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
권순태 (충남대학교 의과대학 진단방사선과학교실)
저널정보
대한영상의학회 대한방사선의학회지 대한방사선의학회지 제29권 제5호
발행연도
1993.1
수록면
885 - 895 (11page)

이용수

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

초록· 키워드

오류제보하기
To evaluate the clinical usefulness of radionuclide(RI) cisternographic findings of 47 patients by using our classification which was modified from Vaum's and correlated them with CT(n=37) or MRI(n=10) findings and clinical outcome in selected patients with hydrocephalus (n=37). Modified RI cisternographic patterns of 37 patients were type I in three cases (8%), type II in seven (18%), type III-A in six(16%), no case of type III-B, type IV-A in 12(32%), and type IV-B in nine (24%). RI cisternography enabled to differentiate communicating hydrocephalus (27 cases, 73%) from noncommunicating hydrocephalus (10 cases, 27%) There was marked clilnical improvement in 17 patients (46%), slight improvement in 11 patients (30%), and no improvement in nine patients (24%) The clinical outcome of patients with RI cisternographic type IV-B was worse than that of other types. CT and MRI could neither predict the clinical outcome nor differentiate type IV-B from Thpe IV-A(p>.05) Ventricular size index (VSI) was significantly higher in patients with type IV than that with other types(p<.001). RI cisternographic patterns of communicating hydrocephalus were relatively correlated with clinical outcome (r=-0.53, p=.001), VIS (r=0.59, p=.001) and dilatation of fourth ventricle (r=0.41, p<.05) We suggest that our modified classification of RI cisternographic patterns can provide more strict physiological assessment of the CSF dynamics and RI cisternography may be still useful to differentiate communicating hydrocephalus from noncommunicating hydrocephalus and to predict the clinical outcome in conjunction with CT/MR findings and clinical presentation

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