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.

Objective:To analyze and explore the effects of Huayu Jiedu Decoction on the malignant biological characteristics of multiple myeloma(MM)cells and its molecular mechanism,so as to provide experimental basis and theoretical basis for the alternative therapy of anti-MM in traditional Chinese medicine.Methods:Different concentrations of Huayu Jiedu Decoction were used to intervene myeloma U266 cells.The changes of cell proliferation activity were detected by CCK-8 assay,apoptosis was detected by Annexin V/PI double staining flow cytometry,and apoptosis and protein expression of related signaling pathways were detected by Western blot.Real-time quantitative PCR was used to detect mRNA expression changes of high mobility group protein B1(HMGB1),CXC chemokine receptor 4(CXCR4)and interleukin-6(IL-6).Results:Huayu Jiedu Decoction inhibited the proliferative activity of U266 cells and induced their apoptosis in a concentration and time dependent manner(r=-0.713,r=-0.827).After treatment with Huayu Jiedu Decoction for 48 h,the expressions of anti-apoptotic protein Bcl-2 and survivin were down-regulated,while the expression of pro-apoptotic protein Bax was up-regulated,and the phosphorylation level of TLR4/NF-κB signaling pathway was inhibited.After intervention of Huayu Jiedu decoction,the expressions of HMGB1 and IL-6 mRNA were significantly decreased,while the expression of CXCR4 was not significantly decreased.Conclusion:Huayu Jiedu Decoction can inhibit the proliferative activity of U266 cells and induce programmed death.Its molecular mechanism may be related to regulating the expression of apoptotic proteins,inhibiting the activation of TLR4/NF-κB pathway and down-regulating the expression of HMGB1 and IL-6 mRNA.

Objective:To investigate the effects of Curcumol on the malignant biological characteristics of acute myeloid leukemia (AML)cells and its molecular mechanism,and to provide theoretical and experimental evidence for the anti-leukemia treatment of traditional Chinese medicine.Methods:After the AML cell lines HL-60 and KG-1 cells were treated different concentrations of with Curcumol.The proliferation activity of cells was detected by CCK-8 method,and the expression changes of apoptotic proteins and PI3 K/AKT signaling pathway proteins were detected by Western blot. Real-time quantitative fluorescence polymerase chain reaction (RT-qPCR ) was used to detect the expression of Caspase family mRNA.Results:Curcumol could inhibit the proliferation and induce apoptosis of HL-60 and KG-1 cells,promote apoptosis by up-regulating the expression of Bax and down-regulating the expression of Bcl-2 protein (P<0.05).When Curcumol interferes with HL-60 and KG-1 cells,it can also induce programmed cell death of AML by inhibiting PI3 K/AKT signaling pathway.In addition,after the intervention of Curcumol,the expression of Caspase 3,Caspase 6,Caspase 8 and Caspase 9 were up-regulated in HL-60 cells (P<0.05 ),the expression of Caspase 3,Caspase 8 and Caspase 9 were significantly up-regulated in KG-1 cells (P<0.01),while the expression of Caspase 6 was weakly affected (P<0.05 ),but low concentration of Curcumol (<60 μg/ml)had no effect on the expression of Caspase 6 in KG-1 cells (P>0.05).Conclusion:Curcumol may mediate the programmed death of AML cells by inhibiting the PI3K/AKT signaling pathway,affecting the expression of Bcl-2 family proteins,and promoting the activation of core members of Caspase family,so as to play an anti-leukemia role.

