Objective:To establish a pure water direct dilution-inductively coupled plasma mass spectrometry (ICP-MS) detection method for rapid determination of urinary iodine.Methods:Pure water was used to directly dilute the urine samples. The washing solution was 5.0 g/L ascorbic acid, the internal standard solution was 5.0 g/L ascorbic acid and 100 μg/L 128Te, the standard solution was prepared with the solution of lyophilized urine iodine biological component analysis reference material. The method was evaluated in terms of linear range, detection limit, quantification limit, precision and method comparision experiment. Results:The linear correlation coefficient of the standard curve for iodine concentration range from 0 to 50.0 μg/L was 0.999 7, with a detection limit of 0.2 μg/L and a quantification limit of 0.6 μg/L. The spiked recovery rates of low, medium, and high concentration iodine standard solutions added to actual urine samples were 100.8%, 99.1% and 99.7%, respectively, with relative standard deviations of 0.8%, 1.3% and 1.6%, respectively. There was no statistically significant difference ( t = - 0.14, P = 0.890) between the results of measuring actual urine and assessment urine using this method and "Determination of Iodine in Urine-Part 2: Inductively Coupled Plasma Mass Spectrometry (WS/T 107.2-2016)". Conclusions:We have successfully established a pure water direct dilution-ICP-MS method for determining urinary iodine. This method provides accurate and highly sensitive results, making it suitable for sudden public health emergencies and large-scale clinical measurement of urinary iodine.

Objective:This study aims to investigate the feasibility and safety of implanting leadless pacemakers in the low septum and its impact on cardiac electrical synchronization.Methods:A total of 36 patients who received leadless pacemaker implantation at Fuwai Central China Cardiovascular Hospital from January 2021 to August 2023 were included in this study.According to implantation sites of leadless pacemakers,patients were divided into mid-septal group(n=16)and low-septal group(n=20).The clinical characteristics and cardiac electrical synchronization were compared between the two groups.Results:There were 21 male patients,mean age was(68±13)years old.There was no statistical difference in the type of brady-arrhythmia between the two groups(P=0.73).There were 61 implant attempts in these 36 patients,and there was no significant difference in the number of attempts,procedure time,and pacemaker parameters between the two groups,but the average procedure time tended to be shorter in the low-septal group([84±37]minutes vs.[105±35]minutes,P=0.09).In terms of electrical synchronization,there was no statistical difference in QRS duration between the low-septal group and the mid-septal group([162.0±21.1]ms vs.[174.0±14.8]ms,P=0.20).There were no vascular puncture complications,cardiac perforation,or pericardial tamponade during the procedure.There were no complications and readmissions related to the leadless pacemaker during follow-up period.Conclusions:Our results show that the implantation of a leadless pacemaker in the low ventricular septum is safe and effective,has a similar impact on cardiac electrical synchronization as mid-septal pacing.

Objective To observe the value of ultrasound convolutional neural network(CNN)model for assisting distinguishment of cervical lymph node lymphoma and atypical reactive hyperplasia.Methods Totally 335 cases of cervical lymph node lymphoma and 335 cases of atypical reactive hyperplasia were retrospectively enrolled,including 520 cases in development group(260 cases of lymphoma and 260 cases of atypical reactive hyperplasia)and 150 cases in validation group(75 cases of lymphoma and 75 cases of atypical reactive hyperplasia).Patients in development group were divided into training set(182 cases of lymphoma and 182 cases of atypical reactive hyperplasia)and test set(78 cases of lymphoma and 78 cases of atypical reactive hyperplasia)at the ratio of 7∶3.One target lymph node was selected for each case,and one gray-scale ultrasound image and one CDFI were included for training,testing CNN models and verifying the auxiliary efficacy of the models.Based on ultrasound images in training set,5 CNN models,including AlexNet,VGG16,ResNet18,DenseNet161 and EfficientNet-B0,were constructed and trained for distinguishing cervical lymph node lymphoma and atypical reactive hyperplasia,and the models were tested in test set to screen out the best one with the highest classification accuracy.The efficacy of the best CNN model for assisting distinguishment of cervical lymph node lymphoma and atypical reactive hyperplasia was observed.Results Among 5 CNN models,the accuracy of ResNet18 model in test set was the highest(78.21％),and ResNet18 model was regarded as the best CNN model,its sensitivity,specificity and accuracy for assisting distinguishment of cervical lymph node lymphoma and atypical reactive hyperplasia were all higher than those of independent diagnosis made by ultrasound physicians(all P＜0.01).Conclusion The constructed ResNet18 model could be used to effectively assist differentiating cervical lymph node lymphoma and atypical reactive hyperplasia.

