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Article

Computer-Aided Nodule Assessment and Risk Yield (CANARY) may facilitate non-invasive prediction of EGFR mutation status in lung adenocarcinomas.

Scientific reports - 15 Dec 2017

Clay Ryan, Kipp Benjamin R, Jenkins Sarah, Karwoski Ron A, Maldonado Fabien, Rajagopalan Srinivasan, Voss Jesse S, Bartholmai Brian J, Aubry Marie Christine, Peikert Tobias

Abstract excerpt

Computer-Aided Nodule Assessment and Risk Yield (CANARY) is quantitative imaging analysis software that predicts the histopathological classification and post-treatment disease-free survival of patients with adenocarcinoma of the lung. CANARY characterizes nodules by the distribution of nine color-coded texture-based exemplars. We hypothesize that quantitative computed tomography (CT) analysis of the tumor and...

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Share to Adenocarcinoma of Lung
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 29247171
DOI: 10.1038/s41598-017-17659-6
PMCID: PMC5732170

Genes

EGFR
KRAS

Provenance

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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