The prediction value of microvascular invasion of hepatocellular carcinoma with CT and MR imaging features

HU Na; YANG Guo-qing; FU Quan-shui

doi:10.12117/jccmi.2018.08.012

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Journal of China Clinic Medical Imaging ›› 2018, Vol. 29 ›› Issue (8) : 575-579. DOI: 10.12117/jccmi.2018.08.012

The prediction value of microvascular invasion of hepatocellular carcinoma with CT and MR imaging features

HU Na, YANG Guo-qing, FU Quan-shui

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Abstract

Objective: To discuss the correlation between various imaging features and microvascular invasion(MVI) in hepatocellular carcinoma(HCC) by using CT and MR image. Methods: Sixty-eight HCC cases confirmed by pathology underwent CT and MR examinations. Two radiologists independently reviewed radiologic images to evaluate the following features for MVI: maximum diameter, tumor margins, two-trait predictor of venous invasion(TTPVI), portal vein tumor thrombosis(PVTT) and apparent diffusion coefficient(ADC). The correlation was analyzed for prediction of MVI based on imaging features of CT and MR. The receiver operator characteristics(ROC) curve was carried out to compare the diagnostic performance for non-smooth tumor margins, TTPVI and PVTT. Results: There were excellent agreement value of the two observes(all K value>0.8). Nonsmooth tumor margins, TTPVI and PVTT were all significantly related with MVI(P<0.001); The average ADC value of MVI group was significantly higher the non-MVI group(P<0.001); The area under ROC(AUROC) of nonsmooth margins and TTPVI were both significant higher than that of PVTT(P<0.001, respectively) according to observe 1 and 2. Conclusion: Nonsmooth tumor margins, TTPVI, PVTT and ADC value are high accuracy in the prediction of MVI in HCC.

Key words

Liver neoplasms / Tomography, X-ray computed / Magnetic resonance imaging

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HU Na, YANG Guo-qing, FU Quan-shui. The prediction value of microvascular invasion of hepatocellular carcinoma with CT and MR imaging features[J]. Journal of China Clinic Medical Imaging. 2018, 29(8): 575-579 https://doi.org/10.12117/jccmi.2018.08.012

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