| Literature DB >> 30084651 |
Alfonso Reginelli1, Giovanna Vacca1, Teresa Segreto1, Roberto Picascia1, Alfredo Clemente1, Fabrizio Urraro1, Nicola Serra1, Angelo Vanzulli2, Salvatore Cappabianca1.
Abstract
Imaging still has a limited capacity to detect microvascular invasion (mVI). The objective of this critical review is the evaluation of the most significant predictors of mVI in hepatocellular carcinoma (HCC) detectable by computed tomography, PET/computed tomography and MRI using a mathematical model. We systematically reviewed 15 observational studies from 2008 to 2018 to analyze factors with most impact on mVI detection. The most significant predictors of mVI correlating with imaging techniques were considered. From 1902 patients considered, we individuated 30 total predictors of mVI in a multivariate analysis. The most frequent predictors related to the highest presence with mVI in HCC were: α-fetoprotein (p < 0.0001), tumor size (p < 0.0001) and number of HCC nodules (p = 0.0020).Entities:
Keywords: HCC features; hepatocellular carcinoma; imaging mVI detection; mVI predictors; microvascular invasion
Mesh:
Year: 2018 PMID: 30084651 DOI: 10.2217/fon-2018-0175
Source DB: PubMed Journal: Future Oncol ISSN: 1479-6694 Impact factor: 3.404