Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Sleep disorders have a high incidence rate in patients with end-stage renal disease(ESRD)and severely affect their quality of life.As the most effective treatment for ESRD,kidney transplantation can significantly improve renal function and prolong survival of patients.However,clinical observations have found that 19.3%to 78.0%of kidney transplant recipients still experience persistent various sleep disorders,such as insomnia,sleep-related breathing disorders and sleep-related movement disorders after surgery.These sleep disorders not only lead to impaired daytime function but are also closely related to adverse outcomes such as cardiovascular complications and increased infection risks.Currently,research on the pathogenesis of sleep disorders in kidney transplant recipients is still insufficient,and clinical diagnosis and treatment face many challenges.This article systematically reviews the epidemiological characteristics,pathophysiological mechanisms,clinical impacts,and new developments in the diagnosis and treatment of sleep disorders in kidney transplant recipients.It aims to provide evidence-based support for clinicians and promote the establishment of more comprehensive early screening and individualized treatment plans to improve the long-term prognosis of recipients.

Objective To investigate the potential value of a deep learning(DL)model based on non-contrast CT images in predicting contrast medium extravasation in contrast-enhanced CT scans of tumor patients.Methods A total of 298 tumor patients were retrospectively selected,including 90 patients with extravasation and 208 without extravasation,and divided into training set(207 patients),validation set(46 patients),and external test set(45 patients)in a ratio of 7︰1.5︰1.5.U-Net was employed to segment the right common carotid artery/internal jugular vein and right subclavian artery/vein in non-contrast CT images,and ResNet50 was utilized to extract imaging features to construct the DL model,which was subsequently integrated with independent clinical predictors to establish the combined model.The segmentation performance of the DL model was evaluated using Dice similarity coefficient(DSC)and Intersection over Union(IoU),while the area under the curve(AUC),accuracy,sensitivity,and specificity of the model were calculated.Results The DL model demonstrated superior vascular segmentation(DSC 0.81-0.95,IoU 0.79-0.90).The combined model achieved optimal predictive performance,with AUC of 0.961[95%confidence interval(CI)0.924-0.983],0.949(95%CI 0.840-0.992),and 0.891(95%CI 0.762-0.964)in the training,validation,and external test sets,respectively.Its accuracy,sensitivity,and specificity were consistently higher than those of the standalone clinical model.Conclusion The DL model based on non-contrast CT images shows significant potential value in predicting contrast medium extravasation risk in tumor patients,providing an objective and intelligent tool for clinical risk assessment.

Objective:To establish a method for determination of fluoride in water using a fully automated biochemical analyzer (abbreviated as this method).Methods:Based on the parameters of the fully automatic biochemical analyzer, appropriate reagent volumes and reaction time were optimized to determine fluoride ions in water within the standard curve range (0.0 - 2.0 mg/L). The method was validated through evaluation of linear range, detection limit, precision, accuracy, and comparative analysis with the manual measurement results of fluoride reagent spectrophotometric method specified in the "Standard Examination Methods for Drinking Water - Part 5: Inorganic Nonmetallic indices" (GB/T 5750.5-2023).Results:Within the range of 0.0 - 2.0 mg/L fluoride mass concentration, the absolute values of the correlation coefficients were > 0.999 0 and the detection limit of this method was 0.082 mg/L. The relative standard deviation for the determination of fluoride level in water samples with low, medium and high fluoride mass concentrations was 4.03%, 2.16% and 1.68%, respectively. The spiked recovery rates were 98.1%, 99.5%, and 100.2%, respectively. There was no statistically significant difference between the results obtained by this method and manual measurement ( t = 1.07, P = 0.295). Conclusion:This method exhibits high sensitivity, accuracy, and efficiency in detecting fluoride, enabling rapid sample detection through instrumental automation instead of manual operation.

