H epatocellular carcinoma (HCC) accounts for the majority of primary liver cancers, which are the fourth leading cause of cancer-related deaths worldwide. The burden of HCC is increasing, mainly due to the rising prevalence of obesity and nonalcoholic fatty liver disease (1). Although surveillance programs have been implemented for at-risk patients (eg, patients with cirrhosis) to detect tumors at early stages and to allow for potentially curative treatment, such patients have high recurrence rates and heterogeneous recurrence-free survival (2). Indeed, HCC has strong genomic, molecular, and histologic heterogeneity (3,4). Several histologic subtypes of HCC associated with clinical and molecular features of different prognostic value have been described (5-7), among which the macrotrabecular-massive (MTM) HCC (MTM-HCC) subgroup has been recently identified (7,8). MTM-HCCs have been shown to be associated with poor survival, high serum a-fetoprotein (AFP) level, and histologic features of aggressiveness, including microvascular and macrovascular invasion and satellite nodules (8). This subtype has been newly included in the fifth edition of the World Health Organization Classification of Tumors (9).Identification of the aggressive HCC subtypes during pretherapeutic work-up may have strong prognostic and therapeutic implications (3). In patients with cirrhosis, the diagnosis of HCC may be performed noninvasively using multiphasic CT or dynamic contrast materialenhanced MRI using the Liver Imaging Reporting and Data System (LI-RADS), which provides standardization for HCC imaging acquisition and terminology and allows for accurate stratification of the probability of HCC and overall malignancy (2,10,11). As pathologic diagnosis is thus not systematically required, the identification
Our study showed that an automated coregistration-fusion method was more sensitive for detecting new high-signal T2 lesions in patients with MS and reducing reading time. This method could help to improve follow-up care.
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