Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study.

ABSTRACT:

Objectives

To evaluate whether combining stability and discriminability criteria in building radiomic classifiers will improve the prognosis of cancer recurrence in early stage non-small cell lung cancer on non-contrast computer tomography (CT).

Materials and methods

CT scans of 610 patients with early stage (IA, IB, IIA) NSCLC from four independent cohorts were evaluated. A total of 350 patients from Cleveland Clinic Foundation and University of Pennsylvania were divided into two equal sets for training (D₁) and validation set (D₂). 80 patients from The Cancer Genome Atlas Lung Adenocarcinoma and Squamous Cell Carcinoma and 195 patients from The Cancer Imaging Archive, were used as independent second (D₃) and third (D₄) validation

SUBMITTER: Khorrami M 

PROVIDER: S-EPMC7141152 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature