1.The feasibility of using high-definition thoracoscopy to identify sympathetic ganglia during thoracic sympathicotomy for primary palmar hyperhidrosis
Gang XU ; Chaoyue HU ; Cong CHEN ; Yuancai LIN ; Daolong ZHU ; Han LIU ; Dong WANG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(04):578-583
Objective To explore the feasibility of using high-definition thoracoscopy to identify sympathetic ganglia during thoracic sympathicotomy for primary palmar hyperhidrosis. Methods The clinical data of patients with primary palmar hyperhidrosis who underwent high-definition thoracoscopic sympathicotomy in Taikang Xianlin Drum Tower Hospital from June to July 2023 were retrospectively analyzed. Intraoperative visualization rates and anatomical variations of sympathetic ganglia were recorded, and the consistency between white-light thoracoscopy and near-infrared fluorescence imaging was compared. Additionally, surgical videos from previous fluorescence-guided procedures were reviewed. Results Finally 100 patients were collected, including 54 females and 46 males, with an average age of (21.92±6.56) years. All patients underwent endoscopic thoracic sympathicotomy at R3 level. The overall intraoperative ganglion visualization rate was 92.5% (740/800), with G2-G5 rates of 95.5% (191/200), 94.0% (188/200), 94.0% (188/200), and 86.5% (173/200), respectively. Ganglion variations occurred in 32.0% (237/740), predominantly at G3 (29.8%) and G4 (42.6%). In 5 indocyanine green-enhanced patients, the concordance rate between white-light and near-infrared fluorescence imaging was 100.0% (38/38). Video analysis of 14 near-infrared fluorescence-guided surgeries demonstrated a 99.1% (107/108) consistency rate. Postoperative palmar hyperhidrosis improvement reached 100.0% (100/100) with no Horner’s syndrome. Conclusion With the wide clinical application of high-definition thoracoscopy, accurate thoracic sympathicotomy has the feasibility of clinical application.
2.Syndrome Differentiation and Treatment of Asymptomatic Renal Hematuria Population Based on Association of Age-Constitution-Syndrome
Guangjian WANG ; Cong QIN ; Yibo WU ; Guodong YUAN ; Suzhi CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(9):247-255
For a long time, simple asymptomatic renal hematuria has not been taken seriously. Current studies have confirmed that renal hematuria is a risk factor for the progression of renal function, but there is no effective treatment available. Because asymptomatic renal hematuria is highly concealed and lacks typical symptoms, individualized syndrome differentiation in traditional Chinese medicine (TCM) is difficult, making it a challenge in clinical diagnosis and treatment. Although TCM has a long history and solid theoretical basis in the treatment of hematuria, it urgently needs to break through the bottleneck of traditional syndrome differentiation. Based on classical TCM theories, research achievements in modern constitution studies, and relevant clinical and pathological evidence, this article focuses on the decisive influence of age on constitution distribution and its regular association with the evolution of core syndromes, and constructs a three-dimensional diagnostic and therapeutic system of "age-constitution-syndrome". It reveals that the syndrome manifestations of asymptomatic renal hematuria are profoundly shaped by constitution, and that constitution shows a group distribution pattern with age-children often present with deficiency of lung and spleen Qi combined with wind-heat, young and middle-aged individuals often present with deficiency of liver and kidney Yin combined with deficient fire and stasis heat, and elderly individuals often present with deficiency of spleen and kidney combined with cold-dampness and stasis obstruction. By analyzing the common pathogenic mechanisms, outcome characteristics, and internal mechanisms among different age groups, this study provides a basic syndrome framework and core intervention strategies for specific populations in clinical practice, offering a new evidence-based approach to addressing the dilemma of “no identifiable syndrome”.
3.Investigation on the microclimate of primary and secondary school classrooms in five provinces and municipalities of China in winter
Chinese Journal of School Health 2026;47(2):158-162
Objective:
To understand the microclimate in primary and secondary school classrooms for the study period during the winter heating season, so as to provide a reference for the revision and improvement of relevant health standards.
