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Dataset Information

Modeling the impact of out-of-phase ventilation on normal lung tissue response to radiation dose.


ABSTRACT:

Purpose

To create a dose-response model that predicts lung ventilation change following radiation therapy, and examine the effects of out-of-phase ventilation.

Methods

The dose-response model was built using 27 human subjects who underwent radiation therapy (RT) from an IRB-approved trial. For each four-dimensional computed tomography, two ventilation maps were created by calculating the N-phase local expansion ratio (LERN ) using most or all breathing phases and the 2-phase LER (LER2 ) using only the end inspiration and end expiration breathing phases. A polynomial regression model was created using the LERN ventilation maps pre-RT and post-RT and dose distributions for each subject, and crossvalidated with a leave-one-out method. Further va

SUBMITTER: Wallat EM 

PROVIDER: S-EPMC9486957 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature