Purpose: To assess role of the apparent diffusion coefficient (ADC) in the Liver Imaging Reporting and Data System (LI-RADS) version 2018 for the prediction of hepatocellular carcinoma (HCC).
Material And Methods: Retrospective analysis of 137 hepatic focal lesions in 108 patients at risk of HCC, who underwent magnetic resonance imaging of the liver. Hepatic focal lesions were classified according to LI-RADS-v2018, and ADC of hepatic lesions was calculated by 2 independent blinded reviewers.
Results: The mean ADC of LR-1 and LR-2 were 2.11 ± 0.47 and 2.08 ± 0.47 × 10 mm/s, LR-3 were 1.28 ± 0.12 and 1.36 ± 0.16 × 10 mm/s, LR-4, LR-5 and LR-TIV were 1.07 ± 0.08 and 1.08 ± 0.12 × 10 mm/s and LR-M were 1.02 ± 0.09 and 1.00 ± 0.09 × 10 mm/s by both observers, respectively. There was excellent agreement of both readings for LR-1 and LR-2 ( = 0.988), LR-3 ( = 0.965), LR-4, LR-5 and LR-TIV ( = 0.889) and LR-M ( = 0.883). There was excellent correlation between ADC and LI-RADS-v2018 ( = -0.849 and -0.846). The cut-off ADC used to differentiate LR-3 from LR-4, LR-5, and LR-TIV were ≤ 1.21 and ≤ 1.23 × 10 mm/s with AUC of 0.948 and 0.926.
Conclusions: Inclusion of ADC to LI-RADS-v2018 improves differentiation variable LI-RADS categories and can helps in the prediction of HCC.
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| http://dx.doi.org/10.5114/pjr.2022.113193 | DOI Listing |
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