A novel personalized time-varying biomechanical model for estimating lung tumor motion and deformation.

ABSTRACT:

Background

Accurate prediction of lung tumor motion and deformation (LTMD) is essential for precise radiotherapy. However, existing models often rely on static, population-based material parameters, overlooking patient-specific and time-varying lung biomechanics. Personalized dynamic models that capture temporal changes in lung elasticity are needed to improve LTMD prediction and guide treatment planning more effectively.

Purpose

This study aims to develop a patient-specific, time-varying biomechanical model to predict LTMD more accurately.

Methods

Four-dimensional computed tomography (4DCT) images from 27 patients, each with 10 breathing phases, were analyzed. A finite element model was developed, modeling lung as a hyper-elastic material and tumor as linear elastic.

SUBMITTER: Tan L 

PROVIDER: S-EPMC12409114 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature