1.Interventional occlusion of intracristal ventricular septal defects using domestic occluder:Experience of type selection, size definition and injury avoidance in 46 cases
Yingzhang CHENG ; Zhengzhang LI ; Xianfeng WU ; Qinghua WU ; Xiaoshu CHENG ; Yunde LI ; Yanqing WU
Chinese Journal of Tissue Engineering Research 2010;14(4):740-743
OBJECTIVE: Interventional occlusion of intracristal ventricular septal defects (IVSD) is a node point. Reports concerning angiography features and successful occlusion of IVSD using domestic occluder are rare. The aim of this paper is to investigate the angiography features of IVSD and the experience of interventional occlusion with domestic occluder. METHODS: Totally 46 cases of IVSD were diagnosed by color Doppler echocardiography that they had interventional indications.According to the short axis view of aortic, they were divided into 4 groups: A (11:30-12:00), B (12:00-12:30), C (12:30-13:00) and D (13:00-13:30). Different groups were performed with adequate angle angiography to show ventricular septal defect, as well as to decide strategy, which to choose occluder and occluded methods.RESULTS: All 46 patients were occluded successful. Technical success rate was 100%, without related complications. A group included 10 cases, B group 13 cases, C group 16 cases and D group 7 cases. The left anterior oblique angle of IVSD left ventricular angiography was greater than other type of VSD, and increased gradually with the changes in the defect location (Group A to D). According to the defect size and different groups, the defects were successfully occluded with symmetric,decentered, zere-decentered type occluder. Modified pigtail catheter was good value in practice occlusion of IVSD.CONCLUSIONS: Left anterior oblique angle in IVSD left ventricular angiography should be bigger. Domestic occluder is safe,effective, with less complication and cost, which can be the first choose for patients with LVSD.
2.Recent advances in quantum dots-based biosensors for antibiotics detection
Ding RUI ; Chen YUE ; Wang QIUSU ; Wu ZHENGZHANG ; Zhang XING ; Li BINGZHI ; Lin LEI
Journal of Pharmaceutical Analysis 2022;12(3):355-364
Antibiotics are a category of chemical compounds used to treat bacterial infections and are widely applied in cultivation,animal husbandry,aquaculture,and pharmacy.Currently,residual antibiotics and their metabolites pose a potential risk of allergic reactions,bacterial resistance,and increased cancer incidence.Residual antibiotics and the resulting bacterial antibiotic resistance have been recognized as a global challenge that has attracted increasing attention.Therefore,monitoring antibiotics is a critical way to limit the ecological risks from antibiotic pollution.Accordingly,it is desirable to devise new analytical platforms to achieve efficient antibiotic detection with excellent sensitivity and specificity.Quantum dots(QDs)are regarded as an ideal material for use in the development of antibiotic detection biosensors.In this review,we characterize different types of QDs,such as silicon,chalcogenide,carbon,and other doped QDs,and summarize the trends in QD-based antibiotic detection.QD-based sensing applications are classified according to their recognition strategies,including molecularly imprinted polymers(MIPs),aptamers,and immunosensors.We discuss the advantages of QD-derived antibiotic sensors,including low cost,good sensitivity,excellent stability,and fast response,and illustrate the current challenges in this field.
3.The value of textural analysis based on dynamic contrast-enhanced-MRI in predicting IDH genetic phenotypes of high-grade gliomas
Haitao LU ; Wei XING ; Yanwen ZHANG ; Bo DONG ; Ruhong WU ; Zhengzhang GU
Chinese Journal of Radiology 2020;54(5):450-455
Objective:To investigate the value of dynamic contrast-enhanced(DCE)-MRI based textural analysis in differentiating IDH mutated high-grade gliomas from IDH gene wild types.Methods:Twenty-nine patients with high grade gliomas collected from April 2016 to December 2019 in First People's Hospital of Changzhou were assessed retrospectively, including 10 patients with IDH mutation and 19 patients with IDH gene wild type. All patients underwent DCE, conventional plain and enhanced MR scanning. Omni Kinetics software was used to perform DCE-MRI data processing, volume transfer constant (K trans), ratio constant of tracer refluxing from tissue to plasma (Kep), extravascular extracellular space per unit volume of tissue (Ve), blood plasma volume (Vp) and area under the gadolinium concentration-time curve (AUC) were obtained. Five commonly used textural features, including Energy, Entropy, Inertia, Correlation, and Inver Difference Moment (IDM), were generated based on gray-level co-occurrence matrices. The independent samples t test (normal distributionand equal variance) or Mann-Whitney rank sum test (abnormal distribution or unequal variance) was used to compare the differences in textural features of DCE-MRI parameters between IDH mutated group and IDH gene wild type group. Receiver operating characteristic (ROC) curves were used to evaluate the efficiency of textural features of DCE-MRI parameters in differentiating IDH mutated high-grade gliomas from IDH gene wild types for statistically significant textural features. Results:Entropy of K trans and Ve for IDH mutated group were 5.368±1.458 and 6.698±1.081, respectively; while the corresponding values were 7.334±1.385 and 8.213±1.320 for IDH gene wild type group, respectively. The difference between the two groups was statistically significant ( t values were-3.570, -3.113, P values were 0.001, 0.004, respectively). Inverse difference moment of K trans and Ve for IDH mutated group were 0.567±0.147 and 0.417±0.106, respectively; while for IDH gene wild type group, the values were 0.393±0.119 and 0.296±0.101, respectively. The difference between the two groups was statistically significant ( t values were 3.452, 3.014, P values were 0.002, 0.006, respectively). In all textural features, the area under the ROC curve of entropy of K trans was the largest (0.874), and the sensitivity was the highest (100%), and the specificity of IDM of Ve was the highest (94.7%). Conclusion:Textural analysis of DCE-MRI can help to differentiate IDH mutated high-grade gliomas from IDH gene wild types.