Objective To address the need for rapid review of automated organ-at-risk (OAR) contouring for head-and-neck cancer in online adaptive radiotherapy, this study used dosimetric indices as the reference standard to evaluate the suitability of geometric similarity metrics and to develop a rapid screening model that balances the risk of missed errors with review efficiency. Methods This retrospective study included 29 patients with head-and-neck radiotherapy, yielding 243 pairs of OAR contours (auto-generated vs. manual). Geometric similarity metrics, including the Dice similarity coefficient (Dice), the 95th percentile Hausdorff distance (HD95), and the maximum Hausdorff distance (HD100), were computed between the two contour sets. Using the dose distributions from clinical treatment plans, dosimetric differences between the two contour sets were calculated for key indices, including mean dose (D_mean) and maximum dose (D_max). Correlations between geometric metrics and dosimetric differences were analyzed. Dosimetric discrepancy events were defined as Y_3Gy using a threshold of 3 Gy. Within a univariable logistic regression triage framework, each geometric metric was used as an independent variable to estimate the probability of Y_3Gy. Discriminative performance was assessed using receiver operating characteristic (ROC) curves and precision-recall (PR) curves, with the area under the curve (AUC) including ROC-AUC and PR-AUC. Practical operating thresholds were determined via threshold sweeping. Results Geometric similarity metrics showed weak-to-moderate correlations with dosimetric differences; compared with maximum dose, correlations with mean dose differences were more consistent. Among the evaluated metrics, HD95 achieved the best classification performance for Y_3Gy. Threshold sweeping suggested that an HD95 threshold in the range of 4-9 mm can balance the risk of missed discrepancies with the efficiency of automated contour quality assurance (QA). Conclusion Several geometric similarity metrics demonstrated only weak-to-moderate associations with dosimetric differences. For head-and-neck OAR contour QA in this study, HD95 provided the best discriminative performance and can support rapid triage of automated contours, with a practical operating threshold range of 4-9 mm, potentially improving the efficiency of adaptive radiotherapy workflows.

Objective To address the need for rapid review of automated organ-at-risk (OAR) contouring for head-and-neck cancer in online adaptive radiotherapy, this study used dosimetric indices as the reference standard to evaluate the suitability of geometric similarity metrics and to develop a rapid screening model that balances the risk of missed errors with review efficiency. Methods This retrospective study included 29 patients with head-and-neck radiotherapy, yielding 243 pairs of OAR contours (auto-generated vs. manual). Geometric similarity metrics, including the Dice similarity coefficient (Dice), the 95th percentile Hausdorff distance (HD95), and the maximum Hausdorff distance (HD100), were computed between the two contour sets. Using the dose distributions from clinical treatment plans, dosimetric differences between the two contour sets were calculated for key indices, including mean dose (D_mean) and maximum dose (D_max). Correlations between geometric metrics and dosimetric differences were analyzed. Dosimetric discrepancy events were defined as Y_3Gy using a threshold of 3 Gy. Within a univariable logistic regression triage framework, each geometric metric was used as an independent variable to estimate the probability of Y_3Gy. Discriminative performance was assessed using receiver operating characteristic (ROC) curves and precision-recall (PR) curves, with the area under the curve (AUC) including ROC-AUC and PR-AUC. Practical operating thresholds were determined via threshold sweeping. Results Geometric similarity metrics showed weak-to-moderate correlations with dosimetric differences; compared with maximum dose, correlations with mean dose differences were more consistent. Among the evaluated metrics, HD95 achieved the best classification performance for Y_3Gy. Threshold sweeping suggested that an HD95 threshold in the range of 4-9 mm can balance the risk of missed discrepancies with the efficiency of automated contour quality assurance (QA). Conclusion Several geometric similarity metrics demonstrated only weak-to-moderate associations with dosimetric differences. For head-and-neck OAR contour QA in this study, HD95 provided the best discriminative performance and can support rapid triage of automated contours, with a practical operating threshold range of 4-9 mm, potentially improving the efficiency of adaptive radiotherapy workflows.

Objective To address the need for rapid review of automated organ-at-risk (OAR) contouring for head-and-neck cancer in online adaptive radiotherapy, this study used dosimetric indices as the reference standard to evaluate the suitability of geometric similarity metrics and to develop a rapid screening model that balances the risk of missed errors with review efficiency. Methods This retrospective study included 29 patients with head-and-neck radiotherapy, yielding 243 pairs of OAR contours (auto-generated vs. manual). Geometric similarity metrics, including the Dice similarity coefficient (Dice), the 95th percentile Hausdorff distance (HD95), and the maximum Hausdorff distance (HD100), were computed between the two contour sets. Using the dose distributions from clinical treatment plans, dosimetric differences between the two contour sets were calculated for key indices, including mean dose (D_mean) and maximum dose (D_max). Correlations between geometric metrics and dosimetric differences were analyzed. Dosimetric discrepancy events were defined as Y_3Gy using a threshold of 3 Gy. Within a univariable logistic regression triage framework, each geometric metric was used as an independent variable to estimate the probability of Y_3Gy. Discriminative performance was assessed using receiver operating characteristic (ROC) curves and precision-recall (PR) curves, with the area under the curve (AUC) including ROC-AUC and PR-AUC. Practical operating thresholds were determined via threshold sweeping. Results Geometric similarity metrics showed weak-to-moderate correlations with dosimetric differences; compared with maximum dose, correlations with mean dose differences were more consistent. Among the evaluated metrics, HD95 achieved the best classification performance for Y_3Gy. Threshold sweeping suggested that an HD95 threshold in the range of 4-9 mm can balance the risk of missed discrepancies with the efficiency of automated contour quality assurance (QA). Conclusion Several geometric similarity metrics demonstrated only weak-to-moderate associations with dosimetric differences. For head-and-neck OAR contour QA in this study, HD95 provided the best discriminative performance and can support rapid triage of automated contours, with a practical operating threshold range of 4-9 mm, potentially improving the efficiency of adaptive radiotherapy workflows.

Objective:To analyze the gene chip related to dermatomyositis based on bioinformatics,to explore the immune in-filtration mechanism of key genes in dermatomyositis by CIBERSORT deconvolution algorithm,and to predict the therapeutic targets of dermatomyositis by network pharmacology.Methods:The gene microarray of dermatomyositis was searched in GEO database,and the differentially coexpressed genes were screened and analyzed.The differentially coexpressed genes were analyzed by GO analysis,KEGG analysis,protein interaction network construction(PPI)by R software package.Verify the expression levels of key genes,and the correlation of immune cell infiltration was analyzed by CIBERSORT deconvolution method.Through the medical ontology informa-tion retrieval platform Coremine medical database,the traditional Chinese medicine treatment targets of dermatomyositis were screened and summarized.Results:A total of 196 differentially expressed genes were screened.GO enrichment analysis showed that these differentially expressed genes were mainly concentrated in defense response to virus,blood particles,double-stranded RNA binding,polypeptide antigen binding,and so on.KEGG enrichment analysis showed that it was enriched in RIG-Ⅰ-like receptor sig-nal pathway,Toll-like receptor signal pathway and other signal pathways related to the pathogenesis of dermatomyositis.Finally,four key genes of dermatomyositis,STAT1,ISG15,IRF7 and IRF9 were obtained.Through CIBERSORT algorithm,M1 macrophages,M2 macrophages and CD8+T cells were the three kinds of cells with the highest average proportion and the most obvious immune infil-tration,and there was a significant positive correlation between activated natural killer cells and activated dendritic cells,while there was a significant negative correlation between resting mast cells and activated mast cells.The therapeutic targets of traditional Chinese medicine such as fish brain stone were predicted based on Coremine medical database;through channel analysis,it could be found that these traditional Chinese medicines are mainly attributed to liver meridian,lung meridian,spleen meridian;efficacy analysis is mainly focused on clearing heat,detoxification,promoting blood circulation and removing blood stasis,relieving cough and resolving phlegm and so on.Conclusion:Four key genes and some key signal pathways of dermatomyositis,STAT1,ISG15,IRF7 and IRF9 were obtained by bioinformatics method,the immune infiltration mechanism was analyzed by CIBERSORT algorithm,and the thera-peutic potential targets of traditional Chinese medicine were screened out to provide direction for the pathogenesis and treatment of der-matomyositis.

Objective:To investigate the changes of T lymphocyte subsets in patients with stage Ⅰ and Ⅱ cervical cancer after surgery and their relationship with postoperative lymph node metastasis according to the International Federation of Gynecology and Obstetrics (FIGO) stage (2014) .Methods:A total of 192 patients with FIGO stage ⅠA, ⅠB1, ⅠB2 and ⅡA1 who received radical cervical cancer resection and pelvic lymph node dissection in People's Hospital of Yuechi County of Sichuan Province and West China Guang'an Hospital of Sichuan University from November 2018 to November 2020 were selected for this study. According to FIGO stage, patients were divided into stage Ⅰ group ( n=85) and stage Ⅱ group ( n=107) . The dynamic changes of T lymphocytes subsets in patients with different FIGO stages were compared before and after surgery. Repeated measurement of variance was used to analyze the levels of T lymphocytes subsets in patients of different stages during treatment. Logistic regression was used to analyze the influencing factors of postoperative lymph node metastasis in patients with cervical cancer. Multivariate logistic regression was used to analyze the relationship between T lymphocytes subsets and postoperative lymph node metastasis. Receiver operator characteristic (ROC) curve was used to analyze the predictive efficacy of T lymphocytes level in postoperative lymph node metastasis. Results:The postoperative lymph node metastasis rate in stage Ⅱ patients [32.71% (35/107) ] was higher than that in stage Ⅰ patients [14.12% (12/85) ], with a statistically significant difference ( χ2=8.86, P=0.003) . Compared with the stage Ⅱ group, the levels of CD3 +, CD4 + T lymphocytes and CD4 +/CD8 + ratio were significantly higher in the stage Ⅰ group 1 day before surgery (all P<0.001) , and the level of CD8 + T lymphocytes was significantly lower ( P<0.001) . The levels of CD3 +, CD4 +, CD8 + T lymphocytes and the ratio of CD4 +/CD8 + showed dynamic changes at different stages after surgery. On 1, 7 and 30 days after surgery, the levels of CD3 +, CD4 + T lymphocytes and the ratio of CD4 +/CD8 + in stage Ⅰ group were higher than those in stage Ⅱ group (all P<0.001) , CD8 + T cell levels were lower than those in stage Ⅱ group (all P<0.001) . There were statistically significant differences in T lymphocytes subsets CD3 +, CD4 +, CD8 + and CD4 +/CD8 + time effect, intergroup effect and interaction effect between the two groups (all P<0.001) . Univariate analysis showed that the pathological type ( OR=1.85, 95% CI: 1.14-2.33, P=0.015) , differentiation degree ( OR=1.93, 95% CI: 1.18-2.67, P=0.024) , depth of myometrial invasion ( OR=2.08, 95% CI: 1.26-2.59, P=0.012) , tumor morphology ( OR=2.17, 95% CI: 1.57-2.63, P=0.009) , parametrial invasion ( OR=1.95, 95% CI: 1.43-2.76, P=0.036) and lymphovascular space invasion ( OR=2.03, 95% CI: 1.28-2.57, P=0.021) were the influencing factors for postoperative lymph node metastasis in patients with FIGO stage Ⅰ and Ⅱ cervical cancer. Multivariate analysis showed that the degree of differentiation ( OR=1.75, 95% CI: 1.08-2.03, P=0.015) , depth of myometrial invasion ( OR=2.30, 95% CI: 1.43-2.84, P=0.021) , parametrial invasion ( OR=2.50, 95% CI: 1.76-2.97, P=0.018) and lymphovascular space invasion ( OR=1.96, 95% CI: 1.03-2.51, P=0.033) were independent factors for postoperative lymph node metastasis in patients with FIGO stage Ⅰ and Ⅱ cervical cancer. Multivariate logistic regression analysis showed that the levels of CD3 +, CD4 +, CD8 + T cells and the ratio of CD4 +/CD8 + in patients with stage Ⅰ and stage Ⅱ cervical cancer 1 day before surgery were independent influencing factors for postoperative lymph node metastasis (all P<0.05) . ROC curve analysis showed that the areas under the curve of CD3 +, CD4 +, CD8 + T lymphocytes levels and the ratio of CD4 +/CD8 + in stage Ⅰ patients 1 day before surgery for predicting postoperative lymph node metastasis were 0.86, 0.82, 0.83, 0.89, respectively, and those in stage Ⅱ patients were 0.90, 0.93, 0.87, 0.95, respectively. CD4 +/CD8 + ratio was significantly more effective in predicting postoperative lymph node metastasis than other indexes (all P<0.001) . Conclusions:The levels of CD3 +, CD4 + T lymphocytes, and the CD4 +/CD8 + ratio in patients with FIGO stage Ⅰ and Ⅱ cervical cancer are significantly higher in 1-30 days after surgery than before, while the level of CD8 + T lymphocytes is significantly lower than before. There is a significant correlation between T lymphocytes subsets and lymph node metastasis after surgery. In addition, low differentiation, depth of myometrial invasion ≥1/2, parametrial invasion, and lymphovascular space invasion are independent risk factors for postoperative lymph node metastasis.

