dc.contributor.author | Goins, Stacy M. | |
dc.contributor.author | Jiang, Hanyu | |
dc.contributor.author | Van der Pol, Christian B. | |
dc.contributor.author | Salameh, Jean-Paul | |
dc.contributor.author | Lam, Eric | |
dc.contributor.author | Adamo, Robert G. | |
dc.contributor.author | McInnes, Matthew D. F. | |
dc.contributor.author | Costa, Andreu F. | |
dc.contributor.author | Tang, An | |
dc.contributor.author | Alhasan, Ayman | |
dc.contributor.author | Allen, Brian C. | |
dc.contributor.author | Reiner, Caecilia S. | |
dc.contributor.author | Clarke, Christopher | |
dc.contributor.author | Cerny, Milena | |
dc.contributor.author | Wang, Jin | |
dc.contributor.author | Choi, Sang Hyun | |
dc.contributor.author | Fraum, Tyler J. | |
dc.contributor.author | Ludwig, Daniel R. | |
dc.contributor.author | Song, Bin | |
dc.contributor.author | Joo, Ijin | |
dc.contributor.author | Kang, Zhen | |
dc.contributor.author | Kierans, Andrea S. | |
dc.contributor.author | Kim, So Yeon | |
dc.contributor.author | Kwon, Heejin | |
dc.contributor.author | Ronot, Maxime | |
dc.contributor.author | Podgórska, Joanna | |
dc.contributor.author | Rosiak, Grzegorz | |
dc.contributor.author | Song, Ji Soo | |
dc.contributor.author | Bashir, Mustafa R. | |
dc.date.accessioned | 2024-01-08T14:01:26Z | |
dc.date.available | NO_RESTRICTION | fr |
dc.date.available | 2024-01-08T14:01:26Z | |
dc.date.issued | 2023-12-19 | |
dc.identifier.uri | http://hdl.handle.net/1866/32297 | |
dc.publisher | Radiological Society of North America | fr |
dc.rights | CC BY-ND 4.0 DEED
Attribution - Pas de Modification 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nd/4.0/deed.fr | |
dc.title | Individual participant data meta-analysis of LR-5 in LI-RADS version 2018 versus revised LI-RADS for hepatocellular carcinoma diagnosis | fr |
dc.type | Article | fr |
dc.contributor.affiliation | Université de Montréal. Faculté de médecine. Département de radiologie, radio-oncologie et médecine nucléaire | fr |
dc.identifier.doi | 10.1148/radiol.231656 | |
dcterms.abstract | 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. | fr |
dcterms.isPartOf | urn:ISSN:0033-8419 | fr |
dcterms.isPartOf | urn:ISSN:1527-1315 | fr |
dcterms.language | eng | fr |
UdeM.ReferenceFournieParDeposant | Goins SM, Jiang H, van der Pol CB, et al. Individual Participant Data Meta-Analysis of LR-5 in LI-RADS Version 2018 versus Revised LI-RADS for Hepatocellular Carcinoma Diagnosis. Radiology. 2023;309(3):e231656. doi:10.1148/radiol.231656 | fr |
UdeM.VersionRioxx | Version acceptée / Accepted Manuscript | fr |
oaire.citationTitle | Radiology | fr |
oaire.citationVolume | 309 | fr |
oaire.citationIssue | 3 | fr |