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 characteristics of clinical parameters and cytokines in patients with drug-induced liver injury(DILI)caused by different drugs and their correlation with clinical indicators. Method The study was conducted on patients who were up to Review of Uncertainties in Confidence Assessment for Medical Tests(RUCAM)scoring criteria and clinically diagnosed with DILI.Based on Chinese herbal medicine,cardiovascular drugs,non-steroidal anti-inflammatory drugs(NSAIDs),anti-infective drugs,and other drugs,patients were divided into five groups.Cytokines were measured by Luminex technology.Baseline characteristics of clinical biochemical indicators and cytokines in DILI patients and their correlation were analyzed. Results 73 patients were enrolled.Age among five groups was statistically different(P=0.032).Alanine aminotransferase(ALT)(P=0.033)and aspartate aminotransferase(AST)(P=0.007)in NSAIDs group were higher than those in chinese herbal medicine group.Interleukin-6(IL-6)and tumor necrosis factor alpha(TNF-α)in patients with Chinese herbal medicine(IL-6:P<0.001;TNF-α:P<0.001)and cardiovascular medicine(IL-6:P=0.020;TNF-α:P=0.001)were lower than those in NSAIDs group.There was a positive correlation between ALT(r=0.697,P=0.025),AST(r=0.721,P=0.019),and IL-6 in NSAIDs group. Conclusion Older age may be more prone to DILI.Patients with NSAIDs have more severe liver damage in early stages of DILI,TNF-α and IL-6 may partake the inflammatory process of DILI.

Objective To investigate the relationship between single nucleotide polymorphisms(SNPs)in the eNOS gene and genetic susceptibility to systemic lupus erythematosus(SLE)in Hainan.Methods Blood samples were collected from SLE patients(SLE group,n=214)and healthy controls(control group,n=214)from January 2020 to December 2022 at the First Affiliated Hospital of Hainan Medical College and Hainan Provincial People's Hospital.The bases of eNOS gene rs3918188,rs1799983 and rs1007311 loci in each group were detected by SNaPshot sequencing technology.Logistic regression was used to analyze the correlation between genotypes,alleles and gene models(dominant model,recessive model,and overdominant model)of the above 3 target loci of the eNOS gene and genetic susceptibility to SLE.Haplotype analysis was conducted using HaploView 4.2 software to investigate the relationship between haploid and genetic susceptibility to SLE at each site.Results The results of logistic regression analysis revealed that the CC genotype and the C allele at rs3918188 locus were risk factors for genetic susceptibility to SLE(CC vs.AA:OR=2.449,P<0.05;C vs.A:OR=2.133,P<0.001).In recessive model at rs3918188 locus,CC genotype carriers had an increased risk of SLE development compared with AA+AC genotype carriers(OR=2.774,P<0.001).In contrast,in overdominant model at this locus,AC genotype carriers had a decreased risk of SLE occurrence compared with AA+CC genotype carriers(OR=0.385,P<0.001).In addition,polymorphisms of rs1799983 and rs1007311 were not associated with susceptibility to SLE in genotype,allele type and the 3 genetic models(P>0.05).Haplotype analysis revealed a strong linkage disequilibrium between the rs1007311 and rs1799983 loci of the eNOS gene,but no significant correlation was found between haplotype and genetic susceptibility to SLE(P>0.05).Conclusion The CC genotype and C allele at rs3918188 locus of eNOS gene may be risk factors for SLE in Hainan,while the risk of SLE occurrence is reduced in carriers of AC genotype under the overdominant model.

Objective To develop a health belief model(HBM)based adolescent alcohol-related cognition scale to measure adolescent alcohol-related cognition and test its reliability and validity.Methods The adolescents'alcohol-related cognitive scale was developed based on HBM model.By using purposive sampling,three general high schools in Qingpu District,Shanghai were selected.One-third of the classes from grades 10 and 11 in each school were randomly selected,and the students from these classes were surveyed as the research subjects.Exploratory factor analysis and confirmatory factor analysis were used to analyze its reliability(internal consistency reliability and combination reliability)and validity(structural validity,convergent validity,discriminative validity and criterion validity).Results A total of 970 questionnaires were collected,of which 948 were valid,with an effective rate of 97.7%.The adolescents'alcohol-related cognitive scale contained 22 items.Five common factors were extracted from exploratory factor analysis,including perceived susceptibility,perceived severity,perceived benefits,perceived obstacles,and self-efficacy.The cumulative variance contribution rate reached 83.89%.The results of confirmatory factor analysis confirmed the overall fit of the model.The average variance extracted value(AVE)of each dimension was greater than 0.5,and the convergent validity of the model was ideal.The AVE square root of each dimension of the scale was greater than its correlation coefficient,indicating good discrimination validity.Cronbach's α coefficient of the total volume table was 0.892,indicating good overall reliability.Conclusion The adolescents'alcohol-related cognitive scale developed in this study has good reliability and validity,which can be used to measure adolescents'alcohol-related perceptions.

