重庆医学2012，Vol.41Issue(1)：22-24,3.DOI:10.3969/j.issn.1671-8348.2012.01.008
胃癌血清蛋白指纹人工神经网络诊断模型的研究
Study on serum protein finger printing coupled with ANN to establish diagnostic model of gastric cancer
摘要
Abstract
Objective To study serum protein of patients with gastric cancer and screen different expressed protein to find mole cule diagnostic model and new method for early detection of gastric cancer. Methods The SELDI-TOF-MS,CM10 protein chip and Biomarker Wizard 3. 1 software were performed to detect mass spectrogram of patients with gastric cancer and contrast persons for serum protein signature analysis to build and test ANN model. Results Three diognostic models were built for diagnosis /differen tiatial diagnosis and screening of gastric cancer. Five specific protein peaks (M/Z as 2502,2544,3085,8574,8740) were chosen to develop the artificial neural network diagnostic model. The model was yielded a sensitivity of 95. 0% ,a specificity of 98. 33% ,a pos itive predictive value of 95. 0% ,a negative predictive value of 98. 33% ,a accuracy of 97. 5%. Conclusion SELDI-TOF-MS is valua ble to the early diagnosis of gastric cancer and need further study.关键词
胃肿瘤/神经网络模型/分子诊断模型Key words
stomach neoplasms/neural networks/molecule diagnostic model引用本文复制引用
吕连华,勾宗蓉,王开正,丁银环,李圃..胃癌血清蛋白指纹人工神经网络诊断模型的研究[J].重庆医学,2012,41(1):22-24,3.基金项目
国家高技术研究发展计划(863计划)重点基金资助项目(2006AA02090407). （863计划）
