Noninvasive image texture analysis differentiates K-ras mutation from pan-wildtype NSCLC and is prognostic.

ABSTRACT:

Background

Non-invasive characterization of a tumor's molecular features could enhance treatment management. Quantitative computed tomography (CT) based texture analysis (QTA) has been used to derive tumor heterogeneity information, and the appearance of the tumors has been shown to relate to patient outcome in non-small cell lung cancer (NSCLC) and other cancers. In this study, we examined the potential of tumoral QTA to differentiate K-ras mutant from pan-wildtype tumors and its prognostic potential using baseline pre-treatment non-contrast CT imaging in NSCLC.

Methods

Tumor DNA from patients with early-stage NSCLC was analyzed on the LungCarta Panel. Cases with a K-ras mutation or pan-wildtype for 26 oncogenes and tumor suppressor genes were selected for QTA. QTA was appl

SUBMITTER: Weiss GJ 

PROVIDER: S-EPMC4079229 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature