메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류
인문학
인문학 일반 역사학 철학 종교학 어문학 기타 인문학
사회과학
사회과학 일반 경영학 관광학 교육학 군사학 문헌정보학 법학 사회학 신문방송학 심리과학 정치외교학 지리학 행정학 경제학 무역학 인류학 기타 사회과학
자연과학
자연과학 일반 물리학 생물학 생활과학 수학·통계학 천문학 지구과학 화학 기타 자연과학
공학
공학 일반 건축공학 기계공학 산업공학 재료·에너지공학 전기전자공학 조선해양공학 화학공학 컴퓨터학 기타공학
의약학
의학 일반 간호학 수의학 약학 한의학 기초의학 임상의학 기타 의약학
농수해양학
농수해양학 일반 농학 수산학 식품과학 임학 축산학 해상운송학 기타 농수해양학
예술체육학
예술 일반 디자인 미술 미용 사진 음악학 의상 체육 공연매체예술 기타 예술체육학
복합학
학제간연구 과학기술학 뇌인지과학 기술정책 기타 복합학

ENG

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Shin, Hong Kyung (Department of Neurological Surgery, Asan Medical Center, University of Ulsan College of Medicine) Kim, Jeong Hoon (Department of Neurological Surgery, Asan Medical Center, University of Ulsan College of Medicine) Lee, Do Heui (Department of Neurological Surgery, Asan Medical Center, University of Ulsan College of Medicine) Cho, Young Hyun (Department of Neurological Surgery, Asan Medical Center, University of Ulsan College of Medicine) Kwon, Do Hoon (Department of Neurological Surgery, Asan Medical Center, University of Ulsan College of Medicine) Roh, Sung Woo (Department of Neurological Surgery, Asan Medical Center, University of Ulsan College of Medicine)
저널정보
대한신경외과학회 대한신경외과학회지 대한신경외과학회지 제59권 제4호
발행연도
2016.1
수록면
392 - 399 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Objective : Brain metastases in gynecologic cancer (ovarian, endometrial, and cervical cancer) patients are rare, and the efficacy of Gamma Knife Radiosurgery (GKRS) to treat these had not been evaluated. We assessed the efficacy of GKRS and prognostic factors for tumor control and survival in brain metastasis from gynecologic cancers. Methods : This retrospective study was approved by the institutional review board. From May 1995 to October 2012, 26 women (mean age 51.3 years, range 27-70 years) with metastatic brain tumors from gynecologic cancer were treated with GKRS. We reviewed their outcomes, radiological responses, and clinical status. Results : In total 24 patients (59 lesions) were available for follow-up imaging. The median follow-up time was 9 months. The mean treated tumor volume at the time of GKRS was $8185mm^3$ (range $10-19500mm^3$), and the median dose delivered to the tumor margin was 25 Gy (range, 10-30 Gy). A local tumor control rate was 89.8% (53 of 59 tumors). The median overall survival was 9.5 months after GKRS (range, 1-102 months). Age-associated multivariate analysis indicated that the Karnofsky performance status (KPS), the recursive partitioning analysis (RPA) classification, and the number of treated lesions were significant prognostic factors for overall survival (HR=0.162, p=0.008, HR=0.107, p=0.038, and HR=2.897, p=0.045, respectively). Conclusion : GKRS is safe and effective for the management of brain metastasis from gynecologic cancers. The clinical status of the patient is important in determining the overall survival time.
#Gynecologic cancer #Brain metastases #Gamma Knife Radiosurgery #Prognostic factor #Survival

목차

등록된 정보가 없습니다.

참고문헌 (40)

참고문헌 신청
Bindal RK / 1993 / Surgical treatment of multiple brain metastases / J Neurosurg 79:210~216 google schola Bradley JD / 2005 / Phase II trial of postoperative adjuvant paclitaxel/carboplatin and thoracic radiotherapy in resected stage II and IIIA non-small-cell lung cancer : promising long-term results of the Radiation Therapy Oncology Group--RTOG 9705 / J Clin Oncol 23:3480~3487 google schola Brown JV 3rd / 2005 / Gamma-knife radiosurgery for the treatment of ovarian cancer metastatic to the brain / Gynecol Oncol 97:858~861 google schola Chen PG / 2005 / Use of the Radiation Therapy Oncology Group recursive partitioning analysis classification system and predictors of survival in 19 women with brain metastases from ovarian carcinoma / Cancer 104:2174~2180 google schola Chi A / 2010 / Treatment of brain metastasis from lung cancer / Cancers (Basel) 2:2100~2137 google schola

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0