Methods:
In December 2024, stratified random sampling was used to select 30 primary and secondary schools and 180 classrooms from the northern regions with centralized heating (Liaoning Province, Tianjin City) and the southern regions without centralized heating (Shanghai City, Anhui Province, and Jiangxi Province). Indoor temperature, relative humidity, wind speed, CO 2 and other indicators were measured on site. Variance analysis, t-test, Mann-Whitney U test and Kruskal-Wallis H test were used to analyze the differences in the microclimate of classrooms among regions and urban and rural differences.
Results:
The average temperature in the middle of the classrooms tested on site was (16.47±4.72)℃, and the variance analysis showed that the difference between the regions was statistically significant ( F=27.80, P <0.01). Among them, Tianjin had the highest average temperature of (20.43± 2.12 )℃, followed by Liaoning (19.03±2.23)℃, Shanghai (15.33±5.32)℃, Anhui (12.79±1.74)℃, and Jiangxi (11.69± 1.68 )℃. Horizontal temperature difference was 0.90 (0.50, 1.60)℃, the vertical temperature difference was 0.20 (0.10,0.60)℃, the average relative humidity was (44.39±16.16)%, the wind speed was 0.03(0.01,0.11)m/s, and the differences among different provinces and cities were statistically significant ( H/F =40.62, 82.69, 95.06, 55.28, all P <0.01). The average CO 2 volume concentration in urban areas of Tianjin, Liaoning, and Shanghai was 0.21(0.16,0.30)%, and there was no statistically significant difference ( H=4.65, P =0.10). There were grade differences in relative humidity ( F =3.71, 6.21) and CO 2 ( H =14.72, 12.92) in the north and the south (all P <0.05). In addition, the temperature, relative humidity, wind speed and CO 2 in the middle of the classroom were 42.8%, 67.8%, 100.0% and 22.2% respectively.
Conclusions
The temperature in the middle of the classroom in the non centralized heating area is lower than the standard, the relative humidity of classroom in the centralized heating area is lower than the standard,and the CO 2 in the classroom in winter is lower than the standard. It is recommended to install heating facilities in schools with low temperatures to increase the temperature and increase the frequency of ventilation in classrooms or adopt mechanical ventilation strategies to reduce CO 2 volume concentration.
4.Neuroprotective effect and mechanism of eleutheroside B on Parkinson’s disease model mice by regulating the IKKβ/NF-κB signaling pathway
Xiaoli WANG ; Hua RONG ; Siwen PAN ; Chunlei YU ; Tianjiao XU ; Yu SUN ; Huan CONG ; Yu PANG ; Gang CHEN ; Xiaoming LI
China Pharmacy 2026;37(8):998-1002
OBJECTIVE To investigate the neuroprotective effect and mechanism of eleutheroside B (ELB) on Parkinson’s disease (PD) model mice by regulating the IκB kinase β (IKKβ)/nuclear factor-κB (NF-κB) signaling pathway. METHODS Fifty mice were randomly divided into normal control group, model group, positive control group (selegiline hydrochloride, 10 mg/kg), and ELB low-dose and high-dose groups (80, 160 mg/kg), with 10 mice in each group. Each group was given relevant medicine or normal saline intragastrically for 14 consecutive days. Starting from the 10th day of administration, the model group and all administration groups were intraperitoneally injected with 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) 30 mg/kg, for five consecutive days to establish the chronic PD model. After the last administration for 24 h, six mice were randomly selected from each group to test their behavioral abilities; detect the levels of interleukin-1β (IL-1β), IL-10, tumor necrosis factor-α (TNF-α) in brain tissue and their mRNA expressions were measured, and positive expression of tyrosine hydroxylase (TH), protein expressions of TH, α -synuclein ( α -syn), ionized calcium-binding adaptor molecule 1 (Iba-1), as well as phosphorylation levels of IKKβ and NF-κB p65 proteins in the brain tissue were detected. The ultrastructure of neurons in substantia nigra was observed. RESULTS Compared with the model group, rotarod endurance time and climbing score of each administration group (except for the ELB low-dose group) were increased significantly ( P <0.05), while the levels and mRNA expressions of IL-1β, TNF-α, α -syn, and Iba-1, as well as phosphorylation levels of IKKβ and NF-κB p65 proteins in brain tissue were decreased significantly (except for TNF-α in the ELB low-dose group). Conversely, the level and mRNA expression of IL-10 (except for the ELB low-dose group), TH positive expression and protein expressions were significantly increased ( P <0.05). Typical neurodegenerative pathological changes, such as neuronal karyopyknosis, mitochondrial swelling and vacuolization, and endoplasmic reticulum dilation, all showed varying degrees of improvement. CONCLUSIONS ELB may exert neuroprotective effects by inhibiting the activation of the IKKβ/NF-κB signaling pathway, alleviating inflammatory responses, reducing abnormal α -syn aggregation and neuronal loss, and further improving motor dysfunction in PD mice.