Objective:To investigate the effect of bisoprolol combined with ticagrelor on levels of Galectin-3,carci-noembryonic antigen-related cell adhesion molecule 1(CEACAM1)in patients with acute myocardial infarction(AMI)after percutaneous coronary intervention(PCI).Methods:A total of 140 AMI patients underwent PCI in our hospital from May 2019 to June 2021 were selected.According to coin-toss method,they were divided into control group(n=70)and combined group(n=70).Both groups received aspirin,control group received ticagrelor on this basis,while combined group received ticagrelor combined bisoprolol on the basis.Both groups were treated for two weeks.Levels of Galectin-3,CEACAM1,serum N terminal pro B-type natriuretic peptide(NT-proB-NP),tumor necrosis factor-α(TNF-α),nitric oxide(NO),endothelin-1(ET-1)and malondialdehyde(MDA)before and after treatment,therapeutic effect and incidence of adverse reactions were compared between two groups.Results:Compared with control group after treatment,combined group showed significant reductions in levels of Galectin-3[(34.67±2.34)ng/L vs.(28.54±1.92)ng/L],CEACAM1[(229.64±17.36)pg/mlvs.(175.54±11.97)pg/ml],NT-proBNP[(196.49±20.83)ng/L vs.(103.46±16.35)ng/L],TNF-α[(5.68±0.72)mg/L vs.(3.23±0.57)mg/L],ET-1[(59.47±4.74)ng/L vs.(45.29±3.84)ng/L]and MDA[(8.42±0.96)μmol/L vs.(5.03±0.46)μmol/L],and significant increase in NO level[(72.34±5.69)μmol/L vs.(92.16±6.61)μmol/L](P＜0.001 all).Total effective rate(94.29％vs.75.71％)of combined group was signif-icantly higher than that of control group(P=0.002),while incidence rate of adverse reactions(1.43％vs.14.29％)was significantly lower than that of control group(P=0.005).Conclusion:Ticagrelor combined with bi-soprolol can significantly reduce levels of Galectin-3 and CEACAM1,improve the therapeutic effective rate with good safety in AMI patients,which is worthy of promotion and application.

Purpose/Significance Based on the digital health community reference architecture,the technical framework for smart and healthy city is constructed to support the research and development of smart and healthy city.Method/Processs According to the ar-chitecture,combined with the needs and practices of the digitalization of the health industry,the"1+1+3+N"technical framework re-presenting the digital infrastructure and smart hub of the smart and healthy city is derived,namely,the one network,unified digital health foundation,three service platforms and N intelligent applications,application analysis is conducted.Result/Conclusion The framework can be used to crack the information interoperability problem,significantly release the value of medical and health data,and support in-dustry users and industry partners to hammer out scenario-based solutions for different business areas,and provide references for the top-level planning,construction and development of smart and healthy cities around the country.

Objective To investigate the causes of a cluster of suspected neonatal carbapenem-resistant Klebsiella pneumoniae(CRKP)bloodstream infection(BSI)in the neonatal department of a hospital,and provide references for the effective control of the occurrence of healthcare-associated infection(HAI).Methods Epidemiological in-vestigation on 3 neonates with CRKP BSI in the neonatal department from January 31 to February 6,2023 was per-formed.Specimens from environmental object surfaces were taken for environmental hygiene monitoring,and effec-tive control measures were taken according to the risk factors.Results From January 31 to February 6,2023,a to-tal of 60 neonates were admitted in the neonatal department,including 16 with peripherally inserted central venous catheter(PICC).Three neonates had CRKP BSI,with a incidence of 5.00％.There were 33 hospitalized neonates on the day(February 7)when the cluster of HAI was reported,with a prevalence rate of 9.09％(3/33).CRKP BSI rate in the neonatal department of this hospital from January 31 to February 6,2023 was higher than that in 2022(P＜0.001).The incubators of the 3 neonates with CRKP BSI were in the same ward and adjacent to each other.The first neonate with CRKP BSI(who developed BSI on January 31)underwent PICC maintenance on Feb-ruary 4,and the other 2 neonates with PICC maintenance immediately following the first one also developed CRKP BSI.CRKP were isolated from blood culture of all 3 neonates,and antimicrobial susceptibility testing results were consistent.Conclusion The occurrence of the cluster event of neonatal CRKP BSI may be related to the failure of strict implementation of aseptic procedures during PICC maintenance and cross contamination among items.