1.Research progress on the etiology and treatment of acquired paralytic strabismus
Shuting RU ; Shuiling CHEN ; Wanyu ZHOU ; Wu SUN ; Liqun CHU
International Eye Science 2026;26(4):662-667
Acquired paralytic strabismus is a common neuromuscular disorder in adults,characterized by diplopia, visual confusion, impaired ocular motility, and ocular deviation, which severely affects the patient's quality of life and overall health. The disease has a complex etiology, encompassing multiple pathological mechanisms such as vascular pathologies, trauma, inflammation, neoplasms, and immune-related disorders. Treatment primarily focuses on addressing the underlying cause. While conventional Western approaches, such as medication and surgery, can alleviate symptoms, some carry the risk of adverse effects, and their long-term recurrence rates warrant careful consideration. Traditional Chinese medicine utilizes distinctive therapies such as herbal medicine, acupuncture, and other adjunctive therapies, which have shown promising therapeutic effects but are constrained by a lack of high-quality evidence from large-scale randomized controlled trials. This review systematically summarizes recent advances in the etiological classification and traditional Chinese and Western medical treatments of acquired paralytic strabismus. It innovatively summarizes the clinical features associated with different causes, analyzes current therapeutic strategies and research landscape, aiming to inform clinical practice and suggest future research directions.
2.Analysis of hepatitis B infection characteristics in HBsAg-/HBV DNA+ blood donors in Taiyuan
Zhiye LI ; Baifeng SHAN ; Liuming ZHANG ; Yixuan LI ; Aichun CHU ; Weiyu YUAN ; Lixia DOU ; Qiang ZHANG ; Yuan BAI ; Yuan ZHOU
Chinese Journal of Blood Transfusion 2026;39(3):373-378
Objective: To analyze characteristics of hepatitis B infection in HBsAg-/HBV DNA+ blood donors in Taiyuan, so as to provide evidence for adjusting blood screening strategies. Methods: Blood samples of HBsAg-/HBV DNA+ donors were tested using enzyme-linked immunosorbent assay (ELISA), chemiluminescence assay, nucleic acid qualitative test, and nucleic acid quantitative test. Data on HBsAg-/HBV DNA+ donors in Taiyuan region from January 1, 2016 to December 31, 2024 were statistically analyzed to evaluate the detection rate, demographic characteristics, influencing factors of detection rate, nucleic acid quantitative results, and serological patterns of HBsAg-/HBV DNA+ donors. Results: From January 1, 2016 to December 31, 2024, 991 565 donor samples underwent nucleic acid testing in Taiyuan. A total of 309 HBsAg-/HBV DNA+ samples were detected, resulting in an HBsAg-/HBV DNA+ detection rate of 3.12 per 10 000. The detection rate varied significantly across different years (P<0.05). Males had a significantly higher HBsAg-/HBV DNA+ detection rate than females, first-time donors had a higher rate than repeat donors, and whole blood donors had a higher rate than apheresis donors (P<0.05). The detection rate also differed significantly among age groups (P<0.05). Logistic regression analysis showed that gender, age, donation frequency, and donation type were all influencing factors for HBsAg-/HBV DNA+ detection (all P<0.05). The predominant serological patterns among HBsAg-/HBV DNA+ donors were HBsAb+/HBcAb+ (43.69%, 135/309) or HBcAb+ alone (24.27%, 75/309). Viral load was detectable in 53.40% (165/309) of the HBsAg-/HBV DNA+ donors. Among these, 61.21% (101/165) donors had a viral load<20 IU/mL, and 94.55% (156/165) had a viral load<200 IU/mL. Donors with viral load<200 IU/mL primarily exhibited HBsAb+/HBcAb+ (41.67%, 65/156) or HBcAb+alone (36.54%, 57/156) serological patterns. Conclusion: The prevalence of HBsAg-/HBV DNA+ is low among blood donors in Taiyuan. Higher detection rates were observed in the 46-55 years age group, males, first-time donors, and whole blood donors. HBsAg-/HBV DNA+ donors exhibit specific serological patterns and generally have low viral loads, indicating a potential residual transfusion risk. It is recommended to add HBcAb testing, together with high-sensitivity nucleic acid testing technologies and donor follow-up, to ensure blood safety and guide donor reentry.
