Objective:To clarify the indications and efficacy after simultaneous surgical treatment in gastric cancer patients with synchronous hepatic metastases (GCHM).Methods:A total of 21 GCHM patients who underwent D2 gastrectomy with R0 hepatic resection (11 cases) or non-R0 hepatic resection (10 cases) from March 2004 to April 2016 were analyzed retrospectively.The clinicopathological characteristics and survival were compared between the two groups.Results:Cumulative survival rate was improved in R0 hepatic resection group compared with non-R0 hepatic resection group:1-year (54.5％ vs 48.0％),2-year(27.3％ vs 0％),and 5-year(27.3％ vs 0％,P=0.044).The median survival time in R0 hepatic resection group and non-R0 hepatic resection group were 16.2 and 5.9 months (P=0.008).Univariate analysis revealed that Bormann's classification (P=0.010) and state of regional lymph node (P=0.004) were significant predictive factors regarding cumulative survival rate.However,there was no significant prognostic factor (P=0.031) in multivariate analysis might partly owing to interaction among them and/or a small number of patients.Conclusion:Multidisciplinary treatments based on R0 hepatic resection combined with D2 gastrectomy could improve survival in selected GCHM patients.

Now researches of ECG data compression mainly focus on compressing the ECG data of low sampling rate. A BW-based high sampling rate ECG data lossless compression algorithm is proposed in this paper. We apply difference operation to the original ECG data first and take part of the 16-bit binary differential value as 8-bit binary. Then the differential results are coded with the move-to-front coding method in order to make the same characters centralizing in a certain area. Last, we gain a high compression ratio by using the arithmetic coding method further. Our experimental results indicate that this is an efficient lossless compression method suitable for body surface ECG data as well as for heart ECG data. The average compression ratios come up to 3.547 and 3.608, respectively. By comparison with current ECG compression algorithms, our algorithm has gained much improvement in terms of the compression ratio, especially when applied to the high sampling rate ECG data.
Algorithms ; Data Compression ; Electrocardiography ; methods ; Humans ; Signal Processing, Computer-Assisted