BACKGROUND:The repair process of myocardial injury involves complex cellular and molecular mechanisms,especially mitochondrial calcium homeostasis,macrophage autophagy and pyroptosis pathways.Traditional Chinese medicine(TCM)has shown significant clinical efficacy in improving myocardial injury,but its mechanism of action needs to be thoroughly investigated. OBJECTIVE:To investigate the role of mitochondrial calcium homeostasis-mediated macrophage autophagy and pyroptosis pathways in myocardial injury,and to summarize the progress of TCM in this field. METHODS:A computerized search was performed for relevant literature from the database inception to March 2024 in the Web of Science,PubMed and CNKI.The search terms were"mitochondrial calcium homeostasis,macrophage autophagy,macrophage pyroptosis,traditional Chinese medicine,myocardial injury,myocardial injury reperfusion"in Chinese and English.Through literature review,we analyzed the relationship between mitochondrial calcium homeostasis and macrophage autophagy and pyroptosis,explored the mechanism of their roles in myocardial injury,and summarized the pathways of multi-targeted,multi-pathway effects of TCM. RESULTS AND CONCLUSION:The maintenance of mitochondrial calcium homeostasis has been found to be closely related to the normal function of cardiomyocytes.Macrophages can participate in the repair process of myocardial injury through autophagy and pyroptosis pathways.Autophagy contributes to cell clearance and regulation of inflammatory response,while pyroptosis affects myocardial repair by releasing inflammatory factors.TCM regulates mitochondrial calcium homeostasis and macrophage function through multiple mechanisms.For example,astragalosid regulates calcium homeostasis by lowering mitochondrial membrane potential and inhibiting cytochrome C,and epimedium glycoside plays a role in reducing β-amyloid deposition.In addition,herbal compounds and single drugs promote myocardial repair by activating or inhibiting specific signaling pathways,such as PI3K/AKT and nuclear factor-κB signaling pathways.Future studies should focus on the interactions between mitochondrial calcium homeostasis,autophagy and pyroptosis pathways,as well as how TCM can exert therapeutic effects through these pathways to provide new strategies and drugs for the treatment of myocardial injury.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective:To compare the differences of three-dimensional computed tomography(3DCT),four-dimensional computed tomography(4DCT),and multi-parametric magnetic resonance(MR)sequences of the radiotherapy for liver cancer in delineation for target area,and analyze which MR sequence was more accurate in assisting CT image to delineate the target area,and design respectively reverse intensity modulated radiotherapy plan,and compare the dosimetric parameters of the target areas of receiving radiotherapy and normal liver tissue.Methods:This retrospective study was conducted to analyze radiotherapy data from case data of 18 patients with hepatocellular carcinoma(HCC)who admitted to the First Affiliated Hospital of Bengbu Medical University between August 2023 and June 2024.These data included 10 respiratory phases in 3DCT and 4DCT,and free-breathing sequence(MR-FB),diaphragm navigation sequence(MR-NAVI),and breath-hold(MR-BH)sequence of multi-parametric MRI,and the gross tumor volumes(GTVs)of them were delineated,which were respectively 5 modal images and liver contours included GTV3D,GTV4D,GTVMR-FB,GTVMR-NAVI,and GTVMR-BH.Pinnacle3 9.8 treatment plan system(TPS)was applied to conduct registration and fusion for image by using mutual information method.The 3DCT(GTV3D)was used as reference image to compare the volume of target area,and the displacement of mass center with other 4 kinds of images.The volume difference(VD),overlap ratio(OR),Dice similarity coefficient(DSC),and Jaccard index(JAC)were used to assess the differences among different target area.The indicators of plan evaluation included conformity index(CI),homogeneity index(HI),GTV doses(D2%,D98%,Dmean),and the exposure dose of normal tissue of liver.Results:In images of five modalities,the GTV median volumes were respectively 28.83,33.10,26.75,25.05,and 22.65 cm3.In images of five modalities,the median volume of liver were respectively 1293.46,1483.09,1213.81,1195.69,and 1141.02 cm3.Compared with other 3 target areas,the displacement of GTVMR-BH was the smallest on head-foot direction,with statistically significant differences among them(Z=-2.305,-2.307,-2.134,P<0.05).The OR,DSC,and JAC values of GTV4D were significantly better than these of GTVMR-FB,GTVMR-NAVI,and GTVMR-BH(ZOR=-2.911,-3.006,-3.195,ZDSC=-2.726,-2.215,-2.556,ZJAC=-2.556,-2.704,-2.953,P<0.05).The VD value of GTVMR-FB was better than that of GTV4D,GTVMR-NAVI,and GTVMR-BH,with statistically significant(Z=-2.675,-2.817,-2.580,P<0.05).Additionally,the OR,DSC,and JAC values of GTVMR-FB and GTVMR-NAVI were better than those of GTVMR-BH,with statistically significant(ZOR=-2.859,-2.817,ZDSC=-2.184,-2.783,ZJAC=-2.385,-2.783,P<0.05).All five plans met clinical dose requirements.Friedman test showed there was no statistically significant differences in dosimetric parameters of target area among different plans(P>0.05).However,compared to the PTV3D plan,the PTVMR-FB,PTVMR-NAVI,and PTVMR-BH plans resulted in lower levels in mean dose(Dmean)of liver and volume parameters(V5,V10,V20,V30)of various doses,with statistically significant differences(Dmean:Z=-2.433,-2.307,-2.807,ZV5=-2.512,-2.433,-2.652,ZV10=-2.433,-2.536,-2.968,ZV20=-2.536,-2.652,-2.807,ZV30=-2.611,-2.652,-2.968,P<0.05).Conclusion:In actually clinical application,MR-NAVI and 4DCT also can be adopted to assist 3DCT to delineate target area besides MR-FB sequence that is conventionally used in MR location,thus can enhance precision of delineation,and optimize radiotherapy plan,and decrease exposure dose of normal liver tissue.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: To analyze the epidemiological characteristics and changing trends of non suicidal self injury (NSSI) behaviors among middle school students in Jiading District of Shanghai, from 2015 to 2023, so as to provide a basis for the development of NSSI prevention and control measures among students. Methods: Using a stratified cluster random sampling method, a total of five times for Shanghai Adolescent Health Risk Behavior Surveys were conducted for every two years in Jiading District of Shanghai from 2015 to 2023. A total of 5 231 middle school students from junior high schools and senior high schools were selected for questionnaire surveys. Intergroup comparisons were performed using the x 2 test or the χ 2 trend test, and the JointPoint 5.0 software was used to analyze the changing trends, with the annual percent change (APC) used for evaluation. A binary Logistic regression model was employed to analyze the related factors of NSSI behavior among middle school students. Results: In 2023, the reported NSSI rate among middle school students in Jiading District was 14.2%. The rate was significantly higher among junior high school students (17.1%) than that among senior high school students (11.1%), and higher among females (19.2%) than that among males (10.0%) ( χ 2=10.04, 23.21, both P <0.01). From 2015 to 2023, the overall reported NSSI rate showed an increasing trend, rising from 8.6% in 2015 to 14.2% in 2023 ( χ 2 trend =22.25), with an APC of 6.64% ( t =3.49), and the APC for girls was 9.79 % ( t =3.20) (all P <0.05). Among students reporting NSSI, the proportion experiencing ≥6 episodes increased from 10.8% in 2015 to 19.2% in 2023 ( χ 2 trend =6.57, P <0.05). Multivariate Logistic regression analysis indicated that girls, junior high school students, those with insomnia, depressive emotion and drinkers had higher risks of NSSI, compared to boys, senior high school students, those without insomnia, non depressive emotion students and non drinkers ( OR =1.71, 1.96, 3.44, 4.76, 1.77, all P < 0.05 ). Conclusions The reported rate of NSSI among middle school students in Jiading District of Shanghai, increased annually from 2015 to 2023, and the proportion of repeated NSSI also showed an upward trend. Early intervention measures targeting middle school students, especially junior high school students and females, should be implemented to prevent and control its occurrence and development.

Objective:To compare the differences of three-dimensional computed tomography(3DCT),four-dimensional computed tomography(4DCT),and multi-parametric magnetic resonance(MR)sequences of the radiotherapy for liver cancer in delineation for target area,and analyze which MR sequence was more accurate in assisting CT image to delineate the target area,and design respectively reverse intensity modulated radiotherapy plan,and compare the dosimetric parameters of the target areas of receiving radiotherapy and normal liver tissue.Methods:This retrospective study was conducted to analyze radiotherapy data from case data of 18 patients with hepatocellular carcinoma(HCC)who admitted to the First Affiliated Hospital of Bengbu Medical University between August 2023 and June 2024.These data included 10 respiratory phases in 3DCT and 4DCT,and free-breathing sequence(MR-FB),diaphragm navigation sequence(MR-NAVI),and breath-hold(MR-BH)sequence of multi-parametric MRI,and the gross tumor volumes(GTVs)of them were delineated,which were respectively 5 modal images and liver contours included GTV3D,GTV4D,GTVMR-FB,GTVMR-NAVI,and GTVMR-BH.Pinnacle3 9.8 treatment plan system(TPS)was applied to conduct registration and fusion for image by using mutual information method.The 3DCT(GTV3D)was used as reference image to compare the volume of target area,and the displacement of mass center with other 4 kinds of images.The volume difference(VD),overlap ratio(OR),Dice similarity coefficient(DSC),and Jaccard index(JAC)were used to assess the differences among different target area.The indicators of plan evaluation included conformity index(CI),homogeneity index(HI),GTV doses(D2%,D98%,Dmean),and the exposure dose of normal tissue of liver.Results:In images of five modalities,the GTV median volumes were respectively 28.83,33.10,26.75,25.05,and 22.65 cm3.In images of five modalities,the median volume of liver were respectively 1293.46,1483.09,1213.81,1195.69,and 1141.02 cm3.Compared with other 3 target areas,the displacement of GTVMR-BH was the smallest on head-foot direction,with statistically significant differences among them(Z=-2.305,-2.307,-2.134,P<0.05).The OR,DSC,and JAC values of GTV4D were significantly better than these of GTVMR-FB,GTVMR-NAVI,and GTVMR-BH(ZOR=-2.911,-3.006,-3.195,ZDSC=-2.726,-2.215,-2.556,ZJAC=-2.556,-2.704,-2.953,P<0.05).The VD value of GTVMR-FB was better than that of GTV4D,GTVMR-NAVI,and GTVMR-BH,with statistically significant(Z=-2.675,-2.817,-2.580,P<0.05).Additionally,the OR,DSC,and JAC values of GTVMR-FB and GTVMR-NAVI were better than those of GTVMR-BH,with statistically significant(ZOR=-2.859,-2.817,ZDSC=-2.184,-2.783,ZJAC=-2.385,-2.783,P<0.05).All five plans met clinical dose requirements.Friedman test showed there was no statistically significant differences in dosimetric parameters of target area among different plans(P>0.05).However,compared to the PTV3D plan,the PTVMR-FB,PTVMR-NAVI,and PTVMR-BH plans resulted in lower levels in mean dose(Dmean)of liver and volume parameters(V5,V10,V20,V30)of various doses,with statistically significant differences(Dmean:Z=-2.433,-2.307,-2.807,ZV5=-2.512,-2.433,-2.652,ZV10=-2.433,-2.536,-2.968,ZV20=-2.536,-2.652,-2.807,ZV30=-2.611,-2.652,-2.968,P<0.05).Conclusion:In actually clinical application,MR-NAVI and 4DCT also can be adopted to assist 3DCT to delineate target area besides MR-FB sequence that is conventionally used in MR location,thus can enhance precision of delineation,and optimize radiotherapy plan,and decrease exposure dose of normal liver tissue.

Objective To observe the value of cranial ultrasound for perioperative patients with acute severe traumatic brain injury(sTBI).Methods Data of 55 sTBI patients who underwent craniotomy were retrospectively analyzed.The patients were divided into observation group(n=15)and control group(n=40)according to received perioperative cranial ultrasound or not.The general data and surgical data were compared between groups,and ultrasonic data of observation group were analyzed.Results The proportions of good prognosis 1 and 6 months after operation in observation group were both higher than those in control group,while the incidence of cerebral infarction in observation group was lower than that in control group(all P＜0.05).No significant difference of general data nor other surgical data was found between groups(all P＞0.05).Acute encephalocele occurred in 1 case in observation group during operation,and cranial ultrasound accurately showed the contralateral secondary epidural hematoma.Increased intracranial pressure in different degrees were found in all 15 cases(15/15,100％)in observation group after operation with transcranial color coded Doppler(TCCD)or transcranial Doppler(TCD),while cerebral vascular spasm was observed in 5 cases(5/15,33.33％),among them 4 cases(4/5,80.00％)were diagnosed cerebral infarction based on CT examination.Conclusion Cranial ultrasound could be used to evaluate changes of sTBI in perioperative period and guide adjusting treatment strategy in time,being valuable for reducing risk of postoperative cerebral infarction and improving prognosis.