Noninvasive Image Texture Analysis Differentiates K-ras Mutation from Pan-Wildtype NSCLC and Is Prognostic-Reference-Cited by-同舟云学术

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

Published:2014-07-02 Issue:7 Volume:9 Page:e100244
ISSN:1932-6203
Container-title:PLoS ONE
language:en
Short-container-title:PLoS ONE

Author:

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

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference18 articles.

1. Analysis of circulating tumor DNA to monitor metastatic breast cancer;S-J Dawson;N Engl J Med,2013

2. Assessment of Response to Tyrosine Kinase Inhibitors in Metastatic Renal Cell Cancer: CT Texture as a Predictive Biomarker 1 Methods: Results: Conclusion;V Goh;Radiology,2011

3. Tumor Heterogeneity as measured on the CT component of PET/CT Predicts Survival in Patients with Potentially Curable Non-Small Cell Lung Cancer;T Win;Clin Cancer Res,2013

4. Ferlay J, Shin HR, Bray F, Forman D MC and PD (2008) GLOBOCAN 2008 v2.0, Cancer Incidence and Mortality Worldwide: IARC CancerBase No. 10 [Internet]. Lyon, France: International Agency for Research on Cancer; 2010. Ferlay J, Shin HR, Bray F, Forman D, Mathers C Park DM GLOBOCAN 2008 v20, Cancer Incid Mortal Worldw IARC CancerBase No 10 [Internet] Lyon, Fr Int Agency Res Cancer; 2010 Available from http//globocan: Ferlay J, S GLOBOCAN 2008 v2.0, Cancer Incidence a. doi:10.1002/ijc.27711

5. Hedgehog signaling pathway molecules and ALDH1A1 expression in early-stage non-small cell lung cancer;G Raz;Lung Cancer,2012

Cited by 102 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting MET exon 14 skipping mutation in pulmonary sarcomatoid carcinoma by whole-tumour texture analysis combined with clinical and conventional contrast-enhanced computed tomography features;Translational Lung Cancer Research;2024-06

2. Radiotranscriptomics of non-small cell lung carcinoma for assessing high-level clinical outcomes using a machine learning-derived multi-modal signature;BioMedical Engineering OnLine;2023-12-15

3. Computed Tomography-Based Quantitative Texture Analysis and Gut Microbial Community Signatures Predict Survival in Non-Small Cell Lung Cancer;Cancers;2023-10-21

4. Review of the use of radiomics to assess the risk of recurrence in early-stage non-small cell lung cancer;Translational Lung Cancer Research;2023-07

5. CT-based radiomics prediction of complete response after stereotactic body radiation therapy for patients with lung metastases;Strahlentherapie und Onkologie;2023-05-31