기관회원 [로그인]
소속기관에서 받은 아이디, 비밀번호를 입력해 주세요.
개인회원 [로그인]

비회원 구매시 입력하신 핸드폰번호를 입력해 주세요.
본인 인증 후 구매내역을 확인하실 수 있습니다.

회원가입
서지반출
Legg-Calve-Perthes 질환에서 대퇴골두의 괴사정도의 측정 : Catterall 분류법과ㅣ MRI를 이용한 부피측정분류의 비교
[STEP1]서지반출 형식 선택
파일형식
@
서지도구
SNS
기타
[STEP2]서지반출 정보 선택
  • 제목
  • URL
돌아가기
확인
취소
  • Legg-Calve-Perthes 질환에서 대퇴골두의 괴사정도의 측정 : Catterall 분류법과ㅣ MRI를 이용한 부피측정분류의 비교
저자명
정재동
간행물명
대한방사선의학회지
권/호정보
1998년|38권 2호|pp.339-344 (6 pages)
발행정보
대한영상의학회
파일정보
정기간행물|
PDF텍스트
주제분야
기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Purpose: The purpose of this study was to evaluate the extent of necrosis of the femoral head inLegg-Clave-Perthes (LCP) disease. This involved the use of MRI, followed by volume measurement and the use of theCatterall classification system; the difference between the grade obtained using each of these approaches was thendetermined. Materials and Methods: We retrospectively reviewed 28 hip-joint MR images on which a diagnosis of LCPdisease had been based. According to the necrotic portion of femoral head, and on the basis of the catterallclassification, LCP was graded 1 to 4, as follows: Grade I=0~<25%; II=2 5~<50%; III=50~<75; IV=75-100%. Using atransparent paper on which 1mm squares had been drawn, the necrotic area of each MR image was measured; thefollowing equation was then used to calculate the volume of the necrotic portion: volume=necrotic area x slicethickness. On the basis of this measurement, each femoral head was graded and the results were compared with thoseobtained using the Catterall classification. Results: In 24 joints(85.7%), grades according to the Catterallclassification and MRI volume measurement were not the same. As compared with the volume measurement method, useof the Catterall classification led to grade overestimation in 18 joints (64.3%) and underestimation in six(21.4%). Conclusion: The grade according to the Catterall classification was different from that obtained usingthe volume measurement method. This study thus indicates the need for a new system of classifying LCP diseasebased on the volume measurement method and using MR imaging.