Parkinson's disease （PD） is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD，it is urgent to establish a comprehensive and long-term traditional Chinese medicine （TCM） management model. In this paper，the conceptual framework of full-cycle management of PD is preliminarily constructed：based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD，the three-stage syndrome characteristics of the prodromal stage （predominant healthy Qi with subtle pathogenic factors），the early clinical stage （declining healthy Qi with growing pathogenic factors） and the middle and late stages （overwhelming pathogenic factors with deficient healthy Qi） are longitudinally described. Through the syndrome differentiation of visceral manifestations，the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed，while the matching treatment methods and prescriptions were inferred，and the modular scheme of the combining main symptoms，accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications （'variable syndrome'） and PD-related hyperpyrexia syndrome （'critical syndrome'） was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion，and provides new theories and research ideas for individualized and whole-process management of PD in TCM.

Parkinson's disease （PD） is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD，it is urgent to establish a comprehensive and long-term traditional Chinese medicine （TCM） management model. In this paper，the conceptual framework of full-cycle management of PD is preliminarily constructed：based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD，the three-stage syndrome characteristics of the prodromal stage （predominant healthy Qi with subtle pathogenic factors），the early clinical stage （declining healthy Qi with growing pathogenic factors） and the middle and late stages （overwhelming pathogenic factors with deficient healthy Qi） are longitudinally described. Through the syndrome differentiation of visceral manifestations，the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed，while the matching treatment methods and prescriptions were inferred，and the modular scheme of the combining main symptoms，accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications （'variable syndrome'） and PD-related hyperpyrexia syndrome （'critical syndrome'） was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion，and provides new theories and research ideas for individualized and whole-process management of PD in TCM.

AIM: To investigate the application value of pre-treatment tear inflammatory factor levels in predicting therapeutic efficacy for dry eye patients.METHODS:Prospective controlled observational study. A total of 120 patients with dry eye(240 eyes)admitted to our hospital from November 2022 to March 2024 were included. Before dry eye treatment, the levels of inflammatory factors, including interlukin-4(IL-4), IL-6, IL-8, IL-10, IL-12, IL-13, IL-15, IL-18, IL-1β, interferon-γ(IFN-γ), tumor necrosis factor-α(TNF-α), granulocyte-colony stimulating factor(G-CSF), granulocyte-macrophage colony-stimulating factor(GM-CSF), monocyte chemoattractant protein-1(MCP-1)in the tear fluid were detected by ELISA. According to the treatment protocol in the Chinese Expert Consensus on the Treatment of Dry Eye(2020), the patients were given treatments, and the related factors affecting the treatment outcomes of dry eye patients were analyzed.RESULTS:After continuous treatment for 4 wk, all the patients completed follow-up, and they were divided into the markedly effective group(60 patients, 120 eyes)and the ineffective group(60 patients, 120 eyes)based on their therapeutic effects. The markedly effective group had significantly lower pre-treatment levels of IL-6, IL-10, IL-18, IL-1β, and TNF-α than the poor efficacy group(all P<0.05). IL-6(OR=0.994), IL-18(OR=0.998), IL-1β(OR=0.933), and TNF-α(OR=0.998)were independently associated with treatment efficacy(all P<0.05). The nomogram model yielded a C-index of 0.971(95% CI: 0.950-0.993), with calibration curves closely aligned to the ideal curve. The model demonstrated significant predictive value for early therapeutic efficacy(sensitivity=96.67%, specificity=71.67%, cutoff=208, AUC=0.866, 95% CI=0.794-0.952, P<0.001).CONCLUSION:The nomogram model constructed based on the levels of inflammatory factors in dry eye patients before treatment can well predict the treatment effect of patients.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective This study aimed to investigate the association between long-term radon exposure and changes in peripheral blood DNA methylation levels, as well as alterations in the expression of methylation-related regulatory genes (DNMT1, DNMT3A, and MBD2) among underground non-uranium metal miners. Methods Five non-uranium metal mines with varying levels of radon exposure were enrolled in this study. From each mine, 30 underground miners and 30 aboveground workers were randomly recruited. Basic demographic information was collected via a standardized questionnaire, and peripheral venous blood samples were obtained from all participants. An enzyme-linked immunosorbent assay (ELISA) colorimetric method was used to detect peripheral blood DNA methylation levels. Real-time quantitative PCR was used to measure mRNA expression levels of DNMT1, DNMT3A, and MBD2. These indicators were compared between underground and aboveground groups and among underground miners with different radon exposure levels. Multiple linear regression analysis was conducted to examine the associations between cumulative radon dose and two outcomes: peripheral blood DNA methylation levels, and the expression levels of methylation-related regulatory genes in underground miners. Results The average radon concentration in the underground workplaces of the five mines was 4,088 Bq/m³ (range: 116-18,188 Bq/m³), corresponding to an estimated annual effective dose of approximately 25.67 mSv for miners. The average radon concentration in aboveground workplaces was 58 Bq/m³ (range: 28-1796 Bq/m³), equivalent to an annual effective dose of approximately 0.51 mSv for aboveground workers. The average cumulative radon dose of underground miners was approximately 26.56 times that of aboveground workers (Z=−12.469, P<0.001). Compared with the aboveground workers, the peripheral blood DNA methylation level of underground miners was significantly decreased, approximately 0.77 times that of the aboveground group (Z=−2.313，P<0.05), accompanied by decreased expression of DNA methyltransferase genes DNMT1 and DNMT3A, which were 0.83 and 0.68 times those of the aboveground group, respectively (Z=−3.002、−4.190，P<0.01). After adjusting for age, working years, body mass index, smoking status, and alcohol consumption, multiple linear regression analysis revealed two key findings: cumulative radon dose was significantly and inversely correlated with peripheral blood DNA methylation levels (β=−0.752, P<0.001); and cumulative radon dose was significantly negatively associated with the expression of DNMT1 and DNMT3A (β=−0.319, −0.369, P<0.01). Conclusion The reduced DNA methylation levels and downregulated expression of DNA methyltransferase genes in underground miners are closely associated with long-term radon exposure.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective:To evaluate the anti-reflux effect of digestive tract reconstruction using esophageal-tubular gastric asymmetric anastomosis after radical resection of esophageal and esophagogastric junction cancer.Methods:The main steps were as follows:(1)oblique incision of the lower esophagus;(2)curved incision of the tubular anterior gastric wall;(3)the lower end of the esophagus was anastomosed to the tubular gastric incision with a 90-degree torsion; (4)The anterior wall of the anastomosis was reinforced with a transverse-inverted suture,the posterior wall with a folded suture,and the corners of the gastric stump were buried with sutures.The anastomosis operation time,postoperative complications and postoperative hospital stay were recorded;the reconstructed structure and anti-reflux effect of the anastomosis were observed by digestive tract radiography,gastroscopy and follow-up investigation.Results:The Department of Gastrointestinal and Thoracic Surgery of Huaian First People's Hospital, affiliated to Nanjing Medical University, treated 5 patients of esophagogastric junction cancer and 20 esophageal cancer cases between August 2022 and November 2024, including 19 men and 6 women, with a mean age of (66.7±7.4) years. The mean anastomosis time was (35.4±5.9) minutes, the intraoperative blood loss was (117.6±33.4) ml and the mean postoperative hospital stay was(16.6±5.2) days, with no complications such as anastomotic leakage and bleeding. Postoperative digestive tract radiography (Trendelenburg position)showed that all the patients had no contrast reflux,gastroscopy showed no signs of reflux esophagitis and bile reflux gastritis, the anastomosis showed an inverted whiskers valve-like structure. The median follow-up time was (16.8±6.3) months, and all patients had no reflux symptoms such as acid reflux and belching,and no acid suppressive medication was needed.Conclusion:The esophageal-tubular gastric asymmetric anastomosis is a safe and effective antireflux reconstruction technique.

Objective This study aimed to adapt the data-driven Palliative Care Outcomes Collaboration(PCOC)model to the local context and evaluate its feasibility and preliminary effectiveness in a palliative care unit in China,with the goal of informing its broader integration into national palliative care practice.Methods Based on international experience,a localized implementation protocol for the PCOC model was developed through expert con-sultations and a pilot study.The protocol incorporated key elements including organizational and managerial sup-port,team training and capacity building,information system integration,supervision and feedback mechanisms,pro-cess optimization,and data-driven decision-making.From June to December 2023,the protocol was piloted in the palliative care unit of a tertiary cancer hospital in Changsha,China.Implementation outcomes were assessed by comparing patients' urgent care response rates,symptom stability rates,and symptom improvement rates between the first 1～3 months and 4～6 months after implementation.Results During the study period,a total of 355 inpatients were enrolled,with the PCOC assessment achieving full coverage(100％)and a completion rate of 97.78％.There was no statistically significant difference in the urgent needs response rate between the first 1～3 months and the 4～6 months after the implementation of the PCOC model(P=0.533).However,compared to the first 1～3 months af-ter implementation,patients in the 4～6 months period showed significantly higher symptom stability rates for pain,psychological/spiritual issues,and family/caregiver problems,as well as a higher improvement rate for pain(P＜0.05).Conclusion The localized PCOC implementation protocol facilitates standardized assessment and symptom manage-ment,and its application can enhance the quality of palliative care.

Objective:To evaluate the anti-reflux effect of digestive tract reconstruction using esophageal-tubular gastric asymmetric anastomosis after radical resection of esophageal and esophagogastric junction cancer.Methods:The main steps were as follows:(1)oblique incision of the lower esophagus;(2)curved incision of the tubular anterior gastric wall;(3)the lower end of the esophagus was anastomosed to the tubular gastric incision with a 90-degree torsion; (4)The anterior wall of the anastomosis was reinforced with a transverse-inverted suture,the posterior wall with a folded suture,and the corners of the gastric stump were buried with sutures.The anastomosis operation time,postoperative complications and postoperative hospital stay were recorded;the reconstructed structure and anti-reflux effect of the anastomosis were observed by digestive tract radiography,gastroscopy and follow-up investigation.Results:The Department of Gastrointestinal and Thoracic Surgery of Huaian First People's Hospital, affiliated to Nanjing Medical University, treated 5 patients of esophagogastric junction cancer and 20 esophageal cancer cases between August 2022 and November 2024, including 19 men and 6 women, with a mean age of (66.7±7.4) years. The mean anastomosis time was (35.4±5.9) minutes, the intraoperative blood loss was (117.6±33.4) ml and the mean postoperative hospital stay was(16.6±5.2) days, with no complications such as anastomotic leakage and bleeding. Postoperative digestive tract radiography (Trendelenburg position)showed that all the patients had no contrast reflux,gastroscopy showed no signs of reflux esophagitis and bile reflux gastritis, the anastomosis showed an inverted whiskers valve-like structure. The median follow-up time was (16.8±6.3) months, and all patients had no reflux symptoms such as acid reflux and belching,and no acid suppressive medication was needed.Conclusion:The esophageal-tubular gastric asymmetric anastomosis is a safe and effective antireflux reconstruction technique.