Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery

Published on Feb 1, 2018in European Journal of Nuclear Medicine and Molecular Imaging7.081
· DOI :10.1007/S00259-017-3837-7
Margarita Kirienko20
Estimated H-index: 20
(Humanitas University),
Luca Cozzi64
Estimated H-index: 64
+ 6 AuthorsMartina Sollini22
Estimated H-index: 22
(Humanitas University)
Sources
Abstract
Purpose Radiomic features derived from the texture analysis of different imaging modalities e show promise in lesion characterisation, response prediction, and prognostication in lung cancer patients. The present study aimed to identify an images-based radiomic signature capable of predicting disease-free survival (DFS) in non-small cell lung cancer (NSCLC) patients undergoing surgery.
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