Predicting cervical cancer target motion using a multivariate regression model to enable patient selection for adaptive external beam radiotherapy.

ABSTRACT:

Background and purpose

Interfraction motion during cervical cancer radiotherapy is substantial in some patients, minimal in others. Non-adaptive plans may miss the target and/or unnecessarily irradiate normal tissue. Adaptive radiotherapy leads to superior dose-volume metrics but is resource-intensive. The aim of this study was to predict target motion, enabling patient selection and efficient resource allocation.

Materials and methods

Forty cervical cancer patients had CT with full-bladder (CT-FB) and empty-bladder (CT-EB) at planning, and daily cone-beam CTs (CBCTs). The low-risk clinical target volume (CTV_LR) was contoured. Mean coverage of the daily CTV_LR by the CT-FB CTV_LR was calculated for each patient. Eighty-three investigated variab

SUBMITTER: Wang L 

PROVIDER: S-EPMC10901141 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature