Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

ObjectiveTo observe the therapeutic effect of Qiwei Baizhusan（QWBZS） on diabetic encephalopathy（DE） rat model， and to explore the possible mechanism of QWBZS in the treatment of DE based on phosphatidylinositol 3-kinase（PI3K）/protein kinase B（Akt）/glycogen synthase kinase-3β（GSK-3β） signaling pathway. MethodForty-eight SPF male Wistar rats were randomly divided into blank group（8 rats） and high-fat diet group（40 rats）. After 12 weeks of feeding， rats in the high-fat diet group were intraperitoneally injected with 35 mg·kg^-1 of 1% streptozotocin（STZ） for 2 consecutive days to construct a DE model， and rats in the blank group were injected with the same amount of sodium citrate buffer. After successful modeling， according to blood glucose and body weight， model rats were randomly divided into model group， low， medium and high dose groups of QWBZS（3.15， 6.3， 12.6 g·kg^-1）， combined western medicine group（metformin+rosiglitazone， 0.21 g·kg^-1）， with 6 rats in each group. The administration group was given the corresponding dose of drug by gavage， and the blank group and the model group were given an equal volume of 0.9% sodium chloride solution by gavage， 1 time/day for 6 weeks. Morris water maze was used to detect the spatial memory ability of DE rats. Fasting insulin （FINS） level was detected by enzyme-linked immunosorbent assay（ELISA） and insulin resistance index（HOMA-IR） was calculated. Hematoxylin-eosin（HE） staining was used to observe the morphological changes of hippocampus in rats， ELISA was used to detect the indexes of oxidative stress in hippocampal tissues， real-time fluorescence quantitative polymerase chain reaction（Real-time PCR） was used to detect mRNA expression levels of PI3K， Akt， nuclear transcription factor-κB（NF-κB）， tumor necrosis factor-α（TNF-α） and interleukin-1β（IL-1β） in hippocampus， and Western blot was used to detect the protein expression of PI3K， Akt， phosphorylated（p）-Akt， GSK-3β and p-GSK-3β in hippocampus of rats. ResultCompared with the blank group， FINS and HOMA-IR values of the model group were significantly increased（P<0.01）， the path of finding the original position of the platform was significantly increased， and the escape latency was significantly prolonged（P<0.01）， the morphology of neuronal cells in hippocampal tissues was disrupted， the levels of reactive oxygen species（ROS） and malondialdehyde（MDA） in hippocampus of rats were increased， and the activity of superoxide dismutase（SOD） was decreased（P<0.05， P<0.01）， mRNA expression levels of PI3K and Akt were decreased（P<0.01）， mRNA expression levels of NF-κB， TNF-α and IL-1β were increased（P<0.05， P<0.01）， the protein expression levels of PI3K， p-Akt and p-GSK-3β were significantly decreased， and the protein expression of GSK-3β was significantly increased（P<0.01）. Compared with the model group， the FINS and HOMA-IR values of the medium dose group of QWBZS and the combined western medicine group were significantly decreased（P<0.01）， the path of finding the original position of the platform and the escape latency were significantly shortened（P<0.01）， the hippocampal tissue structure of rats was gradually recovered， and the morphological damage of nerve cells was significantly improved， the contents of ROS and MDA in hippocampus of rats decreased and the level of SOD increased（P<0.01）， the mRNA expression levels of PI3K and Akt were increased（P<0.01）， and the mRNA expression levels of NF-κB， TNF-α and IL-1β were decreased （P<0.05， P<0.01）， the protein expression levels of PI3K， p-Akt and p-GSK-3β were significantly increased（P<0.01）， and the expression of GSK-3β was significantly decreased（P<0.01）. ConclusionQWBZS can alleviate insulin resistance in DE rats， it may repair hippocampal neuronal damage and improve learning and cognitive ability of DE rats by activating PI3K/Akt/GSK-3β signaling pathway.

