Objective To explore the impact of an intelligent puncture navigation used by different physicians with varying years of experience to perform the lung puncture biopsy surgery.Methods A retrospective selection was conducted of 182 patients who completed lung puncture biopsy surgery.The primary parameters were recorded included puncture time,the number of needle adjust-ments,dose length product(DLP),and complications.The physicians were categorized into high-experience and low-experience groups based on their years of clinical practice.The differences of navigation guidance and manual puncture were compared between the two groups.Results The use of navigation guidance significantly reduced the procedure time for both groups of physicians(P<0.05).Additionally,for the low-experience group,navigation guidance notably decreased the number of needle adjustments(P<0.05)and reduced the radiation dose received by patients(P<0.05).Conclusion The application of intelligent puncture navigation can shorten the procedure time,reduce the number of needle adjustments,and lower the radiation dose received by patients in lung puncture biopsy procedures.It also bridges the operational performance gap between low-experience and high-experience physicians,making it a val-uable imaging-guided tool for widespread adoption.

Objective To observe the value of immediate CT-guided small negative pressure thoracic drainage for pneumothorax after percutaneous lung biopsy(PTLB).Methods Totally 172 patients of unilateral pneumothorax after PTLB were retrospectively enrolled,including 83 patients underwent immediate CT-guided small negative pressure(about 30 mmHg)thoracic drainage after PTLB(group A)and 89 patients underwent bedside closed thoracic drainage after PTLB(group B).Clinical data before treamtent,degree of pneumothorax,the duration of catheterization,pain degree during catheterization(visual analogue scale[VAS]),blood oxygen saturation after treatment,the ratio of immediate relief of clinical symptoms,duration of drainage retention,duration of hospitalization after treatment and the occurrence of pleural reaction were compared between groups.Results Drainage went smoothly in both groups.No significant difference of clinical data before treatment nor pneumothorax degree was found between groups(all P＞0.05).Compared with those in group B,the duration of catheterization was shorter,and pain degree was lower during drainage in group A(both P＜0.001).After drainage,blood oxygen saturation and the proportion of immediate relief of clinical symptoms in group A were both higher than those in group B,while the duration of drainage retention and hospitalization were both shorter in group A than those in group B(all P＜0.001).Pleural reaction occurred in 2 patients in group A and 1 patient in group B,and no significant difference of pleural reaction was detected between groups(P=0.520).Conclusion Immediate CT-guided small negative pressure thoracic drainage was effective and safe for pneumothorax after PTLB.

Objective To explore the impact of an intelligent puncture navigation used by different physicians with varying years of experience to perform the lung puncture biopsy surgery.Methods A retrospective selection was conducted of 182 patients who completed lung puncture biopsy surgery.The primary parameters were recorded included puncture time,the number of needle adjust-ments,dose length product(DLP),and complications.The physicians were categorized into high-experience and low-experience groups based on their years of clinical practice.The differences of navigation guidance and manual puncture were compared between the two groups.Results The use of navigation guidance significantly reduced the procedure time for both groups of physicians(P<0.05).Additionally,for the low-experience group,navigation guidance notably decreased the number of needle adjustments(P<0.05)and reduced the radiation dose received by patients(P<0.05).Conclusion The application of intelligent puncture navigation can shorten the procedure time,reduce the number of needle adjustments,and lower the radiation dose received by patients in lung puncture biopsy procedures.It also bridges the operational performance gap between low-experience and high-experience physicians,making it a val-uable imaging-guided tool for widespread adoption.

Objective To observe the value of immediate CT-guided small negative pressure thoracic drainage for pneumothorax after percutaneous lung biopsy(PTLB).Methods Totally 172 patients of unilateral pneumothorax after PTLB were retrospectively enrolled,including 83 patients underwent immediate CT-guided small negative pressure(about 30 mmHg)thoracic drainage after PTLB(group A)and 89 patients underwent bedside closed thoracic drainage after PTLB(group B).Clinical data before treamtent,degree of pneumothorax,the duration of catheterization,pain degree during catheterization(visual analogue scale[VAS]),blood oxygen saturation after treatment,the ratio of immediate relief of clinical symptoms,duration of drainage retention,duration of hospitalization after treatment and the occurrence of pleural reaction were compared between groups.Results Drainage went smoothly in both groups.No significant difference of clinical data before treatment nor pneumothorax degree was found between groups(all P＞0.05).Compared with those in group B,the duration of catheterization was shorter,and pain degree was lower during drainage in group A(both P＜0.001).After drainage,blood oxygen saturation and the proportion of immediate relief of clinical symptoms in group A were both higher than those in group B,while the duration of drainage retention and hospitalization were both shorter in group A than those in group B(all P＜0.001).Pleural reaction occurred in 2 patients in group A and 1 patient in group B,and no significant difference of pleural reaction was detected between groups(P=0.520).Conclusion Immediate CT-guided small negative pressure thoracic drainage was effective and safe for pneumothorax after PTLB.

ObjectiveTo investigate the role and mechanism of podoplanin （PDPN） in hepatic stellate cell （HSC） activation and liver fibrosis. MethodsLiver biopsy samples were collected from 75 patients with chronic hepatitis B who attended Department of Infectious Diseases， Putuo Hospital Affiliated to Shanghai University of Traditional Chinese Medicine， for the first time from September 2019 to June 2022， and RT-PCR and immunohistochemistry were used to measure the expression of PDPN in liver tissue of patients in different stages of liver fibrosis. A total of 12 male C57/BL6 mice were randomly divided into control group and model group. The mice in the model group were given intraperitoneal injection of 10% CCl₄， and those in the control group were injected with an equal volume of olive oil， for 6 weeks. HE staining and Sirius Red staining were used to observe liver histopathological changes； primary mouse liver cells were separated to measure the mRNA expression of PDPN in various types of cells； primary mouse HSCs were treated with PDPN protein， followed by treatment with the NF-‍κB inhibitor BAY11-708， to measure the expression of inflammatory factors in HSCs induced by PDPN. The independent-samples t test was used for comparison of normally distributed continuous data between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for further comparison between two groups. The Spearman correlation analysis was used to investigate data correlation. ResultsAs for the liver biopsy samples， there was a relatively low mRNA expression level of PDPN in normal liver， and there was a significant increase in the mRNA expression level of PDPN in liver tissue of stage S3 or S4 fibrosis （all P<0.001）. Immunohistochemical staining showed that PDPN was mainly expressed in the fibrous septum and the hepatic sinusoid， and the PDPN-positive area in S4 liver tissue was significantly higher than that in S0 liver tissue （t=8.892， P=0.001）. In normal mice， PDPN was mainly expressed in the hepatic sinusoid， and there was a significant increase in the expression of PDPN in CCl₄ model mice （t=0.95， P<0.001）， mainly in the fibrous septum. RT-PCR showed a significant increase in the mRNA expression of PDPN in the CCl₄ model mice （t=11.25， P=0.002）. Compared with hepatocytes， HSCs， Kupffer cells， and bile duct endothelial cells， hepatic sinusoidal endothelial cells showed a significantly high expression level of PDPN （F=20.56， P<0.001）. Compared with the control group， the primary mouse HSCs treated by PDPN protein for 15 minutes showed significant increases in the mRNA expression levels of the inflammation-related factors TNFα， CCL3， CXCL1， and CXCR1 （all P<0.05）， and there were significant reductions in the levels of these indicators after treatment with BAY11-7082 （all P<0.05）. ConclusionThere is an increase in the expression of PDPN mainly in hepatic sinusoidal endothelial cells during liver fibrosis， and PDPN regulates HSC activation and promotes the progression of liver fibrosis via the NF-κB signaling pathway.

Objective:To construct an prediction model based on magnetic resonance imaging (MRI) machine learning algorithm and radiomics and investigate its application value in predicting lymphovascular invasion (LVI) status of rectal cancer without lymph node metastasis.Methods:The retrospective cohort study was conducted. The clinicopathological data of 204 rectal cancer patients without lymph node metastasis who were admitted to Gansu Provincial Hospital from February 2016 to January 2024 were collected. There were 123 males and 81 females, aged (61±7)years. All 204 patients were randomly divided into the training dataset of 163 cases and the testing dataset of 41 cases by a ratio of 8∶2 using the electronic computer randomization method. The training dataset was used to construct the prediction model, and the testing dataset was used to validate the prediction model. The clinical prediction model, radiomics model and joint prediction model were constructed based on the selected clinical and/or imaging features. Measurement data with normal distribution were represented as Mean± SD. Count data were described as absolute numbers, and the chi-square test or Fisher exact probability were used for comparison between the groups. Comparison of ordinal data was conducted using the nonparameter rank sum test. The inter-class correlation coefficient (ICC) was used to evaluate the consistency of the radiomics features of the two doctors, and ICC >0.80 was good consistency. Univariate analysis was conducted by corres-ponding statistic methods. Multivariate analysis was conducted by Logistic stepwise regression model. The receiver operating characteristic (ROC) curve was drawn, and the area under the curve (AUC), Delong test, decision curve and clinical impact curve were used to evaluate the diagnostic efficiency and clinical utility of the model. Result:(1) Analysis of factors affecting LVI status of patients. Of the 204 rectal cancer patients without lymph node metastasis, there were 71 cases with positive of LVI and 133 cases with negative of LVI. Results of multivariate analysis showed that gender, platelet (PLT) count and carcinoembryonic antigen (CEA) were independent factors affecting LVI status of rectal cancer without lymph node metastasis in training dataset [ odds ratio=2.405, 25.062, 2.528, 95% confidence interval ( CI) as 1.093-5.291, 2.748-228.604, 1.181-5.410, P<0.05]. (2) Construction of clinical prediction model. The clinical prediction model was conducted based on the results of multivariate analysis including gender, PLT count and CEA. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of clinical prediction model were 0.721 (95% CI as 0.637-0.805), 0.675, 0.632 and 0.698 for the training dataset, and 0.795 (95% CI as 0.644-0.946), 0.805, 1.000 and 0.429 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of clinical prediction model between the training dataset and the testing dataset ( Z=-0.836, P>0.05). (3) Construction of radiomics model. A total of 851 radiomics features were extracted from 204 patients, and seven machine learning algorithms, including logistic regression, support vector machine, Gaussian process, logistic regression-lasso algorithm, linear discriminant analysis, naive Bayes and automatic encoder, were used to construct the prediction model. Eight radiomics features were finally selected from the optimal Gaussian process learning algorithm to construct a radiomics prediction model. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.857 (95% CI as 0.800-0.914), 0.748, 0.947 and 0.642 for the training dataset, and 0.725 (95% CI as 0.571-0.878), 0.634, 1.000 and 0.444 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of radiomics prediction model between the training dataset and the testing dataset ( Z=1.578, P>0.05). (4) Construction of joint prediction model. The joint prediction model was constructed based on the results of multivariate analysis and the radiomics features. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.885 (95% CI as 0.832-0.938), 0.791, 0.912 and 0.726 for the training dataset, and 0.857 (95% CI as 0.731-0.984), 0.854, 0.714 and 0.926 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of joint prediction model between the training dataset and the testing dataset ( Z=0.395, P>0.05). (5) Performance comparison of three prediction models. Results of the Hosmer-Lemeshow goodness-of-fit test showed that all of the clinical prediction model, radiomics prodiction model and joint prediction model having good fitting degree ( χ2=1.464, 12.763, 10.828, P>0.05). Results of Delong test showed that there was no signifi-cant difference in the AUC between the clinical prediction model and the joint prediction model or the radiomics model ( Z=1.146, 0.658, P>0.05), and there was a significant difference in the AUC between the joint prediction model and the radiomics model ( Z=2.001, P<0.05). Results of calibra-tion curve showed a good performance in the joint prediction model. Results of decision curve and clinical impact curve showed that the performance of joint prediction model in predicting LVI status of rectal cancer without lymph node metastasis was superior to the clinical prediction model and the radiomics model. Conclusions:The clinical prediction model is constructed based on gender, PLT count and CEA. The radiomics predictive model is constructed based on 8 selected radiomics features. The joint prediction model is constructed based on the clinical prediction model and the radiomics predictive model. All of the three models can predict the LVI status of rectal cancer with-out lymph node metastasis, and the joint prediction model has a superior predictive performance.

