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

Volume: 45, Issue: 2, Pages: 207 - 217
Published: Sep 24, 2017
Abstract
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. A cohort of 295 patients was selected. Clinical parameters (age,...
Paper Details
Title
Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery
Published Date
Sep 24, 2017
Volume
45
Issue
2
Pages
207 - 217
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