Comparison of Up-Front Minimally Invasive Esophagectomy versus Open Esophagectomy on Quality of Life for Esophageal Squamous Cell Cancer.

This study investigates whether minimally invasive esophagectomy (MIE) is a safe and effective way for patients with resectable esophageal cancer by comparing the short-term quality of life (QOL) after minimally invasive esophagectomy and open esophagectomy (OE). A total number of 104 patients who underwent esophagectomy from January 2013 to March 2014 were enrolled in this study. These patients were divided into two groups (MIE and OE group). Three scoring scales of quality of life were used to evaluate QOL before the operation and at the first, third, sixth and twelfth months after MIE or OE, which consist of Karnofshy performance scale (KPS), the European Organization for Research and Treatment questionnaire QLQC-30 (EORTC QLQC-30) and esophageal cancer supplement scale (OES-18). The MIE group was higher than the OE group in one-year survival rate (92.54% vs. 72.00%). Significant differences between the two groups were observed in intraoperative bleeding volume (158.53 ± 91.07 mL vs. 228.97 ± 109.33 mL, p = 0.001), and the incidence of postoperative pneumonia (33.33% vs. 58.62%, p = 0.018). The KPS of MIE group was significantly higher than the OE group at the first (80 vs. 70, p = 0.004 < 0.05), third (90 vs. 80, p = 0.006 < 0.05), sixth (90 vs. 80, p = 0.007 < 0.05) and twelfth months (90 vs. 80, p = 0.004 < 0.05) after surgery. The QLQC-30 score of MIE group was better than OE group at first and twelfth months after the operation. The OES-18 score of MIE group was significantly better than OE group at first, sixth and twelfth months after surgery. The short-term quality of life in MIE group was better than OE group.

Carriage error identification based on cross-correlation analysis and wavelet transformation.

This paper proposes a novel method for identifying carriage errors. A general mathematical model of a guideway system is developed, based on the multi-body system method. Based on the proposed model, most error sources in the guideway system can be measured. The flatness of a workpiece measured by the PGI1240 profilometer is represented by a wavelet. Cross-correlation analysis performed to identify the error source of the carriage. The error model is developed based on experimental results on the low frequency components of the signals. With the use of wavelets, the identification precision of test signals is very high.