Purpose The clinical and dual-layer detector spectral CT(DLCT)features of epidermal growth factor receptor(EGFR)mutation and anaplastic lymphoma kinase(ALK)rearrangement of lung adenocarcinoma were studied by DLCT multi-parameter imaging to explore a non-invasive prediction method for clinical diagnosis of lung adenocarcinoma gene expression.Materials and Methods A total of 98 cases of lung adenocarcinoma diagnosed by pathology in Gansu Provincial Hospital were prospectively collected from August 2020 to March 2022.Clinical parameters(gender,age,lesion morphology,number,mediastinal lymph node metastasis,EGFR and ALK mutations status)and DLCT parameters including slope of the spectrum curve of the arteriovenous phase(λHUA,λHUv),the standard iodine concentration of the arteriovenous phase(NICA,NICv),the 40 keV single-energy CT value of the arteriovenous phase(CTA 40 keV,CTv 40 keV),the active atomic number of the arteriovenous phases were collected,respectively.According to the expression of EGFR and ALK,all patients were divided into three groups:EGFR mutant group[EGFR(+)],ALK rearrangement group[ALK(+)],EGFR/ALK both negative group[EGFR/ALK(-)].Clinical and DLCT parameters of each group were analyzed.Results There were statistical difference in gender between the EGFR(+)group and EGFR/ALK(-)group(x2=11.010,P＜0.05).There were statistical differences in lesion morphology among the three groups(x2=12.858,P＜0.05).The value of CTv 40 keV in the EGFR(+)group was significantly higher than that in EGFR/ALK(-)group(t=1.997,P＜0.05),and the NICv in the ALK(+)group was significantly lower than that in EGFR/ALK(-)group(t=2.155,P＜0.05).The λHUv,NICv,CTv 40 keV of EGFR(+)group were significantly higher than those of ALK(+)group(t=2.613,3.149,3.218,all P＜0.05).The sensitivity and specifiicity to identify EGFR(+)and EGFR/ALK(-)adenocarcinoma were 62.7％and 70.0％,the area under curve(AUC)was 0.634(95％CI 0.516-0.756)when the CTv 40 keV value was 141.070 Hu.The sensitivity and specificity to identify ALK(+)and EGFR/ALK(-)adenocarcinoma were 76.7％and 64.2％,the AUC was 0.706(95％CI 0.536-0.853)when NICv value was 0.287.The sensitivity to identify EGFR(+)and ALK(+)adenocarcinoma were 70.6％,64.7％,72.5％and the specificity was 76.5％,76.5％,82.4％,respectively,the AUC was 0.734(95％CI 0.606-0.829),0.751(95％CI 0.610-0.832),0.773(95％CI 0.649-0.861)when the values of λHUv,NICv and CTv 40 keV were 1.335,0.320 and 132.350,respectively.Delong test showed that the AUC of CTv 40 keV and λHUv was statistically different(Z=2.327,P＜0.05),and the AUC of CTv 40 keV was 0.773.Conclusion The gender,lesion morphology and DLCT parameters(λHUv,CTv 40 keV,NICv)of lung adenocarcinoma have certain predictive value for EGFR and ALK genetic expression,which can help clinical judgment of lung adenocarcinoma gene mutation pattern.

Objective:To detect the abnormal changes of myocardial blood perfusion in patients with hypertrophic cardiomyopathy(HCM) by myocardial contrast echocardiography (MCE) combined with adenosine stress test.Methods:Fifteen adult patients with HCM who were treated in Fuwai Central China Cardiovascular Hospital from May 2021 to March 2022 were prospectively selected as the HCM group, and eighteen healthy volunteers matched by gender, age and body surface area during the same period were chosen as the control group. All subjects underwent routine echocardiography, rest and adenosine stress MCE. The MCE images were analyzed by QLab software to obtain the myocardial perfusion parameters: peak signal intensity (A value), rising slope of the curve (β value) and A×β value, and the differences of above parameters between the two groups were compared.According to whether the end-diastolic wall thickness ≥12 mm, the myocardial segments in the HCM group were divided into hypertrophic segments and non-hypertrophic segments. The differences in myocardial perfusion parameters were compared among control group segments, hypertrophic segments and non-hypertrophic segments of the HCM group. The correlations of stress myocardial blood flow with maximal left ventricular wall thickness (MLVWT), left ventricular mass index (LVMI) and left atrial volume index (LAVI) in the HCM group were analyzed.Results:Compared with the control group, the A value, β value and A×β value of whole myocardium, hypertrophic segments and non-hypertrophic segments in the HCM group were significantly decreased in the rest and adenosine stress state, and the differences were statistically significant (all P<0.05). In the stress state, the A value, β value and A×β value of the hypertrophic segments were significantly lower than those in the non-hypertrophic segments in the HCM group, and the detection rate of abnormal perfusion segments in the HCM group was significantly higher than that in the rest state(all P<0.05). Compared with the control group, the myocardial blood flow reserve of whole myocardium, hypertrophic segments and non-hypertrophic segments in the HCM group were significantly decreased, and the differences were statistically significant(all P<0.05). The stress myocardial blood flow in the HCM group was negatively correlated with MLVWT, LVMI and LAVI ( r=-0.815, -0.805, -0.742; all P<0.05). Conclusions:Myocardial blood perfusion abnormalities can occur in both hypertrophic and non-hypertrophic myocardial segments in patients with HCM, and adenosine stress MCE can significantly improve the sensitivity of detecting myocardial perfusion abnormalities. The stress myocardial blood flow in patients with HCM is negatively correlated with MLVWT, LVMI and LAVI.

