Correlation between radiomic features based on contrast‐enhanced computed tomography images and Ki‐67 proliferation index in lung cancer: A preliminary study

Abstract

Radiomic features based on contrast CT images, including inverse variance, minor axis, and elongation, can serve as noninvasive predictors of Ki-67 status in patients with lung cancer. Inverse variance could be superior to the other radiomic features to identify high Ki-67 status.