1.Survey on the awareness and clinical application of guidelines for the prevention and treatment of chronic hepatitis B (2022 edition) among clinicians
Yuanyuan KONG ; Yujie GUO ; Yujuan GUAN ; Xuan LIANG ; Zhongjie HU ; Xiaobo LU ; Mingqin LU ; Yongfeng YANG ; Meifang HAN ; Hong YOU ; Zhiyun YANG ; Jidong JIA
Journal of Clinical Hepatology 2025;41(6):1068-1074
ObjectiveTo investigate the awareness and clinical practice of guidelines for the prevention and treatment of chronic hepatitis B (2022 edition) among clinicians. MethodsFrom July 19 to December 31, 2024, a self-designed electronic questionnaire was distributed via the WeChat mini program to collect related data from 1 588 clinicians nationwide, including their awareness and practice based on 18 questions regarding testing and referral, diagnosis and treatment, and follow-up. ResultsAmong all respondents, only 350 clinicians correctly understood all the updated key points of antiviral indications and treatment for special populations in the 2022 edition of guidelines for the prevention and treatment of chronic hepatitis B, with an overall awareness rate of 22.0%. Only 20% — 40% of the patients with positive HBV DNA and an age of >30 years receive antiviral therapy, while 80% — 100% of the patients with positive HBV DNA and a family history of hepatitis B cirrhosis or hepatocellular carcinoma receive antiviral therapy. The median follow-up rates at 1 year, 3 years, and 5 years were 67.5% 57.5% and 47.5%,respectively, showing a trend of gradual reduction, which might be associated with the influencing factors such as insufficient time for follow-up management by clinicians, insufficient awareness of the disease among patients, and poor adherence to follow-up. ConclusionThere is a gap between the awareness and practice of guidelines for the prevention and treatment of chronic hepatitis B (2022 edition) among clinicians. It is recommended to further strengthen training and focus on the whole process of “detection, diagnosis, treatment, and management” for patients with chronic hepatitis B in healthcare institutions, in order to promote the implementation of the guidelines.
2.Analysis of factors affecting fibrosis reversal in patients with metabolic associated steatohepatitis based on magnetic resonance elastography
Ziyi ZHANG ; Chenglin SUN ; Hao REN ; Dawei YANG ; Xinyu ZHAO ; Mengyang ZHANG ; Xiao HAN ; Jingjie ZHAO ; Qianyi WANG ; Yameng SUN ; Xinyan ZHAO ; Jidong JIA ; Zhenghan YANG ; Xiaofei TONG ; Hong YOU
Chinese Journal of Hepatology 2025;33(10):1001-1008
Objective:To dynamically assess liver fibrosis using magnetic resonance elastography (MRE) and explore factors associated with fibrosis reversal in patients with metabolic dysfunction-associated steatohepatitis (MASH).Methods:This study included data from patients diagnosed with MASH by liver biopsy who underwent at least two MRE examinations. Patients were divided into a fibrosis reversal group and a non-reversal group according to whether MRE values decreased by 20% during follow-up. Differences in clinical data between the groups were compared using analysis of variance, the Kruskal-Wallis test, and the chi-square test. Univariate and multivariate logistic regression analyses were used to explore independent risk factors for fibrosis reversal in MASH.Results:A total of 46 cases were included in this study (mean age 50.1±12.3 years, BMI 26.1±3.1 kg/m2). Among them, the reversal group accounted for 26.1%. The rate of decrease in MRI proton density fat fraction (PDFF) was significantly higher in the reversal group (-50.0% vs. -8.1%, P=0.001) than in the non-reversal group between the two MRE examinations. The reversal group showed a more significant change rate of decreases in fasting insulin (-37.3% vs. -3.6%, P=0.011), insulin resistance index (-38.6% vs. -6.5%, P=0.044), and ALP (-24.9% vs. 0, P=0.004). Multivariate logistic regression analysis indicated that the rate of change in MRI PDFF was an independent predictor of fibrosis reversal ( OR=0.96, 95% CI: 0.92-1.00, P=0.046). Conclusion:A decrease in MRI proton density fat fraction levels is independently associated with liver fibrosis reversal in MASH, suggesting that intervention targeting liver fat content may be an effective treatment strategy.
3.Effects of Rhizosphere Organic Acids on Metabolism of Hairy Roots of Salvia miltiorrhiza
Xinyu FU ; Wenying HAN ; Jidong JU ; Bingqian ZHOU ; Guohong YANG ; Xiao WANG ; Lanping GUO ; Wei LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(18):166-174
ObjectiveTo investigate the effects of rhizosphere organic acids secreted by the roots of Salvia miltiorrhiza on continuous cropping obstacles. MethodsThe mixed solution of organic acids in the rhizosphere of S. miltiorrhiza in continuous cropping and rotation cropping was added to the hairy roots subcultured for 21 days, and samples were collected on days 0, 2, 4, 6, 8, and 10. The changes of biomass, effective components, primary metabolites, secondary metabolites, antioxidant enzymes, and hormones in hairy roots of S. miltiorrhiza were observed and determined. ResultsCompared with the rotation cropping group and the blank control group, the simulation of organic acid secretion from the roots of S. miltiorrhiza had a significant inhibitory effect on the growth of hairy roots and decreased the content of effective components as well as total sugar and total protein in primary metabolites. Compared with the blank control group, the rotation cropping group and the continuous cropping group showed total sugar and total protein content decreases of 33.9% and 5.1%, respectively. On the other hand, the secretion of organic acids from S. miltiorrhiza roots significantly promoted the accumulation of total phenolic acids and total tanshinone, which showed increases of 14.6% and 1.6%, respectively, in continuous cropping group and rotation cropping group compared with the blank control group. ConclusionThe organic acid environment under continuous cropping significantly inhibited the growth of hairy roots and the accumulation of primary metabolites, while promoting the synthesis and accumulation of secondary metabolites of S. miltiorrhiza.
4.Artificial intelligence in traditional Chinese medicine: from systems biological mechanism discovery, real-world clinical evidence inference to personalized clinical decision support.
Dengying YAN ; Qiguang ZHENG ; Kai CHANG ; Rui HUA ; Yiming LIU ; Jingyan XUE ; Zixin SHU ; Yunhui HU ; Pengcheng YANG ; Yu WEI ; Jidong LANG ; Haibin YU ; Xiaodong LI ; Runshun ZHANG ; Wenjia WANG ; Baoyan LIU ; Xuezhong ZHOU
Chinese Journal of Natural Medicines (English Ed.) 2025;23(11):1310-1328
Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods*
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Artificial Intelligence
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Humans
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Precision Medicine
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Decision Support Systems, Clinical
5.Study on the influence of definition methods of different isocenter at location stage with CT simulation on the quality of postoperative radiotherapy plan for high-grade gliomas
Bo SUN ; Xingyu CHEN ; Fang LIU ; Dequan PANG ; Qingnan WU ; Yuyan YANG ; Jidong WANG
China Medical Equipment 2025;22(1):7-12
Objective:To compare the influence of definition methods of different isocenter on postoperative volumetric modulated arc therapy (VMAT) plans for patients with high-grade glioma (HGG),and to explore the feasibility of determining the treatment isocenter at location stage of computed tomography (CT) simulation system (CT-Sim). Methods:A total of 30 HGG patients who received radiotherapy after surgery in Peking University International Hospital from September 1,2021 to December 31,2022 were selected. 4 kinds of methods,which included center of mass (CT-COM) of target region of tumor bed was delineated by CT-Sim location stage,geometric center of target region of treatment plan system (TPS-Geo),whole brain geometric center of treatment plan system (TPS-Head) and center of mass of target region of TPS (TPS-COM),were respectively adopted to definite treatment isocenter for each patient,and they were respectively set as CT-COM group,TPS-Geo group,TPS-Head group and TPS-COM group to design 4 groups of VMAT treatment. The parameters included dose,conformity index (CI),uniformity index (HI) and machine unite (MU) among 4 groups of target region and organ at risk (OAR) were compared. Results:The doses of target region and OAR of four groups were similar,and all of them can meet the requirements of clinical dosimetry and clinical OAR dose limitation,without statistically significant differences (P>0.05). The covered volumes that brain tissues received 10,20,30,40 and 50 Gy doses in CT-COM group,TPS-Geo group and TPS-COM group closed to the maximum dose,the maximum dose of 2% volume and mean dose (Dmax,D2%,Dmean) of brainstem,bilateral lens,optic chiasm,bilateral optic nerve and pituitary gland. The V10,V20,V30 of brain tissue,and Dmax,D2%,and Dmean of brainstem in TPS-Head group were slightly higher than those in other three groups,and the Dmean of lens,and Dmax,D2% and Dmean of optic nerve at health side of TPS-Head group were slightly lower than those of other three groups,without statistically significant differences (P>0.05). Conclusion:The four VMAT plans of defining the treatment isocenter can meet the clinical dosimetric requirements,and can determine the isocenter at CT-Sim location stage,which can effectively avoid the occurrence of errors in the reduction of radiotherapy,and increase precision of delivery of radiotherapy dose,and enhance effective utilization rate of equipment.
6.Study on the influence of definition methods of different isocenter at location stage with CT simulation on the quality of postoperative radiotherapy plan for high-grade gliomas
Bo SUN ; Xingyu CHEN ; Fang LIU ; Dequan PANG ; Qingnan WU ; Yuyan YANG ; Jidong WANG
China Medical Equipment 2025;22(1):7-12
Objective:To compare the influence of definition methods of different isocenter on postoperative volumetric modulated arc therapy (VMAT) plans for patients with high-grade glioma (HGG),and to explore the feasibility of determining the treatment isocenter at location stage of computed tomography (CT) simulation system (CT-Sim). Methods:A total of 30 HGG patients who received radiotherapy after surgery in Peking University International Hospital from September 1,2021 to December 31,2022 were selected. 4 kinds of methods,which included center of mass (CT-COM) of target region of tumor bed was delineated by CT-Sim location stage,geometric center of target region of treatment plan system (TPS-Geo),whole brain geometric center of treatment plan system (TPS-Head) and center of mass of target region of TPS (TPS-COM),were respectively adopted to definite treatment isocenter for each patient,and they were respectively set as CT-COM group,TPS-Geo group,TPS-Head group and TPS-COM group to design 4 groups of VMAT treatment. The parameters included dose,conformity index (CI),uniformity index (HI) and machine unite (MU) among 4 groups of target region and organ at risk (OAR) were compared. Results:The doses of target region and OAR of four groups were similar,and all of them can meet the requirements of clinical dosimetry and clinical OAR dose limitation,without statistically significant differences (P>0.05). The covered volumes that brain tissues received 10,20,30,40 and 50 Gy doses in CT-COM group,TPS-Geo group and TPS-COM group closed to the maximum dose,the maximum dose of 2% volume and mean dose (Dmax,D2%,Dmean) of brainstem,bilateral lens,optic chiasm,bilateral optic nerve and pituitary gland. The V10,V20,V30 of brain tissue,and Dmax,D2%,and Dmean of brainstem in TPS-Head group were slightly higher than those in other three groups,and the Dmean of lens,and Dmax,D2% and Dmean of optic nerve at health side of TPS-Head group were slightly lower than those of other three groups,without statistically significant differences (P>0.05). Conclusion:The four VMAT plans of defining the treatment isocenter can meet the clinical dosimetric requirements,and can determine the isocenter at CT-Sim location stage,which can effectively avoid the occurrence of errors in the reduction of radiotherapy,and increase precision of delivery of radiotherapy dose,and enhance effective utilization rate of equipment.
7.Analysis of factors affecting fibrosis reversal in patients with metabolic associated steatohepatitis based on magnetic resonance elastography
Ziyi ZHANG ; Chenglin SUN ; Hao REN ; Dawei YANG ; Xinyu ZHAO ; Mengyang ZHANG ; Xiao HAN ; Jingjie ZHAO ; Qianyi WANG ; Yameng SUN ; Xinyan ZHAO ; Jidong JIA ; Zhenghan YANG ; Xiaofei TONG ; Hong YOU
Chinese Journal of Hepatology 2025;33(10):1001-1008
Objective:To dynamically assess liver fibrosis using magnetic resonance elastography (MRE) and explore factors associated with fibrosis reversal in patients with metabolic dysfunction-associated steatohepatitis (MASH).Methods:This study included data from patients diagnosed with MASH by liver biopsy who underwent at least two MRE examinations. Patients were divided into a fibrosis reversal group and a non-reversal group according to whether MRE values decreased by 20% during follow-up. Differences in clinical data between the groups were compared using analysis of variance, the Kruskal-Wallis test, and the chi-square test. Univariate and multivariate logistic regression analyses were used to explore independent risk factors for fibrosis reversal in MASH.Results:A total of 46 cases were included in this study (mean age 50.1±12.3 years, BMI 26.1±3.1 kg/m2). Among them, the reversal group accounted for 26.1%. The rate of decrease in MRI proton density fat fraction (PDFF) was significantly higher in the reversal group (-50.0% vs. -8.1%, P=0.001) than in the non-reversal group between the two MRE examinations. The reversal group showed a more significant change rate of decreases in fasting insulin (-37.3% vs. -3.6%, P=0.011), insulin resistance index (-38.6% vs. -6.5%, P=0.044), and ALP (-24.9% vs. 0, P=0.004). Multivariate logistic regression analysis indicated that the rate of change in MRI PDFF was an independent predictor of fibrosis reversal ( OR=0.96, 95% CI: 0.92-1.00, P=0.046). Conclusion:A decrease in MRI proton density fat fraction levels is independently associated with liver fibrosis reversal in MASH, suggesting that intervention targeting liver fat content may be an effective treatment strategy.
8.Clinical efficacy of transcatheter arterial chemoembolization combined with lenvatinib and camrelizumab in the treatment of advanced hepatocellular carcinoma
Xuexian ZHANG ; Yuhan DING ; Wei LI ; Qingwei LI ; Jun ZHANG ; Dan DUAN ; Yongle LI ; Jian LONG ; Jidong YANG ; Chenglong ZHANG ; Peng WU ; Huijuan SUN ; Geng WU
Journal of Interventional Radiology 2024;33(1):57-62
Objective To evaluate the safety and efficacy of transcatheter arterial chemoembolization(TACE)combined with lenvatinib and camrelizumab in the treatment of advanced hepatocellular carcinoma(HCC).Methods The clinical data of a total of 63 patients with advanced HCC,who received TACE combined with lenvatinib and camrelizumab(triple therapy)or TACE combined with lenvatinib(dual therapy)at the Jingmen Municipal People's Hospital of China between April 2020 and December 2021,were retrospectively analyzed.Triple therapy group had 30 patients,and dual therapy group had 33 patients.The post-treatment tumor response,disease progression-free survival(PFS),overall survival(OS),and the incidence of adverse drug reactions were recorded.Results The median follow-up period of the two groups was 14 months(range of 4-26 months).Compared with the dual therapy group,in the triple therapy group the objective response rate(ORR)was remarkably higher(83.3%vs.57.6%,P=0.026),the disease control rate(DCR)was obviously higher(93.3%vs.69.7%,P=0.039),the median PFS was significantly longer(8.0 months vs.5.0 months,P<0.01),and the median OS was strikingly longer(24.0 months vs.12.0 months,P=0.004).No statistically significant difference in the incidence of adverse drug reactions existed between the two groups(P>0.05).Conclusion For the treatment of advanced HCC,TACE combined with lenvatinib and camrelizumab is clinically safe and effective.(J Intervent Radiol,2024,32:57-62)
9.Application of Circulating Tumor DNA in Precision Diagnosis and Treatment of Colorectal Cancer
Wentao YANG ; Minghan LI ; Jidong CAI ; Cong LI ; Wang SONG ; Ye XU
Cancer Research on Prevention and Treatment 2024;51(3):157-162
Colorectal cancer (CRC) is one of the most common malignant tumors recorded worldwide. This condition has high morbidity and mortality and seriously endangers people's health. Traditional diagnostic models fail to meet people's current needs for real-time monitoring of tumors. Compared with traditional detection methods, ctDNA detection is not only noninvasive but can also attain real-time detection of comprehensive genomic information of tumors. The advancement of detection technology has gradually highlighted the potential of ctDNA detection in the clinical treatment of CRC. This article reviews the advancements on the clinical application of ctDNA in early screening, minimal residual disease detection, and guidance on individualized treatment of CRC patients.
10.Evaluation of Clinical Benefits of IoT Device Solutions in Operating Rooms
Jing ZHANG ; Yang LIU ; Qiangtian CHEN ; Jidong ZHANG
Chinese Journal of Medical Instrumentation 2024;48(6):645-651
Objective To explore device solutions for the Internet of Things(IoT)to enhance the efficiency of daytime operating rooms and process management in inpatient departments,and to address the issues of frequent and lengthy movements by anesthesiologists and circulating nurses.The study aims to evaluate the impact on surgical patients,determine the benefits of the proposed plan,reduce the duration of surgery for patients,and increase medical staff satisfaction.Methods A comparative experiment was conducted between operating rooms with the implementation of IoT device solutions and those without.Quantitative data recorded were empirically analyzed using the t test.Results The operating room utilizing the IoT solution experienced a reduction in the number and distance of movements by anesthesiologists and circulating nurses,as well as in the time required for surgical documentation,resulting in higher satisfaction levels.Conclusion The use of the IoT plan in the operating room can improve operational efficiency,reduce documentation time,and enhance the work efficiency of anesthesiologists and circulating nurses through real-time data-driven decision-making.

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