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
이재문 (가톨릭대학 의학부 방사선과학교실)
저널정보
대한영상의학회 대한방사선의학회지 대한방사선의학회지 제20권 제3호
발행연도
1984.1
수록면
394 - 399 (6page)

이용수

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

초록· 키워드

오류제보하기
The cross-sectional anatomy of the intervertebral disc and spinal canal can be studied in detail by computed tomography (CT) which is not invasive and is much simpler than conventional myelography, The shape of the normal disc and distribution of epidural fat pad are varied at each disc level and CT findings of the normal disc and spina canal are essential in diagnosis of herniation or bulging. However, there has been no previous publications providing us with the detailed criteria of normal disc and neural canal cross-sectional anatomy. The present study has been carried out to investigate CT anatomy of the normal distribution of the epidural fat at each lumbar disc level to set up a baseline by which one will be able to judge disc herniation or bulging. The materials consisted of 30 adult volunteers. They were sampled randomly from the individual undergoing a CT Study for the reasons other than spinal disease and having no symptoms or signs of the lumbar spinal disease. CT scans were performed with a Siemens Somatom 2 Scanner. Technical factors involved were Tube voltage 125 kvp, exposure time 10 seconds. 460 mAs, 256x256 matrix, and pixel size 0.4mm. Contiguous 2-mm thick slice of each disc were obtained parallel to the disc plane at 3-mm interval for 5 lumbar discs. The results are follows: 1. The shape of the posterior disc margins at L1-2, L2-3, and L3-4 levels were concave anteriorly in over 90% of the cases compared with the disc margins at L4-5 and L5-S1 where they were convex or flat in over 85% 2. None of the convex discs showed focal nodular protrusion nor were more convex than the anterior margin of the disc.

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