Response prediction of radiotherapy in lung cancer patients using multimodal data.

ABSTRACT:

Background and purpose

Radiotherapy (RT) is a critical treatment for lung cancer; however, individual responses vary significantly. Pre-treatment prediction of RT response could guide clinical decision-making and identify patients unlikely to benefit. This study aims to predict RT response in lung cancer patients using multimodal data.

Methods

Patients diagnosed with lung cancer and scheduled to undergo RT at a single institution between May 2022 and October 2024 were selected. Multimodal data, encompassing demographic, radiological, biological, and physiological characteristics, were collected 1 week before RT initiation. Treatment plans followed the International Commission on Radiation Units and Measurements (ICRU) Report 83 guidelines, developed using a commercial treatm

SUBMITTER: Duan X 

PROVIDER: S-EPMC12504048 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature