Robust quantification of CT-ventilation biomarker techniques and repeatability in a porcine model.

ABSTRACT:

Background

Biomarkers estimating local lung ventilation have been derived from computed tomography (CT) imaging using various image acquisition and post-processing techniques. CT-ventilation biomarkers have potential clinical use in functional avoidance radiation therapy (RT), in which RT treatment plans are optimized to reduce dose delivered to highly ventilated lung. Widespread clinical implementation of CT-ventilation biomarkers necessitates understanding of biomarker repeatability. Performing imaging within a highly controlled experimental design enables quantification of error associated with remaining variables.

Purpose

To characterize CT-ventilation biomarker repeatability and dependence on image acquisition and post-processing methodology in anesthetized and mechanic

SUBMITTER: Flakus MJ 

PROVIDER: S-EPMC10544701 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature