1.Preliminary evaluation of data mining on non-masslike enhancement of breast lesions on MRI
Hongna TAN ; Yi SU ; Ruimin LI ; Ying CHEN ; Peihua WANG ; Feng TANG ; Jian MAO ; Xigang SHEN ; Min QIAN ; Yajia GU
Chinese Journal of Radiology 2009;43(5):455-459
Objective To evaluate the diagnostic values of the breast imaging reporting and data system-MRI (BI-RADS-MRI)description about non-masslike enhancement by data mining. Methods Fifty-five patients with non-masslike enhancement lesions showed on breast contrast-enhanced MRI were evaluated using two data mining algorithms (Logistic regression and decision tree) and 10-fold cross-validation methods. Results There were 28 malignant and 27 benign lesions. The most frequent findings of the malignant lesions were clustered ring enhancement and clumped enhancement [ 12 and 4 lesions, respectively; 84. 2% (16/19) in decision trees, partial regression coefficients in Logistic model were 2. 128 and 1.723, respectively], whereas homogenous, stippled, reticular internal and linear ductal enhancement were the most frequent findings in benign lesions [ 4、9、1 and 7 lesions, respectively; 72. 4% (21/29) in decision tree, partial regression coefficients in Logistic model were 0.357 (homogenous), 1. 861 (stippled) and 18. 870( reticular), respectively]. 10-fold cross-validation indicated that decision tree (C5.0) achieved an accuracy of 69.3% with a sensitivity of 66.7% and a specificity of 71.7% in comparison to the Logistic regression model with an accuracy of 57. 0%, a sensitivity of 43.3% and a specificity of 71.7%. Conclusions The diagnosis efficacy of non-masslike enhancement interpretation according to BI-RADS-MRI is not high. It is very important to find more potential features of non-masslike enhancement to improve the diagnosis accuracy.
2.Construction and characterization of a novel somatostatin prokaryotic expression.
Aixin LIANG ; Xigang FENG ; Li HAN ; Guohua HUA ; Lei SANG ; Xingbin LIU ; Yun LIU ; Liguo YANG
Chinese Journal of Biotechnology 2008;24(6):995-998
In the current work, the fusion gene including somatostatin (SS) and the hepatitis B surface antigen gene was cloned into a balanced lethal system plasmid (pYA3493), and then transformed into asd- attenuated Salmonella choleraesuis C500 strain, the positive transformant without antibiotic resistance gene was confirmed by restriction analysis and DNA sequencing, designated as pYA-SS. The expression and immunogenicity of fusion protein were detected by SDS-PAGE and Western blot analysis. These results show that the recombinant prokaryotic expression plasmid pYA-SS could express the SS fusion protein with good immunogenicity in C500 strain. In above all, this study could provide reliable materials to develop novel, good and safe vaccine in enhancing the growth of animals.
Animals
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Artificial Gene Fusion
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Cloning, Molecular
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Hepatitis B Surface Antigens
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genetics
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Humans
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Plasmids
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genetics
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Prokaryotic Cells
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metabolism
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Recombinant Fusion Proteins
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biosynthesis
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genetics
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immunology
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Salmonella arizonae
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genetics
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metabolism
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Somatostatin
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biosynthesis
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genetics
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immunology