Radiogenomics of hepatocellular carcinoma: multiregion analysis-based identification of prognostic imaging biomarkers by integrating gene data--a preliminary study.

Radiogenomics of hepatocellular carcinoma: multiregion analysis-based identification of prognostic imaging biomarkers by integrating gene data--a preliminary study.
Phys Med Biol. 2018 Jan 09;:
Authors: Xia W, Chen Y, Zhang R, Yan Z, Zhou X, Zhang B, Gao X
Abstract
To identify prognostic imaging biomarkers for hepatocellular carcinoma (HCC) in contrast-enhanced computed tomography (CECT) with biological interpretations by associating imaging features and gene modules.
 We retrospectively analyzed 371 patients who had gene expression profiles. For the 38 patients with CECT imaging data, automatic intra-tumor partition was performed resulting in three spatially distinct subregions. We extracted totally 37 quantitative imaging features describing intensity, geometry, and texture from each subregion. Imaging features were selected after robustness and redundancy analysis. Gene modules acquired from clustering were chosen for their prognostic significance. By constructing an association map between imaging features and gene modules with Spearman rank correlations, the imaging features that significantly correlated with gene modules were obtained. These features were evaluated with Cox's proportional hazard models and Kaplan-Meier estimates to determine their prognostic capabilities for overall survival.
 Eight imaging features were significantly correlated with prognostic gene modules, and two of them were associated with ...

Source: Physics in Medicine and Biology - January 9, 2018 Category: Physics Authors: Xia W, Chen Y, Zhang R, Yan Z, Zhou X, Zhang B, Gao X Tags: Phys Med Biol Source Type: research