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
손인 (서울대학교 의과대학 내과학교실) 권인순 (서울대학교 의과대학 내과학교실) 박정식 (서울대학교 의과대학 내과학교실) 이명철 (서울대학교 의과대학 내과학교실) 조보연 (서울대학교 의과대학 내과학교실) 고창순 (서울대학교 의과대학 내과학교실) 이문호 (서울대학교 의과대학 내과학교실)
저널정보
대한핵의학회 대한핵의학회지 대한핵의학회지 제17권 제1호
발행연도
1983.1
수록면
33 - 39 (7page)

이용수

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

초록· 키워드

오류제보하기
Sixty-nine patients with diffuse lung uptake of $^{99m}Tc-tin$ colloid were evaluated to determine the kinds of associated diseases, the incidence of associated liver scan abnormalities, and prognosis. The results were as follows: 1) Diseases associated with diffuse lung uptake included malignancies in 31 patients, infectious diseases in 19, chronic liver diseases in 14, and others in 5. It appeared that the marked degree of lung uptake was associated with severe diseases. 2) Thirty-one of the 69 patients(45%) had abnormal liver size, 43(62%) had space occupying lesions or nonhomogeneity in liver image, 37(54%) had splenomegaly and 45(65%) had increased splenic uptake. Increased bone marrow uptake was found in 48(70%) and renal uptake in 15(22%). As the degree of lung uptake increased, there was a statistically significant (p<0.05) tendency for the incidences of the abnormal liver image and renal uptake to increase. 3) Sixty-two of the 69 patients were followed up for one to 439 days(mean 44 days) after liver scanning. Eleven(18%) were dead, 10(16%) were aggravated, and 13(21%) were improved. Most of improved patients had infectious diseases. It appeared that diffuse lung uptake of $^{99m}Tc-Tn$ colloid was found in the various diseases including malignancies, infections, and chronic liver diseases, and that it was strongly associated with other liver scan abnormalities, but was not necessarily associated with a poor prognosis, particularly when underlying diseases were infections.

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