OBJECTIVE To study the pharmacokinetic characteristics of antidepressant active components from Jiaotai pills in healthy subjects. METHODS Eight healthy subjects （3 males and 5 females） were recruited and given a single oral dose of 8.55 g of Jiaotai pills. Venous blood samples were collected before administration （0 h） and at intervals from 0.25 to 36.0 hours post- administration. After treating the plasma samples with protein precipitation， the blood concentrations of the antidepressant active ingredients （coptisine， berberine， magnoflorine， and palmatine） in Jiaotai pills were determined using liquid chromatography- tandem mass spectrometry （LC-MS/MS） method. DAS 2.0 software was employed to calculate the pharmacokinetic parameters of healthy subjects [half-life （t1/2）， peak concentration （cmax）， time to peak concentration （tmax）， area under the concentration-time curve （AUC）， and mean residence time （MRT）] using a non-compartmental model. RESULTS After healthy subjects took Jiaotai pills， the drug-time curve of the four antidepressant active ingredients conforms to a two-compartment model and tmax values were similar， with all reaching peak blood concentrations within 2.00 to 4.00 hours post-administration. However， the t1/2 and MRT of coptisine and berberine were significantly longer than that of magnoflorine and palmatine. There were also significant differences in the AUC and cmax among the four antidepressant active ingredients， with magnoflorine exhibiting markedly higher AUC0-t and cmax compared to the other three components. CONCLUSIONS In this study，LC-MS/MS is used to analyze the pharmacokinetic characteristics of the antidepressant active ingredients from Jiaotai pills in healthy subjects， can provide valuable references for the clinical application of Jiaotai pills.

Objective To investigate the current distribution of radiotherapy resources in Gansu Province, evaluate the equity of resource allocation, and provide a scientific basis for optimizing regional resource allocation. Methods A questionnaire survey was carried out to assess radiotherapy resources in medical institutions across Gansu Province, China. The equity of radiotherapy resource distribution and associated disparities were assessed using the Gini coefficient, Lorenz curve, and Theil index. Results A total of 23 medical institutions in Gansu Province provided radiotherapy services, comprising 39 radiotherapy devices and 438 professionals, of whom medical physicists accounted for 16.9%. The radiotherapy frequency was 0.47 cases per thousand population. The Gini coefficients for radiotherapy resource distribution ranged from 0.38 to 0.56 by population and from 0.52 to 0.70 by geography. The Theil index for radiotherapy resources ranged from 1.36 to 3.67. Conclusion Radiotherapy resources in Gansu Province were insufficient, and the capacity of radiotherapy service was suboptimal. The equity of radiotherapy resource allocation by geography was worse than that by population. Therefore, it is imperative to address the shortage of radiotherapy resources, strengthen the professional workforce, enhance the capacity radiotherapy service and resource utilization, optimize resource allocation, and promote regional equity in radiotherapy provision in Gansu Province.

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

Purpose To measure the spatial resolution in MRI quality control testing automatically based on the American College of Radiology(ACR)phantom using the support vector machine(SVM)method,and the feasibility,accuracy and measurement speed of this method are explored.Materials and Methods Quality control tests were performed using eight MRI devices at Beijing Friendship Hospital of Capital Medical University.A retrospective study was conducted on 71 MRI quality control test images collected based on ACR phantoms between 2017 and 2019.The images were preprocessed by binarization,extraction region of interest and so on.An SVM-based classification model was constructed for analyzing the spatial resolution of dot arrays in row and column directions.The dataset was randomly split into a training set and a test set.The generalization performance of the classification model in this study was evaluated through accuracy,precision,recall and F1 score on the test set.Comparing the results of spatial resolution measurements obtained by both manual and automatic method,we demonstrated the feasibility and accuracy of the method.Additionally,the time taken for the automatic spatial resolution measurement was recorded.Results In this study,the proposed method of automatically measuring the spatial resolution of ACR phantom test images using SVM was feasible,high accuracy and short time.In classification performance test,the accuracy of the spatial resolution of the row directional latices was 95%,the precision was 100%.The accuracy of the spatial resolution of the column directional latices was 97%,the precision was 100%.Among the test cases,the results of automatic measurements matched those of manual measurements in 13 out of 14 cases.On average,automatic spatial resolution measurement took 0.158 seconds per case.Conclusion This study achieves automatic measurement of spatial resolution in MRI quality control based on the ACR phantom using SVM method.The method demonstrates high accuracy and fast measurement speeds,holding significant implications for future rapid MRI quality control stability testing.

