Objective: To investigate the epidemiological and spatio-temporal characteristics of influenza in Jiaxing City, Zhejiang Province, so as to provide insights into perfecting the prevention and control strategies of influenza. Methods: Data of influenza in Jiaxing City from 2019 to 2023 were collected from the Chinese Disease Prevention and Control Information System. Population data of the same period were collected from the Zhejiang Health Information Network Reporting System. The epidemiological characteristics of influenza were analyzed using descriptive analysis. Vector map information was collected from the Open Street Map, and the spatio-temporal clustering characteristics of influenza were analyzed using spatial autocorrelation and spatio-temporal scanning. Results: A total of 181 501 cases of influenza were reported in Jiaxing City from 2019 to 2023, with an average annual reported incidence of 653.93/105. The majority of cases were aged 5 to <15 years (59 785 cases, 32.94%). The majority of the occupations were students (78 239 cases, 43.11%) and pre-school children (33 715 cases, 18.58%). The county (city, district) with the highest reported incidence was Haining City (1 451.70/105), and the town (street) with the highest reported incidence was Chang'an Town (1 932.78/105). Spatial autocorrelation analysis showed that the incidence of influenza in Jiaxing City from 2019 to 2023 had positive spatial correlations (all Moran's I>0, all P<0.05), with a high-high clustering in the southern region. Spatio-temporal scanning analysis showed that there was a spatio-temporal clustering of influenza in Jiaxing City from 2019 to 2023, with the southern region being the primary-type clustering area and the period between November and January of the following year being the clustering time. Conclusion There was a significant spatio-temporal clustering of influenza in Jiaxing City from 2019 to 2023, with winter being the peak season and the southern region being the primary area.

Objective: To investigate the epidemiological characteristics of pertussis in Jiaxing City from 2004 to 2023 and spatio-temporal clustering characteristics from 2022 to 2023, so as to provide insights into formulation of pertussis control measures. Methods: Data of pertussis cases in Jiaxing City from 2004 to 2023 were collected through the Infectious Disease Report Information System of Chinese Disease Prevention and Control Information System. The epidemiological characteristics of pertussis cases in Jiaxing City from 2004 to 2023 were descriptively analyzed, and the spatio-temporal clustering characteristics from 2022 to 2023 were analyzed using spatio-temporal scanning. Results: A total of 478 pertussis cases were reported in Jiaxing City from 2004 to 2023, with an average annual reported incidence of 0.53/105. The reported incidence showed an upward trend from 2004 to 2023 (P<0.05), with the highest in 2022 (3.17/105). Higher incidence of pertussis was reported in June to August (149 cases, 31.17%) and November to December (112 cases, 23.43%). There was no statistically significant difference in the reported incidence between males and females (0.56/105 vs. 0.50/105, P>0.05). The cases aged under one year accounted for the highest proportion, with 199 cases (41.63%). Haining City (0.68/105), Jiashan County (0.64/105) and Tongxiang City (0.60/105) ranked the top three in the reported incidence of pertussis. Spatio-temporal scanning analysis showed that from 2022 to 2023, the primary clustering area of pertussis was centered in Daqiao Town of Nanhu District, covering 27 towns (streets) in Nanhu District, Jiashan County, Xiuzhou District and Pinghu City, and the clustering time was from November to December, 2023. Conclusions The reported incidence of pertussis was at a low level in Jiaxing City, but showed an upward trend from 2004 to 2023. The incidence of pertussis was higher among infants under one year of age, peaked in June to August and November to December, and was concentrated in Nanhu District and its surrounding areas.

Recent advances in large models demonstrate significant prospects for transforming the field of medical imaging. These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in processing and interpreting complex medical data across various imaging modalities. By leveraging self-supervised pretraining on vast unlabeled datasets, cross-modal representation learning, and domain-specific medical knowledge adaptation through fine-tuning, large models can achieve higher diagnostic accuracy and more efficient workflows for key clinical tasks. This review summarizes the concepts, methods, and progress of large models in medical imaging, highlighting their potential in precision medicine. The article first outlines the integration of multimodal data under large model technologies, approaches for training large models with medical datasets, and the need for robust evaluation metrics. It then explores how large models can revolutionize applications in critical tasks such as image segmentation, disease diagnosis, personalized treatment strategies, and real-time interactive systems, thus pushing the boundaries of traditional imaging analysis. Despite their potential, the practical implementation of large models in medical imaging faces notable challenges, including the scarcity of high-quality medical data, the need for optimized perception of imaging phenotypes, safety considerations, and seamless integration with existing clinical workflows and equipment. As research progresses, the development of more efficient, interpretable, and generalizable models will be critical to ensuring their reliable deployment across diverse clinical environments. This review aims to provide insights into the current state of the field and provide directions for future research to facilitate the broader adoption of large models in clinical practice.
Humans ; Diagnostic Imaging/methods* ; Precision Medicine/methods* ; Image Processing, Computer-Assisted/methods*

Objective To investigate the role and mechanism of exosomes derived from mesenchymal stem cells in hyperbaric oxygen caused pulmonary oxygen toxicity.Methods Mice were divided into the control group that was exposed to normal air,and hyperbaric oxygen exposure groups treated with phosphate buffer saline(PBS)or exosomes,respectively.PBS and exosome treatment were given one day prior to exposure.Mice were subjected to 0.23 MPa pure oxygen for 8 hours.The lung wet-dry ratio,inflammation,exudation and pathological injury were analyzed,while cell death and antioxidant related molecules were detected.Results Pretreatment with exosome significantly attenuated lung injury caused by hyperbaric oxygen exposure by decreasing the lung wet-dry ratio,inflammation,and cell apoptosis.Conclusion Prophylactic administration of exosomes derived from mesenchymal stem cells can alleviate hyperbaric oxygen induced pulmonary oxygen poisoning by attenuating cell death and inflammation.

Objective:To explore the prognosis efficacy of psycho-cardiological therapy and management on patients with coronary atherosclerosis disease (CAD).Methods:This was a clinical randomized controlled study. This study included inpatients with CAD at the cardiology department in Beijing Anzhen Hospital, Capital Medical University from August 2021 to January 2024. The patients enrolled in this study were asked for basic information, and received measurements for depression, anxiety, sleep quality and living quality by the scales of Patient Health Questionnaire-9 (PHQ-9), General Anxiety Disorder scale-7 (GAD-7), Athens Insomnia Scale (AIS), EuroQol 5-dimension 5-level (EQ-5D-5L) respectively. The patients were randomly grouped into a regular treatment group and a psycho-cardiological treatment group which included WeChat management or antidepressant/antianxiety medical therapy according to the situation. After the patients discharging from hospital for 2, 4, 12, 24, 48, 72, and 96 weeks, professional cardiovascular doctors would follow up by telephone, WeChat, and outpatient department, including scales (2-48 weeks), and cardiac events (2-96 weeks). Kaplan-Meier survival curve and multivariate Cox proportional hazards model were used for analyzing the association between psycho-cardiological treatment and cardiac events.Results:This study recruited a total of 552 patients with CAD, aged 61.0(54.0, 67.0) years, and 379 (68.7%) were male. There were 279(50.5%) in the regular treatment group and 273(49.5%) in the psycho-cardiological treatment group. After treatment for 4, 12 and 48 weeks, the PHQ-9 score in psycho-cardiological was significantly lower than the regular treatment group; After treatment for 12 weeks, the EQ-5D-5L effective value in psycho-cardiological group was higher than the regular treatment group; After treatment for 2, 4, 12, 24 and 48 weeks, the EQ-5D-5L VAS score in psycho-cardiological group was higher than the regular therapy group (all P<0.05). The Kaplan-Meier survival curve showed that, during the different follow-up periods, the rate of cardiac events in psycho-cardiological treatment group was lower than regular treatment group (log-rank P<0.001). The multivariate Cox proportional hazards model adjusted the factor of age, the psycho-cardiological treatment contributed to reducing the cardiac events rate by 80.3% ( HR=0.197, 95% CI: 0.067-0.582, P=0.003). Conclusion:Psycho-cardiological treatment is beneficial for improving psychological stress, living quality, and reducing cardiac events, and helps to improve prognosis and psycho-cardiological rehabilitation in CAD patients.

Objective:To analyze the factors affecting delayed chemotherapy in children with Burkitt lymphoma (BL) and their influence on prognosis.Methods:Retrospective cohort study. Clinical data of 591 children aged ≤18 years with BL from May 2017 to December 2022 in China Net Childhood Lymphoma (CNCL) was collected. The patients were treated according to the protocol CNCL-BL-2017. According to the clinical characteristics, therapeutic regimen was divided into group A, group B and group C .Based on whether the total chemotherapy time was delayed, patients were divided into two groups: the delayed chemotherapy group and the non-delayed chemotherapy group. Based on the total delayed time of chemotherapy, patients in group C were divided into non-delayed chemotherapy group, 1-7 days delayed group and more than 7 days delayed group. Relationships between delayed chemotherapy and gender, age, tumor lysis syndrome before chemotherapy, bone marrow involvement, disease group (B/C group), serum lactate dehydrogenase (LDH) > 4 times than normal, grade Ⅲ-Ⅳ myelosuppression after chemotherapy, minimal residual disease in the interim assessment, and severe infection (including severe pneumonia, sepsis, meningitis, chickenpox, etc.) were analyzed. Logistic analysis was used to identify the relevant factors. Kaplan-Meier method was used to analyze the patients' survival information. Log-Rank was used for comparison between groups.Results:Among 591 patients, 504 were males and 87 were females, the follow-up time was 34.8 (18.6,50.1) months. The 3-year overall survival (OS) rate was (92.5±1.1)%,and the 3-year event-free survival (EFS) rate was (90.5±1.2)%. Seventy-three (12.4%) patients were in delayed chemotherapy group and 518 (87.6%) patients were in non-delayed chemotherapy group. The reasons for chemotherapy delay included 72 cases (98.6%) of severe infection, 65 cases (89.0%) of bone marrow suppression, 35 cases (47.9%) of organ dysfunction, 22 cases (30.1%) of tumor lysis syndrome,etc. There were 7 cases of chemotherapy delay in group B, which were seen in COPADM (vincristine+cyclophosphamide+prednisone+daunorubicin+methotrexate+intrathecal injection,4 cases) and CYM (methotrexate+cytarabine+intrathecal injection,3 cases) stages. There were 66 cases of chemotherapy delay in group C, which were common in COPADM (28 cases) and CYVE 1 (low dose cytarabine+high dose cytarabine+etoposide+methotrexate, 12 cases) stages. Multinomial Logistic regression analysis showed that the age over 10 years old ( OR=0.54,95% CI 0.30-0.93), tumor lysis syndrome before chemotherapy ( OR=0.48,95% CI 0.27-0.84) and grade Ⅲ-Ⅳ myelosuppression after chemotherapy ( OR=0.55,95% CI 0.33-0.91)were independent risk factors for chemotherapy delay.The 3-year OS rate and the 3-year EFS rate of children with Burkitt lymphoma in the delayed chemotherapy group were lower than those in the non-delayed chemotherapy group ((79.4±4.9)% vs. (94.2±1.1)%, (80.2±4.8)% vs. (92.0±1.2)%,both P<0.05). The 3-year OS rate of the group C with chemotherapy delay >7 days (42 cases) was lower than that of the group with chemotherapy delay of 1-7 days (22 cases) and the non-delay group (399 cases) ((76.7±6.9)% vs. (81.8±8.2)% vs. (92.7±1.3)%, P=0.002).The 3-year OS rate of the chemotherapy delay group (9 cases) in the COP (vincristine+cyclophosphamide+prednisone) phase was lower than that of the non-chemotherapy delay group (454 cases) ((66.7±15.7)% vs. (91.3±1.4)%, P=0.005). Similarly, the 3-year OS rate of the chemotherapy delay group (11 cases) in the COPADM1 phase was lower than that of the non-chemotherapy delay group (452 cases) ((63.6±14.5)% vs. (91.5±1.3)%, P=0.001). Conclusions:The delayed chemotherapy was related to the age over 10 years old, tumor lysis syndrome before chemotherapy and grade Ⅲ-Ⅳ myelosuppression after chemotherapy in pediatric BL. There is a significant relationship between delayed chemotherapy and prognosis of BL in children.

Objective To explore the feasibility of automatic segmentation of clinical target volume(CTV)and organs at risk(OARs)for cervical cancer using AccuLearning(AL)based on geometric and dosimetric indices.Methods Seventy-five CT localization images with manual contouring data of postoperative cervical cancer were enrolled in this study.Sixty cases were randomly selected to trained to generate automatic segmentation model by AL,and the CTV and OARs of the remaining 15 cases were automatically contoured.Radiotherapy plans on the automatic segmentation contours were imported on the CT images of manual contours.The efficiency,Dice similarity coefficient(DSC),Hausdorff distance(HD)and dosimetric parameters were compared between the two methods.Results The time of automatic segmentation was significantly shorter than that of the manual contour(P<0.05).The DSC of all structures were≥0.87.The HD of bowel bag and rectum were about 10 mm,and that of the rest of OARs were less than 5 mm.CTV(D98,V90% ,V95% ,Dmean,HI),bowel bag(V50)and bladder(V50)had significant differences in dosimetric comparison(P<0.05).Conclusion The automatic segmentation model based on AL can improve the efficiency of radiotherapy.Automatic segmentation of OARs has the potential of clinical application,while that of CTV still needs to be further modified.

Objective:This study was conducted to investigate the independent risk factors for predicting the occurrence of acute Stanford type A aortic dissection(TAAD), and to construct a nomogram model for predicting the occurrence of TAAD.Methods:The clinical data of patients meeting the diagnostic criteria for TAAD admitted to Tianjin Chest Hospital from June 2016 to December 2021 and healthy people examined by the physical examination center of Tianjin Chest Hospital during the same period were retrospectively collected, and the independent risk factors for TAAD were predicted by propensity matching analysis. Univariate and multivariate Logistic regression were used to analyze the variables with statistical differences, and a nomogram model was constructed to predict the occurrence of TAAD disease according to the screened risk factors. Results:A total of 148 patients in the TAAD group and 5 690 patients in the control group were collected. After bias matching analysis, 148 pairs were successfully matched. Multivariate Logistic regression analysis was performed on the matching results. The results showed that hypertension(HBP), diabetes mellitus(T2DM), Lp(a), very low density lipoprotein(VLDL) and apolipoprotein A1/B(ApoA1/B) were independent risk factors for the development of TAAD. HBP, Lp(a) and ApoA1/B were pathogenic factors( OR 7.267, 1.010 and 2.199, P<0.05, respectively), while T2DM and VLDL were protective factors( OR 0.173 and 0.139, P<0.05). Based on the independent risk factors obtained by multi-factor Logistic regression analysis, a nomogram model of TAAD incidence was constructed. The area under ROC curve( AUC) for predicting the onset of TAAD was 81.6%(95% CI: 0.766-0.863), and the internal calibration curve was close to the standard curve. Conclusion:This model has a good degree of differentiation and calibration, which is helpful for clinicians to guide healthy people to prevent the occurrence of TAAD and provide a theoretical basis for the prevention of TAAD.

The prevalence of diabetes mellitus in China has recently been increasing year by year,and spontaneous skin ulcers in diabetic patients,as one of the most serious complications,often develop on the patient's extremities represented by foot ulcers.Due to the complexity and variety of its pathogenesis,it leads to poor clinical outcomes and difficulty in healing.Thus,pa-tients often face the risk of amputation and death.Therefore,the exploration of mechanisms of the vascular pathogenesis of diabetic delayed-healing wounds and targeted screening of therapeutic agents has become a current research hotspot.Herein,in this paper,we briefly review the role of impaired angiogenesis and vascular dysfunction in diabetic skin ulcers,and the research progress of classical hypoglycemic and natural compounds against vascular lesions is preliminarily summarized to provide a theoretical basis for effective clinical treatment.

Objective To study the expression and clinical significance of neural Wiskott-Alrdich syndrome protein(N-WASP)in pla-centas with preeclampsia.Methods This study included a total of 65 pregnant women:15 in the early-onset preeclampsia group,15 in the early-onset control group,15 in the late-onset preeclampsia group,and 20 in the late-onset control group.Real-time fluorescence quan-titative PCR(RT-qPCR)was used to detect the relative expression of N-WASP mRNA in placental tissues.Western blotting and immu-nohistochemistry were used to detect the expression and position of N-WASP protein in placental tissues from each group.Results RT-qPCR revealed significantly lower N-WASP mRNA expression levels in the placental tissue of the early-onset preeclampsia group compared to those in the early-onset control group(0.50±0.19 vs.0.93±0.73,P＜0.05).The N-WASP mRNA expression levels in late-onset preeclampsia placenta were significantly lower than those in the late-onset control group(0.83±0.34 vs.1.15±0.34,P＜0.05).Western blotting revealed significantly lower N-WASP protein expression in the placental tissue of early-onset preeclampsia compared to that in the early-onset control group(0.35±0.17 vs.0.72±0.21,P＜0.05).The N-WASP protein expression in late-onset preeclampsia placenta was significantly lower than that in the late-onset control group(0.39±0.16 vs.0.76±0.20,P＜0.05).The N-WASP mRNA expression in the placenta negatively correlated with the occurrence of early-onset(r =-0.37,P = 0.042)and late-onset preeclampsia(r =-0.39,P = 0.019).Immunohistochemistry revealed that N-WASP protein was localized in the cytoplasm of syncytiotrophoblasts,cytotrophoblasts,villous stromal cells,and vascular endothelial cells.Conclusion The low expression of N-WASP may be closely associated with preeclampsia.