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Liver Imaging Reporting and Data System (LI-RADS) v2018: diagnostic value of ancillary features favoring malignancy in hypervascular observations ≥ 10 mm at intermediate (LR-3) and high probability (LR-4) for hepatocellular carcinoma by Roberto Cannella; Federica Vernuccio; Hersh Sagreiya; Kingshuk Roy Choudhury; Negaur Iranpour; Daniele Marin; Alessandro Furlan is a Medicine article available to read on EtoBox.

What is Liver Imaging Reporting and Data System (LI-RADS) v2018: diagnostic value of ancillary features favoring malignancy in hypervascular observations ≥ 10 mm at intermediate (LR-3) and high probability (LR-4) for hepatocellular carcinoma about?

## Objective: This study was conducted in order to assess the diagnostic accuracy of li-rads v2018 ancillary features (afs) favoring malignancy applied to lr-3 and lr-4 observations on gadoxetate-enhanced mri. ## Methods: In this retrospective dual-institution study, we included consecutive patients at high risk for hepatocellular carcinoma (hcc) imaged with gadoxetate disodium-enhanced mri between 2009 and 2014 fulfilling the following criteria: (i) at least one lr-3 or lr-4 observation ≥ 10 mm; (ii) nonrim arterial phase hyperenhancement; and (iii) confirmation of benignity or malignancy by pathology or imaging follow-up. we compared the distribution of afs between hccs and benign observations and the diagnostic performance for the diagnosis of hcc using univariate and multivariate analyses. significance was set at p value < 0.05. ## Results: Two hundred five observations were selected in 155 patients (108 m, 47 f) including 167 (81.5%) lr-3 and 38 (18.5%) lr-4. there were 126 (61.5%) hccs and 79 (28.5%) benign lesions. a significantly larger number of afs favoring malignancy were found in lr-3 and lr-4 lesions that progressed to hcc compared to benign lesions (p < 0.001 and p =

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Author

Roberto Cannella; Federica Vernuccio; Hersh Sagreiya; Kingshuk Roy Choudhury; Negaur Iranpour; Daniele Marin; Alessandro Furlan

Publisher

Springer; Springer-Verlag; Springer Verlag; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 0938-7994)

Published

2020

Language

EN

Field

Medicine (Health Sciences)