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 analyze the clinical characteristics and influential factors of drug-induced liver injury （DILI） in children caused by intravenous azithromycin. METHODS Clinical data of 157 DILI pediatric cases caused by intravenous azithromycin， reported by the Hengshui Adverse Drug Reaction Monitoring Center from January 2015 to January 2025， were collected as the observation group. Clinical data of pediatric patients who received intravenous azithromycin but did not develop DILI during the same period at Hengshui People’s Hospital were collected in a 1∶1 ratio to serve as the control group. The clinical classification， severity and prognosis of DILI in pediatric patients from the observation group were analyzed. Univariate and multivariate Logistic regression analyses were used to screen the independent risk factors for DILI in children caused by intravenous azithromycin. RESULTS Among 157 DILI cases， 92 cases （58.60%） had hepatocellular injury-type， 51 cases （32.48%） had cholestatic-type， and 14 cases （8.92%） had mixed-type. DILI severity was grade 1 in 117 cases （74.52%）， grade 2 in 33 cases （21.02%）， and grade 3 in 7 cases （4.46%）. Liver function had all recovered after stopping medication and symptomatic treatment. Combined with acetaminophen [OR＝3.769， 95%CI （1.615， 8.235）， P＝0.021]， daily dose of azithromycin＞10 mg/kg [OR＝ 2.237， 95%CI （1.075， 4.655）， P＝0.034] were independent risk factors for DILI in children caused by intravenous azithromycin. CONCLUSIONS Hepatocellular injury-type and cholestatic-type are relatively common in children with DILI caused by intravenous azithromycin， with mild severity being predominant and showing a favorable prognosis. Combination with acetaminophen and daily dose＞10 mg/kg are independent risk factors for azithromycin-induced DILI in children.

OBJECTIVE To develop a population pharmacokinetic （PPK） model for mycophenolate mofetil active metabolite mycophenolic acid （MPA） in children with primary IgA nephropathy， explore the factors affecting the pharmacokinetic parameters of MPA， and provide a basis for clinical individualized therapy. METHODS Retrospective collection was conducted on 636 concentrations and clinical data from 47 pediatric patients with primary IgA nephropathy. PPK analysis was carried out by using the nonlinear mixed-effects model； the covariates were tested with a stepwise method. Goodness-of-fit plots， Bootstrap and visual predictive check were employed to evaluate the final model. RESULTS The pharmacokinetics of MPA in children with IgA nephropathy in vivo conformed to the first-order absorption and elimination two-compartment model （objective function value of 3 276.31）. Covariate analysis suggested that body weight and albumin （ALB） levels were significant influencing factors on apparent clearance rate and apparent distribution volume. The typical values of PPK parameters of MPA in the final model were as follows： the central room had a distributed volume of 5.79 L， the clearance rate was 4.06 L/h， the volume of peripheral ventricular distribution was 430.93 L， the clearance rate between compartments was 15.40 L/h， the oral absorption rate constant was 1.29 h－1. After verification， most of the predicted corrected observed concentration points were within the 90% confidence interval of the predicted corrected simulated concentration， indicating that the MPA final model had good predictive performance. CONCLUSIONS The PPK model of MPA in children with primary IgA nephropathy is established in this study， identifying body weight and ALB levels are significant factors affecting MPA metabolism.

Objective To observe the clinical efficacy and safety of Bailing capsules combined with compound ipratropium bromide solution inhalation in the treatment of patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD).Methods AECOPD patients were randomly divided into control group and treatment group.The control group was given compound ipratropium bromide 2.5 mL each time,3 times a day.On the basis of control group,the treatment group was given Bailing capsules 2.5 g,3 times a day,orally.Two groups were treated for 2 weeks.The clinical efficacy,forced vital capacity(FVC),arterial partial pressure of oxygen(PO2),serum levels of tumor necrosis factor-α(TNF-α),soluble intercellular adhesion molecule-1(sIC AM-1),soluble triggering receptor expressed on myeloid cells-1(sTREM-1)and adverse drug reactions were compared between two groups.Results Forty-nine patients were enrolled in both the treatment group and the control group,and no patients dropped out.After treatment,the total effective rates of treatment and control groups were 95.92％(47 cases/49 cases)and 83.67％(41 cases/49 cases)with significant difference(P＜0.05).After treatment,FVC of the treatment and control groups were(2.89±0.41)and(2.66±0.35)L;PO2 were(83.39±8.02)and(76.78±7.55)mmHg;arterial partial carbon dioxide pressure were(48.47±5.11)and(56.02±6.42)mmHg;the levels of TNF-α were(41.14±6.03)and(69.64±8.29)ng·L-1;the levels of sICAM-1 were(327.52±31.19)and(420.20±38.88)μg·L-1;the levels of sTREM-1 were(31.14±3.22)and(38.85±5.29)ng·L-1;the differences were statistically significant(all P＜0.05).The adverse drug reactions in treatment group were nausea and upper abdominal discomfort,which in control group were upper abdominal discomfort.The total incidences of adverse drug reactions in the treatment and control groups were 4.08％and 2.04％,without significant difference(P＞0.05).Conclusion The clinical efficacy of Bailing Capsules combined with compound ipratropium bromide solution inhalation in the treatment of AECOPD patients is better than that of compound ipratropium bromide alone,without increasing the incidence of adverse drug reactions.

Objective To evaluate the pharmacokinetics(PK)of tenofovir alafenamide Fumarate tablets(25 mg)in healthy Chinese subjects after single oral administration to provide a basis for bioequivalence evaluation.Methods Using a single-dose,randomized,open-lable,two-period,two-way crossover design under fasting condition,while three-way crossover design under fed condition,42 healthy subjects respectively for fasting and fed study were enrolled,and randomized into two groups to receive a single dose of test product(T)or reference product(R)25 mg.Plasma concentration of tenofovir alafenamide and tenofovir were determined by liquid chromatography-tandem mass spectrometry(LC-MS/MS)method.The pharmacokinetic parameters were calculated by WinNonlin software(8.1 version)using non-compartmental model,and bioequivalence evaluation was performed for the two preparations.Relevant safety evaluations were performed during the trial.Results The test product and the reference product under fasting study,the main PK parameters of tenofovir alafenamide were as follows:Cmax were(215.17±94.24)and(199.30±71.11)ng·mL-1;AUC0-t were(135.44±71.60)and(123.91±53.82)h·ng·mL-1;the main PK parameters of tenofovir were as follows:Cmax were(7.30±2.27)and(7.12±1.74)ng·mL-1,AUC0-t of tenofovir were(237.16±47.09)and(230.06±43.41)h·ng·mL-1,respectively.The test product and the reference product under fed study,the main PK parameters of tenofovir were as follows:Cmax were(197.69±82.19)and(197.10±110.54)ng·mL-1;AUC0-t were(197.69±82.19)and(197.10±110.54)h·ng·mL-1;the main PK parameters of tenofovir were as follows:CMax were(2.57±1.37)and(2.58±1.31)ng·mL-1;AUC0-t were(227.08±74.33)and(238.51±128.30)h·ng·mL-1,respectively.The 90％confidence interval for geometric mean ratio of Cmax,AUC0-tof T and R under fed condition were between 80.00％-125.00％,respectively.The incidence of adverse events in fasting and fed tests was 21.43％and 30.95％,respectively,and no serious adverse event was reported.Conclusion The test formulation and reference formulation of tenofovir alafenamide fumarate tablets were equivalent and was safe.

Objective To investigate the application value of single nucleotide polymorphism(SNP)linkage analysis based on next-generation sequencing(NGS)technology in preimplantation genetic testing(PGT)of families with autosomal recessive polycystic kidney disease(ARPKD).Methods A family with ARPKD was selected,where the female member had a pregnancy ultrasound revealing polycystic kidney in the fetus.Genetic testing showed compound heterozygous mutations of the polycystic kidney/polycystic liver disease 1 gene(PKHD1),c.10444C>T(paternal)and c.4303del(maternal),with the c.4303del mutation being reported for the first time.Targeting the coding region of the PKHD1 gene,335 high-density tightly linked SNP sites were selected in the upstream and downstream 2M regions using multiplex polymerase chain reaction(PCR)and NGS.The couple′s SNP risk haplotypes carrying gene mutations were constructed.After in vitro fertilization,blastocyst culture was performed.Trophoblastic cells obtained from the biopsy were subjected to whole-genome amplification,and NGS was used for linkage analysis and low-depth chromosomal aneuploidy screening of the embryos.Sanger sequencing was used to verify the results of embryo linkage analysis.Results Among the 6 biopsied embryos,4 were mutation-free and euploid,1 exhibited heterozygous for the mutation and mosaic while another unstable sequencing data,making it impossible to judge.One of the mutation-free and developmentally healthy euploid embryos was implanted into the maternal uterus,resulting in the full-term delivery of a healthy baby.Conclusion Application of NGS-based SNP linkage analysis in PGT can effectively blocking the vertical transmission of ARPKD within families,while avoiding abortion issues caused by aneuploid embryos.This study is also the first PGT report target-ing the PKHD1 gene c.4303del mutation.