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A non-smooth tumor margin on preoperative imaging assesses microvascular invasion of hepatocellular carcinoma: A systematic review and meta-analysis.
- Source :
-
Scientific reports [Sci Rep] 2017 Nov 13; Vol. 7 (1), pp. 15375. Date of Electronic Publication: 2017 Nov 13. - Publication Year :
- 2017
-
Abstract
- Microvascular invasion (MVI) is rarely diagnosed preoperatively in hepatocellular carcinoma (HCC). The aim of this meta-analysis is to assess the diagnostic power of a non-smooth tumor margin on preoperative imaging for MVI. We performed a literature search using the PubMed, Embase and Cochrane Library databases, and 11 studies were included involving 618 MVI-positive cases and 1030 MVI-negative cases. Considerable heterogeneity was found, and was indicated to be attributable to the mean patient ages in the included studies. In subgroups of studies with a mean patient age older than 60 years and studies with computed tomography (CT) as the imaging method (as opposed to magnetic resonance imaging (MRI)), heterogeneity was low, and the diagnostic odds ratio (DOR) of the single two-dimensional imaging feature for MVI was 21.30 (95% CI [12.52, 36.23]) and 28.78 (95% CI [13.92, 59.36]), respectively; this power was equivalent to or greater than that of certain multivariable-based scoring systems. In conclusion, a non-smooth tumor margin on preoperative imaging is of great value for MVI assessment and should be considered for inclusion in future scoring systems.
- Subjects :
- Humans
Margins of Excision
Neoplasm Invasiveness
Carcinoma, Hepatocellular blood supply
Carcinoma, Hepatocellular diagnostic imaging
Carcinoma, Hepatocellular surgery
Liver Neoplasms blood supply
Liver Neoplasms diagnostic imaging
Liver Neoplasms surgery
Magnetic Resonance Imaging
Microvessels diagnostic imaging
Microvessels surgery
Neovascularization, Pathologic diagnostic imaging
Neovascularization, Pathologic surgery
Tomography, X-Ray Computed
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 7
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 29133822
- Full Text :
- https://doi.org/10.1038/s41598-017-15491-6