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.

Since its establishment in 2016, the National Rare Diseases Registry System of China (NRDRS) has accumulated valuable case data and bio-specimen for basic and clinical research on rare diseases in China. However, the emerging challenges in clinical diagnosis and treatment of rare diseases make it unable for data and resource platform to fully meet the diversified needs. Under this backdrop, we have developed a protocol to optimize and upgrade the system based on the core functions of the NRDRS platform. The goal is to leverage intelligent digital technologies to transform NRDRS into a new platform integrating multimodal data and auxiliary diagnostic and treatment functions. It is specified as the development and construction of "one platform and four intelligent tools." Currently, we have upgraded and developed NRDRS platform, intelligent tool for genotype-phenotype analysis of rare diseases, AI-assisted diagnostic tool for rare diseases, remote multidisciplinary diagnosis and teaching tool for rare diseases, drug screening and validation tool for rare diseases. The next step will focus on the promotion of the application of these tools in clinical settings in order to address the issue of severe imbalance in the allocation of resources for the diagnosis and treatment of rare diseases. This article provides an overview of the digital and intelligent upgrades of the NRDRS, the trials in applications in clinical settings, and direction in the future.

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.

BACKGROUND:The landing error scoring system test is a standard for assessing the risk of non-contact injuries and has not yet been developed for Chinese college soccer programs. OBJECTIVE:To establish a test evaluation standard for the landing error scoring system to provide a basis for evaluating the risk of non-contact injuries in college soccer students. METHODS:A prospective cohort study was designed in which 219 athletes from 10 college soccer teams were tested with the standard landing error scoring system,and the subjects were followed up by questionnaires and medical examinations for non-contact injuries of the lower extremities and trunk for 1 year after testing to determine sex differences and assessment criteria for the landing error scoring system test indicators. RESULTS AND CONCLUSION:The total score of the landing error scoring system was(8.22±1.65)points for 219 subjects,(8.29±1.74)for males and(8.07±1.44)for females,with no significant difference between males and females(P>0.05).Within 1 year after the test,the overall injury rate of 219 subjects was 10.05%and the morbidity rate was 15.98%;the injury rate of male subjects with non-contact injury of the lower limbs and trunk was 12.75%and the morbidity rate was 20.13%;the injury rate of female subjects with non-contact injury of the lower limbs and trunk was 4.29%and the morbidity rate was 7.14%.There were no significant differences in the injury rate between men and women(P<0.05).The total score of the landing error scoring system was higher in the injury group than in the non-injury group[(9.50±1.14)vs.(8.08±1.64),P<0.01];for male subjects,the total score of the landing error scoring system was higher in the injury group than in the non-injury group[(9.63±1.12)vs.(8.09±1.73),P<0.01].The area under the curve for the total score of the landing error scoring system was 0.773(P=0.000),which had a diagnostic value for the risk of non-contact injury of the lower extremities and trunk in male subjects,with a best cut-off point of 8.5,sensitivity of 0.842,specificity of 0.623,positive likelihood ratio of 2.233,negative likelihood ratio of 0.254,relative risk factor of 8.400,and odds ratio of 8.816;the total score of the landing error scoring system was not applicable for assessing the risk of non-contact injury of the lower extremities and trunk in female subjects.To conclude,the landing error scoring system test can be used as a criterion to assess the risk of non-contact injury to the lower extremity and trunk in Chinese college male soccer players,with an optimal cut-off point of 8.5.The risk of non-contact injury to the lower extremity and trunk is 8.40 times higher in male athletes with a landing error scoring system test score of≥8.5 than in male athletes with a score of<8.5.

