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).

Can microvascular invasion in hepatocellular carcinoma be predicted by diagnostic imaging? A critical review / A. Reginelli, G. Vacca, T. Segreto, R. Picascia, A. Clemente, F. Urraro, N. Serra, A. Vanzulli, S. Cappabianca. - In: FUTURE ONCOLOGY. - ISSN 1479-6694. - 14:28(2018 Dec), pp. 2985-2994. [10.2217/fon-2018-0175]

Can microvascular invasion in hepatocellular carcinoma be predicted by diagnostic imaging? A critical review

A. Vanzulli;
2018

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).
HCC features; hepatocellular carcinoma; imaging mVI detection; microvascular invasion; mVI predictors; Carcinoma, Hepatocellular; Humans; Liver Neoplasms; Magnetic Resonance Imaging; Microvessels; Neoplasm Invasiveness; Prognosis; Reproducibility of Results; Tomography, X-Ray Computed; Diagnostic Imaging
Settore MED/36 - Diagnostica per Immagini e Radioterapia
dic-2018
7-ago-2018
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/672688
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