1.Chinese expert consensus on the diagnosis and treatment of chronic pain after lung surgery with integrated Traditional Chinese and Western medicine (2026 edition)
Jichen QU ; Wentian ZHANG ; Jianqiao CAI ; Zhigang CHEN ; Bin LI ; Wei DAI ; Xiangwu WANG ; Yan LI ; Xiang LÜ ; ; Yongfu ZHU ; Mingran XIE ; Sufang ZHANG ; Lei JIANG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(04):522-534
Chronic post-surgical pain (CPSP) is a common long-term complication following lung surgery. Its high incidence significantly impacts patients’ quality of life and functional recovery, and imposes a substantial socioeconomic burden. This consensus aims to systematically establish a standardized integrated Chinese and Western medicine diagnostic and treatment framework for chronic post-lung surgery pain (CPLSP). Based on the latest domestic and international evidence-based medical research and multidisciplinary clinical experience, the working group comprehensively elaborates on core issues regarding CPLSP, including its definition, epidemiology, pathogenesis, clinical assessment, Western medical treatment, traditional Chinese medicine (TCM) treatment, and integrated strategies. The consensus emphasizes a patient-centered approach, adhering to the principles of multimodality, individualization, and stepwise management, highlighting the synergistic advantages of integrating Chinese and Western medicine throughout the entire perioperative management cycle encompassing "perioperative anti-inflammation, acute analgesia, and chronic rehabilitation." Through systematic literature retrieval and evidence integration, a total of 9 core recommendations were established to provide scientifically sound and clinically practical guidance.
2.Principles, technical specifications, and clinical application of lung watershed topography map 2.0: A thoracic surgery expert consensus (2024 version)
Wenzhao ZHONG ; Fan YANG ; Jian HU ; Fengwei TAN ; Xuening YANG ; Qiang PU ; Wei JIANG ; Deping ZHAO ; Hecheng LI ; Xiaolong YAN ; Lijie TAN ; Junqiang FAN ; Guibin QIAO ; Qiang NIE ; Mingqiang KANG ; Weibing WU ; Hao ZHANG ; Zhigang LI ; Zihao CHEN ; Shugeng GAO ; Yilong WU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(02):141-152
With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.
3.Effect analysis of endolymphatic sac surgery on Meniere’s disease based on propensity score matching
Yu SI ; Shipei ZHUO ; Yan HUANG ; Wuhui HE ; Jingman DENG ; Jintao LOU ; Zhigang ZHANG
Chinese Journal of Clinical Medicine 2025;32(2):165-170
Objective To analyse the clinical efficiency of endolymphatic sac surgery (ESS) in the management of Meniere’s disease (MD). Methods A retrospective analysis was conducted on 274 patients with MD who were hospitalized for treatment in Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University from January 2009 to August 2023. All patients received lifestyle management and drug treatment such as diuretics. For those whose conditions were not well controlled 3 to 6 months after the initial treatment, intratympanic glucocorticoid (ITG) or ESS treatment was carried out. Six months after the treatment, the classes of vertigo relief and hearing changes in the patients were evaluated. After adjusting the confounding factors through propensity score matching (PSM), the impact of ESS on the prognosis of MD patients was evaluated. Results Among 274 patients, 194 and 80 patients underwent ITG and ESS, respectively. Eighty patients were enrolled into each group after PSM. Before and after PSM, the rate of patients reaching vertigo relief class A in ESS group was higher than that in the ITG group (P=0.004); there was no significant difference in hearing preservation between the two groups. Kaplan-Meier curve analysis showed that vertigo relief in the ESS group was better than that in the ITG group (P=0.029); there was no statistically significant difference in hearing preservation between the two groups. Conclusion When the initial treatment for patients with MD is ineffective, choosing ESS is more beneficial than ITG for controlling vertigo.
4.Associations between statins and all-cause mortality and cardiovascular events among peritoneal dialysis patients: A multi-center large-scale cohort study.
Shuang GAO ; Lei NAN ; Xinqiu LI ; Shaomei LI ; Huaying PEI ; Jinghong ZHAO ; Ying ZHANG ; Zibo XIONG ; Yumei LIAO ; Ying LI ; Qiongzhen LIN ; Wenbo HU ; Yulin LI ; Liping DUAN ; Zhaoxia ZHENG ; Gang FU ; Shanshan GUO ; Beiru ZHANG ; Rui YU ; Fuyun SUN ; Xiaoying MA ; Li HAO ; Guiling LIU ; Zhanzheng ZHAO ; Jing XIAO ; Yulan SHEN ; Yong ZHANG ; Xuanyi DU ; Tianrong JI ; Yingli YUE ; Shanshan CHEN ; Zhigang MA ; Yingping LI ; Li ZUO ; Huiping ZHAO ; Xianchao ZHANG ; Xuejian WANG ; Yirong LIU ; Xinying GAO ; Xiaoli CHEN ; Hongyi LI ; Shutong DU ; Cui ZHAO ; Zhonggao XU ; Li ZHANG ; Hongyu CHEN ; Li LI ; Lihua WANG ; Yan YAN ; Yingchun MA ; Yuanyuan WEI ; Jingwei ZHOU ; Yan LI ; Caili WANG ; Jie DONG
Chinese Medical Journal 2025;138(21):2856-2858
5.Graph Neural Networks and Multimodal DTI Features for Schizophrenia Classification: Insights from Brain Network Analysis and Gene Expression.
Jingjing GAO ; Heping TANG ; Zhengning WANG ; Yanling LI ; Na LUO ; Ming SONG ; Sangma XIE ; Weiyang SHI ; Hao YAN ; Lin LU ; Jun YAN ; Peng LI ; Yuqing SONG ; Jun CHEN ; Yunchun CHEN ; Huaning WANG ; Wenming LIU ; Zhigang LI ; Hua GUO ; Ping WAN ; Luxian LV ; Yongfeng YANG ; Huiling WANG ; Hongxing ZHANG ; Huawang WU ; Yuping NING ; Dai ZHANG ; Tianzi JIANG
Neuroscience Bulletin 2025;41(6):933-950
Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans
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Schizophrenia/pathology*
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Diffusion Tensor Imaging/methods*
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Male
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Female
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Adult
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Brain/metabolism*
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Young Adult
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Middle Aged
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White Matter/pathology*
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Gene Expression
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Nerve Net/diagnostic imaging*
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Graph Neural Networks
6.Mutation types of CYP3A enzymes and sex differences in sufentanil metabolism
Ying JIANG ; Zhigang QIN ; Liyuan FENG ; Guanlei LIU ; Jieyu LI ; Xianzhe LIU ; Yongshuai LI ; Yan CHEN ; Peng LI ; Jianteng GU
Journal of Army Medical University 2025;47(6):581-590
Objective To explore the sex differences in drug metabolism of sufentanil in Chinese patients based on the mutation classification of cytochrome P450 3A(CYP3A)enzymes.Methods According to the possible effects of combined cytochrome P450 3A4 gene*1G locus(CYP3A4*1G)and cytochrome P450 3A5 gene*3 locus(CYP3A5*3)mutation groups on Chinese population,we added different weights to CYP3A4*1G and CYP3A5*3 polymorphisms and classified patients into 3 groups:GroupⅠ,patients carried either the CYP3A4*1G/*1G allele or both CYP3A4*1/*1G allele and CYP3A5*3/*3 allele;Group Ⅱ,patients with both CYP3A4*1/*1G allele and CYP3A5*1/*3 allele;Group Ⅲ,patients with either the CYP3A4*1/*1 allele or both CYP3A4*1/*1G allele and CYP3A5*1/*1 allele.A single-dose,double-blind,stratified random sampling was performed,and 255 patients undergoing endoscopic surgery in the First Affiliated Hospital of Army Medical University were finally subjected.According to the results of genetic testing,an independent statistician,before operation,randomly selected 30 patients from each stratified group to form a study cohort(male-female ratio of 1∶1)and named each group A,B or C.Clinical investigators and subjects kept double-blind to the results of grouping and genetic testing.After entering the operating room,the subjected 90 patients received a single dose of sufentanil followed by collection of blood samples at 10 time points including 2 min before and from 2 to 120 min after administration.After the surgery,we determined the plasma drug concentration,calculated the pharmacokinetic parameters,and compared the metabolic differences between different genders in each group and unblinded the study.Results The cohort best fitted the two-compartment pharmacokinetic model,and groups A,B and C corresponded to group Ⅰ,Ⅱand Ⅲ,respectively.In different patient groups based on mutatron types of CYP3A enzymes the females had lower plasma drug concentration-time curves at each time point,higher systemic clearance(P≤0.01)and smaller area under the plasma concentration-time curve from zero to infinity(P<0.05)when compared with the males.In addition,in group Ⅰ,the elimination rate of central compartment and movement rate of drug from central compartment to peripheral compartment were obviously greater in the females than the males(P<0.05),while the distribution half-life(P<0.05)and elimination half-life(P<0.01)were notably longer in the males than the females.In both group Ⅱ and group Ⅲ,the males obtained larger total area under the plasma concentration-time curve than the females(P<0.05).Conclusion There are sex differences in the drug metabolism of sufentanil in Chinese patients.Women show faster distribution and higher clearance of sufentanil while men present greater drug exposure.Preoperative CYP3A genotyping and intraoperative personalized medication are of great significance to ensure the safety in clinical practice.
