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Abstract #0430

Diagnostic performance of LI-RADS major features, ancillary features, and categories on MRI for diagnosis of hepatocellular carcinoma

Milena Cerny1, Catherine Bergeron1, Jean-Sébastien Billiard1, Jessica Murphy-Lavallée1, Damien Olivié1, Joshua Bérubé1, Boyan Fan1, Hélène Castel2, Simon Turcotte3, Pierre Perrault1, and An Tang1,4

1Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), MONTREAL, QC, Canada, 2Department of Gastroenterology and Hepatology, Centre hospitalier de l'Université de Montréal (CHUM), MONTREAL, QC, Canada, 3Department of Surgery, Centre hospitalier de l'Université de Montréal (CHUM), MONTREAL, QC, Canada, 4Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), MONTREAL, QC, Canada

Diagnosis of hepatocellular carcinoma (HCC) is largely based on imaging. MRI is ideally suited for the non-invasive diagnosis of HCC because it has numerous tissue contrast mechanisms and is the only modality that can assess all major and ancillary imaging features. We evaluated the diagnostic performance of MRI-determined LI-RADS major features, ancillary features, and categories for the diagnosis of HCC. Our results suggest that interpretation that includes ancillary features increases the sensitivity, while preserving a high specificity for definite HCC and a slightly lower specificity for probable HCC. Further, ancillary features in favor of benign entities have high specificity for benignity.

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