3.Monte Carlo simulation and optimization analysis of dose distribution in brachytherapy
Yang PAN ; Lin LI ; Yishui CHEN ; Ning ZHOU ; Nini CHU
Chinese Journal of Radiological Health 2026;35(2):251-257
Objective To conduct Monte Carlo simulations on the microselectro-HDR192Ir radiation source, investigate dose distributions under various conditions, and provide assistance in optimizing radiotherapy plans. Methods A microselectro-HDR192Ir radiation source model was established based on the MCNP5 software. Theoretical calculation formulas were used to validate the simulation results. The dose distributions under different activities and positions were obtained through simulations using the MCNP5 transport program. By fitting the simulation data, the relationship between the safe distance for at-risk organs and treatment time was analyzed. Results As the distance from the origin increased in the X-direction, the distance required for the absorbed dose rate to decrease to half its original value increased, and the isodose lines became sparser. The shapes of the dose distribution diagrams under different activities were consistent, presenting concentric polygons and concentric circles at different distances. Under the condition of the same lethal dose, the difference in the safe distance between two organs increased with time; under different lethal dose conditions, the differences were not significant whether between similar organs or between different organs. Conclusion The Monte Carlo method can accurately describe the radiation field generated by the microselectro-HDR192Ir radioactive source during high-dose-rate brachytherapy. Quantitative analysis of the radiation field will help optimize the radiotherapy plan.
4.Monte Carlo simulation and optimization analysis of dose distribution in brachytherapy
Yang PAN ; Lin LI ; Yishui CHEN ; Ning ZHOU ; Nini CHU
Chinese Journal of Radiological Health 2026;35(2):251-257
Objective To conduct Monte Carlo simulations on the microselectro-HDR192Ir radiation source, investigate dose distributions under various conditions, and provide assistance in optimizing radiotherapy plans. Methods A microselectro-HDR192Ir radiation source model was established based on the MCNP5 software. Theoretical calculation formulas were used to validate the simulation results. The dose distributions under different activities and positions were obtained through simulations using the MCNP5 transport program. By fitting the simulation data, the relationship between the safe distance for at-risk organs and treatment time was analyzed. Results As the distance from the origin increased in the X-direction, the distance required for the absorbed dose rate to decrease to half its original value increased, and the isodose lines became sparser. The shapes of the dose distribution diagrams under different activities were consistent, presenting concentric polygons and concentric circles at different distances. Under the condition of the same lethal dose, the difference in the safe distance between two organs increased with time; under different lethal dose conditions, the differences were not significant whether between similar organs or between different organs. Conclusion The Monte Carlo method can accurately describe the radiation field generated by the microselectro-HDR192Ir radioactive source during high-dose-rate brachytherapy. Quantitative analysis of the radiation field will help optimize the radiotherapy plan.
5.Monte Carlo simulation and optimization analysis of dose distribution in brachytherapy
Yang PAN ; Lin LI ; Yishui CHEN ; Ning ZHOU ; Nini CHU
Chinese Journal of Radiological Health 2026;35(2):251-257
Objective To conduct Monte Carlo simulations on the microselectro-HDR192Ir radiation source, investigate dose distributions under various conditions, and provide assistance in optimizing radiotherapy plans. Methods A microselectro-HDR192Ir radiation source model was established based on the MCNP5 software. Theoretical calculation formulas were used to validate the simulation results. The dose distributions under different activities and positions were obtained through simulations using the MCNP5 transport program. By fitting the simulation data, the relationship between the safe distance for at-risk organs and treatment time was analyzed. Results As the distance from the origin increased in the X-direction, the distance required for the absorbed dose rate to decrease to half its original value increased, and the isodose lines became sparser. The shapes of the dose distribution diagrams under different activities were consistent, presenting concentric polygons and concentric circles at different distances. Under the condition of the same lethal dose, the difference in the safe distance between two organs increased with time; under different lethal dose conditions, the differences were not significant whether between similar organs or between different organs. Conclusion The Monte Carlo method can accurately describe the radiation field generated by the microselectro-HDR192Ir radioactive source during high-dose-rate brachytherapy. Quantitative analysis of the radiation field will help optimize the radiotherapy plan.
