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 explore the mechanism of Shenqi guben formula （SQGB） in improving cancer-related fatigue （CRF） based on network pharmacology and cellular experiments. METHODS Active components of SQGB and CRF-related targets were identified on the basis of databases such as the Traditional Chinese Medicine Systems Pharmacology platform. An in vitro CRF cell model was established by inducing A549 cells with interleukin-17 （IL-17）. Cells were treated with low （1.0 mg/mL） or high （1.5 mg/mL） concentrations of SQGB. The effects on cell viability， migration， apoptosis， inflammatory factors， mRNA expression， apoptosis-related proteins and key proteins 011） of IL-17 signaling pathway were evaluated using scratch assay， flow cytometry， ELISA， real-time fluorescent quantitative PCR and Western blot analysis. RESULTS SQGB contained 84 active components acting on 209 potential CRF targets. Among E-these， quercetin， kaempferol， and luteolin were identified as the core components of the compound. Core targets included tumor protein p53， AKT serine/threonine kinase 1， IL-6， and tumor necrosis factor （TNF）. IL-17， TNF and phosphatidylinositol-3- kinase-serine/threonine protein kinase （PI3K/Akt） signaling pathways were identified as crucial pathways. Compared with IL-17 intervention group， the cell migration rate， B-cell lymphoma 2 （Bcl-2） protein expression， the levels of IL-6 and TNF-α in the supernatant， mRNA expression of IL-17 receptor A （IL-17RA）， TNF-α， and IL-6， as well as the protein expression of IL-17RA and nuclear factor kappa-B p65 subunit （p65）， and phosphorylated （p）-p65/p65 ratio in IL-17+SQGB low- and high- quality concentration groups were all significantly decreased or down-regulation （P＜0.05）； the apoptosis rate， expression levels of Bcl-2 associated X protein （Bax） and cleaved caspase-3 protein， the ratio of Bax/Bcl-2， the expression level of p-p38 protein， and the p- p38/p38 ratio were all significantly increased or up-regulated （P＜0.05）. Moreover， the improvement effects of these indicators were mostly better in the high-quality concentration groups compared to the low-quality concentration groups （P＜0.05）. CONCLUSIONS SQGB ameliorates CRF by regulating the IL-17 signaling pathway， inhibiting the expression of inflammatory factors， and activating p38 MAPK-dependent apoptosis pathway.

Objective To explore the effect of Polysaccharides of Panax notoginseng(PPN)on anti-exercise fatigue in mice.Methods One hundred male KM mice were randomly divided into negative control group,positive control group and experimental-L,-M,-H groups,with 20 cases per group.Experimental-L,-M,-H groups was given 100,200,400 mg·kg-1 PPN,respectively;positive control group was given 200 mg·kg-1 vitamin C;negative control group was given 0.1 mL·10 g-1 0.9％NaCl.Five groups were gavaged once a day for 28 days.After the last administration,the loaded swimming time was measured;after 90 minutes of the unloaded swimming test,the mice were allowed to rest for 30 minutes,the levels of lactic acid(LD),blood urea nitrogen(BUN),glycogen,and malondialdehyde(MDA)were measured,the safety of PPN with organ indices and histopathology.Results LD levels in negative control group,positive control group and experimental-L,-M,-Hgroupswere(4.76±0.84),(2.86±0.34),(3.00±0.69),(2.35±0.65)and(1.39±0.48)mg·kg-1;BUN contents were(13.65±1.25),(12.55±0.91),(12.12±1.24),(11.06±1.30)and(9.85±1.05)mmol·L-1;liver glycogen contents were(3.24±0.56),(11.11±2.16),(5.61±1.41),(6.60±1.49)and(12.05±2.25)mg·g-1;MDA levels were(2.36±0.21),(1.23±0.41),(1.93±0.23),(1.73±0.21)and(1.04±0.18)mg prot·mL-1.Compared with negative control group,the differences of above indexes in the positive control group and experimental-L,-M,-H groups were statistically significant(P＜0.05,P＜0.01,P＜0.001).Conclusion PPN can increase exercise endurance in mice and has an anti-fatigue effect.This study provides a theoretical basis for the application of PPN in the field of anti-fatigue research.