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
Shin Jaeseung (Department of Radiology and Center for Imaging Science Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Korea) Lee Sunyoung (Department of Radiology and Research Institute of Radiological Science Severance Hospital Yonsei University College of Medicine Seoul Korea.) Yoon Ja Kyung (Department of Radiology and Research Institute of Radiological Science Severance Hospital Yonsei University College of Medicine Seoul Korea) Son Won Jeong (Biostatistics Collaboration Unit Department of Biomedical Systems Informatics Yonsei University College of Medicine Seoul Korea) Roh Yun Ho (Biostatistics Collaboration Unit Department of Biomedical Systems Informatics Yonsei University College of Medicine Seoul Korea) Chung Yong Eun (Department of Radiology and Research Institute of Radiological Science Severance Hospital Yonsei University College of Medicine Seoul Korea) Choi Jin-Young (Department of Radiology and Research Institute of Radiological Science Severance Hospital Yonsei University College of Medicine Seoul Korea.) Park Mi-Suk (Department of Radiology and Research Institute of Radiological Science Severance Hospital Yonsei University College of Medicine Seoul Korea)
저널정보
거트앤리버 발행위원회 Gut and Liver Gut and Liver 제17권 제3호
발행연도
2023.5
수록면
466 - 474 (9page)
DOI
10.5009/gnl220115

이용수

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

초록· 키워드

오류제보하기
Background/Aims: To compare the performance of the Liver Imaging Reporting and Data System (LI-RADS) v2018 and Korean Liver Cancer Association-National Cancer Center (KLCANCC) 2018 criteria for diagnosing hepatocellular carcinoma (HCC) using magnetic resonance imaging (MRI) with hepatobiliary agent (HBA). Methods: We searched the MEDLINE and EMBASE for studies from January 1, 2018, to October 20, 2021, that compared the diagnostic performance of two imaging criteria on HBA-MRI. A bivariate random-effects model was fitted to calculate the per-observation sensitivity and specificity, and the estimates of paired data were compared. Subgroup analysis was performed based on the observation size. Meta-regression analysis was also performed for study heterogeneity. Results: Of the six studies included, the pooled sensitivity of the definite HCC category of the KLCA-NCC criteria (82%; 95% confidence interval [CI], 74% to 90%; I2=84%) was higher than that of LR-5 of LI-RADS v2018 (65%; 95% CI, 52% to 77%; I2=96%) for diagnosing HCC (p<0.001), while the specificity was lower for KLCA-NCC criteria (87%; 95% CI, 84% to 91%; I2=0%) than LI-RADS v2018 (93%; 95% CI, 91% to 96%; I2=0%) (p=0.017). For observations sized ≥20 mm, the sensitivity was higher for KLCA-NCC 2018 than for LI-RADS v2018 (84% vs 74%, p=0.012), with no significant difference in specificity (81% vs 85%, p=0.451). The reference standard was a significant factor contributing to the heterogeneity of sensitivities. Conclusions: The definite HCC category of KLCA-NCC 2018 provided a higher sensitivity and lower specificity than the LR-5 of LI-RADS v2018 for diagnosing HCC using MRI with HBA.

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