OBJECTIVE: To study effective methods for reducing lung V₅, V₁₀, and mean lung dose (MLD) in the design of volumetric modulated arc therapy for central lung cancer by using different arc configurations and dose-limiting blocks designs. METHODS: Five groups of plans were designed for the enrolled patients. Group A used a full-arc field. Group B used a partial-arc field. Groups C, D, and E used full-arc fields with vertical-length, semi-ring, and triangular dose-limiting blocks added respectively. The dosimetric similarities of target areas and the dosimetric differences in lung V₅, V₁₀, V₂₀, and MLD among the groups were compared. RESULTS: Compared with group A, groups B, C, D, and E had decreased homogeneity and conformity of the target area, but significantly lower V₅ and V₁₀ of the whole lung. The MLD of groups C, D, and E was lower than that of group A. CONCLUSION Using a full-arc field combined with dose-limiting blocks can effectively reduce lung V₅, V₁₀, MLD, and monitor units (MU).
Lung Neoplasms/radiotherapy* ; Humans ; Radiotherapy, Intensity-Modulated/methods* ; Radiotherapy Planning, Computer-Assisted/methods* ; Radiotherapy Dosage ; Lung/radiation effects*

BACKGROUND: Death burden of stroke is severe with over one-third rural residents in China, but there is still a lack of specific national and high-quality reports on the urban-rural differences in stroke burden, especially for subtypes. We aimed to update the understanding of urban-rural differences in stroke deaths. METHODS: This is a descriptive observational study. Data from the national mortality surveillance system, which covers 323.8 million with 605 disease surveillance points (DSPs) across all 31 provinces, municipalities, and autonomous regions in China. All deaths from stroke as the underlying cause from 2015 to 2020 according to DSPs. Crude mortality rate and age-standardized mortality rate (ASMR) were estimated through DSPs. Average annual percentage change was used to explain the change in mortality rate. RESULTS: From 2015 to 2020, the majority of deaths from all stroke subtypes occurred in rural areas. There were significant differences between the changes of urban and rural ASMRs. On the whole, the changes in urban areas were evidently better, and the ASMR differences were basically expanding. Stroke ASMR in urban China decreased by 15.5%. The rural ASMR of ischemic stroke increased by 12.9%. The rural and urban ASMRs of intracerebral hemorrhage decreased by 24.9% and 27.4%, and those of subarachnoid hemorrhage decreased by 29.5% and 40.4%, respectively. The highest ASMRs of all stroke subtypes and the increasing trend of ischemic stroke ASMR make rural males the focus of stroke management. CONCLUSIONS The death burden of stroke varies greatly between urban and rural China. Rural residents face unique challenges.
Humans ; China/epidemiology* ; Stroke/mortality* ; Rural Population/statistics & numerical data* ; Male ; Female ; Urban Population/statistics & numerical data* ; Middle Aged ; Aged ; Aged, 80 and over ; Adult

Objective To investigate the application of transvaginal ultrasound(TVS),multimo-dal magnetic resonance imaging(MRI)and 18F-fluorodeoxyglucose positron emission computed tomo-graphy/computed tomography(18F-FDG PET/CT)in diagnosis of endometrial carcinoma(EC).Methods A total of 157 patients with endometrial cancer in our hospital were selected.The results of EC staging by multimodal MRI and transvaginal ultrasound and positive 18F-FDG PET/CT were recor-ded,and their results were compared with pathological results.Results The results of TVS showed 87 cases in stage Ⅰ,6 cases were misdiagnosed and 12 cases were missed diagnosis.In 55 cases of stage Ⅱ,12 cases were misdiagnosed and 8 cases were missed.In 15 cases of stage Ⅲ,2 cases were misdiagnosed without missed diagnosis.The results of multimodal MRI showed that 86 cases were mis-diagnosed in stage Ⅰ,3 cases were misdiagnosed and 10 cases were missed.In 58 cases of stage Ⅱ,10 cases were misdiagnosed and 3 cases missed diagnosis.There were 13 cases of stage Ⅲ with no missed diagnosis or misdiagnosis.The results of 18F-FDG PET/CT were positive in 145 cases and missed in 12 cases.Based on the golden standard of postoperative pathological staging,the accuracy of TVS di-agnosis of EC patients in stage Ⅰ was 87.10％(81/93),stage Ⅱ was 84.31％(43/51),and stage Ⅲ was 100％(13/13).Based on the golden standard of postoperative pathological staging,the accuracy of mul-timodal MRI in the diagnosis of EC patients was 89.25％(83/93)in stage Ⅰ,94.12％(48/51)in stageⅡ,and 100％(13/13)in stage Ⅲ.According to the pathological staging,145 EC positive cases were de-tected by 18F-FDG PET/CT,the accuracy rate was 92.36％(145/157).Conclusion 18F-FDG PET/CT has a high diagnostic accuracy in EC patients,TVS and multimodal MRI have a high value in the preoperative staging diagnosis of EC,and are worthy of clinical promotion.

Objective:To analyze the changes and significance in clinical cardiac indicators of early cardiac myocardial dysfunction and cardiac substructure dose during conventional radiotherapy for N 2-N 3 non-small cell lung cancer (NSCLC) with mediastinal lymph node metastases. Methods:The data of 34 NSCLC patients with lymph node metastases in regions 4-8 admitted to the Affiliated Cancer Hospital of Guizhou Medical University from June 2022 to August 2023 were observed and analyzed. All patients were treated with volumetric modulated arc therapy with a prescribed dose of 60-70 Gy. Cardiac troponin T (cTnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) were measured at 6 time points: within 1 week before radiotherapy ( t0); when the cumulative radiotherapy dose reaches 20 Gy ( t20), 40 Gy ( t40), 60 Gy ( t60) during radiotherapy; within 1 week after radiotherapy ( tp); 1 month after radiotherapy( tp1). Left ventricular global longitudinal strain (LVGLS) and left atrial global longitudinal strain (LAGLS) were assessed at 4 time points: t0, t40, tp and tp1, respectively. The changes in cardiac indicators at different time points during radiotherapy and their correlation with substructure doses were analyzed using analysis of variance, linear regression analysis, and Pearson correlation. Results:The correlation between cardiac substructure dose and mean heart dose (MHD) in the study cohort in the descending order was as follows: left ventricle ( B=0.43, P<0.001), right ventricle ( B=0.37, P=0.002), left atrium ( B=0.16, P<0.001), and right atrium ( B=0.15, P=0.001). There were significant differences in the changes of LVGLS and LAGLS across different time points ( F=3.13, P=0.029; F=17.18, P<0.001). At 1 month after radiation, LAGLS was significantly decreased compared to pre-radiation levels ( P=0.009), whereas no significant difference was observed in LVGLS ( P=1.000). No significant differences were observed in the changes of cTnT and NT-proBNP across different time points (all P>0.05). Significant correlations were identified between cTnT and right ventricle mean dose at t40 ( r=0.38, P=0.025), as well as between NT-proBNP and right atrium mean dose at t60 and tp ( r=0.54, P=0.001; r=0.41, P=0.016). Conclusions:At present, there is no significant difference between the sensitive serum markers of myocardial injury and LVGLS in detecting early myocardial injury. LAGLS may hold substantial clinical value. There is uncertainty about radiation injury and repair of various cardiac substructures.

Objective:To evaluate the effect of esketamine on caspase-11-mediated non-canonical pathway pyroptosis in sepsis-induced acute lung injury in rats.Methods:Eighteen SPF healthy Sprague-Dawley rats, aged 8-12 weeks, weighing 280-320 g, were divided into 3 groups ( n=6 each) using a random number table method: sham operation group (Sham group), cecal ligation and puncture (CLP) group and CLP+ esketamine group (CLP+ ES group). Sepsis was induced by CLP in anesthetized animals. Esketamine 10 mg/kg was injected via the tail vein immediately after development of the model, and the equal volume of normal saline was injected via the tail vein in the other two groups. At 24 h after development of the model, the rats were sacrificed under anesthesia, and the lung tissues and blood samples were taken. The wet to dry lung weight ratio (W/D ratio) was calculated, and the pathological changes were observed and the lung injury was scored. The expression of caspase-11, gasdermin D-N (GSDMD-N), phosphorylated phosphatidylinositol 3-kinase (p-PI3K) and phosphorylated protein kinase B (p-AKT) was detected by Western blot. The expression of caspase-11 and GSDMD-N mRNA was detected by quantitative real-time polymerase chain reaction. The serum concentration of interleukin-1β (IL-1β) was determined by enzyme-linked immunosorbent assay. Results:Compared with Sham group, the lung injury score and W/D ratio were significantly increased, the expression of caspase-11 and GSDMD-N protein and mRNA was up-regulated, the expression of p-PI3K and p-AKT was down-regulated, and the concentration of IL-1β was increased in CLP group ( P<0.05). Compared with CLP group, the lung injury score and W/D ratio were significantly decreased, the expression of caspase-11 and GSDMD-N protein and mRNA was down-regulated, the expression of p-PI3K and p-AKT was up-regulated, and the concentration of IL-1β was decreased in CLP+ ES group ( P<0.05). Conclusions:The mechanism by which esketamine alleviates sepsis-induced acute lung injury may be related to the inhibition of caspase-11-mediated non-canonical pathway pyroptosis in rats.

Objective To develop a predictive model integrating clinical features,deep learning(DL),and radiomics based on T2-weighted imaging for prenatal assessment of postpartum hemorrhage(PPH)risk in high-risk pregnant women.Methods A total of 538 pregnant women with ultrasound-reported high-risk placenta accrete were retrospectively enrolled and divided into training,internal test,and external test cohorts.A nnUNet model was trained for automatic placental segmentation.Univariate and multivariate analyses were conducted on clinical features to identify those associated with PPH.Quantitative radiomic features were extracted from the placental region,and a random forest model was developed to predict estimated blood loss(EBL)and PPH risk.A DenseNet-based multi-task DL model was trained to predict PPH risk,EBL,and placenta previa status.Finally,a DL-radiomics ensemble(DRE)model was constructed by integrating clinical features,DL outputs,and radiomics scores.Diagnostic performance was evaluated using the area under the receiver operating characteristic curve(AUC)and DeLong test.Results The DRE model achieved AUC values of 0.874(95%CI:0.792-0.951)and 0.836(95%CI:0.648-0.974)in the internal and external test cohorts,respectively,significantly outperforming the standalone clinical,DL,and radiomics models.Incorporation of EBL regression improved the performance of the PPH classification model,with the external test AUC increasing from 0.261-0.788 to 0.836.Conclusion The DRE model integrating DL and radiomics can efficiently predict PPH risk and assist in the clinical management of high-risk pregnancies.

BACKGROUND:Increasing evidence has indicated that early reinforcement of correct posture is particularly important for improving abnormal gait in stroke patients.Wearable exoskeleton-assisted training can improve patients'walking function in a short period of time,and can also assist the coordinated movement of muscles around the pelvis,hip,knee,and ankle joints,control the walking trajectory of the lower limbs,and improve walking ability in patients with stroke.OBJECTIVE:To explore the improvement of abnormal gait in stroke patients by a wearable exoskeleton with posture feedback,and to explore the rehabilitation mechanism.METHODS:A total of 52 patients in the recovery period of stroke admitted to the Affiliated Hospital of Jining Medical College from January 2023 to January 2024 were included in this study and randomly divided into an experimental group(n=26)and a control group(n=26)using a random number table method.Based on conventional rehabilitation training,the patients in the experimental group participated in training using a wearable exoskeleton with posture feedback(15 minutes per day,6 times per week),while those in the control group were given conventional gait therapy(15 minutes per day,6 times per week).Training in each group lasted for 4 weeks.Before and after training,the lower limb motor function scores,gait parameters(step length,step speed,step width)and gait symmetry were compared between the two groups,and the brain functional connectivity values of the prefrontal motor area,the primary motor cortex and the sensorimotor area were detected using portable near-infrared spectroscopy.RESULTS AND CONCLUSION:After training,lower limb motor function scores,gait parameters and gait symmetry were significantly improved in the two groups(P＜0.05).Meanwhile,the experimental group was superior to the control group in terms of gait parameters and gait symmetry(P＜0.05).Brain functional connectivity values of the right sensorimotor area-left prefrontal motor area and right sensorimotor area-right prefrontal motor area were significantly increased in the two groups after training(P＜0.05).The functional connectivity values of the left sensorimotor area-right primary motor cortex and left sensorimotor area-left primary motor cortex in the experimental group were increased after training(P＜0.05).Compared with the control group,the functional connectivity values of the left sensorimotor area-right primary motor cortex and left sensorimotor area-left primary motor cortex were increased in the experimental group after training(P＜0.05).To conclude,based on conventional rehabilitation training,a wearable exoskeleton with posture feedback can not only effectively improve the abnormal gait of stroke patients,but also activate the functional sensorimotor areas of the brain associated with abnormal gait.

