fig1

Gd-EOB-DTPA-enhanced MRI radiological and deep learning radiomics models for predicting dual-phenotype hepatocellular carcinoma and patient prognosis

Figure 1. Representative MRI images with corresponding histopathological findings from a DPHCC case. (A) T2WI image showing slightly heterogeneous high signal intensity; (B) DWI image (b = 800 s/mm2) showing marginal ring-like high signal intensity; (C) Arterial phase image showing marginal circular enhancement with intratumoral vascularity and central low signal intensity; (D) Portal venous phase image showing persistent peripheral enhancement; (E) Hepatobiliary phase image showing low signal intensity; (F) Immunohistochemical staining (original magnification 100×) showing CK19 (+). MRI: Magnetic resonance imaging; DPHCC: dual-phenotype hepatocellular carcinoma; T2WI: T2-weighted imaging; DWI: diffusion-weighted imaging; CK19: cytokeratin 19.

Artificial Intelligence Surgery
ISSN 2771-0408 (Online)
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