Objective To investigate the differences in radiation dose during chest CT examinations among children of different age groups and establish dose estimation regression models. Methods Chest CT data from 135 children aged 4 to 15 years were retrospectively collected from the First Affiliated Hospital of Soochow University between January 2022 and December 2023. The children were divided into three age groups: 4-5 years, 6-10 years and 11-15 years. CT scanning parameters (tube voltage, tube current, scan range) and dosimetry parameters including volume CT dose index (CTDI_vol) dose length product (DLP), and size-specific dose estimate (SSDE) were recorded. The Kruskal-Wallis test was used to compare intergroup differences. A Pearson correlation analysis was performed to assess the relationship between age and dose indicators. Both linear and nonlinear regression models were constructed. Results Age showed a weak positive correlation with CTDI_vol (r = 0.27), a moderate positive correlation with DLP (r = 0.60), and a moderate negative correlation with SSDE (r = −0.55). Linear regression analysis revealed that DLP increased with age (y = 117.85 + 9.81x, R² = 0.36), while SSDE decreased with age (y = 12.4 − 0.18x, R² = 0.32). Using orthogonal distance regression, the goodness-of-fit of the nonlinear models for DLP and SSDE significantly improved (R² = 0.99 and 0.94, respectively). Conclusion In pediatric chest CT dose assessment, CTDI_vol underestimates radiation dose compared to SSDE and fails to account for patient body size. The dose estimation models constructed with orthogonal distance regression outperform those established using the least squares method, demonstrating higher fitting accuracy, and can serve as a reference for personalized dose management in pediatric CT examinations.

BACKGROUND: Spicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear. This study was conducted to explore this association. METHODS: This study was performed using the large-scale China Kadoorie Biobank (CKB) prospective cohort of 486,335 participants. The primary outcomes were vascular disease, ischemic heart disease (IHD), major coronary events (MCEs), cerebrovascular disease, stroke, and non-stroke cerebrovascular disease. A Cox proportional hazards regression model was used to assess the association between spicy food consumption and incident vascular diseases. Subgroup analysis was also performed to evaluate the heterogeneity of the association between spicy food consumption and the risk of vascular disease stratified by several basic characteristics. In addition, the joint effects of spicy food consumption and the healthy lifestyle score on the risk of vascular disease were also evaluated, and sensitivity analyses were performed to assess the reliability of the association results. RESULTS: During a median follow-up time of 12.1 years, a total of 136,125 patients with vascular disease, 46,689 patients with IHD, 10,097 patients with MCEs, 80,114 patients with cerebrovascular disease, 56,726 patients with stroke, and 40,098 patients with non-stroke cerebrovascular disease were identified. Participants who consumed spicy food 1-2 days/week (hazard ratio [HR] = 0.95, 95% confidence interval [95% CI] = [0.93, 0.97], P <0.001), 3-5 days/week (HR = 0.96, 95% CI = [0.94, 0.99], P = 0.003), and 6-7 days/week (HR = 0.97, 95% CI = [0.95, 0.99], P = 0.002) had a significantly lower risk of vascular disease than those who consumed spicy food less than once a week ( Ptrend <0.001), especially in those who were younger and living in rural areas. Notably, the disease-based subgroup analysis indicated that the inverse associations remained in IHD ( Ptrend = 0.011) and MCEs ( Ptrend = 0.002) risk. Intriguingly, there was an interaction effect between spicy food consumption and the healthy lifestyle score on the risk of IHD ( Pinteraction = 0.037). CONCLUSIONS Our findings support an inverse association between spicy food consumption and vascular disease in the Chinese population, which may provide additional dietary guidance for the prevention of vascular diseases.
Humans ; Male ; Female ; Prospective Studies ; Middle Aged ; Aged ; Vascular Diseases/etiology* ; Risk Factors ; China/epidemiology* ; Adult ; Proportional Hazards Models ; Cerebrovascular Disorders/epidemiology* ; East Asian People

ObjectiveTo observe the clinical efficacy and possible mechanisms of Xianglian Huazhuo Granules （香连化浊颗粒， XHG） in the treatment of chronic atrophic gastritis with intestinal metaplasia. MethodsA total of 140 patients with chronic atrophic gastritis and intestinal metaplasia were randomly divided into a treatment group and a control group， with 70 cases in each group. The treatment group received 12.5 g of XHG orally， twice daily. The control group received 12.5 g of placebo orally， twice daily. Both groups were treated for 6 months. The traditional Chinese medicine （TCM） symptom scores， pathological types， serum tumor markers of the digestive system， and serum bile acids （TBA）， interleukin-23 （IL-23）， and Dickkopf-related protein 1 （DKK-1） levels were observed before and after treatment. Safety indicators and adverse events were recorded. After treatment， TCM syndrome efficacy and pathological types were evaluated， and patients were followed up for 18 months with gastric endoscopy and pathological results， which were compared with the results after treatment finished. ResultsTwo patients dropped out in the control group， and a total of 168 cases were included in the final analysis， 70 in the treatment group and 68 in the control group. The treatment group showed a significant reduction in TCM symptom scores， serum TBA， IL-23， and DKK-1 levels， and a significant increase in alpha-fetoprotein （AFP）， carbohydrate antigen 125 （CA125）， carbohydrate antigen 199 （CA199） levels； in the control group， carcinoembryonic antigen （CEA）， CA125， CA199 levels significantly increased （P＜0.05 or P＜0.01）； and carbohydrate antigen 242 （CA242） level in both the treatment group and the control group decreased significantly （P＜0.01）. The treatment group had lower TCM symptom scores and lower levels of serum TBA， IL-23， and DKK-1 compared to the control group （P＜0.05）. The effective rate for TCM syndrome efficacy in the treatment group was 80.00% （56/70）， significantly higher than the 20.59% （14/68） in the control group （P < 0.05）. The effective rate for pathological classification in the treatment group was 72.73% （8/11） for mixed intestinal metaplasia， significantly better than 46.15% （6/13） in the control group （P＜0.05）. No adverse events were reported in either group. Among 40 patients who had a follow-up endoscopy after one year， 21 were from the treatment group， of whom 11 showed reduced intestinal metaplasia， 9 showed no significant changes， and 1 had worsened； while 19 patients in the control group had 4 with reduced intestinal metaplasia， 13 with no significant changes， and 2 with worsened conditions. No cancer was detected in either group. The treatment group showed significantly better improvement in intestinal metaplasia on follow-up gastric endoscopy pathology than the control group （P＜0.05）. ConclusionXHG can significantly improve the clinical symptoms in patients with chronic atrophic gastritis and intestinal metaplasia and reduce the degree of mixed intestinal metaplasia. The mechanism may involve lowering serum TBA， DKK-1， and IL-23 levles， thus delaying the progression from inflammation to cancer.

Objective:To investigate the factors affecting the efficacy of 131I treatment for Graves′ disease (GD) and to construct a predictive model for the treatment outcomes of 131I therapy. Methods:Retrospective analysis of the treatment efficacy was performed on 2 190 patients (547 males, 1 643 females, age (42.9±12.4) years) with GD, who received initial 131I treatment in Tianjin Medical University General Hospital between October 2013 and May 2018. Univariate analysis ( χ2 test, et al) and logistic regression were performed to analyze the possible factors affecting the efficacy of 131I treatment. An efficacy prediction model for 131I treatment of GD was constructed, and decision curve analysis (DCA) was used to evaluate the clinical utility of the prediction model. Results:The overall effectiveness rate of 131I treatment for GD patients was 99.95%(2 189/2 190), with a total cure rate of 83.74%(1 834/2 190), among which 94.11%(1 726/1 834) were cured after a single treatment. Pre-treatment thyroid mass was identified as an independent risk factor affecting the efficacy of initial 131I treatment (odds ratio ( OR)=0.983(95% CI: 0.977-0.989), P<0.001). The clinical cure rate was higher in patients who received an adequate dose of 131I compared with that in patients who didn′t receive an adequate dose (79.97%(1 537/1 922) vs 70.52%(189/268); χ2=12.57, P<0.001), but it did not increase the incidence of hypothyroidism within one year. A predictive model was constructed, and it was found that thyroid mass and disease duration had a relatively high impact on the clinical cure rate. The concordance index (C-index) of the predictive model was 0.623(95% CI: 0.593-0.654). DCA indicated that the predictive model offered substantial net benefits across a wide range of probability thresholds. Conclusions:131I treatment is effective in most patients with GD. The predictive model for efficacy of initial 131I treatment developed in this study can assist in evaluating treatment outcomes and help clinicians select the most suitable 131I treatment dose, enhancing clinical decision-making.

The in-depth research of artificial intelligence in the medical field has greatly improved the workflow and diagnostic ability of diagnostic radiology.This article focuses on artificial intelligence technology in the field of interventional medicine,and enumerates its potential application scenarios,including improving image analysis capabilities to assist diagnosis and predict treatment response.It also describes the challenges that need to be overcome for practical application.Finally,with the continuous development of artificial intelligence in interventional medicine,artificial intelligence will further optimize the channels of interventional medicine and bring revolutionary changes to the clinical practice of interventional medicine.

Objective By observing the regulatory effect of Strengthening Spleen and Eliminating Cancer Formula on N6-methyladenosine(m6A)methyltransferase,To explore the effect of Strengthening Spleen and Eliminating Cancer Formula on inhibiting the IRX5 m6A level in colorectal cancer(CRC),the regulatory effect on N6-methyladenosine(m6A)methyltransferase was observed.Methods Clinically,m6A hypermethylated genes in colorectal cancer was analyzed by m6A sequencing of pathological tissues from five CRC patients after radical surgery,looking for protein detection indexes for validation.23 BALB/c nude mice were selected and injected with HCT116 cells to establish a nude-mouse transplantation model of human colorectal cancer.They were divided into Model group,Western medicine group(5-fluorouracil group),Chinese medicine group(Jianpi Xiaoai Formula low-dose group,Jianpi Xiaoai Formula high-dose group),with 6 rats in each group,5 rats in control group.The tumor volume of all groups was compared.The overall methylation level of m6A was detected by colorimetric method.The protein expression levels of METTL3,METTL14,and WTAP,in tumor were detected by Western blot.The SRAMP website was used to predict the m6A sites of IRX5.HCT116 cells were treated with oe-NC,oe-METTL3,sh-NC,and sh-METTL3.The expression of IRX5 protein was detected by Western blot.HCT116 cell line was treated with Jianpi Xiaoai Formula drug-containing serum,and transfected with oe-METTL3 and oe-IRX5.The group was set as followed:control group,Jianpi Xiaoai Formula drug-containing serum group,Jianpi Xiaoai Formula drug-containing serum group+oe-NC,Jianpi Xiaoai Formula drug-containing serum group+oe-METTL3,Jianpi Xiaoai Formula drug-containing serum group+oe-IRX5,cell cloning experiment and Transwell experiment were performed to detect cell proliferation,migration and invasion ability of each group.The protein expression levels of METTL3 and IRX5 were detected by Western blot.Results The results of m6A sequencing of genes showed that the m6A methylation level increased in patients with CRC,and the m6A methylation levels of SOX1 and IRX5 were significantly elevated.Compared with the model group,the tumor volume of Jianpi Xiaoyou Formula high-dose group,low-dose group and 5-Fu group decreased significantly(P<0.01),and the tumor inhibition effect was more obvious with the increase of Jianpi Xiaoai Formula concentration(P<0.01).The methylation level of m6A in Jianpi Xiaoai Formula high dose group,low dose group and 5-Fu group decreased significantly(P<0.01).The SRAMP website predicted that IRX5 contained multiple m6A sites.Overexpression of METTL3 promoted the expression of IRX5 protein(P<0.001),while knockdown of METTL3 inhibited the expression of IRX5 protein(P<0.001).The drug-containing serum of Jianpi Xiaoai Formula could inhibit the protein expression of METTL3 and IRX5(P<0.05)and inhibit the proliferation,migration and invasion of HCT116(P<0.01).Overexpression of METTL3 and IRX5 reversed the inhibitory effect of Jianpi Xiaoai Formula on HCT116 evil phenotype(P<0.01).Conclusion Jianpi Xiaoai Formula may inhibit METTL3 expression mediated IRX5 low expression to inhibit the progression of colorectal cancer.

Objective:This study aims to analyze the economic impact of postoperative complications after colorectal cancer surgery.Methods:A retrospective cohort study was conducted. Patients with a preoperative pathological diagnosis of colorectal cancer who met surgical indications and underwent surgical treatment were included, while those with incomplete hospitalization cost data were excluded. From March 2017 to March 2022, three hundred and ninety-two colorectal cancer patients treated at Peking University Cancer Hospital and Institute Gastrointestinal Cancer Center I, were enrolled. Descriptive statistics were performed on the incidence of complications, hospitalization costs, and postoperative length of stay. A cohort was established based on the presence of postoperative complications (POC) and absence of postoperative complications (non-POC) to study economic differences. Propensity score matching analysis was employed to reduce potential confounding factors.Results:Among 392 colorectal cancer patients, 90 (23.0%) developed POC (POC group), while 302 were in the non-POC group. Significant statistical differences were found between the two groups in terms of operation duration, extent of resection, and stoma creation (all P < 0.05); other baseline indicators showed no significant differences (all P>0.05). The median hospitalization cost for patients with postoperative anastomotic leakage was 115 973 yuan, an increase of 38 941 yuan (50.5%) over the non-POC group's 77 059 yuan; the median hospitalization cost for patients with mechanical obstruction was 111 477 yuan, an increase of 34 418 yuan (44.7%) over the non-POC group; and the median hospitalization cost for patients with wound infection was 95 860 yuan, an increase of 18 801 yuan (24.4%) over the non-POC group. The median postoperative length of stay for patients with anastomotic leakage, mechanical obstruction, and wound infection was 22.0 days, 22.0 days, and 18.5 days, respectively, compared to 9.0 days in the non-POC group, extending by 13.0 days, 13.0 days, and 9.5 days. After propensity score matching, each group had 68 patients, and there were no statistically significant differences in preoperative and intraoperative observations between the two groups (all P>0.05); compared to the non-POC group, the hospitali- zation costs in the POC group significantly increased (89 165 yuan vs. 75 437 yuan, P<0.001), and the postoperative length of stay also significantly extended (14.0 days vs. 8.0 days, P<0.001). Conclusions:The occurrence of POC after colorectal cancer surgery significantly increases hospitalization costs and length of stay. This study provides specific and accurate reference data for subsequent health economic decision-making. This is the first detailed economic impact analysis of postoperative complications of colorectal cancer with a large sample size, which includes an economic impact analysis for each POC and subgroup.

OBJECTIVE To explore the optimal parameters of simmered Rhei Radix et Rhizoma and the correlation between the chroma values and the intrinsic composition of simmered Rhei Radix et Rhizoma decoction pieces powder.METHODS The single-factor-response surface method was used to investigate the simmering temperature,simmering time,paper dosage and plant ash dos-age,the response surface experiment was carried out on the basis of the single factor experiment,the appearance traits,total anthraqui-nones,free anthraquinones,leachables,sennoside A and B contents were taken as indicators,the analytic hierarchy process(AHP)was used to give weights to each index,and the process was optimized.The chroma values of raw and simmered products were deter-mined by electronic eye,the correlation and regression analysis were carried out by SPSS22.0 software,and the chroma-component re-gression equation was constructed.RESULTS The optimal process of simmering Rhei Radix et Rhizoma was 140 ℃,5 times of plant ash,2 layers of wet paper wrapped and being simmered for 2.5 h.CONCLUSION The simmering process of Rhei Radix et Rhizoma optimized by AHP combined with response surface method is reasonable and feasible,the color of decoction pieces has a significant correlation with the component content,and the regression equation constructed is reliable,which can predict the intrinsic component content of decoction pieces through chroma values.

BACKGROUND:In recent years,artificial intelligence has been increasingly integrated into the diagnosis and treatment of lumbar disc herniation,enhancing the accuracy and efficiency of diagnostic procedures and diversifying therapeutic approaches.This integration has positioned artificial intelligence as a burgeoning focal point within the field.OBJECTIVE:To provide a comprehensive overview of the current applications of artificial intelligence in the diagnosis and treatment of lumbar disc herniation,to analyze the limitations of the relevant technologies.METHODS:A systematic computer-assisted literature search was performed in PubMed,CNKI,WanFang Database,and VIP Database for relevant publications regarding the application of artificial intelligence in the diagnosis and treatment of lumbar disc herniation from database inception up to August 2024.The search keywords included"lumbar disc herniation,artificial intelligence,machine learning,deep learning,big data,robot,neural network,model,algorithm."A total of 101 articles were selected based on predefined inclusion criteria and were reviewed.RESULTS AND CONCLUSION:Different artificial intelligence technologies have propelled the intelligent treatment of lumbar disc herniation,showing great potential for future development.Deep learning technology,based on advanced algorithms,constructs corresponding learning models to optimize the processing of X-ray,CT,and MRI images,achieving precise localization,identification,and analysis of degenerated intervertebral discs,and improving the accuracy of automated diagnosis.Big data technology utilizes data platforms to analyze vast medical data,simulate disease development trends,and provide a new perspective for disease assessment and prediction.Surgical robots,combined with robotic arms,3D high-definition vision systems,and 5G communication technology,support remote precise surgical operations,demonstrating significant technological advantages.In the future,the diagnosis and treatment of lumbar disc herniation by artificial intelligence will evolve towards standardization,efficiency,and precision through continuous optimization of algorithms and the professional development of data platforms.

Objective To develop a machine learning(ML)-based prediction model for assessing the therapeutic effects of resveratrol(RES)on the pathological damage of acute pancreatitis(AP),and to optimize RES administration strategies for AP through validation using an animal model.Methods AAn ML-based prediction model was constructed using published data.Interpretability analysis was applied to identify high-efficacy zones within the parameter space of administration dose and frequency,which was followed by rigorous screening to select the optimal dosing strategy that balanced therapeutic efficacy and experimental feasibility.A total of 32 C57BL/6 mice were randomly assigned to 4 groups(n=8 per group),including a control group(Ctrl),an AP model group induced by caerulein(CER)and referred to as CER-AP,a treatment group receiving RES via intraperitoneal injection(RES i.p.),and a treatment group receiving RES via intragastric gavage(RES i.g.).The Ctrl group received intraperitoneal injection of normal saline.The CER-AP and the treatment groups were induced with 10 intraperitoneal injections of CER at 50 μg/kg.RES was administered to the RES i.p.and RES i.g.groups according to the optimal dose and timing predicted by the ML model.Blood and tissue samples were collected 12 hours after the experiment started.Results The gradient boosting decision tree model,optimized via Hyperopt,yielded the best performance,predicting that the optimal dose and administration frequency were 19.992 mg/kg and 3.828 times,respectively.Accordingly,a regimen of 20 mg/kg RES,administered four times,was used in the animal experiments.Compared with the Ctrl group,the CER-AP group exhibited higher pancreatic pathology scores and elevated levels of serum amylase,lipase,pancreatic myeloperoxidase,and trypsin,with all differences reaching statistical significance(all P<0.05).The administration of 20 mg/kg RES via both intraperitoneal injection and intragastric gavage mitigated pancreatic inflammatory cell infiltration and necrosis,improved the overall pathology score,and reduced serum amylase,lipase,and pancreatic myeloperoxidase levels to varying degrees(all P<0.05).Conclusion A regimen of 20 mg/kg RES administered four times effectively alleviates the severity of CER-induced AP.The therapeutic benefits appear to arise from a multi-target regulatory network that simultaneously suppresses inflammatory cascades,mitigates oxidative stress,and reduces apoptosis,thereby reducing pancreatic tissue damage and systemic inflammatory responses.