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 toxicokinetic differences of 3,4-methylenedioxy-N-methylamphetamine(MDMA)and its metabolite 4,5-methylene dioxy amphetamine(MDA)in rats af-ter single and continuous administration of MDMA,providing reference data for the forensic identifica-tion of MDMA.Methods A total of 24 rats in the single administration group were randomly divided into 5,10 and 20 mg/kg experimental groups and the control group,with 6 rats in each group.The ex-perimental group was given intraperitoneal injection of MDMA,and the control group was given intraperi-toneal injection of the same volume of normal saline as the experimental group.The amount of 0.5 mL blood was collected from the medial canthus 5 min,30 min,1 h,1.5 h,2 h,4 h,6 h,8 h,10 h,12 h after administration.In the continuous administration group,24 rats were randomly divided into the experi-mental group(18 rats)and the control group(6 rats).The experimental group was given MDMA 7 d by continuous intraperitoneal injection in increments of 5,7,9,11,13,15,17 mg/kg per day,respectively,while the control group was given the same volume of normal saline as the experimental group by in-traperitoneal injection.On the eighth day,the experimental rats were randomly divided into 5,10 and 20 mg/kg dose groups,with 6 rats in each group.MDMA was injected intraperitoneally,and the con-trol group was injected intraperitoneally with the same volume of normal saline as the experimental group.On the eighth day,0.5 mL of blood was taken from the medial canthus 5 min,30 min,1 h,1.5 h,2 h,4 h,6 h,8 h,10 h,12 h after administration.Liquid chromatography-triple quadrupole tandem mass spectrometry was used to detect MDMA and MDA levels,and statistical software was employed for data analysis.Results In the single-administration group,peak concentrations of MDMA and MDA were reached at 5 min and 1 h after administration,respectively,with the largest detection time limit of 12 h.In the continuous administration group,peak concentrations were reached at 30 min and 1.5 h af-ter administration,respectively,with the largest detection time limit of 10 h.Nonlinear fitting equations for the concentration ratio of MDMA and MDA in plasma and administration time in the single-administration group and continuous administration group were as follows:T=10.362C-1.183,R2=0.974 6;T=7.397 3C-0.694,R2=0.961 5(T:injection time;C:concentration ratio of MDMA to MDA in plasma).Conclusions The toxicokinetic data of MDMA and its metabolite MDA in rats,obtained through single and continuous administration,including peak concentration,peak time,detection time limit,and the relationship between concentration ratio and administration time,provide a theoretical and data foundation for relevant forensic identification.

Objective To investigate the expression of transcription factor forkhead box protein O(FOXO)genes in gastric cancer tissues and their correlation and clinical significance with Helicobacter pylori(Hp)infection.Methods The expression levels of FOXOs genes(including FOXO1,FOXO3,FOXO4,and FOXO6)were detected by immunohistochemistry in cancer tissues and paracancerous tissues from 41 gastric cancer patients with Hp(-)and 29 gastric cancer patients with Hp(+),as well as in gastric tissues from 30 healthy individuals.The correlation between FOXOs expression and Hp infection,clinical pathological features was analyzed.The relationship between FOXOs expression and survival prognosis of gastric cancer patients was analyzed using the Kaplan-Meier plotter.Results Compared with those in the Hp(-)gastric cancer tissues,the expression levels of FOXO1,FOXO4,and FOXO6 were higher in the Hp(+)gastric cancer tissues(P<0.05).Meanwhile,the expression levels of FOXO1,FOXO3,and FOXO4 in the Hp(+)gastric cancer tissues were lower than that in the paracancerous tissues(P<0.05)and normal tissues(P<0.0001).The expression of FOXOs in gastric cancer tissues was closely correlated with the degree of differentiation,depth of infiltration,lymph node metastasis,and TNM stage of gastric cancer(P<0.05).Meanwhile,FOXO1/3 was associated with the survival prognosis of patients with gastric cancer.Conclusion Hp infection promotes the expression of FOXO1/4/6 in gastric cancer tissues.The high expression of tumor suppressor genes FOXO1/4 may be one of the reasons for better prognosis in Hp(+)gastric cancer patients.FOXOs genes are widely involved in regulating the disease progression of gastric cancer,which has certain value for disease treatment.

Objective To observe the effect of reading man flap in repairing surgical defects of skin and soft tissue tumors of the head and face. Methods A total of 120 patients with surgical defects of skin and soft tissue tumors of the head and face were randomly divided into control group (treated with fatty pedicle flap repair) and study group (treated with reading man flap repair), with 60 cases in each group. The incision healing rate, flap survival rate, flap repair effect, and quality of life were compared between the two groups. Results There were no significant differences in the incision healing rate and flap survival rate between the two groups (P>0.05). Six months after the repair, the scores of flap function, aesthetics and color in both groups improved significantly compared with those before the repair in the same group, and the flap function, aesthetics and color scores of the study group were significantly higher than those of the control group (P < 0.05). Six months after the repair, the scores of material life, social function, psychological function, and physical function dimensions of the Generic Quality of Life Inventory-74 (GQOL-74) in both groups improved significantly compared with those before the repair, and the score of each dimension of the GQOL-74 in the study group was significantly higher than that in the control group (P < 0.05). Conclusion Application of reading man flap in surgical defects of skin and soft tissue tumors of the head and face can improve the flap repair effect and the quality of life of patients, and it is an effective method for repairing skin and soft tissue tumors of the head and face.

Chromatography is one of the most important separation and analytical techniques in production activity and academic research.With the growing demand for applications,the development of targeted separation devices is costly.However,the difficulty of constructing modeling makes it difficult to validate the theoretical studies of chromatography.Three dimensional(3D)printing,as a technology that can fabricate objects by depositing materials from the bottom to up,can custom print complex structures for specific needs,and shows many advantages such as low cost,low waste,high precision,high flexibility and parallel manufacturing,demonstrating great potential in the field of chromatography separations.In recent years,with the rapid development of 3D printing technology,the printing resolution and speed have progressively improved,and the range of printable materials has largely expanded.This has led to preliminary research and application of 3D printing technology in the field of chromatography separation,resulting in brand new discoveries and technological innovations.This article made a comprehensive overview of the latest advancements in research and application of 3D printing technology in separation science,including 3D printed columns,3D printed stationary phase,and 3D printed solid-phase extraction devices.Finally,The prospects and challenges of 3D printing technology in separation science were discussed.

Objective To investigate the amplitude-integrated electroencephalography(aEEG)monitoring results of hospitalized neonates in plateau areas.Methods A retrospective analysis was conducted on 5 945 neonates who were admitted to the Department of Neonatology,Kunming Children's Hospital,and received aEEG monitoring from January 2020 to December 2022.According to the aEEG monitoring results,they were divided into a normal aEEG group and an abnormal aEEG group.The incidence rate of aEEG abnormalities was analyzed in neonates with various systemic diseases,as well as the manifestations of aEEG abnormalities and the consistency between aEEG abnormalities and clinical abnormalities.Results Among the 5 945 neonates,the aEEG abnormality rate was 19.28%(1 146/5 945),with an abnormality rate of 29.58%(906/3 063)in critically ill neonates and 8.33%(240/2 882)in non-critically ill neonates(P<0.05).The children with inherited metabolic diseases showed the highest aEEG abnormality rate of 60.77%(79/130),followed by those with central nervous system disorders[42.22%(76/180)]and preterm infants[35.53%(108/304)].Compared with the normal aEEG group,the abnormal aEEG group had significantly lower age and gestational age,as well as a significantly lower birth weight of preterm infants(P<0.05).Among the 1 146 neonates with aEEG abnormalities,the main types of aEEG abnormalities were sleep cycle disorders in 597 neonates(52.09%),background activity abnormalities in 294 neonates(25.65%),and epileptiform activity in 255 neonates(22.25%),and there were 902 neonates(78.71%)with abnormal clinical manifestations.The sensitivity and specificity of aEEG monitoring for brain function abnormalities were 33.51%and 92.50%,respectively.Conclusions In plateau areas,there is a relatively high rate of aEEG abnormalities among hospitalized neonates,particularly in critically ill neonates and those with smaller gestational ages and younger ages,suggesting a high risk of brain injury.Therefore,routine aEEG monitoring for the hospitalized neonates can help with the early detection of brain function abnormalities,the decision-making in treatment,and the formulation of brain protection strategies.