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Article

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

PloS one - 1 Jan 2014

Weiss Glen J, Ganeshan Balaji, Miles Kenneth A, Campbell David H, Cheung Philip Y, Frank Samuel, Korn Ronald L

Abstract excerpt

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...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 24987838
DOI: 10.1371/journal.pone.0100244
PMCID: PMC4079229

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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