Objective To include patients with clinical data matched by propensity scores and to explore the value of 18F-fluorode-oxyglucose(18F-FDG)PET/CT metabolic parameters and radiomics in differentiating benign and malignant solitary pulmonary nod-ule(SPN).Methods A total of 54 patients with SPN(27 benign and 27 malignant)were retrospectively selected,all of them under-went 18F-FDG PET/CT scans.Then the metabolic parameters were analyzed,and the metabolic parameters model was established.After delineating the lesion,imaging features were selected through variance and correlation analysis.The logistic regression was used to build the model,and balance accuracy(bACC)was used to compare the performance of the models.The correlation between meta-bolic parameters and radiomics features was analyzed.Results The maximum standardized uptake value(SUVmax),total lesion uptake(TLU),and coefficient of variation(COV)of malignant were higher than those of benign(P＜0.05).SUVmax and COV had positive predictive value for malignant lesions[odds ratio(OR)＞1,P＜0.05].There was no statistical difference between the performance of the metabolic parameters model and the radiomics model(P＞0.05).There was a strong correlation between radiomics features and metabolic parameters.Conclusion After propensity score matching,metabolic parameters and radiomics show no statistical difference in differentiating benign from malignant SPN.

Objective:To explore the core factors of self-management and quality of life (QOL) in patients with chronic obstructive pulmonary disease (COPD) and the internal relationship between these two constructs.Methods:A convenience sampling method was used to enroll 210 COPD patients who visited the Fifth Affiliated Hospital, Sun Yat-sen University from January to December 2022. Data were collected using Self-Management Scale and 36-item Short-Form. A relationship network between self-management and QOL was constructed via network analysis, and centrality indicators and network stability were calculated.Results:A total of 210 questionnaires were distributed, and 205 valid questionnaires were recovered, with an effective recovery rate of 97.6%. Emotional management was identified as the core node in both the overall network and the self-management subnetwork (2.064), while vitality was the core node in the QOL subnetwork (0.730). The relationship between self-management and QOL was mainly manifested through the strong association between emotional management and role-emotion.Conclusions:Emotional management is the core factor in the relationship between self-management and QOL in COPD patients. The overall network of self-management and QOL is influenced by the strong association between emotional management and role-emotion.

In the diagnosis and treatment of orthopedic diseases, medical imaging plays a crucial role. However, as traditional imaging relies heavily on the personal experience and subjective judgment of clinicians, it may lead to diagnostic bias. In recent years, artificial intelligence (AI) technology has developed rapidly in the field of medical imaging, offering new opportunities for orthopedic surgeons to interpret imaging results. Deep learning, the essence of AI technology, can automatically extract characteristic images from vast amounts of X-ray films, CT scans, MRIs, and other imaging data, for intelligent analysis. This enables early diagnosis and accurate identification of diseases such as occult fractures, bone tumors, and degenerative lesions, significantly improving the rate and accuracy of disease detection. This article reviews the application of AI technology in X-ray film, CT plain scan and 3D reconstruction, MRI, and ultrasound 3D reconstruction in imaging examination based on the latest research progress. In addition, the potential values of AI technology in orthopedic imaging diagnosis and prediction are explored, and the "bottleneck" problems in AI technology are also analyzed in the diagnosis of orthopedic diseases.

Objective:To explore the core factors of self-management and quality of life (QOL) in patients with chronic obstructive pulmonary disease (COPD) and the internal relationship between these two constructs.Methods:A convenience sampling method was used to enroll 210 COPD patients who visited the Fifth Affiliated Hospital, Sun Yat-sen University from January to December 2022. Data were collected using Self-Management Scale and 36-item Short-Form. A relationship network between self-management and QOL was constructed via network analysis, and centrality indicators and network stability were calculated.Results:A total of 210 questionnaires were distributed, and 205 valid questionnaires were recovered, with an effective recovery rate of 97.6%. Emotional management was identified as the core node in both the overall network and the self-management subnetwork (2.064), while vitality was the core node in the QOL subnetwork (0.730). The relationship between self-management and QOL was mainly manifested through the strong association between emotional management and role-emotion.Conclusions:Emotional management is the core factor in the relationship between self-management and QOL in COPD patients. The overall network of self-management and QOL is influenced by the strong association between emotional management and role-emotion.