OBJECTIVE To investigate the correlation between gene polymorphisms and adverse drug reaction （ADR） and demands of opioids， aiming to guide personalized opioid analgesic therapy. METHODS The existing evidence-based medical data were adopted to identify gene loci related to the efficacy and ADR of opioid analgesics and select highly relevant single nucleotide polymorphism （SNP） for a clinical case-control study. The study cohort was divided into two evaluation groups： ADR assessment and drug demand assessment. The ADR assessment group included 254 cancer pain patients and was subdivided into the trial subgroup （with ADR） and the control subgroup （without ADR） based on the presence or absence of ADR following opioid usage； the two subgroups included 126 and 128 patients， respectively. The drug demand assessment group included a total of 120 cancer pain patients， who were divided into trial subgroup （equivalent to a daily dose of oral morphine ≥100 mg） and control subgroup （equivalent to a daily dose of oral morphine ＜100 mg） based on the different daily doses of opioid analgesics， with 60 patients in each subgroup. Polymorphism detection of SNP loci in these patients was performed using fluorescence in situ hybridization. SPSS 21.0 software and SNPStats genetic models were employed to compare genetic testing results between subgroups and conduct correlation analyses， aiming to evaluate the association of the selected SNP loci with opioid ADR and drug demand inclinical real-world cases. RESULTS The strongly correlated SNP loci identified were CYP2D6*10（rs1065852，C＞T）， CYP3A5*3（rs776746，A＞G），ABCB1（rs1045642，C＞T）and OPRM1（rs1799971，A＞G）. Genetic testing results indicated that the allele frequency distributions of these SNP loci conformed to Hardy-Weinberg equilibrium. Correlation analysis revealed that in the ADR assessment group， compared with control subgroup， the proportion of patients in trial subgroup with the AA genotype of OPRM1 （rs1799971， A＞G） was significantly higher （P＜0.05）； in the drug demand assessment group， compared with control subgroup， the proportion of patients in trial subgroup with the CC+CT genotype of ABCB1 （rs1045642， C＞T） was significantly higher （P＜0.05）. CONCLUSIONS The AA genotype of OPRM1 （rs1799971， A＞G） is associated with the occurrence of ADR following oxycodone use. Patients with the CC+ CT genotype of ABCB1（ rs1045642， C＞T） require higher doses of opioid analgesics.

Objective To observe the role of the renin-angiotensin system in myocardial injury induced by experi-mental vascular dementia.Methods Eighteen adult male rats were categorized into a normal group,sham group,and modified 2-vessel occlusion group(model).To assess the myocardial injury caused by experimental vascular dementia,immunostaining was conducted to evaluate the interstitial collagen fraction and myocyte cross-sectional ar-ea.The concentrations of angiotensin Ⅱ(Ang Ⅱ)and angiotensin 1-7(Ang1-7)in the serum,as well as the ex-pression levels of angiotensin converting enzyme(ACE),angiotensin converting enzyme 2(ACE2),Ang Ⅱ,Ang1-7,angiotensin type 1(AT1)receptor,and Mas receptor in the myocardium,were assessed.Results Modified 2-vessel occlusion led to pronounced cognitive dysfunction(P＜0.01)and myocardial injury(P＜0.000 1)when compared to the sham and normal groups.Additionally,modified 2-vessel occlusion induced significant upregulation of the ACE/Ang Ⅱ/AT1 receptor axis(P＜0.01)and downregulation of the ACE2/Ang1-7/Mas axis(P＜0.05)of the renin-angiotensin system in the myocardium.Conclusion Myocardial injury in rats with experimental vascu-lar dementia may be related to dysregulation of the renin-angiotensin system.

AIM To investigate the effects of different compatibility ratios and processing method on the content of rutin,isoquercetin,ferulic acid,quercetin,isotoosendanin,kaempferol,toosendanin,α-pinene,trans-anethole in the combination use of Toosendan Fructus and Foeniculi Fructus,and to explore the optimal compatibility ratio for its use.METHODS The analysis of HPLC-DAD was performed on a 30℃thermostatic ZORBAX SB C18 column(4.6 mm×250 mm,5 μm),with the mobile phase comprising of acetonitrile-0.1%phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the use of DAD detector.SPSS 24.0 software was used to analyze the data differences.RESULTS Nine constituents showed good linear relationships within their own ranges(r≥0.999 1),whose average recoveries were 96.19%-103.13%with the RSDs of 1.86%-2.67%.Generally higher total content of nine constituents were detected in the combination use groups when Toosendan Fructus-Foeniculi Fructus were at ratios of 1 ∶ 1,1 ∶ 2,and 2 ∶ 1 than those single uses(P<0.05),and among which the 1 ∶ 1 ratio contributed the highest total content.After salt processing,decreased content of toosendanin and isotoosendanin,α-pinene and trans-anethole(P<0.05,P<0.01)),increased isoquercetin content(P<0.01),and no significant content changes of other ingredients were detected.CONCLUSION Through this method of high accuracy and good reproducibility,we learn that the combination use of Toosendan Fructus and Foeniculi Fructus promotes the dissolution of the nine constituents,and the maximum content is achieved at ratio of 1 ∶ 1.