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Individual Participant Data Meta-Analysis of LR-5 in LI-RADS Version 2018 versus Revised LI-RADS for Hepatocellular Carcinoma Diagnosis

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收录情况： ◇ SCIE

作者：
Goins Stacy M[1] * ; Jiang Hanyu[2] ; van der Pol Christian B[3] ; Salameh Jean-Paul[4] ; Lam Eric[5] ; Adamo Robert G[6] ; McInnes Matthew D F[7.8] ; Costa Andreu F[9] ; Tang An[10] ; Alhasan Ayman S[11,12] ; Allen Brian C[13] ; Reiner Caecilia S[14] ; Clarke Christopher[15] ; Cerny Milena[16] ; Wang Jin[17] ; Choi Sang Hyun[18] ; Fraum Tyler J[19] ; Ludwig Daniel R[19] ; Song Bin[2] ; Joo Ijin[20] ; Kang Zhen[21] ; Kierans Andrea S[22] ; Kim So Yeon[23] ; Kwon Heejin[24] ; Ronot Maxime[25] ; Joanna Podgórska[26] ; Rosiak Grzegorz[26] ; Song Ji Soo[27] ; Bashir Mustafa R[28,29,30] ;
机构： [1]Department of Radiology, Duke University School of Medicine, Durham, NC [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 at The University of Ottawa, Ottawa, Ontario, Canada [7]Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada [8]The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada [9]Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada [10]Department of Radiology, Centre Hospitalier de l’Université de Montréal, Montréal, Québec, Canada [11]Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia [12]Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia [13]Department of Radiology, Duke University Medical Center, Durham, NC [14]Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland [15]Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom [16]Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, Québec, Canada [17]Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China [18]Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea [19]Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo [20]Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea [21]Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China [22]Weill Cornell Medical Center, New York, NY [23]Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea [24]Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea [25]Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France [26]Second Radiology Department, Warsaw Medical University, Warsaw, Poland [27]Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea [28]Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 [29]Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC [30]Department of Radiology, University of North Carolina, Chapel Hill, NC
出处：
DOI： 10.1148/radiol.231656
ISSN：

摘要：
Background A simplification of the Liver Imaging Reporting and Data System (LI-RADS) version 2018 (v2018), revised LI-RADS (rLI-RADS), has been proposed for imaging-based diagnosis of hepatocellular carcinoma (HCC). Single-site data suggest that rLI-RADS category 5 (rLR-5) improves sensitivity while maintaining positive predictive value (PPV) of the LI-RADS v2018 category 5 (LR-5), which indicates definite HCC. Purpose To compare the diagnostic performance of LI-RADS v2018 and rLI-RADS in a multicenter data set of patients at risk for HCC by performing an individual patient data meta-analysis. Materials and Methods Multiple databases were searched for studies published from January 2014 to January 2022 that evaluated the diagnostic performance of any version of LI-RADS at CT or MRI for diagnosing HCC. An individual patient data meta-analysis method was applied to observations from the identified studies. Quality Assessment of Diagnostic Accuracy Studies version 2 was applied to determine study risk of bias. Observations were categorized according to major features and either LI-RADS v2018 or rLI-RADS assignments. Diagnostic accuracies of category 5 for each system were calculated using generalized linear mixed models and compared using the likelihood ratio test for sensitivity and the Wald test for PPV. Results Twenty-four studies, including 3840 patients and 4727 observations, were analyzed. The median observation size was 19 mm (IQR, 11-30 mm). rLR-5 showed higher sensitivity compared with LR-5 (70.6% [95% CI: 60.7, 78.9] vs 61.3% [95% CI: 45.9, 74.7]; P < .001), with similar PPV (90.7% vs 92.3%; P = .55). In studies with low risk of bias (n = 4; 1031 observations), rLR-5 also achieved a higher sensitivity than LR-5 (72.3% [95% CI: 63.9, 80.1] vs 66.9% [95% CI: 58.2, 74.5]; P = .02), with similar PPV (83.1% vs 88.7%; P = .47). Conclusion rLR-5 achieved a higher sensitivity for identifying HCC than LR-5 while maintaining a comparable PPV at 90% or more, matching the results presented in the original rLI-RADS study. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Sirlin and Chernyak in this issue.

基金：
Supported by Joan Sealy Trust for Cancer Research, Radiological Society of North America R&E Foundation Research Scholar Grant, Canadian Institutes of Health Research Operating Research Grant, and Fonds de Recherche du Québec–Santé (FRQS #298509 to A.T.).
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外文
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中科院(CAS)分区：
出版当年[2023]版：
大类 | 1 区 医学
小类 | 1 区 核医学
最新[2023]版：
大类 | 1 区 医学
小类 | 1 区 核医学
JCR分区：
出版当年[2023]版：
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版：
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子： 最新[2023版] 最新五年平均 出版当年[2023版] 出版当年五年平均 出版前一年[2022版]

第一作者：
第一作者机构： [1]Department of Radiology, Duke University School of Medicine, Durham, NC
通讯作者：
通讯机构： [28]Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 [29]Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC [30]Department of Radiology, University of North Carolina, Chapel Hill, NC
推荐引用方式(GB/T 7714)：
Goins Stacy M,Jiang Hanyu,van der Pol Christian B,et al.Individual Participant Data Meta-Analysis of LR-5 in LI-RADS Version 2018 versus Revised LI-RADS for Hepatocellular Carcinoma Diagnosis[J].RADIOLOGY.2023,309(3):e231656.doi:10.1148/radiol.231656.
APA：
Goins Stacy M,Jiang Hanyu,van der Pol Christian B,Salameh Jean-Paul,Lam Eric...&Bashir Mustafa R.(2023).Individual Participant Data Meta-Analysis of LR-5 in LI-RADS Version 2018 versus Revised LI-RADS for Hepatocellular Carcinoma Diagnosis.RADIOLOGY,309,(3)
MLA：
Goins Stacy M,et al."Individual Participant Data Meta-Analysis of LR-5 in LI-RADS Version 2018 versus Revised LI-RADS for Hepatocellular Carcinoma Diagnosis".RADIOLOGY 309..3(2023):e231656

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