1.Diagnostic Value of Galactography and Mammoscopy for Mammary Ductal Diseases:An Analysis of 100 Cases
Shaohua CHEN ; Ruibing LIANG ; Fengyi GU ; Jinxia FENG
Journal of Practical Radiology 2001;0(10):-
Objective To improve the diagnostic rate of mammary ductal disease by galactography and mammoscopy.Methods 100 cases of the galactographic and mommoscopy materials were retrospectively analyzed.Results Tumorous diseases including intraductal papilloma,intraductal papillary carcinoma and ductal carcinoma,they accounted for 14%,intraductal papilloma and intraductal papillary carcinoma were the most in this group(12%).Non-tumorous diseases including mammary ductal ectasia with chronicmastitis,plasma cell mastitis,mammary cyst,lobular hyperplasia and cystic hyperplasia,they accounted for 71%,mammary ductal ectasia was the most in this group(42%).Conclusion The galactography and mammoscopy are very valuable in the diagnosis and differentiating diagnosis of mammary ductal diseases.
2.Visualization of Multivariate Metabolomic Data
Jun ZHOU ; Jiye AA ; Guangji WANG ; Fengyi ZHANG ; Rongrong GU ; Xinwen WANG ; Chunyan ZHAO ; Mengjie LI ; Jian SHI ; Bei CAO ; Tian ZHENG ; Linsheng LIU ; Sheng GUO ; Jinao DUAN
Chinese Herbal Medicines 2011;(4):285-289
Objective Although principal components analysis profiles greatly facilitate the visualization and interpretation of the multivariate data,the quantitative concepts in both scores plot and loading plot are rather obscure.This article introduced three profiles that assisted the better understanding of metabolomic data.Methods The discriminatory profile,heat map,and statistic profile were developed to visualize the multivariate data obtained from high-throughput GC-TOF-MS analysis.Results The discriminatory profile and heat map obviously showed the discriminatory metabolites between the two groups,while the statistic profile showed the potential markers of statistic significance.Conclusion The three types of profiles greatly facilitate our understanding of the metabolomic data and the identification of the potential markers.