Comparative Performance of 2018 LI‐RADS versus Modified LIRADS (mLI‐RADS): An Individual Participant Data Meta‐Analysis

Author:

Goins Stacy M.1ORCID,Jiang Hanyu2ORCID,van der Pol Christian B.3,Salameh Jean‐Paul4,Lam Eric5,Adamo Robert G.6,McInnes Matthew D.F.7ORCID,Costa Andreu F.8ORCID,Clarke Christopher9,Choi Sang Hyun10ORCID,Fraum Tyler J.11,Ludwig Daniel R.11,Song Bin12ORCID,Joo Ijin13ORCID,Kierans Andrea S.14ORCID,Kim So Yeon15,Kwon Heejin16ORCID,Podgórska Joanna17ORCID,Rosiak Grzegorz17,Bashir Mustafa R.181920

Affiliation:

1. Duke University School of Medicine Durham North Carolina USA

2. Department of Radiology West China Hospital, Sichuan University Chengdu China

3. Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University Hamilton Ontario Canada

4. Faculty of Health Sciences Queen's University Kingston Ontario Canada

5. Ottawa Hospital Research Institute Ottawa Ontario Canada

6. Faculty of Medicine The University of Ottawa Ottawa Ontario Canada

7. Departments of Radiology and Epidemiology uOttawa The Ottawa Hospital Research Institute Clinical Epidemiology Program Ottawa Ontario Canada

8. Department of Diagnostic Radiology Queen Elizabeth II Health Sciences Centre and Dalhousie University Halifax Nova Scotia Canada

9. Department of Radiology Nottingham University Hospitals NHS Trust Nottingham UK

10. Department of Radiology and Research Institute of Radiology Asan Medical Center, University of Ulsan College of Medicine Seoul Korea

11. Mallinckrodt Institute of Radiology, Washington University School of Medicine St Louis Missouri USA

12. Department of Radiology Sichuan University West China Hospital Chengdu Sichuan China

13. Department of Radiology Seoul National University College of Medicine Seoul Korea

14. Weill Cornell Medical Center New York City New York USA

15. Department of Radiology and Research Institute of Radiology University of Ulsan College of Medicine, Asan Medical Center Seoul Republic of Korea

16. Department of Radiology Dong‐A University Hospital, Dong‐A University College of Medicine Busan Republic of Korea

17. Second Radiology Department Warsaw Medical University Warsaw Poland

18. Departments of Radiology and Medicine Duke University Medical Center Durham North Carolina USA

19. Center for Advanced Magnetic Resonance Development, Duke University Medical Center Durham North Carolina USA

20. Department of Radiology University of North Carolina Chapel Hill North Carolina USA

Abstract

BackgroundLI‐RADS version 2018 (v2018) is used for non‐invasive diagnosis of hepatocellular carcinoma (HCC). A recently proposed modification (known as mLI‐RADS) demonstrated improved sensitivity while maintaining specificity and positive predictive value (PPV) of LI‐RADS category 5 (definite HCC) for HCC. However, mLI‐RADS requires multicenter validation.PurposeTo evaluate the performance of v2018 and mLI‐RADS for liver lesions in a large, heterogeneous, multi‐national cohort of patients at risk for HCC.Study TypeSystematic review and meta‐analysis using individual participant data (IPD) [Study Protocol: https://osf.io/duys4].Population2223 observations from 1817 patients (includes all LI‐RADS categories; females = 448, males = 1361, not reported = 8) at elevated risk for developing HCC (based on LI‐RADS population criteria) from 12 retrospective studies.Field Strength/Sequence1.5T and 3T; complete liver MRI with gadoxetate disodium, including axial T2w images and dynamic axial fat‐suppressed T1w images precontrast and in the arterial, portal venous, transitional, and hepatobiliary phases. Diffusion‐weighted imaging was used when available.AssessmentLiver observations were categorized using v2018 and mLI‐RADS. The diagnostic performance of each system's category 5 (LR‐5 and mLR‐5) for HCC were compared.Statistical TestsThe Quality Assessment of Diagnostic Accuracy Studies version 2 (QUADAS‐2 was applied to determine risk of bias and applicability. Diagnostic performances were assessed using the likelihood ratio test for sensitivity and specificity and the Wald test for PPV. The significance level was P < 0.05.Results17% (2/12) of the studies were considered low risk of bias (244 liver observations; 164 patients). When compared to v2018, mLR‐5 demonstrated higher sensitivity (61.3% vs. 46.5%, P < 0.001), similar PPV (85.3% vs. 86.3%, P = 0.89), and similar specificity (85.8% vs. 90.8%, P = 0.16) for HCC.Data ConclusionThis study confirms mLR‐5 has higher sensitivity than LR‐5 for HCC identification, while maintaining similar PPV and specificity, validating the mLI‐RADS proposal in a heterogeneous, international cohort.Level of Evidence3Technical EfficacyStage 2

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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