Predicting Lung Cancer Patients' Survival Time via Logistic Regression-based Models in a Quantitative Radiomic Framework.

Background: Selection of the best treatment modalities for lung cancer depends on many factors, like survival time, which are usually determined by imaging.

Objectives: To predict the survival time of lung cancer patients using the advantages of both radiomics and logistic regression-based classification models.

Material And Methods: Fifty-nine patients with primary lung adenocarcinoma were included in this retrospective study and pre-treatment contrast-enhanced CT images were acquired.