1.Revisiting Intelligent Syndrome Differentiation in Traditional Chinese Medicine under the Disease-Syndrome Combination Model:Perspectives from Disease "Ambiguity and Precision"
Xinlong LI ; Sulin WANG ; Dongning YAN ; Xinran ZHAO ; Genming ZHANG
Journal of Traditional Chinese Medicine 2026;67(7):705-709
The ambiguity of symptom information in traditional Chinese medicine (TCM) syndrome differentiation can be amplified in the direct reasoning process from symptoms to syndromes in the absence of constraints, which affects the accuracy and stability of intelligent syndrome differentiation. TCM disease concepts, while historically rational, are structurally ambiguous in both their connotation and extension, making it difficult to serve as stable prior knowledge in intelligent modeling. In contrast, modern medical diseases, based on objective testing and quantifiable indicators, have relatively clear boundaries and reproducible standards. This study proposes a disease-syndrome combination model, adopting modern medical diseases as structural prior variables to reconstruct the hierarchical relationships among disease, symptoms, and syndromes. By applying disease constraints, effective screening of information from the four examinations and compressing the reasoning space are achieved. Furthermore, by integrating artificial intelligence technologies, such as multimodal fusion and knowledge graphs, an intelligent syndrome differentiation model driven by both prior knowledge and clinical data is constructed, providing a feasible path to enhance the accuracy of syndrome differentiation and realize the intelligentization of TCM diagnosis and treatment.
2.Dynamic Interactions Between Hemispheres Reveal a Compensatory Pathway for Motor Recovery in Moderate-to-Severe Subcortical Stroke
Huaxin FAN ; Hewei WANG ; Zhengxu LIAN ; Qiurong YU ; Xinran WU ; Nanyu KUANG ; Benjamin BECKER ; Jianfeng FENG ; Mingxia FAN ; Lili SONG ; Limin SUN ; Jie ZHANG ; Craig S. ANDERSON
Journal of Stroke 2026;28(1):97-114
Background:
and Purpose Therapeutic target selection in noninvasive brain stimulation for poststroke motor recovery typically relies on the interhemispheric inhibition model, which is effective for mildly affected patients but offers limited benefits for severely affected individuals. The mechanisms governing recovery from moderate-to-severe stroke remain poorly understood, which hinders the development of targeted interventions.
Methods:
We analyzed resting-state functional magnetic resonance imaging data from patients with unilateral subcortical stroke and moderate-to-severe upper limb deficits, both pre- and postintervention, along with data from healthy controls. We developed a novel dynamic lag analysis method for identifying recovery-related homotopic sensorimotor regions with altered interhemispheric interactions. To further uncover the global reorganization pathway, we developed dynamic lateralization approaches to detect large-scale functional connectivity (FC) alterations associated with the identified regions in transient lateralization states.
Results:
Dynamic time-lag analysis revealed significantly reduced synchronized states in the homotopic dorsal premotor cortex (PMd) post-intervention compared with pre-intervention, which correlated with motor recovery. Further dynamic lateralization analysis revealed a prolonged segregation state in patients, characterized by weakened interhemispheric and strengthened intrahemispheric interactions. In this state, patients showed decreased FC in the ipsilesional PMd and increased FC in the contralesional PMd with bilateral subcortical networks. These recoveryrelated alterations were absent in the traditional static analysis.
Conclusions
Dynamic analyses targeting interhemispheric interactions are valuable for understanding neural reorganization after stroke. The diminished interactions between the homotopic PMd indicate a compensatory mechanism. Importantly, a state-dependent compensatory pathway was identified, wherein the contralesional PMd assumes the functions of the ipsilesional PMd through enhanced interactions with subcortical structures, potentially guiding more effective interventions.
3.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.
4.Impact of intensified infection control measures on the incidence of health-care-associated infection under the background of diagnosis-intervention packet payment:an interrupted time series analysis
Xuwen GUO ; Bei JIA ; Xinran WANG ; Xiaoqian MA ; Liang DONG
Chinese Journal of Infection Control 2025;24(8):1083-1088
Objective To evaluate the impact of intensified infection control measures on the incidence of health-care-associated infection(HAI)under the background of the reform of diagnosis-intervention packet(DIP)payment,and provide decision-making basis for HAI management under the reform of medical insurance payment.Methods The interrupted time series research design was used to collect the monitoring data of HAI in a tertiary first-class hospital from October 2021 to September 2024.The changing trend of HAI incidence was analyzed by piecewise li-near regression,and the intervention effect was evaluated by standardized infection ratio(SIR).Results From Oc-tober 2021 to September 2022,the incidence of HAI was 2.17%(95%CI:2.08%-2.26%),which dropped to 1.87%(95%CI:1.82%-1.92%)after the intervention.Piecewise linear regression analysis showed that the inci-dence of HAI decreased by 0.324%immediately after the intervention(95%CI:-0.481%--0.167%,P<0.001),and the trend after the intervention changed significantly compared with that before the intervention(95%CI:-0.033%--0.009%,P=0.001).SIR analysis showed that the actual incidence during the entire intervention period was equivalent to 74.56%of the incidence in intervention period,gradually stabilized from 88.39%-93.81%at the beginning of the intervention to 67.03%-71.22%at the end of the study,and the intervention effect was sustained.Conclusion Intensified infection control measures under the background of the reform of DIP significantly reduce the incidence of HAI and improve the stability of infection control management,which provide new insights into the synergistic improvement of medical insurance payment and HAI management quality.
5.Development and validation of an innovative minimally invasive rotary-cutting surgical system for axillary osmidrosis
Jiajun FENG ; Chaoming DENG ; He HONG ; Fan WU ; Guogui TAO ; Xiaoqing SUN ; Xiaomin LIU ; Tiantian ZUO ; Wanhong WU ; Xinran WANG ; Zichuan CHEN ; Hu ZHANG ; Zhiqi HU ; Guobin CHEN
Chinese Journal of Medical Physics 2025;42(7):952-955
Objective To develop an innovative minimally invasive rotary-cutting surgical system for axillary osmidrosis,and conduct clinical validation.Methods The design concept,technical principles and system composition of the innovative minimally invasive rotary-cutting surgical system for axillary osmidrosis were introduced.A total of 73 patients(146 axillae)with axillary osmidrosis were enrolled as subjects,and underwent surgery using the newly developed surgical system.Clinical validation of the system was performed by evaluating postoperative scarring,odor elimination rate,postoperative complication incidence,and patient satisfaction.Results The study demonstrated favorable clinical outcomes in the following aspects:postoperative scarring,odor elimination rate,postoperative complication incidence,and patient satisfaction.Conclusion The minimally invasive rotary-cutting surgical system for axillary osmidrosis is rationally designed.The rotary-cutting puncture device is safe,effective,minimally invasive,and convenient for axillary osmidrosis surgery,warranting further clinical validation and widespread application.
6.Research progresses of artificial intelligence in imaging diagnosis of children developmental dysplasia of hip
Haoyue LUO ; Xin CHEN ; Jiajun SI ; Jun LI ; Yiran WANG ; Xinran LI ; Ling HE
Chinese Journal of Medical Imaging Technology 2025;41(1):160-163
Developmental dysplasia of hip(DDH)usually occurs in children,and delayed diagnosis of DDH might lead to serious complications and influence long-term prognosis.The application of artificial intelligence(AI)in medical images helps to quantitatively individualize image data,reduce bias generated by manual analysis and achieve early and accurate diagnosis of children DDH.The research progresses of AI in imaging diagnosis of children DDH were reviewed in this article.
7.Morphological and hemodynamic parameters of CT angiography for predicting recurrence of intracranial aneurysms after endovascular embolization
Xinran WANG ; Bin HU ; Zhao SHI ; Longjiang ZHANG
Chinese Journal of Medical Imaging Technology 2025;41(1):9-14
Objective To investigate the value of morphological and hemodynamic parameters of CT angiography(CTA)for predicting recurrence of intracranial aneurysms(IA)after endovascular embolization.Methods Totally 205 patients with ruptured IA who underwent endovascular embolization were retrospectively collected and divided into recurrence group(n=35)and non-recurrence group(n=170)according to follow-up results after embolization.The morphological and hemodynamic parameters of IA in CTA before treatment were compared between groups.Variance inflation factor(VIF)was used to explore whether there was collinearity between morphological and hemodynamic parameters,and those without collinearity were included in univariate and multivariate logistic regression analysis to screen predictors of recurrence of IA after endovascular embolization.Two prediction models were constructed based on morphological parameters(model 1)and combination with hemodynamic parameters(model 2).Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate the predictive efficacy of models.Results The maximum diameter,aneurysm neck width,maximum height,maximum vertical height and size ratio(SR)of IA in recurrence group were all higher than those in non-recurrence group(all P<0.05),while gradient oscillatory number(GON)in recurrence group was lower than that in non-recurrence group(P<0.05).The neck width,SR,pressure at IA neck plane,intra-aneurysm time-averaged wall shear stress(TAWSS),oscillatory shear index(OSI)and GON had no significant collinearity(all VIF<10),among which the neck width,SR and TAWSS were all independent predictors(all P<0.05).AUC of model 1 and model 2 for predicting recurrence of IA after endovascular embolization was 0.668 and 0.723,respectively,which of model 2 was higher than which of model 1(integrated discrimination improvement index was 0.055,P=0.025).Conclusion CTA morphological parameters combined with hemodynamic parameters of IA could be used to predict its recurrence after endovascular embolization.
8.Dynamic contrast-enhanced MRI quantitative parameters for differentiating high-and low-grade breast cancer
Xinran LIU ; Zhaorong TIAN ; Na GAO ; Jiale MA ; Zhijun WANG
Chinese Journal of Medical Imaging Technology 2025;41(6):924-927
Objective To explore the value of dynamic contrast-enhanced(DCE)-MRI quantitative parameters based on differential sub-sampling with Cartesian ordering(DISCO)technology for differentiating high-and low-grade breast cancer.Methods A total of 80 patients with single breast cancer confirmed by biopsy pathology were retrospectively enrolled,including 40 cases of low-grade(L group)and 40 cases of high-grade breast cancer(H group).Then quantitative parameters obtained from DISCO-DCE-MRI before treatment were compared between groups,including extravascular extracellular volume fraction(Ve),rate constant(Kep),contrast enhancement ratio(CER),maximum slope(MaxSlope)and volume transfer constant(Ktrans),and their correlations with histological grade were analyzed.Receiver operating characteristic(ROC)curves of DISCO-DCE-MRI quantitative parameters being significantly different between groups were plotted,and the area under the curves(AUC)were calculated to evaluate their efficacy for differentiating high-and low-grade breast cancer.Results Ve(0.91[0.59,0.99]),CER(2.76±0.54)and MaxSlope(0.02[0.01,0.03])in L group were all higher than those in H group(0.52[0.34,0.73],[2.31±0.74],0.01[0.01,0.02],all P<0.05),and no significant difference of Kep nor Ktrans was found between groups(both P>0.05).Ve,CER and MaxSlope of breast cancer were all negatively correlated with histological grade(rs=-0.43,-0.39,-0.35,all P<0.05),while Kep andKtranshad no significant correlation with histological grade(both P>0.05).The AUC of Ve,CER and MaxSlope for differentiating high-and low-grade breast cancer was 0.749,0.725 and 0.700,respectively.Conclusion Among DISCO-DCE-MRI quantitative parameters,Ve,CER and MaxSlope could be used for differentiating high-and low-grade breast cancer.