5.Preliminary Outcomes of Endoscopic Spine Surgery Adoption at a Singapore Tertiary Hospital: A Multisurgeon Experience
John Wen Cong THNG ; Nicholas WONG ; Kai Lin LEE ; Wu Jie TOH ; Haobin CHEN ; Ghim Hoe NEO ; Yilun HUANG
Journal of Minimally Invasive Spine Surgery and Technique 2026;11(1):95-104
Objective:
This study characterizes the demographic and clinical profiles of patients undergoing unilateral biportal endoscopic spine surgery (UBE ESS) for lumbar decompression/discectomy at a tertiary hospital in Singapore. It examines service implementation across multiple senior surgeons, evaluates preliminary clinical outcomes, and describes the learning curve observed during early adoption among surgeons already experienced in minimally invasive spine surgery, benchmarked against international standards. In the context of increasing global uptake of endoscopic techniques, this work provides evidence to inform institutional adoption and surgeon training. This analysis forms part of a multi-paper series comparing surgeon experience and patient outcomes between conventional minimally invasive approaches and UBE ESS for lumbar decompression/discectomy.
Methods:
We conducted a retrospective review of 111 patients who underwent UBE lumbar decompression/discectomy at a public tertiary hospital between October 2022 and April 2024. Data on patient demographics, comorbidities, presenting symptoms, operative details, and clinical outcomes, including visual analogue scale (VAS) scores and 36-Item Short Form Health Survey (SF-36) health domains, were analyzed using appropriate statistical methods.
Results:
The mean patient age was 56.8 years, with a slight female predominance (54.1%). Statistically significant improvements were observed in VAS scores for both back and leg pain (p<0.05), alongside significant gains in SF-36 domains including physical functioning, bodily pain, vitality, and social functioning. Operative times decreased progressively with increasing case volume, consistent with the presence of a procedural learning curve.
Conclusion
UBE ESS for lumbar decompression/discectomy is a safe and efficacious technique that can be successfully adopted by spinal surgeons with prior minimally invasive surgical experience. Operative time demonstrates a meaningful reduction once the initial learning curve has been overcome. ESS provides a reproducible option for the treatment of degenerative lumbar spine disease in the tertiary hospital setting in Singapore, with outcomes comparable to established international benchmarks. Future work will include long-term follow-up of this patient cohort and direct comparison with conventional minimally invasive techniques in subsequent studies.
6.Trends in Lumbar Spinal Decompression Surgery at a Single Tertiary Center: A Retrospective Review
Kai Lin LEE ; Dhivakaran GENGATHARAN ; John Wen Cong THNG ; Thanos SIVRIDIS ; Dickson CHAU ; Ghim Hoe NEO ; Haobin CHEN ; Ji Min LING ; Thomas Choo Heng TAN ; Yilun HUANG
Journal of Minimally Invasive Spine Surgery and Technique 2026;11(1):65-76
Objective:
Spinal stenosis and degenerative spinal disorders are increasingly prevalent and have a substantial impact on quality of life. Surgical decompression, performed using either open microscopic or endoscopic approaches, remains a cornerstone of management for these conditions. This study examines evolving trends in single-level lumbar spinal decompression procedures performed at a tertiary academic hospital in Singapore.