[Objective]To explore the effects of astragalin(AST)on autophagy and apoptosis of astrocytes in the L4-5 dorsal horn of the spinal cord in mice with inflammatory pain induced by complete Freund's adjuvant(CFA).[Methods]Twenty-four male C57BL/6 mice,aged six months,were randomly assigned to four groups:control group,saline group,CFA model group,and CFA+AST group,six mice in each group.The inflammatory pain model was established by injection of 10 μL CFA into the right lateral malleolus fossa.The saline group were injected with an equal amount of normal saline at the same site.The inflammatory pain mice in CFA+AST group were further treated with AST(60 mg/kg)intraperitoneally once a day for 21 consecutive days.Multiplex immunofluorescence staining was used to detect the coexpression of autophagy-related factors including ATG 12 and Beclin-1,apoptosis-related factors including Cleaved-Caspase3 and Caspase9,and the astrocyte marker such as GFAP in the L4-5 spinal dorsal horn of the mice in each group.Western blot was used to examine the protein expression levels of autophagy-related proteins(ATG12,Beclin-1)and apoptosis-related proteins(Caspase 3,Caspase 9)in the L4-5 spinal dorsal horn of mice.[Results]Immunofluorescent staining showed that in the L4-5 dorsal horn of the spinal cord,the fluorescence intensity of ATG12(P<0.000 1)and Beclin-1(P<0.000 1)was significantly increased,while that of Cleaved-Caspase 3(P<0.001)and Caspase 9(P<0.000 1)was decreased in the CFA+AST group when compared to the CFA model group.Furthermore,AST could inhibit the activation of astrocytes.Western blot further confirmed that AST significantly upregulated the expression of ATG12(P<0.000 1)and Beclin-1(P<0.000 1)in the L4-5 spinal cord of CFA mice,and downregulated the expression of Caspase 3(P<0.01)and Caspase 9(P<0.001).[Conclusions]AST promotes autophagy of astrocytes and inhibits their apoptosis in the L4-5 spinal dorsal horn of CFA mice.

Objective To include patients with clinical data matched by propensity scores and to explore the value of 18F-fluorode-oxyglucose(18F-FDG)PET/CT metabolic parameters and radiomics in differentiating benign and malignant solitary pulmonary nod-ule(SPN).Methods A total of 54 patients with SPN(27 benign and 27 malignant)were retrospectively selected,all of them under-went 18F-FDG PET/CT scans.Then the metabolic parameters were analyzed,and the metabolic parameters model was established.After delineating the lesion,imaging features were selected through variance and correlation analysis.The logistic regression was used to build the model,and balance accuracy(bACC)was used to compare the performance of the models.The correlation between meta-bolic parameters and radiomics features was analyzed.Results The maximum standardized uptake value(SUVmax),total lesion uptake(TLU),and coefficient of variation(COV)of malignant were higher than those of benign(P＜0.05).SUVmax and COV had positive predictive value for malignant lesions[odds ratio(OR)＞1,P＜0.05].There was no statistical difference between the performance of the metabolic parameters model and the radiomics model(P＞0.05).There was a strong correlation between radiomics features and metabolic parameters.Conclusion After propensity score matching,metabolic parameters and radiomics show no statistical difference in differentiating benign from malignant SPN.

In the diagnosis and treatment of orthopedic diseases, medical imaging plays a crucial role. However, as traditional imaging relies heavily on the personal experience and subjective judgment of clinicians, it may lead to diagnostic bias. In recent years, artificial intelligence (AI) technology has developed rapidly in the field of medical imaging, offering new opportunities for orthopedic surgeons to interpret imaging results. Deep learning, the essence of AI technology, can automatically extract characteristic images from vast amounts of X-ray films, CT scans, MRIs, and other imaging data, for intelligent analysis. This enables early diagnosis and accurate identification of diseases such as occult fractures, bone tumors, and degenerative lesions, significantly improving the rate and accuracy of disease detection. This article reviews the application of AI technology in X-ray film, CT plain scan and 3D reconstruction, MRI, and ultrasound 3D reconstruction in imaging examination based on the latest research progress. In addition, the potential values of AI technology in orthopedic imaging diagnosis and prediction are explored, and the "bottleneck" problems in AI technology are also analyzed in the diagnosis of orthopedic diseases.

ObjectiveTo investigate the effect of Gualou Xiebai Banxiatang on cardiac function and myocardial histopathological changes in rats with ischemic myocardial injury， and to observe the effect of myocardial microvascular density （MVD）， phosphatidylinositol 3-kinase （PI3K）， mammalian target of rapamycin （mTOR）， hypoxia-inducible factor-1 alpha （HIF-1α）， and vascular endothelial growth factor （VEGF） signaling pathways on myocardial microangiogenesis. MethodSeventy male SD rats were randomly selected， with six rats in the normal group. The remaining rats were fed a high-fat diet and injected with isoproterenol hydrochloride （ISO，80 mg·kg^-1·d^-1， 2 d） to induce a hyperlipidemia-based ischemic heart disease model. After successful modeling， the rats were randomly divided into the model group， high， medium， and low dose groups of Gualou Xiebai Banxiatang， and the metoprolol group. The high， medium， and low dose groups of Gualou Xiebai Banxiatang were given Gualou Xiebai Banxiatang at 10.42， 5.21， 2.61 g·kg^-1·d^-1， respectively， while the metoprolol group was given metoprolol at 2.6 mg·kg^-1·d^-1. Both the normal and model groups were given an equivalent volume of physiological saline for 28 days. After the intervention， relevant tests were conducted， and serum was collected to measure heart function-related indicators. Hematoxylin-eosin （HE） and Masson staining were performed on ventricular tissue to observe pathological changes under a light microscope. Immunohistochemistry （IHC） was used to detect the positive expression of platelet endothelial cell adhesion molecule （CD31）. Enzyme-linked immunosorbent assay （ELISA） was used to detect the expression of N-terminal pro-brain natriuretic peptide （NT-proBNP） and VEGF. Western blot was used to detect the protein expression levels of PI3K/mTOR/HIF-1α/VEGF. ResultCompared with the normal group， the model group showed significantly increased serum levels of LDH， CK， CK-MB， NT-proBNP， and VEGF （P<0.01）， significantly increased collagen volume fraction （CVF） （P<0.01）， significantly decreased MVD （P<0.01）， and elevated protein expression levels of PI3K， mTOR， HIF-1α， and VEGF （P<0.05， P<0.01）. Compared with the model group， the metoprolol group had significantly lower serum levels of LDH， CK， CK-MB， and NT-proBNP （P<0.01）， significantly higher VEGF levels （P<0.01）， significantly decreased CVF （P<0.01）， significantly increased MVD （P<0.01）， and significantly increased protein expression levels of PI3K， mTOR， and VEGF （P<0.01）， with no statistically significant change in HIF-1α protein expression. Compared with the model group， the high and medium dose groups of Gualou Xiebai Banxiatang had decreased serum levels of LDH， CK， CK-MB， and NT-proBNP （P<0.05， P<0.01）， increased VEGF levels （P<0.05， P<0.01）， significantly reduced CVF （P<0.01）， increased MVD （P<0.05， P<0.01）， and significantly increased protein levels of PI3K， mTOR， HIF-1α， and VEGF （P<0.01）. In the low dose group of Gualou Xiebai Banxiatang， compared with the model group， serum levels of LDH and NT-proBNP were decreased （P<0.05）， VEGF was increased （P<0.05）. Moreover， CVF was decreased （P<0.05）， and the protein expression levels of PI3K， mTOR， HIF-1α， and VEGF were significantly increased （P<0.01）. ConclusionGualou Xiebai Banxiatang can improve cardiac function， reduce myocardial pathological damage， enhance endothelial cell function， promote myocardial microvascular formation， and upregulate the expression of PI3K， mTOR， HIF-1α， and VEGF proteins in myocardial tissue in rats with ischemic myocardial injury.

Objective:To investigate the value of dynamic enhanced magnetic resonance imaging (MRI) parameters combined with peripheral blood systemic inflammatory response index (SIRI) in predicting recurrence and metastasis after modified radical triple-negative breast cancer (TNBC) .Methods:A total of 351 TNBC patients who received modified radical surgery in our hospital from Jan. 2019 to Dec. 2021 were followed up for 2 years, and were separated into the recurrence group ( n=32) and the non-recurrence group ( n=319) according to whether they had recurred after surgery. Clinical data of patients were collected, risk factors affecting postoperative recurrence were analyzed, preoperative dynamic enhanced MRI parameters and peripheral blood SIRI level of patients were recorded, and the predictive value of both in postoperative recurrence was analyzed. Results:There were statistically significant differences in clinical stage and preoperative neoadjuvant chemotherapy between the two groups ( χ2=19.56, 7.53, P<0.05). The proportion of irregular tumor morphology in recurrence group was higher than that in non-recurrence group ( χ2=9.031, P<0.05). The levels of transport constant K trans, reflux rate constant K ep and SIRI in the recurrence group were higher ( χ2=15.26, 3.89, 10.10, P<0.05), and there was no statistically significant difference in plasma volume fraction V p and time to peak (TTP) between the two groups ( P>0.05). Multivariate Logistic regression analysis showed that stage III, no neoadjuvant chemotherapy before surgery, irregular tumor shape before surgery, high K trans value, high K ep value and high SIRI level were all risk factors for postoperative recurrence and metastasis in TNBC patients. ROC results showed that the area under the curve (AUC) of preoperative K trans, preoperative K ep and SIRI in predicting postoperative recurrence and metastasis of TNBC patients were 0.797,0.737 and 0.741, respectively. The combined prediction of AUC for postoperative recurrence and metastasis of TNBC patients was 0.797, sensitivity was 59.4%, and specificity was 94.36% (all P<0.05) . Conclusions:High K trans value, high K ep value and high SIRI level are all risk factors for postoperative recurrence and metastasis in TNBC patients. The area under the curve, sensitivity and specificity predicted by their combination for postoperative recurrence and metastasis in patients with TNBC are relatively higher.

Objective To explore the effectiveness of using Excel sheets combined with QR codes for precision naviga-tion and location management of sterile instrument rooms in the operating room.Methods The study focused on the location management of nearly 1,000 sterile instruments in three sterile instrument rooms of our hospital.Instruments from July to Septem-ber 2023 were used as the control group,employing traditional location management methods.Instruments from October to De-cember 2023 were used as the observation group,applying Excel sheets and QR codes for precise navigation and location manage-ment.Results The time taken by new nurses and interns to find and retrieve sterile instruments decreased from(4.61±0.32 min)to(1.41±0.15 min).The accuracy of retrieving sterile instruments increased from 83.33％to 98.33％.The compliance rate for location management of sterile instruments improved from 75％to 100％.Nurse satisfaction increased from 81.67％to 96.67％,with significant differences observed(P＜0.05).Conclusion The application of Excel sheets combined with QR codes for precision navigation and location management of sterile instrument rooms in the operating room effectively reduces re-trieval time for sterile instruments,decreases error rates,optimizes management processes,enhances work efficiency,avoids sur-gical delays,ensures patient safety,minimizes conflicts between medical staff and patients,and increases nurse satisfaction.This approach is worthy of clinical promotion and application.