Objective To investigate the effect of long non-coding RNA(lncRNA)lung cancer-related transcript 1(LUCAT1)on the pathogenesis of intrauterine adhesion by regulating the expression of amphiregulin(AREG),to provide a new molecular target for the prevention and treatment of intrauterine adhesions.Methods Real-time quantitative polymerase chain reaction(RTqPCR)was used to determine the mRNA expression levels of lncRNA LUCAT1,fibrotic markers of α-smooth muscle actin(α-SMA)and collagen type Ⅰ alpha 1 chain protein(COL1A1)in samples of intrauterine adhesion tissue and endometrial stromal cell treated with transforming growth factor-β1.Western blot was used to determine the protein expression levels of AREG,α-SMA,COL1A1.Then,si-LUCAT1,pcDNA LUCAT1,si-AREG were transfected into ESC and RT-qPCR was used to detect the mRNA expression levels of lncRNA LUC-AT1 and AREG.Next,si-LUCAT1 and pcDNA LUCAT1 were transfected into ESC and treated these cells with TGF-β1 for 48h,re-spectively.Western blot was used to further detect the protein expression levels of AREG,α-SMA and COL1A1,and cell proliferation and apoptosis were detected by cell proliferation assay and cell apoptosis assay.Results The expression levels of lncRNA LUC AT1,AR-EG and fibrosis markers α-SMA and COL1A1 were upregulated in endometrial tissues from patients with intrauterine adhesion and in ESC that had been treated with TGF-β1.AREG changed with the change of lncRNA LUCAT1,and the expression of lncRNA LUC-AT1did not change significantly after downregulation of AREG,and AREG was positively regulated by lncRNA LUCAT1.During the process of the transformation of ESC into fibroblasts,si-LUCAT1 significantly inhibited the protein expression levels of AREG,α-SMA and COL1A1(P＜0.01),significantly reduced cell proliferation and significantly induced cell apoptosis,the difference was statistically significant(P＜0.001).pcDNA LUCAT1 significantly induced the protein expression levels of AREG,α-SMA and COL1A1,and the difference was statistically significant(P＜0.01).Conclusion LncRNA LUCAT1 promotes the pathogenesis of intrauterine adhesion by up-regulating the expression of AREG.LncRNA LUCAT1/AREG axis may provide novel molecular target for the prevention and treat-ment of intrauterine adhesion.

Objective To explore the risk factors associated with cow's milk protein allergy(CMPA)in infants.Methods This study was a multicenter prospective nested case-control study conducted in seven medical centers in Beijing,China.Infants aged 0-12 months were included,with 200 cases of CMPA infants and 799 control infants without CMPA.Univariate and multivariate logistic regression analyses were used to investigate the risk factors for the occurrence of CMPA.Results Univariate logistic regression analysis showed that preterm birth,low birth weight,birth from the first pregnancy,firstborn,spring birth,summer birth,mixed/artificial feeding,and parental history of allergic diseases were associated with an increased risk of CMPA in infants(P＜0.05).Multivariate logistic regression analysis revealed that firstborn(OR=1.89,95％CI:1.14-3.13),spring birth(OR=3.42,95％CI:1.70-6.58),summer birth(OR=2.29,95％CI:1.22-4.27),mixed/artificial feeding(OR=1.57,95％CI:1.10-2.26),parental history of allergies(OR=2.13,95％CI:1.51-3.02),and both parents having allergies(OR=3.15,95％CI:1.78-5.56)were risk factors for CMPA in infants(P＜0.05).Conclusions Firstborn,spring birth,summer birth,mixed/artificial feeding,and a family history of allergies are associated with an increased risk of CMPA in infants.[Chinese Journal of Contemporary Pediatrics,2024,26(3):230-235]