• Journal of Gastric Cancer
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• v.6 no.3
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• pp.173-180
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• 2006

Purpose: The TNM staging system showed limitation in stratifying patients into different prognostic groups with gastric cancer Since the treatment for stage IV gastric cancer with distant metastasis (M1) is defined as non-curative one, we hypothesized that the survival rate of stage IV gastric cancer with M1 is different to that of stage IV gastric cancer with no distant metastasis (M0), which will provide a rationale to subdivide stage IV into IVa and IVb. Materials and Methods: From June 1992 to December 2005, of 1,630 gastric cancer patients who underwent surgery, 308 patients with stage IV gastric cancer were selected and analyzed. The clinicopathologic characteristics and survival of the patients, according to distant metastasis, were determined retrospectively. Median follow-up period was 13 months (range: $1{\sim}154$ month). Results: 5 year survival rate of M0 and M1 group was 35% and 16% respectively with statistic significance (P=0.0000). When the survival rate of M0 group was analyzed according to the difference of T and M factor, T1-3N3M0 and T4N1-2M0 group showed no significant statistical difference (P=0.1898). Conclusion: Given the result in this study, we suggest that the stage IV gastric cancer be subclassified into stage IVa and IVb according to M factor.

• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.99-106
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• 2006

Type classification is a very needed step in recognizing huge character set language such as korean characters. Since most previous researches are based on the composition rule of Korean characters, it has been difficult to correctly classify composite vowel characters and problem space was not divided equally for the lack of classification of last consonant which is relatively bigger than other graphemes. In this paper, I Propose a new type classification method in which horizontal vowel is extracted before vortical vowel and last consonants are further classified into one of five small groups based on horizontal projection profile. The new method uses 19 character types which is more stable than previous 6 types or 15 types. Through experiments on 1.000 frequently used character sets and 30.614 characters scanned from several magazines, I showed that the proposed method is more useful classifying Korean characters of huge set.