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 characteristics and influencing factors of drug-induced liver injury(DILI)associated with the postoperative use of propacetamol,and to provide guidance for rational clinical medication.Methods A retrospective analysis was conducted on hospitalized patients who underwent surgical treatment and were administered propacetamol from January 2022 to June 2024.Cases were screened based on established inclusion and exclusion criteria.Statistical analyses were performed on patients'demographic data,medication information,liver function indicators before and after medication,comorbid conditions,and concomitant medications to assess the incidence and influencing factors of propacetamol-related DILI.A multivariate Logistic regression analysis was conducted to identify related risk factors.Results A total of 7,579 patients were sampled,of which 2,114 met the inclusion criteria.Among them,531 patients(25.1%)experienced DILI,primarily presenting with abnormal liver function indicators.This included elevated alanine aminotransferase in 379 cases(71.4%),elevated aspartate aminotransferase in 197 cases(37.1%),elevated alkaline phosphatase in 209 cases(39.4%),and elevated total bilirubin in 92 cases(17.3%).Univariate analysis revealed that there were significant differences in gender,height,age,weight,body mass index(BMI),duration of propacetamol use,total medication dosage,concomitant use of hepatic-metabolized antibiotics,and history of liver disease between the DILI group and non-DILI group(P<0.05).Multivariate Logistic regression analysis showed that patient gender,BMI,total propacetamol dosage,liver-related diseases,and concomitant use of hepatic-metabolized antibiotics as independent risk factors for DILI(P<0.05).Conclusion The use of propacetamol for postoperative analgesia presents a risk for liver injury,and the risk is particularly pronounced in males,obesity,high-dose dosing,patients with underlying hepatic disease,and comorbid hepatic metabolism of antimicrobial drug use.It is recommended to strengthen the monitoring of liver function in clinical application,strictly control the dosage and duration of treatment,and avoid co-administration with hepatotoxic drugs to ensure the safety of drug use.

Objective:To summarize medication safety assessment tools for clinical nurses both domestically and internationally.Methods:Guided by the Joanna Briggs Institute (JBI) scoping review methodology, a systematic search was conducted across CINAHL, Embase, PubMed, Web of Science, SinoMed, China National Knowledge Infrastructure, and WanFang Data. The search period was from the establishment of database to January 1, 2025. Medication safety assessment tools for clinical nurses were extracted, relevant content was systematically analyzed, and the retrieval results were reported in a standardized manner.Results:A total of 28 studies were included, involving 15 medication safety assessment tools for clinical nurses. Assessment methods employed multidimensional and graded self-assessment formats. Based on evaluation perspectives, these tools were categorized into six types, including operational standardization monitoring, cognitive bias calibration, environmental stress testing, capability threshold identification, reporting barrier analysis, and medication information systems. The assessment tools had high reliability and validity, multiple types, and diverse evaluation perspectives.Conclusions:Researchers should carefully select and use assessment tools based on research characteristics. It is necessary to enhance the autonomy of nursing research on medication safety, develop comprehensive and accurate clinical nurse medication safety assessment tools that are adapted to China's clinical context, and promote the improvement of nurse medication safety.

Objective:To investigate the effect of triglyceride-glucose(TyG) index and alkaline phosphatase(ALP) on brachial-ankle pulse wave conduction velocity(baPWV) in postmenopausal women.Methods:A cross-sectional study was conducted, enrolling 3 483 postmenopausal women who underwent health checkup at Taihu Sanatorium in Jiangsu Province from March 2020 to June 2021. The physical activity, body mass index, systolic blood pressure, diastolic blood pressure, fasting blood glucose, total cholesterol, triglycerides, high-density lipoprotein-cholesterol(HDL-C), low-density lipoprotein-cholesterol(LDL-C), ALP, and baPWV were collected.Results:Age, body mass index, systolic blood pressure, diastolic blood pressure, fasting blood glucose, total cholesterol, and LDL-C levels were significantly lower in the normal baPWV group( n=1 971) than those in the elevated baPWV group( n=1 512; P<0.001). Logistic regression identified the TyG index( OR=1.75) and ALP level( OR=1.20) as independent risk factors for elevated baPWV( P<0.001), besides with age, body mass index, systolic blood pressure, diastolic blood pressure, and regular exercise. Individuals with both high TyG index and elevated ALP had a 2.51-fold higher risk of elevated baPWV(95% CI 2.01-3.14). Adjusted interaction measures(including age, body mass index, systolic blood pressure, diastolic blood pressure, and regular exercise) showed RERI=2.825(95% CI 1.255-3.905), AP=0.348(95% CI 0.180-0.875), and SI=1.657(95% CI 0.628-3.374). Conclusions:The TyG index and ALP levels are independent risk factors for elevated baPWV in postmenopausal women and exhibit an additive interaction effect on arterial stiffness in this population.