Whole-brain radiotherapy associated with structural changes resembling aging as determined by anatomic surface-based deep learning.

ABSTRACT:

Background

Brain metastases are the most common intracranial tumors in adults and are associated with significant morbidity and mortality. Whole-brain radiotherapy (WBRT) is used frequently in patients for palliation, but can result in neurocognitive deficits. While dose-dependent injury to individual areas such as the hippocampus has been demonstrated, global structural shape changes after WBRT remain to be studied.

Methods

We studied healthy controls and patients with brain metastases and examined MRI brain anatomic surface data before and after WBRT. We implemented a validated graph convolutional neural network model to estimate patient's "brain age". We further developed a mixed-effects linear model to compare the estimated age of the whole brain and substructures before

SUBMITTER: Rammohan N 

PROVIDER: S-EPMC10326473 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature