Noninvasive image texture analysis differentiates K-ras mutation from pan-wildtype NSCLC and is prognostic.
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How to use CT texture analysis for prognostication of non-small cell lung cancerDelta-radiomics features for the prediction of patient outcomes in non-small cell lung cancerMRI texture analysis parameters of contrast-enhanced T1-weighted images of Crohn's disease differ according to the presence or absence of histological markers of hypoxia and angiogenesis.MRI texture analysis (MRTA) of T2-weighted images in Crohn's disease may provide information on histological and MRI disease activity in patients undergoing ileal resection.Radiomics of pulmonary nodules and lung cancerRadiomic Features Are Associated With EGFR Mutation Status in Lung Adenocarcinomas.Harnessing Integrative Omics to Facilitate Molecular Imaging of the Human Epidermal Growth Factor Receptor Family for Precision Medicine.Limits of radiomic-based entropy as a surrogate of tumor heterogeneity: ROI-area, acquisition protocol and tissue site exert substantial influence.Development and clinical application of radiomics in lung cancer.Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?Tumor image-derived texture features are associated with CD3 T-cell infiltration status in glioblastoma.Quantitative texture analysis on pre-treatment computed tomography predicts local recurrence in stage I non-small cell lung cancer following stereotactic radiation therapy.Computer-Aided Nodule Assessment and Risk Yield (CANARY) may facilitate non-invasive prediction of EGFR mutation status in lung adenocarcinomas.Spatial habitats from multiparametric MR imaging are associated with signaling pathway activities and survival in glioblastoma.Comparison of Contrast-Enhanced CT and [18F]FDG PET/CT Analysis Using Kurtosis and Skewness in Patients with Primary Colorectal Cancer.Clinical applications of textural analysis in non-small cell lung cancer.Prognostic value of histogram analysis in advanced non-small cell lung cancer: a radiomic study.Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy.Texture analysis of the liver at MDCT for assessing hepatic fibrosis.On the impact of smoothing and noise on robustness of CT and CBCT radiomics features for patients with head and neck cancers.Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis.Deciphering Clinicoradiologic Phenotype for Thymidylate Synthase Expression Status in Patients with Advanced Lung Adenocarcinoma Using a Radiomics Approach.The developing role of FDG PET imaging for prognostication and radiotherapy target volume delineation in non-small cell lung cancerRebound After Fingolimod and a Single Daclizumab Injection in a Patient Retrospectively Diagnosed With NMO Spectrum Disorder-MRI Apparent Diffusion Coefficient Maps in Differential Diagnosis of Demyelinating CNS Disorders
P2860
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P2860
Noninvasive image texture analysis differentiates K-ras mutation from pan-wildtype NSCLC and is prognostic.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Noninvasive image texture anal ...... dtype NSCLC and is prognostic.
@ast
Noninvasive image texture anal ...... dtype NSCLC and is prognostic.
@en
type
label
Noninvasive image texture anal ...... dtype NSCLC and is prognostic.
@ast
Noninvasive image texture anal ...... dtype NSCLC and is prognostic.
@en
prefLabel
Noninvasive image texture anal ...... dtype NSCLC and is prognostic.
@ast
Noninvasive image texture anal ...... dtype NSCLC and is prognostic.
@en
P2093
P2860
P1433
P1476
Noninvasive image texture anal ...... dtype NSCLC and is prognostic.
@en
P2093
Balaji Ganeshan
David H Campbell
Glen J Weiss
Kenneth A Miles
Philip Y Cheung
Ronald L Korn
Samuel Frank
P2860
P304
P356
10.1371/JOURNAL.PONE.0100244
P407
P577
2014-07-02T00:00:00Z