Objective:To evaluate the effect of esketamine on caspase-11-mediated non-canonical pathway pyroptosis in sepsis-induced acute lung injury in rats.Methods:Eighteen SPF healthy Sprague-Dawley rats, aged 8-12 weeks, weighing 280-320 g, were divided into 3 groups ( n=6 each) using a random number table method: sham operation group (Sham group), cecal ligation and puncture (CLP) group and CLP+ esketamine group (CLP+ ES group). Sepsis was induced by CLP in anesthetized animals. Esketamine 10 mg/kg was injected via the tail vein immediately after development of the model, and the equal volume of normal saline was injected via the tail vein in the other two groups. At 24 h after development of the model, the rats were sacrificed under anesthesia, and the lung tissues and blood samples were taken. The wet to dry lung weight ratio (W/D ratio) was calculated, and the pathological changes were observed and the lung injury was scored. The expression of caspase-11, gasdermin D-N (GSDMD-N), phosphorylated phosphatidylinositol 3-kinase (p-PI3K) and phosphorylated protein kinase B (p-AKT) was detected by Western blot. The expression of caspase-11 and GSDMD-N mRNA was detected by quantitative real-time polymerase chain reaction. The serum concentration of interleukin-1β (IL-1β) was determined by enzyme-linked immunosorbent assay. Results:Compared with Sham group, the lung injury score and W/D ratio were significantly increased, the expression of caspase-11 and GSDMD-N protein and mRNA was up-regulated, the expression of p-PI3K and p-AKT was down-regulated, and the concentration of IL-1β was increased in CLP group ( P<0.05). Compared with CLP group, the lung injury score and W/D ratio were significantly decreased, the expression of caspase-11 and GSDMD-N protein and mRNA was down-regulated, the expression of p-PI3K and p-AKT was up-regulated, and the concentration of IL-1β was decreased in CLP+ ES group ( P<0.05). Conclusions:The mechanism by which esketamine alleviates sepsis-induced acute lung injury may be related to the inhibition of caspase-11-mediated non-canonical pathway pyroptosis in rats.

Objective To develop a predictive model integrating clinical features,deep learning(DL),and radiomics based on T2-weighted imaging for prenatal assessment of postpartum hemorrhage(PPH)risk in high-risk pregnant women.Methods A total of 538 pregnant women with ultrasound-reported high-risk placenta accrete were retrospectively enrolled and divided into training,internal test,and external test cohorts.A nnUNet model was trained for automatic placental segmentation.Univariate and multivariate analyses were conducted on clinical features to identify those associated with PPH.Quantitative radiomic features were extracted from the placental region,and a random forest model was developed to predict estimated blood loss(EBL)and PPH risk.A DenseNet-based multi-task DL model was trained to predict PPH risk,EBL,and placenta previa status.Finally,a DL-radiomics ensemble(DRE)model was constructed by integrating clinical features,DL outputs,and radiomics scores.Diagnostic performance was evaluated using the area under the receiver operating characteristic curve(AUC)and DeLong test.Results The DRE model achieved AUC values of 0.874(95%CI:0.792-0.951)and 0.836(95%CI:0.648-0.974)in the internal and external test cohorts,respectively,significantly outperforming the standalone clinical,DL,and radiomics models.Incorporation of EBL regression improved the performance of the PPH classification model,with the external test AUC increasing from 0.261-0.788 to 0.836.Conclusion The DRE model integrating DL and radiomics can efficiently predict PPH risk and assist in the clinical management of high-risk pregnancies.