6.A nomogram model based on LASSO-Firth logistic regression to predict constipation risk in hospitalized adult patients with cardiovascular disease
Xiaoyan CHU ; Ying LIN ; Zhenzhen LU ; Zhixin ZHOU ; Xinyue DONG
Chinese Journal of Clinical Medicine 2026;33(4):599-606
Objective To construct a nomogram model for prediction of constipation risk in adult patients with cardiovascular disease (CVD). Methods A total of 780 adult patients with CVD admitted to Zhongshan Hospital, Fudan University from June 15, 2025 to August 15, 2025 were prospectively enrolled and randomly divided into a training set and a validation set at a 7∶3 ratio. Risk factors for constipation were identified using the least absolute shrinkage and selection operator (LASSO) and Firth logistic regressions, and a nomogram model was subsequently constructed in the training set. Receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to evaluate the discrimination ability of the model. Calibration curve and decision curve analysis (DCA) were used to assess calibration and clinical applicability. The value of model was evaluated in the validation set. Results Among 780 adult patients with CVD, 391 patients (50.1%) developed constipation. Eleven variables were selected by LASSO regression and Firth logistic regression, and a nomogram model was constructed. The ROC curve showed that the AUCs of the model to predict constipation in adult patients with CVD in training and validation sets were 0.881 and 0.883, respectively. Calibration curves and DCA demonstrated good calibration and predictive performance of the model in training and validation sets. Conclusions The nomogram model based on LASSO-Firth logistic regression demonstrates good predictive performance and may serve as a useful tool for identifying adult patients with CVD at high risk of constipation.
7.Optimization of HBV detection in NDR samples from blood donors
Qiang ZHANG ; Yuan ZHOU ; Liuming ZHANG ; Weiyu YUAN ; Baifeng SHAN ; Zhiye LI ; Lixia DOU ; Aichun CHU ; Xuehua HE
Chinese Journal of Blood Transfusion 2026;39(9):1223-1230
Objective: To evaluate the effect of repeated testing combined with cross-validation using different principles of NAT systems on improving the detection rate of occult HBV infection (OBI) in HBsAg-negative/NDR samples. Methods: A total of 89 NDR samples from the Taiyuan Blood Center between August 2024 and May 2025 were enrolled. All samples were tested for HBsAg by ELISA and subjected to NAT screening using the Roche system (PCR method). For all HBsAgnegative, MPNAT+/IDNAT (NDR) samples, further crossvalidation was performed using repeat IDNAT with the Roche system and the Grifols system (TMAbased) dHBV discriminatory assay; in addition, HBV serological markers were detected, and the results were confirmed by realtime quantitative PCR and nested PCR with sequencing genotyping. The NAT yield/window period ratio model was used to estimate the residual risk of HBV transfusion for the Roche single system in actual use, and the theoretical residual risk was calculated by assuming that the Grifols system was applied to individual screening of all blood donors. Results: The detection rate of HBsAg-negative/NDR was 0.99‰ (89/90 115), consistent with the national average. Among the 89 NDR samples, 4 were confirmed as HBV DNA-positive by nested PCR (viral load 15 - 20 IU/mL), including 3 of genotype C1 and 1 of genotype B2. Serological analysis showed that the anti-HBc positivity rate in NDR samples was 24.7% (22/89); all 4 OBI samples were antiHBcpositive (18.2%) and none were antiHB-spositive. In the single-NAT system, the residual risk for first-time donors (RR_FD) was 48.98/10
person-years for the Roche system and 21.01/10
person-years for the Grifols system, both higher than the corresponding residual risk for repeat donors (RR_RD: 15.23/10
and 9.80/10
person-years, respectively), but the differences showed no statistical significance (P>0.05). Conclusion: Implementing repeated testing combined with cross-validation using different principles of NAT systems can effectively increase the detection rate of low-viral-load OBI and reduce the risk of missed detection.
8.Toxic effects of chlorinated organophosphate flame retardants on mice via different exposure routes
Jialei ZHU ; Meiyu ZHOU ; Huanhuan ZHU ; Ruiyang TIAN ; Dahua REN ; Haiping LIU ; Xuanying JIANG ; Linfan XU ; Ying LU ; Haiyan CHU
Chinese Journal of Preventive Medicine 2025;59(7):1031-1039
Objective:To evaluate the effects of chlorinated organophosphate flame retardants (Cl-OPFRs) via respiratory and digestive tract exposure on multiple organs in mice.Methods:A short-term repeated exposure model of tris(2-chloroethyl) phosphate (TCEP), tris(1-chloro-2-propyl) phosphate (TCIPP) and tris(1, 3-dichloro-2-propyl) phosphate (TDCIPP) in mice was established through intratracheal instillation and oral gavage administration. The exposure doses were 0.7, 1 and 2 mg·kg -1·day -1, respectively, with continuous administration for 14 days. The organs of the heart, liver, spleen, lung, kidney, stomach, large intestine, small intestine, bladder and testis were collected and weighed to calculate the organ coefficients. The pathological and histological changes were observed by hematoxylin-eosin staining to quantitatively assess the effects of the three Cl-OPFRs on the various organs by using the pathology score. Results:Analysis of organ coefficients in tracheal drip-treated mice showed that the organ coefficients in the testes of the TCEP, TCIPP and TDCIPP groups were lower than those in the control group ( PTCEP-testis=0.045, PTCIPP-testis=0.012 and PTDCIPP-testis<0.001). The organ coefficients were lower in the lungs and small intestines of the TCEP group ( PTCEP-lung=0.006, PTCEP-small intestine=0.042). The organ coefficients for the stomach and large intestine were higher in the TDCIPP group ( PTDCIPP-stomach=0.014, PTDCIPP-large intestine=0.049). Analyses of gavage-contaminated mice showed that the organ coefficients for liver, stomach and small intestine in the TCEP and TDCIPP groups were higher than those in the control group ( PTCEP-liver=0.007, PTCEP-stomach=0.003, PTCEP-small intestine<0.001, PTDCIPP-liver=0.001, PTDCIPP-stomach=0.004, and PTDCIPP-small intestine<0.001). Histopathological analyses of the organs of tracheal drip dyed mice showed significant pathological damage in the lung tissue of the TCIPP group, mainly in the form of thickening of the interstitium, infiltration of inflammatory cells and alveolar collapse. The results of the analysis of gavage poisoned mice showed that TCIPP exposure could lead to blurring of the red and white medullary boundaries of spleen tissues, destruction of white medullary structures, etc., and induce small intestinal cryptitis. TDCIPP induced significant pathological damage to the liver tissues of mice, which mainly included cytoplasmic washout, infiltration of inflammatory cells, acute inflammation, and other injurious effects. Significant pathological damage to the intestinal tissues of mice was also observed. Conclusions:This study demonstrates that the toxic effects of Cl-OPFRs are significantly associated with exposure routes and compound specificity. Respiratory exposure predominantly induces TCIPP-mediated pulmonary injury, while digestive exposure causes TDCIPP-driven hepatointestinal toxicity. These findings provide preliminary evidence for the toxicity screening of Cl-OPFRs.
9.Deep learning-based fusion of color and spectral features from hyperspectral imaging for the origin identification of Salvia miltiorrhiza
Bai RUIBIN ; Xiong FENG ; Wang HUI ; Luan MEIQI ; Zhou JUNHUI ; Wan XIUFU ; Zhao ZIHAN ; Zhang XIAOBO ; Zhang CHU ; Yang JIAN
Science of Traditional Chinese Medicine 2025;3(3):250-258
Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72%by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.
10.Application of artificial intelligence quantitative analysis in prognostic evaluation of patients with connective tissue disease-associated interstitial lung disease
Jingyu XU ; Chen CHU ; Shengnan ZHAO ; Ying WEI ; Feng SHI ; Zhengyang ZHOU
Journal of Practical Radiology 2025;41(7):1129-1133
Objective To explore the application of artificial intelligence quantitative analysis in the prognostic assessment of patients with connective tissue disease-associated interstitial lung disease(CTD-ILD).Methods A total of 67 patients with CTD-ILD were retrospectively selected.All subjects underwent high-resolution computed tomography(HRCT)scanning and were categorized into three groups,namely mild,moderate and severe groups,based on the results of pulmonary function tests.The survival rates of patients in each group were compared using Kaplan-Meier curves and analysis of variance.The univariate analysis was employed to assess the rela-tionships between artificial intelligence parameters and patient prognosis.Significant results were then incorporated into a multifacto-rial Cox regression model to construct the most accurate predictive model.Results A significant difference in survival rate was observed among the three groups(P<0.05).Univariate analysis revealed that the volume and percentage of lung infection in deceased patients were significantly greater than those in surviving patients,while the lung volume in deceased patients was significantly smaller than that in surviving patients.The analysis showed left lung volume and the percentage of lesion components CT value≤-750 HU as risk factors for prognosis,and the combination of these two factors as the most effective predictive model.Conclusion The artificial intelligence analysis system for lung lesions provides a new systematic and quantitative method for the prognostic assessment of CTD-ILD patients,which can be used for the prognostic assessment and follow-up of CTD-ILD patients.

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