Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8453566 | Lung Cancer | 2018 | 20 Pages |
Abstract
The radiomic signature, derived from daily practice CT scans, has prognostic value for stage IV NSCLC, however the signature performs less than previously described for stage I-III NSCLC stages. In the future, machine learning techniques can potentially lead to a better prognostic imaging based model for stage IV NSCLC.
Keywords
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Authors
Evelyn E.C. de Jong, Wouter van Elmpt, Stefania Rizzo, Anna Colarieti, Gianluca Spitaleri, Ralph T.H. Leijenaar, Arthur Jochems, Lizza E.L. Hendriks, Esther G.C. Troost, Bart Reymen, Anne-Marie C. Dingemans, Philippe Lambin,