Objective:To analyze the gene chip related to dermatomyositis based on bioinformatics,to explore the immune in-filtration mechanism of key genes in dermatomyositis by CIBERSORT deconvolution algorithm,and to predict the therapeutic targets of dermatomyositis by network pharmacology.Methods:The gene microarray of dermatomyositis was searched in GEO database,and the differentially coexpressed genes were screened and analyzed.The differentially coexpressed genes were analyzed by GO analysis,KEGG analysis,protein interaction network construction(PPI)by R software package.Verify the expression levels of key genes,and the correlation of immune cell infiltration was analyzed by CIBERSORT deconvolution method.Through the medical ontology informa-tion retrieval platform Coremine medical database,the traditional Chinese medicine treatment targets of dermatomyositis were screened and summarized.Results:A total of 196 differentially expressed genes were screened.GO enrichment analysis showed that these differentially expressed genes were mainly concentrated in defense response to virus,blood particles,double-stranded RNA binding,polypeptide antigen binding,and so on.KEGG enrichment analysis showed that it was enriched in RIG-Ⅰ-like receptor sig-nal pathway,Toll-like receptor signal pathway and other signal pathways related to the pathogenesis of dermatomyositis.Finally,four key genes of dermatomyositis,STAT1,ISG15,IRF7 and IRF9 were obtained.Through CIBERSORT algorithm,M1 macrophages,M2 macrophages and CD8+T cells were the three kinds of cells with the highest average proportion and the most obvious immune infil-tration,and there was a significant positive correlation between activated natural killer cells and activated dendritic cells,while there was a significant negative correlation between resting mast cells and activated mast cells.The therapeutic targets of traditional Chinese medicine such as fish brain stone were predicted based on Coremine medical database;through channel analysis,it could be found that these traditional Chinese medicines are mainly attributed to liver meridian,lung meridian,spleen meridian;efficacy analysis is mainly focused on clearing heat,detoxification,promoting blood circulation and removing blood stasis,relieving cough and resolving phlegm and so on.Conclusion:Four key genes and some key signal pathways of dermatomyositis,STAT1,ISG15,IRF7 and IRF9 were obtained by bioinformatics method,the immune infiltration mechanism was analyzed by CIBERSORT algorithm,and the thera-peutic potential targets of traditional Chinese medicine were screened out to provide direction for the pathogenesis and treatment of der-matomyositis.

OBJECTIVE To predict biomarkers of type 2 inflammation in chronic rhinosinusitis with nasal polyps(CRSwNP)by employing peripheral blood indicators.METHODS CRSwNP patients admitted to the Rhinology Department of Beijing Tongren Hospital from June 2020 to May 2022 were enrolled and their basic clinical data were collected.The blood percentage of eosinophils(Eos%),Eos count,periostin and total IgE,as well as mucosal interleukin-5(IL-5)and Staphylococcus aureus enterotoxin-immunoglobulin E(SE-IgE)were tested.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of each blood indicator for positive mucosal expression of IL-5/SE-IgE.The logistic regression was employed to screen multiple blood indicators with predictive value for positive mucosal expression of IL-5/SE-IgE in order to construct a nomogram model.RESULTS The proportion of asthma,blood Eos%,periostin and total IgE in CRSwNP patients showed statistical differences between IL-5/SE-IgE positive and negative subgroups.ROC univariate analysis demonstrated that blood Eos%,Eos count,periostin and total IgE could predict mucosal IL-5 positivity with AUC ranging from 0.655 to 0.784,and mucosal SE-IgE positivity with AUC ranging from 0.721-0.802.The logistic regression confirmed that blood Eos%and total IgE,as well as blood periostin and total IgE were independent predictors for mucosal IL-5 and SE-IgE positivity,respectively.The nomogram models were constructed for predicting IL-5/SE-IgE positivity in CRSwNP mucosa,with consistency incides(C-index)of 0.804 and 0.81,indicating good predictive accuracy.CONCLUSION The nomograms constructed based on blood Eos%and total IgE,as well as blood periostin and total IgE,could have good predictive value for the positive mucosal expression of IL-5 and SE-IgE in the CRSwNP,which help to predict the severity of endotype and phenotype of CRSwNP.

Objective·To analyze the epidemiological characteristics of risk factors for cardiovascular diseases and malignant tumors based on the Shanghai community elderly cohort.Methods·The study subjects were selected from the Shanghai community elderly cohort established from February to August 2019,with a total of 17 948 people.The study subjects were divided into 4 groups according to self-reported presence or absence of tumors and/or cardiovascular diseases during the baseline survey:tumor-free and non-cardiovascular disease group,single cardiovascular disease group,single tumor group and tumor cardiovascular disease co-occurrence group.The differences among the four groups of subjects were collected and compared in terms of demographic characteristics and physiological indicators,daily living habits(smoking,drinking tea,drinking coffee,drinking carbonated drink,drinking alcohol,sedentary time,physical activity level and sleep quality),past medical history,psychological status(depression and anxiety)and dietary compliance.Results·Among the study subjects,60.1%of tumor patients were complicated with cardiovascular diseases.The differences among the four groups of subjects in age,gender,educational level,pre-retirement occupation,waist circumference,hip circumference and body mass index were statistically significant(all P<0.05).Compared with the tumor-free and non-cardiovascular disease group,the single cardiovascular disease group,single tumor group and tumor cardiovascular disease co-occurrence group all exhibited lower proportions of smoking and high physical activity levels(all P<0.05),and higher proportion of sedentary time exceeding 4 h/d and poor sleep quality(all P<0.05);the proportion of subjects with past medical histories including hyperlipidemia,peripheral vascular disease,endocrine system disease,respiratory system disease,urinary system disease and digestive system disease of the single cardiovascular disease group and the tumor cardiovascular disease co-occurrence group was higher(all P<0.05),and the proportion of subjects with depression and anxiety was also higher(all P<0.05).Furthermore,compared with the tumor-free and non-cardiovascular disease group,the single cardiovascular disease group had lower compliance rates of poultry,fish,fruit and liquid milk(all P<0.05).Among the four groups,only the compliance rate of vegetable intake exceeded 50%,while the compliance rates of poultry,fish,fruit,liquid milk and tubers were all below 20%.Conclusion·In the elderly population of Shanghai communities,over half of malignant tumor patients are concomitant with cardiovascular diseases.Unhealthy daily habits are prevalent among those with cardiovascular diseases,tumors and tumor-cardiovascular disease co-occurrence.The intake of many foods in the elderly of the community do not reach the levels recommended by Chinese Dietary Guidelines.

Autologous ozonized blood transfusion(AOBT) is a therapy of re-transfusion of 100-200 mL of autologous blood after shaking and agitation with appropriate amount of oxygen-ozone in vitro. The oxidation of blood through the strong oxidation of ozone can enhance the non-specific immune response of the body, regulate the internal environment and promote health. This therapy has been increasingly applied in clinical practice, while no unified standard for the operation process in terms of ozone concentration, treatment frequency and treatment course had been established. This operation process of AOBT is primarily explored in order to standardize the operation process and ensure its safety and efficacy.

Osteoarthritis (OA) is a prevalent degenerative joint disease characterized by cartilage loss and accounts for a major source of pain and disability worldwide. However, effective strategies for cartilage repair are lacking, and patients with advanced OA usually need joint replacement. Better comprehending OA pathogenesis may lead to transformative therapeutics. Recently studies have reported that exosomes act as a new means of cell-to-cell communication by delivering multiple bioactive molecules to create a particular microenvironment that tunes cartilage behavior. Specifically, exosome cargos, such as noncoding RNAs (ncRNAs) and proteins, play a crucial role in OA progression by regulating the proliferation, apoptosis, autophagy, and inflammatory response of joint cells, rendering them promising candidates for OA monitoring and treatment. This review systematically summarizes the current insight regarding the biogenesis and function of exosomes and their potential as therapeutic tools targeting cell-to-cell communication in OA, suggesting new realms to improve OA management.
Apoptosis ; Cartilage/pathology* ; Cartilage, Articular/metabolism* ; Cell Communication ; Chondrocytes/metabolism* ; Exosomes/pathology* ; Humans ; Osteoarthritis/therapy*