9.Effect of Processed Polygonatum cyrtonema in Preventing Depression Induced by Chronic Unpredictable Mild Stress in Female Rats
Xinyu DENG ; Chunhua MA ; Zimeng WANG ; Man TANG ; Xinran LI ; Lurong YU ; Xianyuan HE
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):117-124
ObjectiveTo observe the prevention and control effect of processed Polygonatum cyrtonema on depression induced by chronic unpredictable mild stress (CUMS) in female rats. MethodsForty rats were assigned into control, model, and low-, medium-, and high-dose processed P. cyrtonema groups according to the random number table method, with 8 rats in each group. The rat model of depression was established with the CUMS method. The body mass, open field test, forced swimming test, Morris water maze test, levels of neurotransmitters [dopamine (DA), 5-hydroxytryptamine (5-TH), and acetylcholine (ACh)], serum levels of sex hormones [gonadotropin-releasing hormone(GnRH), testosterone (T), and estradiol (E2)] and inflammatory factors [tumor necrosis factor-α (TNF-α), interleukin (IL)-6, and IL-10], and mRNA and protein levels of factors in the brain-derived neurotrophic factor (BDNF)/tyrosine kinase receptor B (TRKB)/cAMP-response element binding protein (CREB) pathway were employed to evaluate the effect of processed P. cyrtonema on the CUMS-induced depression in female rats. ResultsThe body mass, open field test results, and forced swimming test results showed that the rat model of depression was successfully established. The comparison of behaviors, neurotransmitters, sex hormones, inflammatory factors, and neural pathways among groups showed that processed P. cyrtonema had different effects of preventing the development of depression in female rats. SPSS 25 was used for statistical analysis of error and significance. T test was conducted between groups. Each treatment group showed significant therapeutic effect compared with the model group (P<0.05). Processed P. cyrtonema elevated the level of 5-TH (P<0.01) and lowered the levels of DA and ACh (P<0.01) in the brain tissue of female rats. In addition, it reduced the serum levels of GnRH, T, E2, TNF-α, and IL-6 (P<0.05) and up-regulated the mRNA levels of BDNF and TRKB in the rat brain. ConclusionProcessed P. cyrtonema has a non-hyperactive preventive effect on CUMS-induced depression in rats, which provides a theoretical basis for the development of processed P. cyrtonema as a functional food product.
10.Effect of Processed Polygonatum cyrtonema in Preventing Depression Induced by Chronic Unpredictable Mild Stress in Female Rats
Xinyu DENG ; Chunhua MA ; Zimeng WANG ; Man TANG ; Xinran LI ; Lurong YU ; Xianyuan HE
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):117-124
ObjectiveTo observe the prevention and control effect of processed Polygonatum cyrtonema on depression induced by chronic unpredictable mild stress (CUMS) in female rats. MethodsForty rats were assigned into control, model, and low-, medium-, and high-dose processed P. cyrtonema groups according to the random number table method, with 8 rats in each group. The rat model of depression was established with the CUMS method. The body mass, open field test, forced swimming test, Morris water maze test, levels of neurotransmitters [dopamine (DA), 5-hydroxytryptamine (5-TH), and acetylcholine (ACh)], serum levels of sex hormones [gonadotropin-releasing hormone(GnRH), testosterone (T), and estradiol (E2)] and inflammatory factors [tumor necrosis factor-α (TNF-α), interleukin (IL)-6, and IL-10], and mRNA and protein levels of factors in the brain-derived neurotrophic factor (BDNF)/tyrosine kinase receptor B (TRKB)/cAMP-response element binding protein (CREB) pathway were employed to evaluate the effect of processed P. cyrtonema on the CUMS-induced depression in female rats. ResultsThe body mass, open field test results, and forced swimming test results showed that the rat model of depression was successfully established. The comparison of behaviors, neurotransmitters, sex hormones, inflammatory factors, and neural pathways among groups showed that processed P. cyrtonema had different effects of preventing the development of depression in female rats. SPSS 25 was used for statistical analysis of error and significance. T test was conducted between groups. Each treatment group showed significant therapeutic effect compared with the model group (P<0.05). Processed P. cyrtonema elevated the level of 5-TH (P<0.01) and lowered the levels of DA and ACh (P<0.01) in the brain tissue of female rats. In addition, it reduced the serum levels of GnRH, T, E2, TNF-α, and IL-6 (P<0.05) and up-regulated the mRNA levels of BDNF and TRKB in the rat brain. ConclusionProcessed P. cyrtonema has a non-hyperactive preventive effect on CUMS-induced depression in rats, which provides a theoretical basis for the development of processed P. cyrtonema as a functional food product.

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