Accurate non-invasive differentiation of primary liver cancers, such as hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (iCCA), and combined hepatocellular-cholangiocarcinoma (cHCC-CCA), is crucial for optimal management but challenging due to shared risk factors and overlapping imaging phenotypes. While the Liver Imaging Reporting and Data System category M effectively captures the classic targetoid appearance of large duct type iCCA, the small duct type frequently exhibits HCC-mimicking non-rim arterial phase hyperenhancement and non-peripheral washout, potentially compromising diagnostic specificity. Furthermore, cHCC-CCA presents a formidable diagnostic dilemma, existing on a continuous imaging spectrum that reflects its histologic dominance. This continuous imaging spectrum not only blurs radiologic distinctions but also complicates tissue sampling, limiting the diagnostic accuracy of core needle biopsies and highlighting the risk of misclassification. To enhance diagnostic clarity, this review highlights their key imaging hallmarks: while HCC typically shows non-rim arterial phase hyperenhancement (APHE) and non-peripheral washout, large duct iCCA displays a classic targetoid appearance with rim APHE and progressive central enhancement. Conversely, small duct iCCA often mimics HCC, and cHCC-CCA exhibits a variable spectrum depending on its predominant histologic component. Ultimately, overcoming these diagnostic pitfalls requires a rigorous, multidisciplinary approach that synthesizes imaging findings, serologic tumor markers, and clinical contexts.
The cross-sectional imaging findings play a crucial role in the diagnosis of hepatocellular carcinoma (HCC). Recent studies have shown that imaging findings of HCC are not only relevant for the diagnosis of HCC, but also for identifying genetic and pathologic characteristics and determining prognosis. Imaging findings such as rim arterial phase hyperenhancement, arterial phase peritumoral hyperenhancement, hepatobiliary phase peritumoral hypointensity, non-smooth tumor margin, low apparent diffusion coefficient, and the LR-M category of the Liver Imaging-Reporting and Data System have been reported to be associated with poor prognosis. In contrast, imaging findings such as enhancing capsule appearance, hepatobiliary phase hyperintensity, and fat in mass have been reported to be associated with a favorable prognosis. Most of these imaging findings were examined in retrospective, single-center studies that were not adequately validated. However, the imaging findings can be applied for deciding the treatment strategy for HCC, if their significance can be confirmed by a large multicenter study. In this literature, we would like to review imaging findings related to the prognosis of HCC as well as their associated clinicopathological characteristics.
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Combined hepatocellular-cholangiocarcinoma (cHCC-CCA) is a malignant primary liver carcinoma characterized by the unequivocal presence of both hepatocytic and cholangiocytic differentiation within the same tumor. Recent research has highlighted that cHCC-CCAs are more heterogeneous than previously expected. In the updated consensus terminology and WHO 2019 classification, “classical type” and “subtypes with stem-cell features” of the WHO 2010 classification are no longer recommended. Instead, it is recommended that the presence and percentages of various histopathologic components and stem-cell features be mentioned in the pathologic report. The new terminology and classification enable the exchange of clearer and more objective information about cHCC-CCAs, facilitating multi-center and multinational research. However, there are limitations to the diagnosis of cHCC-CCA by imaging and biopsy. cHCC-CCAs showing typical imaging findings of HCC could be misdiagnosed as HCC and subjected to inappropriate treatment, if other clinical findings are not sufficiently considered. cHCC-CCAs showing at least one of the CCA-like imaging features or unusual clinical features should be subjected to biopsy. There may be a sampling error for the biopsy diagnosis of cHCC-CCA. An optimized diagnostic algorithm integrating clinical, radiological, and histopathologic information of biopsy is required to resolve these diagnostic pitfalls.
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