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- 저자 : Kosuke Takeda (검색결과 2 건)
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Screening for Lynch syndrome using risk assessment criteria in patients with ovarian cancer
Takashi Takeda,Kosuke Tsuji,Kouji Banno,Megumi Yanokura,Yusuke Kobayashi,Eiichiro Tominaga,Daisuke Aoki 대한부인종양학회 2018 Journal of Gynecologic Oncology Vol.29 No.3
Objective: Lynch syndrome is a cancer predisposition syndrome caused by germline mutation of DNA mismatch repair (MMR) genes. Lynch syndrome only causes about 0.4% of cases of ovarian cancer, which suggests that universal screening may not be cost-efficient. However, the frequency of Lynch syndrome in ovarian cancer is unclear in the Asian population. The goal of the study was to investigate a screening strategy using family history. Methods: The subjects were 129 patients with ovarian cancer. Clinical and family history were collected using a self-administered questionnaire, and Society of Gynecologic Oncology (SGO) criteria 2007 and PREMM5 were used for risk assessment. Microsatellite instability, immunohistochemistry, and methylation of MMR genes were analyzed. Results: Of the 129 cases, 25 (19.4%) met the SGO criteria, and 4 of these 25 had MSI-high and MMR deficiency. Two cases had loss of MSH2 and MSH6, indicating MSH2 mutation, and the other two had loss of MLH1 and PMS2, including one without MLH1 methylation indicating MLH1 mutation. These results show that screening using family history can detect Lynch syndrome in 12.0% (3/25) of ovarian cancer cases. The 3 cases were positive for PREMM5, but negative for Amsterdam II criteria and revised Bethesda guidelines. Genetic testing in one case with MSH2 and MSH6 deficiency confirmed the diagnosis of Lynch syndrome with MSH2 mutation. Conclusion: This is the first study of screening for Lynch syndrome in ovarian cancer using clinical and family history in an Asian population. This approach may be effective for diagnosis in these patients.
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A Comparison of PSNR, WSNR and ESNR Evaluation Methods for The Two Value Modulated Images
Junji Kawasaki,Kosuke Takeda,Kyoko Kato,Taizo Iijima 한국방송·미디어공학회 2005 방송공학회논문지 Vol.10 No.2
We have proposed an objective evaluation method using ESNR as the measure of approximation by the visual model, which coincides with MOS, a subjective evaluation method. For two-value images, we have used five kinds of modulation methods: 1) ordered dither, 2) least mean error, 3) pulse density four division, 4) simple two-value, and 5) random dither methods. The purpose of this paper is to investigate the validity of ESNR, by comparing the proposed method together with the existing representative methods such as PSNR and WSNR, with the subjective method MOS. The results of a series of experiments show that the ranking by MOS coincides with ESNR, though does not coincides with PSNR and WSNR.
ScienceON
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