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.

AIM: To prepare a nanodrug MMC-ATS-@PLGA using polylactic acid hydroxyacetic acid copolymer(PLGA)as a carrier and mitomycin C(MMC)loaded on PLGA, and to analyse the biological safety and treatment effect of this nanodrug on inhibiting the proliferation of filtering bleb scarring after glaucoma surgery in vivo.METHODS: The thin-film dispersion hydration ultrasonic method was used to prepare the MMC-ATS-@PLGA, and its physical and chemical properties were detected. The effect of MMC-ATS@PLGA on rabbit corneas was analysed through corneal fluorescence staining and HE staining, and tear film rupture time(BUT), Schirmer test and intraocular pressure data were collected to analyse ocular surface biosafety. A slit lamp was used to observe and calculate the filtration bubble size, and the tissue morphological changes were analysed by conjunctival HE staining. In addition, immunohistochemistry and Elisa were used to compare the anti-inflammatory effects of Flumiolone Eye Drops(FML), MMC, and MMC-ATS-@PLGA nanoparticles on inhibiting the formation of filtering bleb scarring after glaucoma surgery from multiple perspectives via comparative proteomic analysis.RESULTS: The average particle size and zeta potential of MMC-ATS-@PLGA were 128.78±2.54 nm and 36.49±4.25 mV, respectively, with an encapsulation efficiency and a drug loading rate of(78.49±2.75)% and(30.86±1.84)%, respectively. At 33°C(the ocular surface temperature), the cumulative release rate of the MMC-ATS-@PLGA nanoparticles reached(76.58±2.68)% after 600 min. Moreover, corneal fluorescence staining, HE, BUT, Schirmer, and intraocular pressure results showed that MMC-ATS-@PLGA had good biocompatibility with the ocular surface of rabbits. At 3 wk after surgery, the area of filtering blebs in the MMC-ATS-@PLGA group was significantly larger than that in the FML group and MMC group, and the filtering blebs in the control group had basically disappeared. Pathological tissue analysis of the conjunctiva in the filtering blebs area of the eyes of the rabbits revealed that compared with that in the normal group, the morphology of the collagen fibres in the MMC-ATS-@PLGA group was relatively regular, the fibres were arranged neatly, and the tissue morphology was similar to that of the normal group. Immunohistochemistry and Elisa confirmed that compared with those in the normal group, the expression levels of α-SMA, CTGF, and type Ⅲ collagen fibre antibodies were significantly increased in the control group. After FML, MMC, or MMC-ATS-@PLGA treatment for 3 wk, the expression of inflammatory factors gradually decreased. Among the groups, the MMC-ATS-@PLGA group showed the most significant decrease(P<0.05).CONCLUSION: This study successfully synthesized a nanomedicine(MMC-ATS-@PLGA)that inhibits scar proliferation after glaucoma filtration surgery. The drug had stable physicochemical properties, good biocompatibility, and better anti-inflammatory effects by inhibiting the expression of α-SMA, CTGF, and type Ⅲ collagen fibres, which can prevent the formation of scarring in the filtering blebs area, thereby improving the success rate of glaucoma filtering surgery.

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 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.

Although indigenous malaria has been eliminated in Wuhan since 2013,imported malaria remains a potential threat as an infectious source of local malaria transmission.The epidemiological and clinical characteristics of imported malaria are particularly important in areas where local malaria has been eliminated.This study was aimed at analyzing the epidemiological and clinical characteristics of imported malaria in Wuhan from 2012 to 2019,to provide a basis for further improving the preven-tion and control of imported malaria.Patients in Wuhan diagnosed with imported malaria from January 1,2012,to December 31,2019,were included in this study.A case-control study was con-ducted to analyze the features of patients with severe malaria.Uni-variate and multivariate logistic regression was used to identify risk factors for prolonged hospital length of stay(LOS).Among 229 imported malaria cases,212(92.6％)were in Chinese citizens,and most cases were in men(96.5％).The gender ratio is 28:1,and the age of cases is mainly concertrated between 18 and 50 years old(89.1％).More than 80％of patients were mi-grant workers,and most cases were infections from African countries(92.6％).Plasmodium falciparum(80.8％)was the dominant species.Fifty-three severe malaria cases were identified during the study period.Compared with uncomplicated cases,severe cases tended to occur in patients with no history of malaria(P=0.008),patients infected with Plasmodium falciparum(P=0.009),and patients who were initially misdiagnosed(P＜0.001).The median LOS was 6 days,and the species of infec-tion(Plasmodium falciparum),the use of antimalarial drugs(group B),antipyretic time(longer than 3 days),and the turn-around time of blood smear microscopy(longer than 3 days)were significantly associated with longer LOS(all P＜0.05).Al-though malaria has been eradicated in Wuhan for many years,imported cases continue to pose a threat.Efforts should be made to strengthen malaria knowledge education for outbound personnel.Additionally,medical institutions must enhance diagnosis and treatment capabilities for malaria,and adhere to standardized treatment processes,and the development of drug resistance and occurrence of severe malaria must be prevented.

Objective To evaluate the process risk of the implementation of prevention and control measures for surgical site infection(SSI)after colorectal surgery,and explore the application effect of failure mode and effects analysis(FMEA)based on action priority.Methods FMEA based on action priority was adopted to evaluate the whole process of the implementation of prevention and control measures for SSI after colorectal surgery.Prioritiza-tion ranking was conducted according to whether optimized measures were taken.Standard-reaching rate of comp-liance to SSI prevention and control measures as well as SSI incidence before and after the implementation of FMEA were compared.Results After evaluation,there were 7 high-priority and 22 medium-priority prevention and control measures for SSI.The control of medium-priority measures was strengthened,with a focus on developing further preventive and detectable measures for high-priority measures.The re-evaluation results after improvement showed that 7 high-priority measures have been downgraded to medium priority,and 16 medium-priority measures have been downgraded to low priority.Standard-reaching rate of compliance to SSI prevention and control measures in-creased from 77.15％(2 566/3 326)to 92.47％(3 096/3 348),and SSI incidence decreased from 6.04％(58/960)to 2.54％(60/2 364).Conclusion Application of FMEA based on action priority can effectively evaluate the risk of prevention and control process of SSI after colorectal surgery,and adopting preventive risk control measures accord-ing to the current situation can reduce the incidence of SSI after colorectal surgery.