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Mineko Murakami,Takamitsu Fujimaki,Shuichiro Asano,Hiroshi Nakaguchi,Shoko M. Yamada,Katsumi Hoya,Kazuto Yamazaki,Yasuo Ishida,Akira Matsuno 연세대학교의과대학 2011 Yonsei medical journal Vol.52 No.6
High-dose methotrexate-based chemotherapy has extended survival in patients with primary central nervous system lymphoma (PCNSL). However, although salvage treatment is necessary in recurrent and refractory PCNSL, this has not been standardized. We herein describe the efficacy of a combination of rituximab and temozolomide (TMZ) in two consecutive patients with recurrent and refractory PCNSL. Based on the immunohistochemical study, case 1 had a non-germinal center B-cell-like (non-GCB) subtype, was positive for bcl-2 and negative for O6-methylguanine-DNA methyltransferase (MGMT). Case 2 was GCB subtype, bcl-2-, and MGMT+. Because of the positive expression of MGMT, interferon-beta was additionally given in case 2. Complete responses and partial responses were obtained after the third and fourth cycles of combination therapy, respectively. This was maintained for 12 months, with acceptable toxicity. The combination of rituximab and TMZ was effective in tumors with different immunohistochemical profiles. This combination therapy warrants further study in a larger population.
Word Recognition by Neural Networks Using Adaptive Mel-Cepstral Analysis
Hoya, Tetsuya,Ihara, Hitoshi,Asano, Takamitsu,Ishida, Yoshihisa 대한전자공학회 1994 ISPACS:Intelligent Signal Processing and Communica Vol.1 No.1
Neural networks have played an important role in many fields of signal processing. One of the fruitful application using neural networks is the development of speech recognition system. In this paper, a practical word recognition system using the technique of adaptive mel-cepstral analysis is presented. The experimental results show the proposed method is suitable for the practical word recognition system.