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

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
우영훈 (고신의과대학 방사선과학교실)
저널정보
대한영상의학회 대한방사선의학회지 대한방사선의학회지 제21권 제2호
발행연도
1985.1
수록면
334 - 342 (9page)

이용수

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

초록· 키워드

오류제보하기
From July 1, 1981 to August 31, 1984, 59 patients who had radiation therapy for carcinoma of cervix had CT scanning at Department of Diagnostic Radiology, Kosin Medical College. The authors analysed the CT findings of the patients in regard to the recurrence of the disease and postradiation changes. The results are as followings; 1. The incidence of recurrence was most common in advanced stage over llb. 77% 2. Changes in pelvic cavity were as followings; Widening of presacral space 78%; Increased perirectal fat space 81%; Symmetrical thickening of perirectal fascia 97%; Fibrous conncetion between sacrum and rectum 92%; Anterior connection between rectum and perirectal fascia 47%; Increased bowel wall thickness 44%; Increased bladder wall thickness with trabeculations 51%. 3. In most patients who had CT scanning within 3 months after radiation therapy, CT did not demonstrate postradiation changes characterized by an increased pelvic fibrous and fatty tissue. 4. In 10 patients w o had postoperative radiation therapy, 8 patients show increased bowel wall thickness. 5. 30 patients with recurrent carcinoma of cervix were as followings; Pelvic tumor recurrence 90%; Parametrial and side wall extension 53%; Pelvic and paraaortic lymphadenophthy 40%; Hydronephrosis 23%' Bladder involvement 23%; Lumbar spine involvement 10%. And 1 patient shows distant metastasis to paraaortic lymph node, 1 patient to lumbar spine, and 1 patient to liver without recurrent tumor mass in pelvic cavity. 6. 2 patients showing mass without other sign in the pelvic cavity were unable to be differentiated between irradiated uterus and recurrent tumor.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

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