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Percentages of hepatocellular carcinoma in LI-RADS categories with CT and MRI: A systematic review and meta-Analysis

Authors
 Lee, Sun young  ;  Kim, Yeun Yoon  ;  Shin, Jaeseung  ;  Son, Won Jeong  ;  Roh, Yun Ho  ;  Choi, Jin Young  ;  Sirlin, Claude B.  ;  Chernyak, Victoria 
Citation
 Radiology, Vol.307(1), 2023-04 
Article Number
 e220646 
Journal Title
RADIOLOGY
ISSN
 0033-8419 
Issue Date
2023-04
Abstract
Background: The Liver Imaging Reporting and Data System (LI-RADS) CT and MRI algorithm applies equally to CT, MRI with extracellular contrast agents (ECA-MRI), and MRI with gadoxetate (Gx-MRI). Purpose: To estimate pooled percentages of hepatocellular carcinoma (HCC) and overall malignancy for each LI-RADS category with CT and MRI. Materials and Methods: MEDLINE and EMBASE databases were searched for research articles (January 2014 April 2021) reporting the percentages of observations in each LI-RADS category with use of versions 2014, 2017, or 2018. Study design, population characteristics, imaging modality, reference standard, and numbers of HCC and non-HCC malignancies in each category were recorded. A random-effects model evaluated the pooled percentage of HCC and overall malignancy for each category. Results: There were 49 studies with 9620 patients and a total 11 562 observations, comprising 7921 HCCs, 1132 non-HCC malignancies, and 2509 benign entities. No HCC or non-HCC malignancies were reported with any modality in the LR-1 category. The pooled percentages of HCC for CT, ECA-MRI, and Gx-MRI, respectively, were 10%, 6%, and 1% for LR-2 (P = .16); 48%, 31%, and 38% for LR-3 (P = .42); 76%, 64%, and 77% for LR-4 (P = .62); 96%, 95%, and 96% for LR-5 (P = .76); 88%, 76%, and 78% for LR-5V or LR-TIV (tumor in vein) (P = .42); and 20%, 30%, and 35% for LR-M (P = .32). Most LR-M (93% 100%) and LR-5V or LR-TIV (99% 100%) observations were malignant, regardless of modality. Conclusion: There was no difference in percentages of hepatocellular carcinoma and overall malignancy between CT, MRI with extracellular contrast agents, and MRI with gadoxetate for any Liver Imaging Reporting and Data System categories. © 2023 Radiological Society of North America Inc.. All rights reserved.
DOI
10.1148/radiol.220646
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
Yonsei Authors
Kim, Yeun-Yoon(김연윤) ORCID logo https://orcid.org/0000-0003-2018-5332
Roh, Yun Ho(노윤호)
Shin, Jaeseung(신재승) ORCID logo https://orcid.org/0000-0002-6755-4732
Lee, Sunyoung(이선영) ORCID logo https://orcid.org/0000-0002-6893-3136
Choi, Jin Young(최진영) ORCID logo https://orcid.org/0000-0002-9025-6274
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/194218
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