How to use CT texture analysis for prognostication of non-small cell lung cancer

CT Gray-Level Texture Analysis as a Quantitative Imaging Biomarker of Epidermal Growth Factor Receptor Mutation Status in Adenocarcinoma of the Lung

(2015) Efe Ozkan et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Preliminary investigation into sources of uncertainty in quantitative imaging features

(2015) Xenia Fave et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

3127 Prognostic value of texture analysis in advanced non-small cell lung cancer (NSCLC)

(2015) M.V. Bluthgen et al.   EUROPEAN JOURNAL OF CANCER

3133 Prognostic value of texture analysis and correlation with molecular profile in EGFR mutated/ALK rearranged advanced non-small cell lung cancer (NSCLC)

(2015) C. Caramella et al.   EUROPEAN JOURNAL OF CANCER

Prognostic Value and Reproducibility of Pretreatment CT Texture Features in Stage III Non-Small Cell Lung Cancer

(2014) David V. Fried et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Noninvasive Image Texture Analysis Differentiates K-ras Mutation from Pan-Wildtype NSCLC and Is Prognostic

(2014) Glen J. Weiss et al.   PLoS One

Tumor Heterogeneity and Permeability as Measured on the CT Component of PET/CT Predict Survival in Patients with Non-Small Cell Lung Cancer

(2013) T. Win et al.   CLINICAL CANCER RESEARCH

CT texture analysis using the filtration-histogram method: what do the measurements mean?

(2013) Kenneth A. Miles et al.   CANCER IMAGING

Non–Small Cell Lung Cancer: Histopathologic Correlates for Texture Parameters at CT

(2012) Balaji Ganeshan et al.   RADIOLOGY