1.The Clinical Application of MRCP in Diagnosing Cholangiocarcinoma
Yongchang XI ; Dapeng XI ; Yong HAN ; Zhangzhen SHI
Journal of Practical Radiology 2001;0(08):-
Objective To study the diagnostic value of MRCP in cholangiocarcinoma.Methods MRCP in 39 patients with cholangiocarcinoma comfirmed by surgery and pathology were performed on a GE 1.5T superconductive MR imaging unit before operations.Results MRCP imagings with diagnostic value were obtained in 39 cases,MRCP accurately showed the obstructive positions confirmed by surgery and pathology in all cases (100%).The qualitative rate of cholangiocarcinoma was 97%(38/39).Conclusion MRCP can not only accurately show the position of cholangiocarcinoma but also make accuracy diagnosis.
2.Inhibitory effect of silencing survivin gene with siRNA on growth of human gastric cancer SGC-7901 cells
Yanxia SUN ; Shaojuan YANG ; Shen GAO ; Zhangzhen SHI ; Zhenxia LU
Journal of Jilin University(Medicine Edition) 2006;0(03):-
Objective To investigate the inhibitory effect of silencing survivin gene with siRNA on the growth of gastric cancer cells and its mechanism,and provide evidence in treatment for gastric cancer.Methods DNA template coding survivinspecific siRNA was designed and synthesized.Two recombinant plasmids (pGCsilencerU6/GFP/survivin-siRNA-1 and-2) were constructed.The gastric carcinoma cel1 line SGC-7901 were divided into three groups: liposome-treated control group,empty plasmid-transfected control group and survivin-siRNA-1 transfected group.In order to observe the effect of survivin-siRNA,the expressions of survivin mRNA and protein were detected by RT-PCR and Western blotting,respectively.Methyl thiazolyl tetrazolium(MTT) assay was applied to determine the cell growth status.Apoptotic rates were evaluated by flow cytometry(FCM).Results The results of Western blotting and RT-PCR indicated that the inhibitory rates of protein and mRNA in pGCsilenerU6/GFP/survivin-siRNA-1 transfected group(78.25% and 88.75%) were higher than those in liposome-treated control group(5% and 2%) and empty plasmid-transfected control group(1% and 6%)(P
3.Research of contour analysis on endoscopy navigation.
Zhen ZHANG ; Jinwu QIAN ; Yanan ZHANG ; Linyong SHEN
Journal of Biomedical Engineering 2006;23(6):1332-1335
In this paper, a new method of contour analysis is presented to find path in endoscopy navigation. At first, edge detection is used to endoscope image. Then we do skeleton extraction and connect the edge skeleton to contours by grouping criteria. At last we can get navigation information by analyzing the contours. Experiments show that this algorithm has good precision and stability.
Algorithms
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Diagnosis, Computer-Assisted
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Endoscopy
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methods
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Gastroscopy
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Humans
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Image Enhancement
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methods
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Image Processing, Computer-Assisted
4.A case report of primary adenocarcinoma of the seminal vesicle
Xinxin XU ; Yinyin BAI ; Zhangzhen SHI ; Huizhu GAN
Chinese Journal of Urology 2020;41(7):550-551
Primary seminal vesicle adenocarcinoma is a rare malignant tumor of reproductive system. A 21-year-old patient with primary seminal vesicle adenocarcinoma was treated in our hospital in August 2014. Without surgical treatment, the patient survived for 4.5 years after 6 cycles of chemotherapy and pelvic radiotherapy. Local recurrence was found in February 2019 and laparoscopic radical prostatectomy was performed. There was no local recurrence and metastasis after follow-up for 10 months.
5.Cannabinoid alleviates anxiety- and depression-like behaviors in mice via inhibiting microglia activation
Jianing WANG ; Qiaozhen QIN ; Shunming HONG ; Zhangzhen DU ; Changyi LUO ; Yan WANG ; Xiaoxia JIANG ; Gengsheng MAO
Chinese Journal of Microbiology and Immunology 2022;42(7):510-519
Objective:To investigate the effects and mechanism of cannabinoid (CBD) on the anxiety- and depression-like behaviors induced by lipopolysaccharide (LPS) in mice.Methods:C57BL/6J mice were intraperitoneally injected with LPS to establish the model of neuroinflammation. CBD was injected intraperitoneally 24 h after modeling. Behavioral tests were performed to evaluate the anxiety- and depression-like behaviors in mice. CBD-pretreated BV-2 microglia cells were stimulated with LPS in vitro. The levels of tumor necrosis factor α (TNF-α), interleukin-1β (IL-1β) and CD86 in mouse cerebral cortex, hippocampus, prefrontal cortex and BV-2 cells were measured by qRT-PCR. The protein level of nuclear factor (NF-κB) in mouse brain and BV-2 cells was determined by Western blot. Results:CBD significantly increased the residence time and movement distance of LPS-treated mice in the central area in the open filed test (OFT), and reduced the immobility time in tail suspension test (TST) and force swimming test (FST). In addition, CBD alleviated the neuroinflammation and inhibited the activation of microglia in mouse brain. In vitro, CBD significantly inhibited the activation of BV-2 microglia cells. Both in vivo and in vitro experiments confirmed that CBD could inhibit NF-κB expression. Conclusions:LPS could induce the activation of BV-2 microglia cells and the expression of inflammatory factors in mouse brain accompanied with abnormal behaviors. CBD could inhibit the activation of microglia, alleviate the neuroinflammation in different regions of mouse brain and improve behavioral performance.
6.The recognition methodology study of epileptic EEGs based on support vector machine.
Ruimel HUANG ; Shouhong DU ; Ziyi CHEN ; Zhangzhen ; Zhouyi
Journal of Biomedical Engineering 2013;30(5):919-924
EEG recordings contain valuable physiological and pathological information in the process of seizure. The dynamic changes of brain electrical activity provide foundation and possibility for research and development of automatic detection system about epilepsy. In this paper, a nonlinear dynamic method is presented for analysis of the nonlinear dynamic characteristics of EEGs and delta, theta, alpha, and beta sub-bands of EEGs based on wavelet transform. The extracted feature is used as the input vector of a support vector machine (SVM) to construct classifiers. The results showed that the classification accuracy of SVM classifier based on nonlinear dynamic characteristics to classify the EEG into interictal EEGs and ictal EEGs reached 90% or higher. The support vector machine has good generalization in detecting the epilepsy EEG signals as a nonlinear classifier.
Algorithms
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Artifacts
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Electroencephalography
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methods
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Epilepsy
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diagnosis
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physiopathology
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Humans
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Nonlinear Dynamics
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Signal Processing, Computer-Assisted
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Support Vector Machine