Analysis of CT features and quantitative texture analysis in patients with lung adenocarcinoma: a correlation with EGFR mutations and survival rates.

B Sacconi, M Anzidei, A Leonardi, F Boni, L Saba, R Scipione, M Anile, M Rengo, F Longo, M Bezzi, F Venuta, A Napoli, A Laghi, C Catalano,


Clinical radiology, March 4, 2017


To investigate the correlation between conventional computed tomography (CT) features, quantitative texture analysis (QTA), epidermal growth factor receptor (EGFR) mutations, and survival rates in patients with lung adenocarcinoma. Sixty-eight patients were evaluated for conventional CT features and QTA in this retrospective study. A multiple logistic regression analysis and receiver operating characteristics (ROC) curve analysis versus death and EGFR status was performed for CT features and QTA in order to assess correlation between CT features, QTA, EGFR mutations, and survival rates. A p-value

Copyright © 2017 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.


Pubmed Link: 28258739

DOI: 10.1016/j.crad.2017.01.015