OBJECTIVE To evaluate the cost-effectiveness of ivabradine in the treatment of chronic heart failure （CHF） in the context of “Quadruple Therapy” from the perspective of the health system. METHODS Based on real-world cohort data， the Markov model was constructed according to the natural progression of CHF， with a cycle time of 3 months， a study timeframe of 20 years， and a discount rate of 5%. Using quality-adjusted life year （QALY） and incremental cost-effectiveness ratios （ICER） as the output indexes， the cost-utility analysis was used to evaluate the cost-effectiveness of ivabradine in combination with the “Quadruple Therapy” regimen， compared with the “Quadruple Therapy” regimen for the treatment of CHF， and the robustness of the results of the base analysis was verified by univariate sensitivity analysis and probabilistic sensitivity analysis. RESULTS The results of the base analysis showed that the ICER of ivabradine combined with the “Quadruple Therapy” regimen was 165 065.54 yuan/QALY， compared with the “Quadruple Therapy” regimen， which was lower than the willingness-to-pay （WTP） threshold （257 094 yuan/QALY） based on 3 times of China’s gross domestic product （GDP） per capita in 2022. The results of the univariate sensitivity analysis showed that the discount rate had the greatest impact on the robustness of the model. The probabilistic sensitivity analysis showed that the probability that the ivabradine combined with the “Quadruple Therapy” regimen was cost-effective under the WTP threshold in this study was 59.50%. CONCLUSIONS When using 3 times China’s 2022 GDP per capita （257 094 yuan/ QALY） as the WTP threshold， the combination of ivabradine and the “Quadruple Therapy” regimen for treating CHF is cost- effective.

Objective Summarize the key difficult problems faced by national regional medical centers,create a checklist of crucial issues,and propose strategic recommendations to support future development.Methods It employed a combination of literature review,field research,and in-depth interviews to develop an initial draft of the checklist for key issues in national regional medical centers.Additionally,two rounds of Delphi method consultation were conducted with experts from local government,exporting and supporting hospitals.The data gathered from the questionnaires in both rounds were analyzed,and essential questions were identified.Results The questionnaires achieved response rates of 99%and 100%in the two rounds,and the expert authority coefficients were 0.83 and 0.90.The final checklist for key issues in national regional medical centers encompassed a total of 6 problems.These included 3 challenges related to establishing sound management systems and mechanisms,1 challenge concerning human resource management improvement,1 challenge focusing on elevating medical service levels,and 1 challenge pertaining to other aspects of progress.Conclusion Currently,the development of national regional medical centers encounters crucial challenges,including the enhancement of management mechanisms,overall human resource management,and medical capabilities.The government should reinforce leadership assurance,coordination,and supervisory responsibilities.Exporting hospitals should enhance management systems and operational mechanisms.Supporting hospitals should focus on effective party building guidance and cooperation while consistently promoting the uniform development of national regional medical centers.

Objective Summarize the key difficult problems faced by national regional medical centers,create a checklist of crucial issues,and propose strategic recommendations to support future development.Methods It employed a combination of literature review,field research,and in-depth interviews to develop an initial draft of the checklist for key issues in national regional medical centers.Additionally,two rounds of Delphi method consultation were conducted with experts from local government,exporting and supporting hospitals.The data gathered from the questionnaires in both rounds were analyzed,and essential questions were identified.Results The questionnaires achieved response rates of 99%and 100%in the two rounds,and the expert authority coefficients were 0.83 and 0.90.The final checklist for key issues in national regional medical centers encompassed a total of 6 problems.These included 3 challenges related to establishing sound management systems and mechanisms,1 challenge concerning human resource management improvement,1 challenge focusing on elevating medical service levels,and 1 challenge pertaining to other aspects of progress.Conclusion Currently,the development of national regional medical centers encounters crucial challenges,including the enhancement of management mechanisms,overall human resource management,and medical capabilities.The government should reinforce leadership assurance,coordination,and supervisory responsibilities.Exporting hospitals should enhance management systems and operational mechanisms.Supporting hospitals should focus on effective party building guidance and cooperation while consistently promoting the uniform development of national regional medical centers.

Objective Summarize the key difficult problems faced by national regional medical centers,create a checklist of crucial issues,and propose strategic recommendations to support future development.Methods It employed a combination of literature review,field research,and in-depth interviews to develop an initial draft of the checklist for key issues in national regional medical centers.Additionally,two rounds of Delphi method consultation were conducted with experts from local government,exporting and supporting hospitals.The data gathered from the questionnaires in both rounds were analyzed,and essential questions were identified.Results The questionnaires achieved response rates of 99%and 100%in the two rounds,and the expert authority coefficients were 0.83 and 0.90.The final checklist for key issues in national regional medical centers encompassed a total of 6 problems.These included 3 challenges related to establishing sound management systems and mechanisms,1 challenge concerning human resource management improvement,1 challenge focusing on elevating medical service levels,and 1 challenge pertaining to other aspects of progress.Conclusion Currently,the development of national regional medical centers encounters crucial challenges,including the enhancement of management mechanisms,overall human resource management,and medical capabilities.The government should reinforce leadership assurance,coordination,and supervisory responsibilities.Exporting hospitals should enhance management systems and operational mechanisms.Supporting hospitals should focus on effective party building guidance and cooperation while consistently promoting the uniform development of national regional medical centers.