Objective:To evaluate the safety and oncological outcomes of robot-assisted laparoscopic inferior vena cava(IVC)segmental resection in renal tumor with IVC tumor thrombus(IVCTT).Methods:Clinical data from renal tumor patients undergoing robot-assisted laparoscopic IVC segmental resection at Peking University Third Hospital from Jan.2021 to Feb.2025 were retrospectively analyzed.Data collection included baseline demographics,tumor characteristics,perioperative parameters,and follow-up outcomes.Surgical records and pathological reports were retrieved from the electronic medical record system.Continuous variables were presented as median(P25,P75),and categorical variables as frequency(percentage).Results:Forty-four patients were enrolled.The cohort comprised 31 malesand 13 females,with a median age of 62(55,68)years.Right-sided tumors were observed in 39 cases and left-sided in 5 cases.Median tumor diameter was 8.1(6.1,10.1)cm.Mayo classifications included grade Ⅱ(n=37),Ⅲ(n=6),and Ⅳ(n=1).Neoadjuvant therapy was administered to 23 patients.Seventeen patients were complicated by IVC bland thrombus.Median operative time was 224.0(167.3,303.8)min,with intraoperative blood loss of 500.0(300.0,850.0)mL.Transfusion was administered to 19 patients,with a median blood transfusion of 800.0(400.0,1 200.0)mL.Postoperative complica-tions occurred in 25 cases(56.8％),classified as Clavien-Dindo grade Ⅰ(n=8)and grade Ⅱ(n=17).Procedure-specific complications included deep vein thrombosis(n=6),transfusion-requiring ane-mia(n=5),lower extremity edema(n=2),and pulmonary embolism(n=2),with no procedure-related mortality.Median postoperative serum creatinine was 116.0(86.5,157.5)μmnol/L.Pathological examination identified clear cell renal cell carcinoma as the predominant subtype,observed in 34 cases(77.3％).Pathological staging revealed T3b(n=12),T3c(n=29),and T4(n=3)disease,with nodal involvement(N1)in 8 cases and distant metastasis(M1)in 17.At a median follow-up of 10 months(range:1-49 months),cancer-specific mortality occurred in 3 patients,while 1 succumbed to other causes.Disease progression included pulmonary metastasis(n=5),hepatic metastasis(n=4),and local recurrence(n=4).Adjuvant therapy regimens comprised targeted-immunotherapy combina-tions(n=9)and targeted monotherapy(n=18).Conclusion:Robot-assisted laparoscopic I VC seg-mental resection achieves precise thrombus removal with confirmed short-term efficacy in renal tumor with IVCTT,though vigilance against vascular complications remains critical.

Renal cell carcinoma in a transplanted kidney is rare, and partial nephrectomy in transplanted kidney is even more uncommon. A patient with papillary transplanted renal cell carcinoma who underwent partial nephrectomy was reported. The patient was admitted to the hospital due to the discovery of transplanted kidney mass, and the enhanced examination of CTU found a lesion in the upper pole of the transplanted kidney in the right iliac fossa, which may be renal cancer, with a diameter of about 2 cm. After open partial nephrectomy of the transplanted kidney, the postoperative pathology showed that the tumor was papillary renal cell carcinoma. The antirejection drugs were used after surgery. During the follow-up period of 16 months, there was no recurrence of transplanted kidney tumor.