Purpose To explore an automatic detection method for quality control performance indicators of radio frequency coils based on American College of Radiology(ACR)phantom,and verify its accuracy stability and computational efficiency.Materials and Methods A retrospective study was conducted on 50 quality control images collected based on ACR phantom in Beijing Friendship Hospital,Capital Medical University from May 2017 to July 2019.The measurement and calculation methods of signal noise ratio(SNR),percent image uniformity(PIU)and percent signal ghosting(PSG)were used to automatically calculate the above indicators using a self-designed program in Python.A simple linear regression analysis on the automatically calculated SNR,PSG and PIU values compared to the manually measured results was performed,and Bland-Altman analysis was used to calculate the percentage difference to evaluate the consistency and bias between the performance indicators calculated by the two methods.The time consumption of two detection methods was compared to verify their computational complexity and efficiency.Results There was a strong correlation between the performance indicators SNR,PSG and PIU of radio frequency coils measured and calculated automatically and manually(r=0.991 4,0.992 8 and 0.909 8,all P<0.0001).The Bland-Altman results showed that most of the data fall within the 95%confidence interval and were evenly distributed.In terms of computational complexity and efficiency,compared to the complex manual delineation and calculation of 2-3 minutes per case,automatic detection could simultaneously obtain SNR,PSG and PIU values in less than 1 second.Conclusion The automatic and manual measurement methods have good consistency,and the automatic detection method is easy to operate,which is helpful for the daily quality control work and performance monitoring of radio frequency coils.

Objective:To investigate the uptake patterns of 18F-fluorodeoxy glucose ( 18F-FDG) in the endometrium using positron emission tomography (PET) imaging and to differentiate these from stage IA endometrial cancer. Methods:From September 2022 to April 2024, a prospective inclusion of 354 women without gynecological diseases and no hormone usage who underwent 18F-FDG PET-CT examinations at the affiliated hospital of Qingdao University were set as the physiological group, while a group containing 42 cases of Stage IA endometrial carcinoma was also set. The physiological group was divided into five groups based on the menstrual cycle: menstrual period, proliferative phase, ovulatory phase, secretory phase, and menopausal phase. The images were analyzed using visual and quantitative measurements; quantitative analysis indicators were standardized uptake value maximum (SUVmax) and the region of interest/liver ratio (R/L value). Receiver operating characteristic (ROCs) curve was used to determine the optimal cutoff values for SUVmax and R/L value. A clinical model was established using binary logistic regression, and ROC curves were drawn to evaluate the predictive performance of the model. Results:The uptake of 18F-FDG in the endometrium exhibited cyclical variations throughout different physiological phases, with higher uptakes observed during the menstrual and ovulation phases (SUVmax values of 6.66±3.26 and 3.89±1.21, respectively), which are significantly higher than those in the proliferative phase [median SUVmax of 2.54 (2.02, 3.47)], secretory phase (SUVmax of 2.55±0.86), and menopausal phase [SUVmax median of 2.04 (1.69, 2.29)]. During the menstrual and ovulation phases, the radiotracer accumulation patterns were triangular in 105 cases, oval in 32 cases, and round-like in 2 cases. All 42 cases of endometrial cancer showed 18F-FDG uptake, with radiotracer accumulation patterns being round-like in 17 cases, oval in 10 cases, triangular in 9 cases, and irregular in 6 cases. There were statistically significant differences in the shapes of radiotracer concentration between the menstrual, ovulatory periods, and endometrial carcinoma (both P＜0.001). The SUVmax and R/L values in menstrual period and ovulatory period were significantly lower than that in endometrial carcinoma group ( P＜0.001). During the menstrual phase, the optimal cutoff values for SUVmax and R/L in distinguishing between endometrial and endometrial cancer were 12.59 and 3.81, respectively, with corresponding AUCs of 0.885 and 0.842. After incorporating endometrial uptake morphology into the model, the AUCs was improved to 0.969 and 0.948, respectively. During the ovulatory phase, the optimal cutoff values for SUVmax and R/L were 5.96 and 2.85, respectively, with AUCs of 0.984 and 0.968. After integrating endometrial uptake morphology into the model, the AUCs were increased to 0.999 and 0.998, respectively. Conclusions:The 18F-FDG PET imaging of the endometrium shows higher uptake during the menstrual and ovulatory periods, primarily triangular in shape; endometrial carcinoma uptake is significantly higher than the physiological uptake during the menstrual and ovulatory periods, mainly in circular, oval, and irregular shapes. When SUVmax≥5.96, R/L≥2.85, combined with the physiological cycle of the subjects and the morphological characteristics of the radiotracer concentration, it is possible to effectively differentiate between physiological uptake and Stage IA endometrial carcinoma.

Objective:To analyze the epidemiological characteristics and survival rate of nasopharynx cancer (NPC) in Guangdong Province from 2011 to 2019.Methods:Based on the cancer registry data of Guangdong Province from 2011 to 2019, the crude rate, age-standardized rate (the standard population was the fifth Chinese national census of 2000) and age-specific rate of incidence and mortality of NPC were calculated, and the regional distribution characteristics were also explored. The average annual percentage change (AAPC) of the incidence and mortality rates were analyzed by using Joinpoint regression model. The observed survival rate was estimated by period survival method, and the expected survival rate was calculated by Ederer Ⅱ method.Results:The crude incidence rate and age standardized incidence rate of NPC showed a decreasing trend, and the AAPC was -1.9% and -2.1%, respectively ( P＜0.05). The crude mortality rate and age standardized mortality rate of NPC also showed a decreasing trend, and the AAPC was -4.8% and -4.6%, respectively ( P＜0.05). The incidence and mortality rates are both higher in men than those in women during the nine years. The age-specific incidence rate of NPC reached its peak in the 50-64 years old age group, and the mortality rate reached its peak in the 65-74 years old age group in Guangdong province. In 2019, the age-standardized incidence rate of NPC was 9.49/100 000 (13.89/100 000 in men and 5.19/100 000 in women). The incidence and mortality of NPC varied greatly among different areas, and the areas with highest incidence and mortality rate were both in Zhaoqing. In 2020, the five-year observed survival rate of NPC in Guangdong Province was 67.2%, the 5-year relative survival rate was 75.3% and the 5-year standardized relative survival rate was 68.9%. Conclusions:Both the incidence and mortality rates of NPC in Guangdong province show decreasing trend, and the decreasing level of the mortality rate is higher than that of the incidence rate, but the two rates are still at high levels. The prevention and control work should focus on male, middle-aged and elderly population and Zhaoqing, Zhongshan, Foshan areas.

Objective To evaluate the efficacy and safety of Qixian Tongluo Formula in the treatment of post-cerebral infarction paralysis with kidney deficiency and blood stasis syndrome,and to preliminarily explore the molecular mechanism of Qixian Tongluo Formula in improving impaired motor function from the perspective of cross-kingdom regulation of Chinese medicine microRNA(miRNA).Methods A pragmatic randomized controlled trial was conducted with 102 patients in the recovery period of post-cerebral infarction paralysis with kidney deficiency and blood stasis syndrome in our hospital.Patients were randomly divided into trial group and control group,with 51 cases in each group.The control group received standard Western medicine standard treatment,while the trial group received Qixian Tongluo Formula in addition to the standard treatment,with one dose per day,boiled in water,and taken warm after breakfast and dinner for a course of 2 months.The disability rate was used as the main efficacy indicator,and the incidence of adverse reactions was used as a safety indicator.miRNA from patient serum and Qixian Tongluo decoction were extracted respectively,and high-throughput sequencing was performed.The two sequences were compared to screen out the cross-kingdom gene transfer of Chinese medicine miRNA.Finally,its target genes of miRNA were predicted,and GO function and KEGG pathway enrichment analysis were carried out.Results A total of 67 patients completed the clinical trial,including 36 cases in the trial group and 31 cases in the control group;The disability rate in the trial group(13.9%)was lower than that in the control group(35.5%)(P<0.05);The incidence of adverse reactions was similar between the trial group(7.69%)and the control group(6.06%)(P>0.05);A total of 9530 Qixian Tongluo decoction miRNA sequences were screened,with 150 potentially involved in cross-kingdom gene transfer,including families such as miR-15 and miR-17;According to the target gene prediction of the top 10 miRNAs in cross-kingdom gene transfer of Chinese medicine,345 overlapping target genes were obtained;GO functional enrichment analysis revealed 16 biological processes,7 cellular components,and 2 molecular functions among the top 25 enriched functions,while KEGG pathway analysis mainly focused on the transforming growth factor-βsignaling pathway,neurotrophin signaling pathway,which are closely related to neural repair and functional recovery processes such as glial scar formation and synaptic plasticity after cerebral ischemia.Conclusion Qixian Tongluo Formula can significantly improve the functional independence level of patients with kidney deficiency and blood stasis syndrome in the recovery period of paralysis after cerebral infarction,offering a safe and effective treatment option for these patients;There were a large number of miRNAs in Qixian Tongluo decoction,some of which could cross-kingdom transferred into the human blood circulation,and promote the recovery of motor function in patients with cerebral infarction through multi-target,multi link and multi pathway gene network regulation.This study provides a new idea for subsequent clinical and basic research.

Objective To investigate the diagnostic efficacy of fat fraction(FF)and T2* values of infrapatellar fat pad(IPFP)based on MR mDixon-Quant technique for knee osteoarthritis(KOA),and to analyze their related influencing factors.Methods A total of 178 knee joints from 114 volunteers were included and underwent knee joints X-ray examination and MR mDixon-Quant sequence scanning.The correlation between FF and T2* values of IPFP with gender,age,body mass index(BMI),and K-L grade was analyzed by Spearman's test and multiple linear regression.Receiver operating characteristic(ROC)curves were plotted to assess the diag-nostic efficacy of FF and T2* values for KOA.Results FF value of IPFP was negatively correlated with age,BMI,and K-L grade(r=-0.470,-0.276,-0.679,P＜0.001),and T2* value was also negatively correlated with age,BMI,and K-L grade(r=-0.291,-0.173,-0.505,P＜0.001).Multiple linear regression analysis results showed that only K-L grade had a statistically significant correlation with FF and T2* values(P＜0.001).ROC curve analysis indicated that the area under the curve(AUC)for diagnosing KOA using the FF and T2* values of IPFP were 0.859 and 0.767,respectively,with sensitivity of 0.878 and 0.841,and specificity of 0.719 and 0.573,respectively.The combined diagnosis had an AUC of 0.855,a sensitivity of 0.625,and a specificity of 0.963,improving the diagnostic specificity for KOA.Conclusion FF and T2* values of IPFP can serve as objective imaging indicators for KOA assessment,and their reduction is correlated with the progress of age,BMI,and K-L grade,of which the K-L grade is an independent influencing factor.The combination of FF and T2 can improve the diagnostic specificity of KOA,and provide a quantitative basis for early KOA detection and severity stratification.