Atypical magnetic resonance imaging features and differential diagnosis of hepatocellular carcinoma

Objective Hepatocellular carcinoma (HCC) is the most common primary malignant tumor of the liver. We aimed to summarize and analyze the atypical magnetic resonance imaging (MRI) features of HCC to improve its diagnostic accuracy. Methods We retrospectively analyzed MRI data for 66 patients with HCC...

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Bibliographic Details
Published in:Journal of international medical research 2020-10, Vol.48 (10), p.300060520943415-300060520943415
Main Authors: Wang, Shuang-Yu, Yin, Lei, Wang, Chen, Ma, Ming-Ping
Format: Article
Language:English
Subjects:
Carcinoma, Hepatocellular - diagnostic imaging
Contrast Media
Diagnosis, Differential
Humans
Liver cancer
Liver Neoplasms - diagnostic imaging
Magnetic Resonance Imaging
Retrospective Clinical Research Report
Retrospective Studies
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Summary:Objective Hepatocellular carcinoma (HCC) is the most common primary malignant tumor of the liver. We aimed to summarize and analyze the atypical magnetic resonance imaging (MRI) features of HCC to improve its diagnostic accuracy. Methods We retrospectively analyzed MRI data for 66 patients with HCC with atypical MRI features confirmed by operation and pathology. Results Twelve patients had high signals and 18 patients had significant decreases in opposed phase signals in T1WI plain scans. Nine patients had high signals and six patients had large cystic lesions in apparent diffusion coefficient images. Dynamic enhancement showed progressive enhancement in 15 patients, ring enhancement in three, irregular patchy enhancement in three, ‘nodule-in-nodule’ enhancement in six, delayed central patchy enhancement in six, delayed central ‘star-like aristate scars’ (T2WI revealed high signal intensity) in 21, and poor blood supply in three patients. Conclusions MRI can make a clear diagnosis of typical HCC, and atypical cases can also be distinguished from other tumors or tumor-like lesions by MRI. The analysis of atypical signs may improve the diagnostic accuracy of MRI for HCC.
ISSN:0300-0605
1473-2300
DOI:10.1177/0300060520943415