1.Laser lithotripsy for postoperative intrahepatic residual stones under choledochoscopy report of 74 cases
Chenglong LIAO ; Hancheng LI ; Yishu NI
International Journal of Surgery 2012;39(4):228-229
ObjectiveExplore the clinical effect of U- 100 double- frequency laser lithotripsy in postoperative residual intrahepatic calculus under choledochoscopy.MethodsSeverty-four patients of postoperative intrahepatic residual stones with U-100 double-frequency laser lithotripsy under choledochoscopy were analyzed retrospectively.ResultsSixty-three (85.1%) of 74 cases were treated successfully in the first operation,8cases ( 10.8% ) obtained satisfactory outcome in the second operation,and 3 cases (4.1%) in the third.All lithotripsies were performed successfully.ConclusionsU-100 double-frequency laser lithotripsy in postoperative residual intrahepatic calculus under choledochoscopy provides a safe and effective method.
2.Comparative proteomic analysis of plasma from bipolar depression and depressive disorder: identification of proteins associated with immune regulatory.
Jin CHEN ; ChengLong HUANG ; YiRen SONG ; HaiYang SHI ; Dong WU ; YongTao YANG ; ChengLong RAO ; Li LIAO ; You WU ; JianYong TANG ; Ke CHENG ; Jian ZHOU ; Peng XIE
Protein & Cell 2015;6(12):908-911
Bipolar Disorder
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blood
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immunology
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metabolism
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Depressive Disorder
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blood
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immunology
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metabolism
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Humans
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Proteomics
3.Design and implementation of an automatic analysis system for magnetic resonance quality detection based on QT.
Hongyan LUO ; Xu XU ; Chenglong GAO ; Mingyong LI ; Yanjian LIAO
Journal of Biomedical Engineering 2019;36(4):627-632
The quality inspection of magnetic resonance imaging (MRI) performance parameters is an important means to ensure the image quality and the reliability of diagnosis results. There are some problems in the manual calculation and eye recognition of the quality inspection parameters, such as strong subjectivity and low efficiency. In view of these facts, an automatic analysis system for MRI quality detection based on QT is proposed and implemented in C++ language. The image processing algorithm is introduced to automatically measure and calculate the quality inspection parameters. The software with comprehensive functions is designed to systematically manage the quality inspection information of MRI. The experimental results show that the automatically calculated parameters are consistent with the manually calculated ones. Accordingly, the accuracy and reliability of the algorithm is verified. The whole system is efficient, convenient and easy to operate, and it can meet the actual needs of MRI quality inspection.
Algorithms
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Image Processing, Computer-Assisted
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Magnetic Resonance Imaging
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standards
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Reproducibility of Results