Methods:
A retrospective observational study was conducted involving 588 patients who underwent single-level spinal decompression between 2021 and 2024, including endoscopic spine surgery (ESS; n=364) and microdecompression (n=224). Primary outcome measures were changes in 36-Item Short Form Health Survey (SF-36) and visual analogue scale (VAS) scores at 3 months, 6 months, and 2 years postoperatively. Secondary outcomes included length of hospital stay, reoperation rates, and operative time. Patient demographics, spinal level and pathology characteristics, surgical techniques, and postoperative outcomes were analyzed. Difference-in-differences (DID) analysis was used to compare outcomes between the 2 groups.
Results:
Both groups demonstrated significant postoperative improvements in SF-36 and VAS scores. At 2 years, Short Form Health Survey physical function (SFPF) scores improved in the endoscopic group (mean difference [MD], 18.6; standard deviation [SD], 21.7; p=0.064) and in the open microscopic group (MD, 36.7; SD, 20.9; p=0.007), with a non-significant DID of -18.1 (p=0.155). No DID comparisons across SF-36 domains reached statistical significance. Mean operative time for endoscopic procedures decreased from 249 minutes in 2022 to 145 minutes in 2024, reflecting a procedural learning curve. Surgeons with higher endoscopic caseloads exhibited greater improvements in functional outcomes.
Conclusion
Both endoscopic and open microscopic decompression achieve comparable short- and long-term clinical outcomes. ESS provides similar effectiveness while being associated with shorter recovery periods and reduced hospital stay. Further research is warranted to identify factors contributing to incomplete symptom resolution or the need for revision surgery.
7.Effect of functional pelvic floor muscle training on stress urinary incontinence in women
Ya'nan LI ; Miao YE ; Juan WU ; Cong CHEN ; Lingfang WAN ; Lili YU ; Linlin GAO ; Yi QIN ; Huafang JING
Chinese Journal of Rehabilitation Theory and Practice 2026;32(6):690-698
ObjectiveTo observe the effect of functional pelvic floor muscle training on pelvic floor muscle function, incontinence symptoms and quality of life in female patients with stress urinary incontinence (SUI). MethodsFrom February, 2024 to July, 2025, 40 female patients with SUI were recruited from Beijing Bo'ai Hospital and advertisements. They were randomly divided into control group (n = 20) and experimental group (n = 20). The control group received conventional pelvic floor muscle contraction and relaxation training, and the experimental group received functional pelvic floor muscle contraction and relaxation training, for eight weeks. The data of pelvic floor muscle strength, pelvic floor muscle surface electromyography (sEMG), 1-hour urine pad test and Incontinence Quality of Life questionnaire (I-QOL) were collected before and after training. The compliance rate was counted after training. ResultsOne case dropped down in the control group and three cases dropped down in the experimental group. After treatment, the pelvic floor muscle strength increased in both groups (|Z| > 3.317, P < 0.01), the pre-resting average value, sustained contraction average value and durable contraction average value of sEMG improved in the control group (|t| > 2.731, P < 0.05), the mass of 1-hour urine pad significantly reduced (t > 9.215, P < 0.001) and the I-QOL score significantly increased (|t| > 13.229, P < 0.001) in both groups; compared with the control group, the pelvic floor muscle strength significantly increased (Z = -2.281, P = 0.023), the mass of 1-hour urine pad significantly reduced (t = 4.215, P < 0.001), the I-QOL score significantly increased (t = -4.501, P < 0.001), and the compliance rate significantly increased (Z = -2.798, P < 0.01) in the experimental group . ConclusionFunctional pelvic floor muscle training can significantly improve pelvic floor muscle strength, incontinence symptoms and quality of life in female patients with SUI.
8.Clinical Value of A Arterial and Portal CT-Based Deep Learning Model for the Differential Diagnosis of Benign and Malignant Pancreatic Cystic Lesions
Boyu CHEN ; Wenyi DENG ; Fuze CONG ; Huadan XUE
Medical Journal of Peking Union Medical College Hospital 2026;17(4):963-975
To develop a deep learning model based on arteriovenous dual-phase CT imaging features and evaluate its diagnostic value in differentiating benign from malignant pancreatic cystic lesions(PCLs). Preoperative contrast-enhanced CT images of patients with histopathologically confirmed PCLs at Peking Union Medical College Hospital from June 1, 2014 to May 31, 2023 were retrospectively collected. The data were randomly partitioned at the lesion level into training, validation, and test sets in a 3∶1∶1 ratio. CT images were preprocessed and regions of interest were delineated. Using postoperative pathological results as the reference standard, five deep learning models(ResNet50, DenseNet121, ResNeXt50, EfficientNet-b5, and MobileNetV2) were constructed to extract arteriovenous dual-phase CT imaging features for binary classification of PCLs. The optimal model was selected based on the area under the curve(AUC), accuracy, sensitivity, and specificity. Further comparative analyses were conducted against single-phase CT-based deep learning models, conventional radiomics models, and radiologist interpretations to comprehensively evaluate the performance of the arteriovenous dual-phase CT-based deep learning model in the differential diagnosis of PCLs. A total of 480 patients with 485 lesions(206 malignant and 279 benign) were ultimately enrolled. The training, validation, and test sets comprised 291, 97, and 97 lesions, corresponding to 288, 96, and 96 patients, respectively. In the validation set, the ResNeXt50 model based on arteriovenous dual-phase CT features achieved an AUC of 0.837(95% CI: 0.748-0.915), an accuracy of 77.32%(95% CI: 67.70%-85.21%), a sensitivity of 80.49%(95% CI: 65.13%-91.18%), and a specificity of 75.00%(95% CI: 61.63%-85.61%). In the test set, the corresponding values were 0.822(95% CI: 0.737-0.904), 73.20%(95% CI: 63.24%-81.68%), 82.93%(95% CI: 67.94%-92.85%), and 66.07%(95% CI: 52.19%-78.19%), demonstrating overall superior performance. Calibration curves indicated that the predicted probabilities of the model were generally consistent with observed outcomes, albeit with certain shortcomings in probability calibration. Decision curve analysis demonstrated that, overall, the use of this model for clinical decision-making conferred a net benefit to patients. Compared with single-phase CT-based models and conventional radiomics models, the ResNeXt50 model incorporating arteriovenous dual-phase CT features exhibited superior overall performance, and its diagnostic performance was comparable to that of radiologists, with good consistency. The deep learning model based on arteriovenous dual-phase CT imaging features demonstrates diagnostic value in differentiating benign from malignant PCLs and may serve as an adjunctive reference for preoperative clinical assessment. However, its stability and generalizability warrant further validation in larger cohorts and with external datasets.
9.Prediction of Mismatch Repair Deficiency Status in Endometrial Cancer Using Multiparametric MRI Radiomics and Deep Learning: A Multimodal Model with Preliminary Validation
Liru WANG ; Shangying YANG ; Boyu CHEN ; Fuze CONG ; Xinran LI ; Xinyu LIU ; Huadan XUE ; Zhengyu JIN ; Yang XIANG ; Yonglan HE ; Yuan LI
Medical Journal of Peking Union Medical College Hospital 2026;17(4):976-984
To explore the clinical value of a multimodal predictive model based on multiparametric magnetic resonance imaging(MRI) radiomics combined with deep learning(DL) features for the preoperative noninvasive assessment of mismatch repair-deficient(MMRd) status in endometrial cancer(EC). Patients diagnosed with EC at Peking Union Medical College Hospital from January 2015 to December 2021 were retrospectively enrolled and randomly divided into a training set and a validation set at a ratio of 8∶2. Relevant clinical data were collected, and radiomics features and DL features were extracted from preoperative contrast-enhanced T1-weighted imaging(CE-T1WI), fat-suppressed T2-weighted imaging(fs-T2WI), and diffusion-weighted imaging(DWI) sequences. High-dimensional feature selection and dimensionality reduction were performed sequentially using the recursive feature elimination(RFE) algorithm to generate a radiomics score(Rad-score) and a deep learning score(DL-score), respectively. Multivariate logistic regression was utilized to construct a clinical model, a pure radiomics model, a clinical-radiomics model, and an integrated multimodal model incorporating clinical indicators, Rad-score, and DL-score. Model performance was assessed and compared using area under receiver operating characteristic curve(AUC) and DeLong test. A total of 509 patients were enrolled in this study, comprising 413 in the training cohort and 96 in the validation cohort. Independent predictors: Multivariate analysis indicated that preoperative fasting blood glucose level, histological grade, lymph node metastasis status, Rad-score, and DL-score were all independent significant predictors of MMRd status in EC patients. The integrated multimodal model demonstrated optimal predictive performance with an AUC of 0.699(95% CI: 0.635-0.763) in the training set, which was superior to the clinical model(AUC=0.629, 95% CI: 0.561-0.697) and the pure radiomics model(AUC=0.641, 95% CI: 0.575-0.706). In the validation set, the integrated model maintained good generalizability, achieving an AUC of 0.655(95% CI: 0.535-0.775), and its diagnostic efficacy was higher than that of the clinical model(AUC=0.578, 95% CI: 0.450-0.705) and the pure radiomics model(AUC=0.611, 95% CI: 0.488-0.734). According to the DeLong test, the incorporation of DL features resulted in the clinicalradiomicsdeep learning model performing better than both the clinicalonly model( The initially developed clinical-radiomics-deep learning model exhibits a certain predictive potential for the MMRd status in patients with EC. The inclusion of DL features may help complement the limitations of traditional evaluations, offering a preliminary radiological reference for preoperative non-invasive screening. However, given the current diagnostic performance, its overall accuracy and clinical generalizability warrant further validation in multi-center, large-sample external cohort studies.
10.A Multi-dimensional Indicator-based Approach for Quality Evaluation of Chinese Patent Medicines
Shuangyan LI ; Siyuan LI ; Sha CHEN ; Yue GUO ; Jun ZHANG ; Cong GUO ; Yan LIU ; An LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(19):229-237
Chinese patent medicines are the core preparations for disease prevention and treatment in clinical traditional Chinese medicine (TCM). Their quality is the key to ensuring safe and effective medication and promoting the high-quality development of the TCM industry. At present, the quality evaluation of Chinese patent medicines faces prominent problems, such as inadequate control of quality consistency, over-reliance on single indicators, one-sided evaluation dimensions, unstable statistical methods, and poor implementability of research findings. These defects lead to insufficient scientificity of evaluation results, making it difficult to support the implementation of policies including centralized procurement, high quality, and favorable prices for Chinese patent medicines. According to the core requirements of quality evaluation for Chinese patent medicines, this study established a four-dimensional comprehensive evaluation system encompassing consistency index(CI), content index(MI), effect index(EI), and preparation index(PI). All evaluation indicators were normalized to achieve horizontal comparability. Meanwhile, an improved radar chart was introduced to realize the visualization of evaluation results. This method can systematically integrate four types of core quality attributes: Quality consistency, component content, biological activity, and preparation characteristics. It can effectively distinguish quality differences among products of the same specification from different manufacturers. The evaluation results are unique, stable, and not affected by the addition or reduction of samples, which takes scientificity, objectivity, and operability into account. This method can provide scientific and technical support for screening high-quality Chinese patent medicines and implementing policies of centralized procurement, high quality, and favorable prices. Moreover, it has important practical significance for improving the quality evaluation system of Chinese patent medicines and advancing the standard and modern development of TCM.


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