7.The application of balloon-dilatation covered stents in renal artery stenosis
Zhigang LIU ; Zepeng SHI ; Peishi YAN ; Guifang TAN ; Chunyu YU ; Yong QIAN
Journal of Interventional Radiology 2025;34(12):1316-1320
Objective To rvaluate the therapeutic efficacy of balloon-dilatation covered stents in the treatment of renal artery stenosis(RAS).Methods The clinical data of 30 patients with RAS,who received intravascular ultrasonography(IVUS)-guided LifeStream balloon-dilatation covered stent implantation at the Affiliated Central Hospital of Dalian University of Technology(Dalian Municipal Central Hospital)of China from August 2022 to December 2023,were retrospectively analyzed.The various parameters of the lumen and the stent were measured,and the performance of the stent was evaluated.Results The minimum original blood vessel diameter below the base of the stenotic segment plaque was 5.40(5.17,5.80)mm and the maximum blood vessel diameter was 6.20(5.80,6.93)mm,which became 6.00(5.80,6.00)mm and 7.90(6.00,8.00)mm respectively after stent release,the differences were statistically significant(both P<0.05).Before stent release the luminal eccentricity index was(14.72±9.37)%,which was(1.54±9.16)%after stent release,the difference was statistically significant P<0.05).The instant stent symmetry after stent release was(82.69±14.61)%,and the stent expansion factor was(99.81±10.70)%.Ideal narrow coverage rate was obtained.During operation,poor stent adhesion occurred in 2 patients and renal artery rupture with bleeding occurred in one patient,which were solved after immediate re-expansion treatment.Spearman's correlation analysis showed that stent symmetry,stent expansion factor,and stent eccentricity index did not linearly correlate with the lumen cross-sectional area stenosis rate and the plaque eccentricity index(all P>0.05).Conclusion For the treatment of RAS,the LifeStream balloon-dilatation covered stent is clinically safe,feasible,and effective with satisfactory immediate clinical outcomes.
8.Visualization of nasal powder distribution using biomimetic human nasal cavity model.
Jiawen SU ; Yan LIU ; Hongyu SUN ; Abid NAEEM ; Huipeng XU ; Yue QU ; Caifen WANG ; Zeru LI ; Jianhua LU ; Lulu WANG ; Xiaofeng WANG ; Jie WU ; Lixin SUN ; Jiwen ZHANG ; Zhigang WANG ; Rui YANG ; Li WU
Acta Pharmaceutica Sinica B 2024;14(1):392-404
Nasal drug delivery efficiency is highly dependent on the position in which the drug is deposited in the nasal cavity. However, no reliable method is currently available to assess its impact on delivery performance. In this study, a biomimetic nasal model based on three-dimensional (3D) reconstruction and three-dimensional printing (3DP) technology was developed for visualizing the deposition of drug powders in the nasal cavity. The results showed significant differences in cavity area and volume and powder distribution in the anterior part of the biomimetic nasal model of Chinese males and females. The nasal cavity model was modified with dimethicone and validated to be suitable for the deposition test. The experimental device produced the most satisfactory results with five spray times. Furthermore, particle sizes and spray angles were found to significantly affect the experimental device's performance and alter drug distribution, respectively. Additionally, mometasone furoate (MF) nasal spray (NS) distribution patterns were investigated in a goat nasal cavity model and three male goat noses, confirming the in vitro and in vivo correlation. In conclusion, the developed human nasal structure biomimetic device has the potential to be a valuable tool for assessing nasal drug delivery system deposition and distribution.
9.Endovascular therapy for acute basilar artery occlusion
Xianshuai WANG ; Yan ZHAN ; Zhigang LIANG
International Journal of Cerebrovascular Diseases 2024;32(6):435-439
Acute basilar artery occlusion (ABAO) accounts for approximately 1% of all ischemic strokes, with high mortality and disability rates. Endovascular therapy is one of the effective treatment methods for ABAO, which can recanalize the occluded blood vessels, rescue ischemic penumbra, and improve the outcome of patients. This article reviews the current research status of endovascular treatment for patients with ABAO.
10.Risk factors and predictive model construction of brain metastases in patients with limited-stage SCLC undergoing preventive brain radiotherapy after remission
Hongxin YU ; Yan BAI ; Yuan GONG ; Jianzhuang WANG ; Zhigang FAN
Journal of International Oncology 2024;51(7):453-457
Objective:To investigate the risk factors of brain metastases in patients with limited-stage small cell lung cancer (SCLC) undergoing preventive brain radiotherapy after remission and to construct prediction model.Methods:A total of 231 patients with limited-stage SCLC who received chemoradiotherapy and achieved remission in 3201 Hospital from January 2015 to January 2023 were selected as the study objects. Logistic regression was used to analyze the influencing factors on the occurrence of brain metastases after remission in patients with limited-stage SCLC who received preventive brain radiotherapy. Binary logistic regression was used to construct a prediction model. Receiver operator characteristic (ROC) curve was used to evaluate the diagnostic efficacy of each indicator and the prediction model on the occurrence of brain metastases in patients.Results:The median follow-up time of the whole group was 73 months, and 42 cases of brain metastases occurred, with an incidence rate of 18.18%. There were statistically significant differences in the incidence of brain metastases among patients with different T stage ( Z=-4.97, P<0.001), clinical stage ( Z=-8.17, P<0.001), and time from initial treatment to thoracic radiotherapy ( χ2=21.38, P<0.001). Multivariate analysis showed that T stage (stage T 3: OR=6.29, 95% CI: 1.58-25.06, P=0.009; stage T 4: OR=12.91, 95% CI: 3.74-44.57, P<0.001), clinical stage (stageⅡ, OR=8.75, 95% CI: 2.89-26.51, P<0.001; stage Ⅲ, OR=18.43, 95% CI: 7.24-46.92, P<0.001), and time from initial treatment to thoracic radiotherapy ( OR=0.25, 95% CI: 0.11-0.56, P=0.001) were independent influencing factors on the occurrence of brain metastases after remission in patients with limited-stage SCLC who received preventive brain radiotherapy. The diagnostic prediction model based on the above indicators was logit ( P) =-19.91+1.84× stage T 3 +2.56× stage T 4+2.17× stage Ⅱ+2.91× stage Ⅲ-1.38× time from initial treatment to thoracic radiotherapy. ROC curve analysis showed that the area under the curve of T stage, clinical stage, time from initial treatment to thoracic radiotherapy, and the diagnostic prediction model for predicting the occurrence of brain metastasis after remission in patients with limited-stage SCLC who received preventive brain radiotherapy were 0.728, 0.660, 0.687, and 0.846, respectively, and the area under the curve of the diagnostic prediction model was significantly larger than those of the other indicators (all P<0.05) . Conclusion:T stage, clinical stage and the time from initial treatment to thoracic radiotherapy are all influential factors for the occurrence of brain metastases after remission in patients with limited-stage SCLC who received preventive brain radiotherapy. The diagnostic prediction model based on the above indicators can help to guide clinicians to accurately screen patients at high risk of brain metastases in the early stage.

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