Objective: The aim of this study was to identify the correlation between the clinicopathological characteristics and recurrence in early gastric cancer (EGC), what's more, we attempt to look for a predictive bioma...Objective: The aim of this study was to identify the correlation between the clinicopathological characteristics and recurrence in early gastric cancer (EGC), what's more, we attempt to look for a predictive biomarker to predict and treat for re-currence of EGC. Methods: This study retrospectively analyzed 178 early gastric cancer patients who had the complete post-operative and follow-up medical records in the First Affiliated Hospital of Yangtze University (China) between January 1995 to December 2005. All of them were followed-up to December 2009 regularly. Computer tomography (CT), endoscopy, and single photon emission computed tomography (SPET-CT) were used to diagnose for recurrence of EGC. Immunohistochem-istry (IHC) and fluorescence in situ hybridization (FISH) were used for the detection of cerbB2. Chi-square test was applied to this study for statistics analysis. Results: Fourteen patients had recurrence. Eighteen patients were cerbB2-positive, including twelve recurrence patients and six norecurrence patients. Sex, tumor depth, and lymph node metastasis were related to the recurrence of EGC. Also, cerbB2-positive patients had the higher recurrence rate compared to the cerbB2-negative patients. Conclusion: Recurrence of EGC after curative resection can be predicted by using some clinicopathological characteristics. CerbB2 can be used as a predictive biomarker for recurrence of EGC.展开更多
In order to get a deep understanding of composite failure mechanisms, the new advanced signal processing methodologies are established for the analysis of the large number of acoustic emission (AE) data obtained from ...In order to get a deep understanding of composite failure mechanisms, the new advanced signal processing methodologies are established for the analysis of the large number of acoustic emission (AE) data obtained from the quasi-static tension test of carbon fiber twill weave composite. For this purpose, AE signals have been collected and post-processed for tension test, and are analyzed with three signal processing methods: Empirical Mode Decomposition (EMD), Hilbert-Huang Transform (HHT) and modified energy entropy algorithm. AE signals can be decomposed into a set of Intrinsic Mode Functions (IMF) components, results from this study reveal that the peak frequency of IMF components based on Fast Fourier Transform (FFT) corresponds to different damage mechanisms of composite. HHT of AE signals can clearly express the frequency distribution of IMF component in time-scale in different damage stages, and can calculate accurate instantaneous frequency for damage modes recognition. The energy entropy based on EMD is introduced to act as a new relevant descriptor of composite damage modes in order to improve the characterization and the discrimination of the damage mechanisms.展开更多
文摘Objective: The aim of this study was to identify the correlation between the clinicopathological characteristics and recurrence in early gastric cancer (EGC), what's more, we attempt to look for a predictive biomarker to predict and treat for re-currence of EGC. Methods: This study retrospectively analyzed 178 early gastric cancer patients who had the complete post-operative and follow-up medical records in the First Affiliated Hospital of Yangtze University (China) between January 1995 to December 2005. All of them were followed-up to December 2009 regularly. Computer tomography (CT), endoscopy, and single photon emission computed tomography (SPET-CT) were used to diagnose for recurrence of EGC. Immunohistochem-istry (IHC) and fluorescence in situ hybridization (FISH) were used for the detection of cerbB2. Chi-square test was applied to this study for statistics analysis. Results: Fourteen patients had recurrence. Eighteen patients were cerbB2-positive, including twelve recurrence patients and six norecurrence patients. Sex, tumor depth, and lymph node metastasis were related to the recurrence of EGC. Also, cerbB2-positive patients had the higher recurrence rate compared to the cerbB2-negative patients. Conclusion: Recurrence of EGC after curative resection can be predicted by using some clinicopathological characteristics. CerbB2 can be used as a predictive biomarker for recurrence of EGC.
基金supported by the National Natural Science Foundation of China (Grand No.51275221)the Natural Science Foundation of Jiangsu Province, China (Grand No. BK2011261)
文摘In order to get a deep understanding of composite failure mechanisms, the new advanced signal processing methodologies are established for the analysis of the large number of acoustic emission (AE) data obtained from the quasi-static tension test of carbon fiber twill weave composite. For this purpose, AE signals have been collected and post-processed for tension test, and are analyzed with three signal processing methods: Empirical Mode Decomposition (EMD), Hilbert-Huang Transform (HHT) and modified energy entropy algorithm. AE signals can be decomposed into a set of Intrinsic Mode Functions (IMF) components, results from this study reveal that the peak frequency of IMF components based on Fast Fourier Transform (FFT) corresponds to different damage mechanisms of composite. HHT of AE signals can clearly express the frequency distribution of IMF component in time-scale in different damage stages, and can calculate accurate instantaneous frequency for damage modes recognition. The energy entropy based on EMD is introduced to act as a new relevant descriptor of composite damage modes in order to improve the characterization and the discrimination of the damage mechanisms.
