4.7 Article

MRI features associated with HCC histologic subtypes: a western American and European bicenter study

Journal

EUROPEAN RADIOLOGY
Volume 33, Issue 2, Pages 1342-1352

Publisher

SPRINGER
DOI: 10.1007/s00330-022-09085-8

Keywords

Hepatocellular carcinoma; Histology subtypes; Liver MRI

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This study evaluated the ability of preoperative MRI to predict the most frequent subtypes of HCC in North American and European patients treated with surgical resection. The results showed that MRI can predict the characteristics of different HCC subtypes, which has important implications for future treatment and management.
Objectives To evaluate if preoperative MRI can predict the most frequent HCC subtypes in North American and European patients treated with surgical resection. Methods A total of 119 HCCs in 97 patients were included in the North American group and 191 HCCs in 176 patients were included in the European group. Lesion subtyping was based on morphologic features and immuno-histopathological analysis. Two radiologists reviewed preoperative MRI and evaluated the presence of imaging features including LI-RADS major and ancillary features to identify clinical, biologic, and imaging features associated with the main HCC subtypes. Results Sixty-four percent of HCCs were conventional. The most frequent subtypes were macrotrabecular-massive (MTM-15%) and steatohepatitic (13%). Necrosis (OR = 3.32; 95% CI: 1.39, 7.89; p = .0064) and observation size (OR = 1.011; 95% CI: 1.0022, 1.019; p = .014) were independent predictors of MTM-HCC. Fat in mass (OR = 15.07; 95% CI: 6.57, 34.57; p < .0001), tumor size (OR = 0.97; 95% CI: 0.96, 0.99; p = .0037), and absence of chronic HCV infection (OR = 0.24; 95% CI: 0.084, 0.67; p = .0068) were independent predictors of steatohepatitic HCC. Independent predictors of conventional HCCs were viral C hepatitis (OR = 3.20; 95% CI: 1.62, 6.34; p = .0008), absence of fat (OR = 0.25; 95% CI: 0.12, 0.52; p = .0002), absence of tumor in vein (OR = 0.34; 95% CI: 0.13, 0.84; p = .020), and higher tumor-to-liver ADC ratio (OR = 1.96; 95% CI: 1.14, 3.35; p = .014) Conclusion MRI is useful in predicting the most frequent HCC subtypes even in cohorts with different distributions of liver disease etiologies and tumor subtypes which might have future treatment and management implications.

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