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박찬섭,이지연,정진향,김완욱,채이수,김혜정,김원화,박지영,박지영,이수정,김미영,양정덕,이준석,박호용 한국유방암학회 2020 Journal of Breast Disease Vol.8 No.2
Purpose: In patients with locally advanced breast cancer, neoadjuvant chemotherapy is widely used. It has a distinct advantage in the downstaging of the primary tumor and provides important information about treatment response. With its increasing usage, concerns over the appropriate management of the axilla have emerged. In this study, we compared oncological outcomes of conventional axillary lymph node dissection (ALND) over axillary sampling (AS) with radiotherapy (RT) in patients who received neoadjuvant chemotherapy. Methods: In this retrospective study, we included female patients with triple negative breast cancer (TNBC) and HER2 type breast cancer who underwent breast and axillary surgery after neoadjuvant chemotherapy between May 2011 to December 2016. A total of 89 patients’ medical records were eligible for analysis. We defined AS as removal of at least four axillary lymph nodes located near the sentinel lymph nodes without full exposure of the axillary vein, long thoracic nerve, and thoracodorsal nerve. Results: The median follow-up period was 47.00 months. The disease-free survival was 69.66 months in the AS with RT group and 69.02 months in the ALND group (p=0.280). The invasive disease-free survival was 75.16 months in the AS with RT group and 78.44 months in the ALND group (p=0.218). Conclusion: AS with radiotherapy might be a feasible surgical option in patients with TNBC and HER2 type breast cancer after neoadjuvant chemotherapy.
박찬섭,김기만,강석엽,Park, Chan-Sub,Kim, Ki-Man,Kang, Suk-Youb 한국정보통신학회 2007 한국정보통신학회논문지 Vol.11 No.10
배경 잡음과 실내 잔향음은 음성 인식 시스템 성능 저하의 주요 이유이다. 많은 알고리즘이 음성의 잔향음 제거를 위해 개발되었다. 이 논문에서는 실내 환경에서 수정된 선형 예측 잔여(Linear Prediction Residual)를 이용하여 음질 개선을 위한 잔향음 제거 방법을 제안한다. 제안된 잔향음 제거 방법은 음성에서 성문 경계의 순간에 발생한 성도(聲道)시스템의 중요한 여기에 기반한다. 본 논문에서 제안한 방법은 3개의 센서로부터 수집한 반향신호로 각 센서에서의 시간지연 정보를 사용한다. 새로운 선형 예측 잔여신호는 선형 예측 잔여의 가중치와 힐버트 변환으로 얻은, 개선된 선형 예측 잔여 조합을 사용한다. 코히런트하게 더해진 힐버트 포락선의 특징은 잡음과 반사로 인한 큰 진폭 피크를 가지는 것이다. 깨끗한 음성의 잔여는 개선된 음성을 얻는 시변전극 필터를 일으키는데 사용된다. 본 논문에서는 반향 환경에서 성능 분석을 위해 제안된 알고리즘의 시뮬레이션을 수행하였다. 제안된 알고리즘은 실내 잔향환경에서 기존의 알고리즘에 비해 반사된 음성의 품질 향상의 결과를 보였다. Background noise and room reverberation are two causes of degradation in speech in listening situations. Many algorithms developed to enhance reverberant speech. In this paper we propose a dereverberation method for enhancement of speech using modified the linear prediction(LP) residual in reverberant room condition. The proposed dereberberation method based on the fact that the signification excitation of the vocal tract system takes place at the instant of glottal closure in voiced speech. Our method used delay information form each sensor, and we need reverberant signals from 3 sensors. We obtain a new LP residual signal using modified IP residual combination which derived form weighting of the LP residual and the Hilbert transform of LP residual. The nature of the coherently added Hilbert envelop has several large amplitude spikes because of the effects of noise and reverberation. This residual of the clean speech is used to excite the time-varying all-pole filter to obtain the enhanced speech. We achieved simulation of proposed algorithm for performance analysis in reverberation environment. The proposed algorithm improves substantially the quality of reverberant speech.