Artificial intelligence for multi-time-point arterial phase contrast-enhanced MRI profiling to predict prognosis after transarterial chemoembolization in hepatocellular carcinoma.

Radiol Med · 2025 · PMC12546431 · PMID 40707767

Europe PMC DOI

hedged sentences

0.0800

closest p · 1.6× alpha

0.3700

boldest claim

The sentences

failed to reach statistical significancep = 0.08so close (0.05 < p ≤ 0.1)

Kaplan–Meier analysis revealed that the model significantly differentiated four risk groups in both the TACE monotherapy and TACE + MWA subgroups (log-rank p < 0.005), where conventional mRECIST failed to reach statistical significance ( p = 0.08 and 0.18, respectively).

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did not achieve significancep = 0.37not close (p > 0.1)

Similarly, while the radiomic-based model (Naive Bayes classifier) showed modest stratification in the TACE-only group ( p < 0.05), it did not achieve significance in the TACE + MWA group ( p = 0.37).

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