Objective:To investigated the prevalence of anxiety and depression symptoms in patients with colorectal polyps in part of Xinjiang area and to explore the associated influencing factors related to psychological status, and to provide evidence and clues to promote the diagnosis and treatment of psychosomatic diseases in digestive system.Methods:From December 2021 to June 2022, at the First Affiliated Hospital of Shihezi University, the Fourth Division Hospital of Xinjiang Production and Construction Corps, the Third Division Hospital of Xinjiang Production and Construction Corps (Kashgar Hospital), the Thirteenth Division Red Star Hospital of Xinjiang Production and Construction Corps, the Tenth Division Beitun Hospital of Xinjiang Production and Construction Corps, the Seventh Division Hospital of Xinjiang Production and Construction Corps, the Fifth Division Hospital of Xinjiang Production and Construction Corps, patients who underwent colonoscopy and colorectal polyps detected were enrolled. The generalized anxiety disorder scale-7 (GAD-7) was used to screen anxiety symptoms, and the patient health questionaire-8 (PHQ-8) was performed to screen depression symptoms, and the general situation questionnaire was used to collect clinical information of patients. The questionnairs were completed via the Questionnaire Star platform or paper questionnaire, and a database was established. The patients were divided into groups according to whether with anxiety and depression symptoms. Multivariable logistic regression models was performed to analyze the factors related to anxiety and depression.Results:A total of 516 questionnaires were distributed and collected, among which 9 questionnaires were incomplete and 507 questionnaires were valid, the effective rate of questionnaires was 98.26%. The detection rates of anxiety and depression symptoms in 507 patients with colorectal polyps were 21.50%(109/507) and 19.33%(98/507), respectively. The results of multivariable logistic analysis revealed that female ( OR=3.87, 95% confidence interval (95% CI) 2.30 to 6.51, P<0.001), maximum diameter of polyp ( OR=1.74, 95% CI 1.14 to 2.67, P=0.011), perception of polyps as cancer ( OR=13.96, 95% CI 1.48 to 132.07, P=0.022), and the occurrence of gastrointestinal symptoms after polyp detection ( OR=5.43, 95% CI 1.74 to 16.92, P=0.004) were independent risk factors of anxiety in patients with colorectal polyps. Female ( OR=2.42, 95% CI 1.47 to 4.00, P=0.001), the number of polyps ( OR=1.07, 95% CI 1.01 to 1.13, P=0.028) and the count of gastrointestinal symptoms ( OR=2.04, 95% CI 1.34 to 3.10, P=0.001) were independent risk factors of depression in patients with colorectal polyps. Conclusion:Gender, polyp size, number of polyps, disease perception, and concomitant gastrointestinal symptoms are associated with anxiety and depression in patients with colorectal polyps.

【Objective】 To estimate the prevalence, associated factors and patterns of multimorbidity of non-communicable diseases among adults in Shaanxi Province so as to provide evidence for the prevention and control of non-communicable diseases. 【Methods】 We used the data of adults aged 18 years and older collected in the baseline survey of Shaanxi Project in the Regional Ethnic Cohort Study in Northwest China. Multinomial logistic regression was used to explore the associated factors for multimorbidity. Exploratory factor analysis was used to extract patterns of multimorbidity. 【Results】 The prevalence of multimorbidity was 10.7% among the 44 442 participants. Age increase, being males, urban residence, and being overweight or obesity were positively associated with multimorbidity. Compared with women, men had a higher risk of multimorbidity. The OR and 95% CI was 1.25 (1.12-1.39). The risk of multimorbidity increased with age among adults. Compared with participants aged 18.0-34.9 years, the ORs and 95% CIs of those aged 35.0-44.9, 45.0-54.9, 55.0-64.9, and ≥65.0 years were 4.73 (3.47-6.46), 15.61 (11.60-21.00), 41.39 (30.76-55.70) and 90.04 (66.58-121.77), respectively. The primary multimorbidity patterns among adults in Shaanxi were cardiovascular-metabolic multimorbidity (5.4%), viscero-articular multimorbidity (1.0%), and respiratory multimorbidity (0.3%). 【Conclusion】 More than one in ten adults in Shaanxi Province had multimorbidity, and the predominant pattern of multimorbidity was cardiovascular-metabolic multimorbidity. The prevention and control of non-communicable diseases should be reinforced in middle-aged and older people, males, people living in the urban, and overweight or obese people. More attention should be paid to the prevention and control of cardiovascular-metabolic diseases.