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

  • Sunyoung Lee
  • , Yeun Yoon Kim
  • , Jaeseung Shin
  • , Won Jeong Son
  • , Yun Ho Roh
  • , Jin Young Choi
  • , Claude B. Sirlin
  • , Victoria Chernyak
  • Yonsei University
  • University of California at San Diego
  • Beth Israel Deaconess Medical Center

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article numbere220646
JournalRadiology
Volume307
Issue number1
DOIs
StatePublished - Apr 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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