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 investigate the effects of metformin(Met)on the proliferation of pancreatic cancer cells under different glucose concentration culture conditions,and to find the potential role of miR-139-5p in the process.Methods PANC-1 cells were treated with different concentrations of metformin(0/5/10/20 mmol/L)in 25 mmol/L(high-glucose group,HG)or 5 mmol/L(normal-glucose group,NG)glucose culture,cell proliferation,apoptosis,migration and cell cycle were detected after 48 h.The expression of miR-139-5p was quantitatively detected by RT-qPCR,and the miR-139-5p mimics were transfected into PANC-1 cells to clarify the role of miR-139-5p.Results Metformin inhibited the proliferation,promoted apoptosis,and induced S phase and G2/M phase arrest of PANC-1 cells under in high glucose and normal glucose culture conditions,and its anti-proliferation and pro-apoptosis effects were more significant in the normal glucose groups.The expression of miR-139-5p was up-regu-lated by metformin treatment in normal but not in high glucose culture.Further studies showed that miR-139-5p mimics inhibited of PANC-1 cells proliferation without metformin pre-incubation and enhanced the anti-prolifera-tion effect of 5 mmol/L metformin.The pro-apoptotic effect of 10 mmol/L metformin in normal glucose culture conditions.Conclusions In normal-glucose culture conditions,metformin can inhibit proliferation,induce apop-tosis and cell cycle arrest of PANC-1 cells more significantly than in higher-glucose culture,which may be partly related to the up-regulation of miR-139-5p.

BACKGROUND:Ginseng extracts have been found to significantly improve osteoarthritis,but the therapeutic effects of ginseng polysaccharide extracts on osteoarthritis have not been reported. OBJECTIVE:To investigate the effect of ginseng polysaccharide on the expression of prostaglandin E2/6-keto-prostaglandin F1α in traumatic osteoarthritis model rats. METHODS:Sixty male Sprague-Dawley rats were selected and randomly divided into healthy group,model group,ginseng polysaccharide low-dose group,ginseng polysaccharide medium-dose group,ginseng polysaccharide high-dose group and dexamethasone group.Except for 10 rats in the healthy group,the other rats were taken to establish traumatic osteoarthritis models.The healthy group and model group were given 0.2 mL of normal saline intraperitoneally.The low-,medium-,and high-dose groups were intraperitoneally injected with 0.1,0.25,0.5 μg/mL ginseng polysaccharide,respectively.In the dexamethasone group,0.2mg/kg dexamethasone(0.2 mL)was injected intraperitoneally.Injections were given once every 3 days,for 4 consecutive weeks.Serum prostaglandin E2 and 6-keto-prostaglandin F1α levels were detected by ELISA.The bone and joint function of rats were assessed by the Mankin's score.Hematoxylin-eosin staining was used to observe the pathologic morphology of the knee joints of rats.Western blot and PCR were used to detect the protein and mRNA expression of tumor necrosis factor α and interleukin-1β,interleukin-10 in articular cartilage tissue,respectively. RESULTS AND CONCLUSION:Compared with the model group,serum prostaglandin E2 levels were decreased in the medium-dose group and dexamethasone group,while serum 6-keto-prostaglandin F1α levels were increased(P<0.05).Compared with the medium-dose group and dexamethasone group,the above-mentioned indicators were significantly improved in the high-dose group,and there was no significant difference between the medium-dose group and dexamethasone group(P>0.05).Compared with the model group,the Mankin's score was reduced in the medium-dose group and dexamethasone group(P<0.05),but there was no significant difference between the medium-dose group and dexamethasone group(P>0.05).Compared with the medium-dose group and dexamethasone group,the Mankin's score was significantly reduced in the high-dose group(P<0.05).The cartilage tissue layer of rats in the model and low-dose groups was significantly thinned,the cracks and chondrocytes deep into the bone layer were largely lost,the tide line was seriously broken and blurred,the collagen fibers in the synovial layer were increased and thickened,and a large number of chondrocytes were destroyed and arranged irregularly.These pathological changes were improved in the medium-dose group and dexamethasone group compared with the model group as well as improved in the high-dose group compared with the medium-dose group.Compared with the model group,the expression of tumor necrosis factor-α and interleukin-1β was reduced,while the expression of interleukin-10 was increased in the medium-dose group and dexamethasone group(P<0.05).These indicators in the joint were significantly improved in the high-dose group compared with the medium-dose group and dexamethasone group(P<0.05),but there was no significant difference between the medium-dose group and dexamethasone group(P>0.05).To conclude,ginseng polysaccharide can improve the inflammatory level and pathological morphology of traumatic osteoarthritis rats and reduce the Mankin's score.Its mechanism may be related to the regulation of prostaglandin E2/6-keto-prostaglandin F1α levels.