What question did this study set out to answer?

To develop a multiparametric ultrasound model that enhances the non-invasive diagnosis of HCC using CEUS LI-RADS.

March 15, 2026JHEP ReportsOpen Access

PERSoN4: A Multiparametric Ultrasound Model to Improve CEUS LI-RADS for HCC

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Cohort study improves HCC diagnostic accuracy in liver nodules, suggesting a non-invasive approach.

To develop a multiparametric ultrasound model that enhances the non-invasive diagnosis of HCC using CEUS LI-RADS.
Enrolled patients with chronic liver disease and liver nodules for liver biopsy.
Conducted D-CEUS and classified findings according to LI-RADS.
Analyzed clinical and ultrasound data with univariable analysis and logistic regression.
Evaluated diagnostic accuracy using ROC curve and AUC.
Tested the model on a validation cohort from two centers.
High accuracy model with AUC of 0.91 for diagnosing HCC.
Validation cohort sensitivity of 48.8% and specificity of 100.0%.
Positive predictive value of 100.0% and fair diagnostic accuracy (AUC of 0.74).
Significant predictive variables included sex, number of nodules, and Peak Enhancement ratio.

Giorgio et al. (2026) studied this question.

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