potential molecular marker in precision medicine are also discussed in detail.