Objective:To explore the clinical characteristics and prognostic factors of primary bladder adenocarcinoma（ACB）.Methods:The clinical data of 33 patients with primary ACB who underwent surgical treatment in the Department of Urology of Peking University Third Hospital from July 2003 to January 2024 were retrospectively analyzed. There were 5 females and 28 males，with an average age of（61.3 ± 11.5）years. Twelve patients had comorbidities（6 hypertension，2 coronary heart disease，5 diabetes mellitus，and 3 cerebrovascular diseases）and 12 had a smoking history. The mean body mass index（BMI）was（24.8 ± 3.2）kg/m 2. The maximum tumor diameter measured by enhanced computed tomography（CT）was（29.7 ± 12.7）mm. The preoperative neutrophil-to-lymphocyte ratio（NLR）was 3.4 ± 3.2，and the systemic immune-inflammation index（SII）was（582 ± 496）× 10 9/L.Patients were divided into two groups according to the surgical approach：the radical cystectomy group（ n = 23）and the bladder-sparing group（ n = 10）. For the radical cystectomy group，there were 19 males and 4 females，with a mean age of（59.9 ± 12.6）years. Five patients had comorbidities（3 hypertension，1 coronary heart disease，1 diabetes mellitus，and 2 cerebrovascular diseases）. Eight patients had a smoking history，with a mean BMI of（25.2 ± 3.5）kg/m 2. The maximum tumor diameter was（33.6 ± 10.9）mm，the preoperative NLR was 3.5 ± 3.5，and the SII was（618 ± 558）× 10 9/L. For the bladder-sparing group，there were 9 males and 1 female，with a mean age of（64.5 ± 8.2）years. Seven patients had comorbidities（3 hypertension，1 coronary heart disease，4 diabetes mellitus，and 1 cerebrovascular diseases）. Four patients had a smoking history，with a mean BMI of（23.5 ± 2.3）kg/m 2. The maximum tumor diameter was（20.7 ± 12.5）mm，the preoperative NLR was 3.1 ± 2.2，and the SII was（501 ± 323）× 10 9/L. Statistically significant differences were observed between the two groups in terms of comorbidities（ P = 0.008）and maximum tumor diameter（ P = 0.006），while no significant differences were found in other data（ P > 0.05）. The Kaplan-Meier survival curve was drawn，and Cox regression was used to analyze the prognostic factors of progression-free survival（PFS）and overall survival（OS）of patients. Results:Among the 33 patients，low-grade adenocarcinoma and high-grade adenocarcinoma accounted for 60.6% and 39.4% respectively according to the postoperative pathology，and 3 patients had positive surgical margins. There were 22 cases of muscle-invasive bladder adenocarcinoma，5 cases of lymph node metastasis，and 1 case of distant metastasis. The patients in tumor stages Ⅰ—Ⅳ were 9 cases（27.3%），8 cases（24.2%），7 cases（21.2%），and 9 cases（27.3%）respectively. Nine patients received postoperative adjuvant therapy，including 6 with adjuvant chemotherapy，2 with adjuvant chemotherapy combined with radiotherapy，and 1 with adjuvant immunotherapy. In the radical cystectomy group（ n = 23），there were 13 cases of low-grade and 10 cases of high-grade pathological grading，2 cases with positive margins，19 cases of muscle-invasive bladder adenocarcinoma，5 cases of lymph node metastasis，1 case of distant metastasis，and 5 patients received adjuvant therapy（4 cases of adjuvant chemotherapy，and 1 case of adjuvant immunotherapy）. In the bladder-sparing group（ n = 10），there were 7 cases of low-grade，3 cases of high-grade pathological grading，1 case with positive margins，3 cases of muscle-invasive bladder adenocarcinoma，zero lymph node or distant metastasis，and 4 patients received adjuvant therapy（2 cases of adjuvant chemotherapy，and 2 cases of combined adjuvant chemotherapy and radiotherapy）. A statistically significant difference was found in the proportion of muscle-invasive bladder adenocarcinoma between the two groups（ P = 0.006），while no significant differences were observed in other data（ P > 0.05）.The median follow-up duration of the patients was 28.0 months，the median PFS was 86.0 months，and the median OS was 90.0 months. The 2-year PFS and OS were 65.4% and 73.1% respectively. The 5-year PFS and OS were 54.2% and 56.5% respectively. The Kaplan-Meier survival analysis showed that there were no significant differences in PFS（ P = 0.777）and OS（ P = 0.585）between the radical cystectomy group and the bladder-preserving group. Female（ P = 0.011），BMI < 25 kg/m2（ P = 0.038），and positive surgical margins（ P < 0.01）were associated with poorer PFS. Aged ≥ 70 years（ P = 0.003），lymph node metastasis（ P = 0.041），and positive surgical margins（ P = 0.025）were associated with poorer OS，and patients in the adjuvant therapy group had better OS（ P = 0.005）. Multivariate Cox regression analysis indicated that positive surgical margins（HR 10.2， P = 0.012）were an independent impact factor for PFS，and positive surgical margins（HR 39.8， P = 0.001）and adjuvant therapy（HR 0.12， P = 0.021）were independent impact factors for OS. Conclusions:Positive surgical margins and adjuvant therapy are independent impact factors for the prognosis of patients with primary ACB.

Objective:To establish a method for determination of fluoride in water using a fully automated biochemical analyzer (abbreviated as this method).Methods:Based on the parameters of the fully automatic biochemical analyzer, appropriate reagent volumes and reaction time were optimized to determine fluoride ions in water within the standard curve range (0.0 - 2.0 mg/L). The method was validated through evaluation of linear range, detection limit, precision, accuracy, and comparative analysis with the manual measurement results of fluoride reagent spectrophotometric method specified in the "Standard Examination Methods for Drinking Water - Part 5: Inorganic Nonmetallic indices" (GB/T 5750.5-2023).Results:Within the range of 0.0 - 2.0 mg/L fluoride mass concentration, the absolute values of the correlation coefficients were > 0.999 0 and the detection limit of this method was 0.082 mg/L. The relative standard deviation for the determination of fluoride level in water samples with low, medium and high fluoride mass concentrations was 4.03%, 2.16% and 1.68%, respectively. The spiked recovery rates were 98.1%, 99.5%, and 100.2%, respectively. There was no statistically significant difference between the results obtained by this method and manual measurement ( t = 1.07, P = 0.295). Conclusion:This method exhibits high sensitivity, accuracy, and efficiency in detecting fluoride, enabling rapid sample detection through instrumental automation instead of manual operation.

Objective:To explore the mechanism of the influence of nitrate on the determination of calcium content in pitavastatin calcium by flame atomic absorption spectrometry.Methods:By comparing the absorbance of calci-um standard test solutions using hydrochloric acid and nitric acid as solution media,and measuring the changes in calcium absorbance in calcium ion solutions prepared by adding different concentrations of nitric acid using flame atomic absorption spectrophotometry,the relationship between calcium atomization efficiency and calcium ion con-centration,nitrate concentration,and their concentration ratios was explored.Results:Nitrate had a significant effect on reducing the absorbance value of the calcium standard test solution;The degree of interference varied with the concentration of the element calcium in the sample,and was related to the ratio of the concentration of the ele-ment calcium to the concentration of the interfering substance nitrate.Moreover,the interference of nitrate on calci-um affected the slope of the working curve.Conclusion:The interference mechanism of nitrate in the determination of calcium by flame atomic absorption spectrophotometry is due to the decomposition of calcium nitrate formed by ni-trate and calcium into difficult to melt,evaporate,and effectively dissociate calcium oxide at high temperatures,which reduces the atomization efficiency of calcium atoms and results in low absorbance values in the measurement.It is not advisable to select calcium standard stock solutions containing nitric acid when determining calcium containing samples such as pitavastatin calcium,and it is also necessary to be vigilant against the interference of nitrate ions.

Objective:To explore the effect of Shenxianling granules on the pharmacokinetics of ondansetron. Methods:A method for detecting the plasma concentration of ondansetron using highperformance liquid chromatography (HPLC) was established. The reliability of the method was validated through specificity, linear relationship, precision, stability, repeated experiments, and sample recovery rate testing. Thirty six healthy male New Zealand rabbits were randomly divided into 2 groups, with 18 rabbits in each group. Rabbits in the single ondansetron group (single drug group) received intravenous injection of ondansetron 0.92 mg/kg through the ear vein. Rabbits in the Shenxianling granules combined with ondansetron group (combination drug group) were firstly given 575 mg/kg of Shenxianling granules by gavage continuously for 10 days, and on the morning of the 11th day, ondansetron 0.92 mg/kg was intravenously injected. Blood samples were collected before administration and at 5 minutes, 10 minutes, 20 minutes, 30 minutes, 45 minutes, 1 hour, 2 hours, 4 hours, 5 hours, 6 hours, 7 hours, 8 hours, 10 hours and 24 hours after administration of ondansetron. The blood concentration of ondansetron was detected using HPLC method and pharmacokinetic parameters were calculate. Results:Two New Zealand rabbits in the combination drug group developed agitation and cough, and then died on the second and fifth day of gavage, respectively. Therefore a total of 18 and 16 rabbits in the single drug group and the combination drug group completed the experiment, respectively. After ondansetron administration, the plasma concentration of ondansetron increased rapidly in the single drug group and remained at low levels in the combination drug group. From 5 minutes to 10 hours after administration, the plasma concentration of ondansetron at the 13 blood sampling time points in the combination drug group was significantly lower than that in the single drug group, and the differences were statistically significant (all P<0.001). Compared with the single drug group, the plasma clearance half-life of ondansetron in the combination drug group was significantly prolonged, the peak time, peak concentration, concentration at the last time and area under the curve (AUC) were all significantly reduced, and the percen- tage of residual or extrapolated area to the overall AUC, apparent volume of distribution, and clearance/bioavailability ratio were significantly increased; the differences were statistically significant (all P<0.001). Conclusions:There is a significant interaction between Shenxianling granules and ondansetron, leading to a decreased plasma concentration of ondansetron. The mechanism may be related to Shenxianling granules altering the tissue distribution of ondansetron within the body.