Objective To explore the expression and significance of cathepsin K(CatheK)and fluorescent oxidation product_400(FlOP_400)in peripheral blood of patients with osteoporosis.Methods A total of 102 patients with osteoporosis in the Department of Endocrinology and Immunol-ogy of Yulin Hospital of the First Affiliated Hospital of Xi'an Jiaotong University from February 2020 to December 2023 were enrolled as osteoporosis group,and 62 healthy volunteers selected as control group.Levels of CatheK,FlOP_400,serum bone metabolism markers,and bone mineral density were detected;the Pearson correlation analysis was used to explore the correlations of CatheK,FlOP_400,bone metabolism markers,with bone mineral density;risk factors associated with osteoporosis were analyzed,and receiver operating characteristic(ROC)curve was plotted to assess the diagnostic val-ues of CatheK and FlOP_400 for osteoporosis.Results The levels of CatheK,FlOP_400,β-cross-laps(β-CTx),and receptor activator of nuclear factor-κB ligand(RANKL)in the peripheral blood of the osteoporosis group were significantly higher than those in the control group,while the levels of serum procollagen type Ⅰ N-terminal propeptide(PⅠNP),osteopontin(OPN),osteocalcin(OC),osteoprotegerin(OPG),and bone mineral density were significantly lower than those in the control group(P＜0.05).The levels of CatheK and FlOP_400 in peripheral blood of patients with osteopo-rosis were significantly positively correlated with β-CTx and RANKL(P＜0.05),and negatively correlated with BMD,PⅠNP,OPN,OC,and OPG(P＜0.05).History of smoking,history of alco-hol consumption,lack of exercise,high CatheK level,and high FlOP_400 level were risk factors for osteoporosis(P＜0.05).The ROC curve showed that the areas under the curve for the diagnosis of osteoporosis by CatheK and FlOP_400 were 0.799 and 0.780 respectively,and the area under the curve for combined diagnosis was 0.889,which was significantly higher than that for individual di-agnosis(P＜0.05).Conclusion The levels of CatheK and FlOP_400 in peripheral blood of pa-tients with osteoporosis are significantly increased and associated with decreased bone mineral densi-ty and abnormal bone metabolism.Combined detection of CatheK and FlOP_400 has high value in the diagnosis of osteoporosis.

Objective To study the effect of wall thickness on the accuracy(trueness and precision)of 3D printed models.Methods The 3D scanning data of the standard gypsum dental arch model was imported into Exocad software.And four sets of models were de-signed,including horseshoe shaped solid model and horseshoe shaped hollow models with different wall thicknesses(2 mm,3 mm,4 mm).On the first and seventh day after printing,the 3D scanning data of resin models were imported into Geomagic software.Deviation analysis were performed on 3D printed models for the root mean square(root mean square,RMS).Results The trueness range of the four groups of printed models on the first day was(34.63±4.17)μm to(45.26±6.50)μm,there was no statistical difference.The pre-cision range was(30.25±10.18)μm to(47.65±14.77)μm,and the precision of the solid group was lower than the other three groups(P＜0.05).The trueness range of the four groups of printing models on the 7th day was(49.00±9.11)μm to(69.25±9.70)μm.The trueness of the 2 mm wall thickness group was lower than that of the solid group and the 4 mum wall thickness group(P＜0.05).Con-clusion The accuracy of printing models with different wall thicknesses was within the clinical acceptance range.There was no statisti-cally significant difference in the trueness values of the four groups of printing models on the first day.The precision value of the solid group was the lowest.On the 7th day,the trueness of the wall thickness of 2 mm group was lower than that of the solid group and the 4 mum wall thickness group.

Objective:To establish a pure water direct dilution-inductively coupled plasma mass spectrometry (ICP-MS) detection method for rapid determination of urinary iodine.Methods:Pure water was used to directly dilute the urine samples. The washing solution was 5.0 g/L ascorbic acid, the internal standard solution was 5.0 g/L ascorbic acid and 100 μg/L 128Te, the standard solution was prepared with the solution of lyophilized urine iodine biological component analysis reference material. The method was evaluated in terms of linear range, detection limit, quantification limit, precision and method comparision experiment. Results:The linear correlation coefficient of the standard curve for iodine concentration range from 0 to 50.0 μg/L was 0.999 7, with a detection limit of 0.2 μg/L and a quantification limit of 0.6 μg/L. The spiked recovery rates of low, medium, and high concentration iodine standard solutions added to actual urine samples were 100.8%, 99.1% and 99.7%, respectively, with relative standard deviations of 0.8%, 1.3% and 1.6%, respectively. There was no statistically significant difference ( t = - 0.14, P = 0.890) between the results of measuring actual urine and assessment urine using this method and "Determination of Iodine in Urine-Part 2: Inductively Coupled Plasma Mass Spectrometry (WS/T 107.2-2016)". Conclusions:We have successfully established a pure water direct dilution-ICP-MS method for determining urinary iodine. This method provides accurate and highly sensitive results, making it suitable for sudden public health emergencies and large-scale clinical measurement of urinary iodine.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Background: and Purpose Limited evidence exists on the effectiveness of endovascular treatment (EVT) for acute posterior circulation tandem lesion (PCTL). This study aimed to explore the role of extracranial vertebral artery (VA) stenting in patients with PCTL stroke undergoing EVT. Methods: Individual patient data were pooled from the BASILAR (EVT for Acute Basilar Artery Occlusion Study) and PERSIST (Posterior Circulation Ischemic Stroke) registries. Patients with PCTLs who underwent EVT were included in the present cohort and divided into the stenting and nonstenting groups based on the placement of extracranial VA stents. The primary efficacy outcome was the modified Rankin Scale (mRS) scores at 90 days and 1 year. Safety outcomes included 24-hour symptomatic intracranial hemorrhage (sICH) and all-cause mortality at 90 days and 1 year post-surgery. Results: A combined dataset of 1,320 patients with posterior circulation artery occlusion, including 263 (19.9%) with tandem lesions, of whom 217 (median age, 65 years; 82.9% male) met the inclusion criteria for the analysis. The stenting group had 84 (38.7%) patients, while the non-stenting group had 133 (61.3%). After adjustment for the potential confounders, extracranial VA stenting was associated with favorable shifts in mRS scores at both 90 days (adjusted common odds ratio [OR], 2.30; 95% confidence interval [CI], 1.23–4.28; P<0.01) and 1 year (adjusted OR [aOR], 2.04; 95% CI [1.05–3.97]; P=0.04), along with lower rate of mortality at both 90 days (aOR, 0.45; 95% CI [0.21–0.93]; P=0.01) and 1 year (aOR, 0.36; 95% CI [0.16–0.79]; P=0.01), with no significant difference in sICH incidence (aOR, 0.35; 95% CI [0.06–1.98]; P=0.24). Conclusion Extracranial VA stenting during EVT may improve functional outcomes and reduce mortality in patients with PCTL strokes.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.