Comprehensive Computed Tomography Radiomics Analysis of Lung Adenocarcinoma for Prognostication.

ABSTRACT:

Background

In this era of personalized medicine, there is an expanded demand for advanced imaging biomarkers that reflect the biology of the whole tumor. Therefore, we investigated a large number of computed tomography-derived radiomics features along with demographics and pathology-related variables in patients with lung adenocarcinoma, correlating them with overall survival.

Materials and methods

Three hundred thirty-nine patients who underwent operation for lung adenocarcinoma were included. Analysis was performed using 161 radiomics features, demographic, and pathologic variables and correlated each with patient survival. Prognostic performance for survival was compared among three models: (a) using only clinicopathological data; (b) using only selected radiomics feature

SUBMITTER: Lee G 

PROVIDER: S-EPMC6058328 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature