How to use CT texture analysis for prognostication of non-small cell lung cancer
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology Nuclear Medicine and imaging,Oncology,General Medicine,Radiological and Ultrasound Technology
Link
http://link.springer.com/content/pdf/10.1186/s40644-016-0065-5
Reference12 articles.
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2. Fried DV, Tucker SL, Zhou S, Liao Z, Mawlawi O, Ibbott G, Court LE. Prognostic value and reproducibility of pretreatment CT texture features in stage III Non-Small Cell Lung Cancer. Int J Radiation Oncol Biol Phys. 2014;90:834–42.
3. Weiss GJ, Ganeshan B, Miles KA, Campbell DH, Cheung PY, Frank S, Korn RL. Non-invasive image texture analysis differentiates K-ras mutation from pan-wildtype NSCLC and is prognostic. PLoS One. 2014;9:e100244.
4. Bluthgen MV, Caramella C, Faire L, Rosellini S, Facchinetti F, Haspinger E, Ferte C, Ammari S, Michiels S, Soria JC, Besse B. Prognostic value of texture analysis in advanced Non-Small Cell Lung Cancer (NSCLC). Europ J Cancer. 2015;51:S645–S646.
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