PTC (papillary thyroid cancer) is a lymphotropic malignancy associated with cervical lymph node metastasis (CLNM, including central and lateral LNM), which compromises the effect of treatment and prognosis of patients. Accurate preoperative identification will provide valuable reference information for the formulation of diagnostic and treatment strategies. The aim of this study was to develop and validate a clinical-multimodal ultrasound radiomics model for predicting CLNM of PTC. One hundred sixty-four patients with PTC who underwent treatment at our hospital between March 2016 and December 2021 were included in this study. The patients were grouped into a training cohort (n=115) and a validation cohort (n=49). Radiomic features were extracted from the conventional ultrasound (US), contrast-enhanced ultrasound (CEUS) and strain elastography-ultrasound (SE-US) images of patients with PTC. Multivariate logistic regression analysis was used to identify the independent risk factors. FAE software was used for radiomic feature extraction and the construction of different prediction models. The diagnostic performance of each model was evaluated and compared in terms of the area under the curve (AUC), sensitivity, specificity, accuracy, negative predictive value (NPV) and positive predictive value (PPV). RStudio software was used to develop the decision curve and assess the clinical value of the prediction model. The clinical-multimodal ultrasound radiomics model developed in this study can successfully detect CLNM in PTC patients. A total of 3720 radiomic features (930 features per modality) were extracted from the ROIs of the multimodal images, and 15 representative features were ultimately screened. The combined model showed the best prediction performance in both the training and validation cohorts, with AUCs of 0.957 (95% CI: 0.918-0.987) and 0.932 (95% CI: 0.822-0.984), respectively. Decision curve analysis revealed that the combined model was superior to the other models. The clinical-multimodal ultrasound radiomics model constructed with multimodal ultrasound radiomic features and clinical risk factors has favorable potential and high diagnostic value for predicting CLNM in PTC patients.
Abstract: As a highly efficient anticancer agent, doxorubicin (DOX) is used for treatment of various cancers, but DOX-induced oxidative damages contribute to a degenerative irreversible cardiac toxicity. Saikosaponin D (SSD), which is a triterpenoid saponin with many biological activities including anti-inflammatory effects and antioxidant properties, provides protection against pathologic cardiac remodeling and fibrosis. In the present study, we investigated the work of SSD for DOX-induced cardiotoxicity and the involved mechanisms. We observed that DOX injection induced cardiac injury and malfunction and decreased survival rate. Besides, DOX treatment increased lactate dehydrogenase leakage, cardiomyocyte apoptosis, and myocardium fibrosis and decreased the size of cardiomyocytes. Meanwhile, all the effects were notably attenuated by SSD treatment. In vitro, we found that 1 μM SSD could enhance the proliferation of H9c2 cells and inhibit DOX-induced apoptosis. It was found that the levels of malondialdehyde (MDA) and reactive oxygen species were significantly reduced by improving the activities of the endogenous antioxidative enzymes including catalase and glutathione peroxidase. Furthermore, SSD treatment could downregulate the DOX-induced p38 phosphorylation. Our results suggested that SSD efficiently protected the cardiomyocytes from DOX-induced cardiotoxicity by inhibiting the excessive oxidative stress via p38-MAPK (mitogen-activated protein kinase, MAPK) signaling pathway.
Objective To evaluate and compare the quantitative methods of detecting urinary formed elements and counting without centrifugal microscopy examination by different UF-500i fully automated urine cell analyzer.Methods Urinary formed elements were detected in specimens by UF-500i fully automated urine cell analyzer,AVE-764 fully automation urinalysis analyzer and microscopic quantitation in un-centrifuged samples of the 522 patients from our hospital,and analyze the difference between the three quantitative methods of detecting urinary formed elements.Results Using the microscopic quantitation in un-centrifuged samples as standard,Urinary formed elements were detected in specimens by UF-500i fully automated urine cell analyzer,AVE-764 fully automation urinalysis analyzer without notable difference(P ＞ 0.05).With the positive cut off value of 25 per μl for RBC,30 per μl for WBC,1 per μl for cast and 15 per μl for epithelia,the complete concordances were 68.8％ for RBC,80.4％ for WBC,75.3％ for cast,56.1％ for epithelia.The specificity and sensitivity of RBC was 92.9％,84.1％,WBC was 88.2％,83.1％,cast was 91.6％,75.4％,epithelia was 48.4％,76.8％ by AVE-764 respectively.The specificity and sensitivity of RBC was 74.1％,75.3％,WBC was 89.9％,82.5％,cast was 85.4％,61％,epithelia was 90％,87.6％ by UF-500i respectively.Conclusion The urinary formed elements identification and counting of UF-500i and AVE-764 is great similar to standard manual microscopic examination and can fulfill the requirements of clinical examination.
Key words:
Urine ; Microscopy
Objective:To evaluate the efficacy of Huaan decoction combined with chemotherapy in treating gastric cancer. Methods: 60 patients of gastric cancer were divided into two groups.30 patients of control group received only Chemotherapy and the other 30 patients of test group received Huaan decoction combined with Chemotherapy. The curatives effects valuated after 2 circles. Results: The total efficiency rates in test group was higher than that of control group 83.33% and 46.67%,The total effective rate and the life quality of patients in test group were superior to the patients in control group (P0.05) ,The incidence rates of the side effect in test group were lower than those of control group. Conclusion: Huaan decoction combined with Chemotherapy is effective in treating gastric cancer.
The spatial distribution of invasive alien species is driven by various factors, and should be comprehensively evaluated based on multiple invasion indices and different taxonomic groups. In our study, we constructed three sets of invasion indices: (1) absolute invasive alien species (AIAS) richness; (2) weighted invasive alien species (WIAS) richness; (3) relative invasive alien species (RIAS) richness. First, we used principal component analysis (PCA) and k-means clustering to distinguish the invasion risk levels of 28 provinces in China. Then, the ordinary least squares (OLS) and partial least squares (PLS) regression methods were used to explore the factors predicting the distribution patterns of three sets of invasion indices for total species, plants and animals. Finally, the residuals’ regressions of alien plant species richness on alien animal species richness were used to evaluate the effect of environmental and anthropogenic factors on spatial congruence. Results showed that 17 provinces were identified as high invasion risk regions (Liaoning, Hebei, Shandong, Anhui, Jiangsu, Zhejiang, Hunan, Hubei, Jiangxi, Guangdong, Guangxi, Fujian, Taiwan, Hainan, Guizhou, Yunnan and Sichuan). For environmental factors, the potential evapotranspiration (PET) or actual evapotranspiration (AET) could better predict AIAS and WIAS richness, and area better predicted RIAS richness. For anthropogenic factors, the gross domestic product (GDP) or human population explained more variation in AIAS or WIAS richness, and transport volume or GDP could better explain the variation in RIAS richness. Generally, the environmental and anthropogenic factors showed identical prediction ability. The results of PLS regressions indicated that one set of predictors showed similar effects to the alien plants and animals within a model, and indicated the spatial distribution congruence of them. Removing the environmental and anthropogenic factors, to some extent, will weaken the congruence, but the congruence of plants and animals still exists for AIAS and RIAS richness. Our study provides meaningful information for the prediction and management of the biological invasions.
The gene encoding fibronectin-binding protein A(FnBA) was amplified from Staphylococcus aureus chromosomal DNA by PCR.Using the T-A cloning technique,the PCR product about 1 735 bp in length was cloned into a pMD18-T vector and was designated plasmid pMD18-FnBA.pMD18-FnBA and pET28a(+) were digested by BamHⅠ and HindⅢ,then the purified FnBA gene was sub-cloned into expression vector pET28a(+),and the prokaryotic expression vector pET28a-FnBA was constructed.The constructed pET28a-FnBA was transformed into E.coli BL21 competent cells and then induced by IPTG(1 mmol/L).SDS-PAGE analysis revealed a band of approxi-mately 85 000 in molecular weight from the induced E.coli BL21 competent cells.Western-blotting analysis indicated that the protein had antigenic activity of FnBA.
Objective
To evaluate the feasibility of contrast enhanced ultrasound (CEUS) in gallbladder carcinoma anti-angiogenesis treatment.
Methods
Subcutaneous gallbladder carcinoma model was consturcted. The mice were divided into intervention-drug group and control group randomly. The mice of intervention-drug group were treated with Endostar (10 mg·kg-1·d-1) by intraperitoneal injection for two weeks. Two groups of mice were detected by CEUS, then the time of arrival (AT), peak time (TTP), peak intensity (PI), area under the curve (AUC) were measured via time-intensity curve. Expression of MVD and VEGF both in the intervention and control groups were studied through immunohistochemistry.and the correlations between MVD, VEGF and CEUS parameteres were further analyzed.
Results
The mean values of PI in drug intervention group and control group were 10.8±5.5 and 16.8±5.8, respectively. The values of PI in intervention-drug group were lower than that in control group significantly (P<0.05). There was no significant difference in AT, TTP, AUC between the two groups. The mean values of MVD on drug intervention group and control group were 8.5±3.8 and 13.1±3.5, respectively. The mean values of VEGF on drug intervention group and control group were 4.3±0.5 and 4.7±0.4, respectively. The values of MVD and VEGF in intervention-drug group were significant lower than that control group (P<0.05). MVD and VEGF values of intervention-drug group were correlated with PI (r=0.712, P<0.05; r=0.739, P<0.05).
Conclusion
Endostar can inhibit the growth of gallbladder carcinoma and PI can be used as an effective marker to evaluatethe effect of anti-angiogenic therapy in gallbladder carcinoma.
Key words:
Gallbladder; Nude mice; Endostar; Contrast enhanced ultrasound (CEUS); Anti-angiogenic therapy; Microvessel density (MVD)
Despite its prevalence among seniors, the impact of running on trabecular bone microarchitecture, especially in weight-bearing sites, remains relatively unexplored. This cross-sectional study aimed to investigate the impact of habitual running on bone health, specifically bone mineral density (BMD) and trabecular bone microarchitecture, in male older adults. Twenty-five male recreational runners aged between 50 and 75 years old were recruited in this study (RUN; average running experience 7.5 ± 6.0 years, average monthly running volume 217 ± 120 km), and 25 age matched sedentary older males served as controls (CON). Dual-energy X-ray absorptiometry was used to obtain bone mineral density (BMD) measures at whole-body, bilateral proximal femur as well as lumbar spine for all participants. Magnetic resonance imaging was used to obtain trabecular bone microarchitectural parameters at distal femur and distal tibia for all participants. Findings revealed no significant difference in BMD between groups for all measured sites (all p > 0.05; d range 0.013-0.540). However, runners displayed higher bone volume fraction and trabecular thickness at the distal tibia (p = 0.012 and 0.001; 95 % CI of MD [-0.030, -0.004] and [-0.013, -0.004]; d = 0.739 and 1.034, respectively) and higher trabecular thickness at the distal femur (p = 0.002; 95 % CI of MD [-0.010, -0.002]; d = 0.907). This study provides critical insights into the relationship between running and bone health in older adults, suggesting regular recreational running may positively influence trabecular bone microarchitecture, potentially enhancing bone strength and reducing fracture risk. These findings pave the way for future research to develop evidence-based exercise recommendations for an aging population.
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