Research progress of CT-based radiomics in prognosis and treatment response evaluation of lung cancer
ZHANG Kaituo
DUAN Jianchun
ZHAI Jinfang
ZHANG Jianxin
Abstract：CT based radiomics can extract high throughput quantitative features from medical images,providing a noninvasive and reproducible decision support tool for lung cancer management.In prognostic prediction,radiomics can be used to assess patient survival,risk of distant metastasis,and lymph node metastasis status,thereby assisting in risk stratification.For therapeutic evaluation,this technique enables early prediction of patient response to conventional chemoradiotherapy,immunotherapy,and targeted therapy,helping to identify potential beneficiary populations.By integrating radiomics features with clinicopathological information,more precise individualized treatment strategies can be developed.This article reviews the latest research progress of radiomics in prognostic prediction and treatment response assessment in lung cancer.
Keywords：RadiomicsTomographyX-ray computedLung cancerTreatmentPrognosis
Publication Date：2026-03-15
Online Publishing Date：2026-04-01(First online date of this platform, not the publication date of the document)
Pages：6( 197-201,219 )